What: A study of 3,000 U.S. consumers found AI-generated video ads underperformed human-made ones by 14% on short-term sales potential and 17% on long-term brand equity, even though consumers could not reliably tell them apart.

Why it is important: It gives retail marketing leaders an evidence-based framework for where AI creative works (conventional, product-driven work) and where human judgment is still required (emotional nuance, brand storytelling).

A study co-led with Ipsos tested 20 video ads for major brands, half made by humans and half entirely by AI from the same creative briefs. Consumers could not reliably distinguish the two, but the AI versions performed measurably worse commercially. The Chewy example illustrates why: the human-made spot built a precise emotional device around a dog aging over the years, while the AI version told a more generic, less specific story.

AI performed best on conventional, product-driven briefs with clear structures, as seen with Febreze and Herbal Essences, where AI versions matched human ones on sales potential. It performed worst on briefs requiring emotional specificity or narrative surprise, such as a Fiat spot that lost the human version's humor. The recommendation is to stop measuring AI creative by cost or speed and instead track its actual effect on persuasion, memory, and brand equity, scaling only what performs as well or better than human-made work.

IADS Notes: Earlier coverage has tracked AI's expanding but uneven role across the marketing function. Journal du Net's July 2026 reporting framed AI-generated product visuals as a measurable commercial lever tied directly to conversion and return rates, treating output quality as a performance question rather than a production shortcut — a framing that anticipates this study's insistence on measuring efficacy over cost. The regulatory dimension has also been building: Reuters reported in June 2026 that Eurocommerce lobbied to exempt non-misleading AI-generated retail advertising from the EU AI Act's disclosure requirements, while Inside Retail's coverage the same month noted that Korea moved in the opposite direction, mandating disclosure of AI-generated content and endorsers to protect consumer trust. Separately, BCG's June 2026 analysis described a parallel shift at the delivery layer, with AI agents increasingly assembling personalized offers and micro-journeys in real time rather than following fixed campaign structures — a reminder that the effectiveness question this study raises about *what* AI creates sits alongside a broader transformation in *how* that creative gets deployed to customers.

AI-generated ads perform worse than human-made ones, even when customers can't tell them apart

PRINTABLE VERSION HERE 

Nine million people registered for pre-sale tickets for Céline Dion’s September 2026 concerts. Compared with the total seating capacity across her 16-concert Paris residency, that’s nineteen wannabe attendees for every seat. That’s probably why, last April, Galeries Lafayette CEO Arthur Lemoine told French newspaper Le Monde that he expected a “significant positive impact” at the Boulevard Haussmann flagship this autumn.

His reasoning drew on a specific precedent: during Taylor Swift’s six French concerts in 2024 — four at the very same La Défense Arena, plus two in Lyon — Galeries Lafayette registered a measurable uplift in traffic. Lemoine specifically cited the impact of the Lyon dates reaching Haussmann, a remarkable observation given that Lyon is 470 km from Paris. If concerts in a different city generated spillover, the implication for 16 Dion concerts in the French capital itself is clear.

Lemoine’s comment was not wishful thinking. It was grounded in a pattern tracked across sporting events and entertainment phenomena over the past several years, and one that the data increasingly support: landmark cultural events function as demand shocks for premium retail, particularly for department stores positioned as destinations in their own right.

Céline Dion in Paris: fans’ hearts will go on

Céline Dion’s Paris residency is shaping up as one of the most significant entertainment events in Europe in 2026.

The residency comprises 16 concerts at Paris La Défense Arena (Europe’s largest indoor venue), spread across five weeks in September and October 2026. The total capacity is capped at approximately 30,000 per show (the arena holds up to 45,000, but production design limits seating), implying a total audience of roughly 480,000 concertgoers over the run. Over 9 million pre-sale registrations were recorded before the artist pre-sale opened on 7 April — a figure that signals massive unmet demand and, crucially, a large pool of international fans who will compete for hotel rooms, restaurant tables, and retail experiences. Six additional dates were added within 48 hours of pre-sale opening, on the back of what organisers described as “phenomenal demand.” Marriott Bonvoy is the official hotel partner, offering VIP experience packages — a direct indication that the event is structured to drive multi-day tourism stays, not just single-evening attendance.

The audience profile matters as much as the volume. Céline Dion’s fanbase skews older and more affluent than that of a typical pop tour. Her career spans nearly four decades; her peak commercial period — the mid-1990s to mid-2000s — means her core following is now aged 35–60, a demographic that aligns closely with the primary customer profile of flagship department stores: internationally mobile, with high disposable income, and inclined to frame travel around cultural experiences. This is further amplified by the emotional narrative of Dion’s return to the stage after years of public struggle with Stiff Person Syndrome[1], a rare neurological disorder — a story that has generated worldwide media coverage and deepened the event’s symbolic resonance. Over 200 million records sold worldwide make her the best-selling Canadian recording artist and the best-selling French-language artist of all time.

In the past, Céline Dion’s two Las Vegas residencies at the Colosseum at Caesars Palace (2003–2007 and 2011–2019) grossed a combined $681 million (€578m) in ticket sales and attracted over 4.5 million spectators across 1,141 performances. Her second residency averaged $693,000 per show (€588,000). That Las Vegas track record demonstrates that a stationary artist can serve as a sustained tourism magnet, generating consistent demand for hospitality, retail, and dining over multi-year periods[2].

What Swiftonomics already taught us

The “Swiftonomics” phenomenon is documented (read the 2024 IADS Exclusive here), and provides the most granular evidence base for projecting the retail impact of the Céline Dion residency — all the more so because Taylor Swift performed at the very same venue.

Taylor Swift played four concerts at Paris La Défense Arena in May 2024, launching the European leg of her Eras Tour, followed by two additional shows in Lyon in June. Around one million people registered for tickets in France. Arthur Lemoine’s specific reference to the Lyon dates generating a measurable impact at Haussmann — despite Lyon being 470 km away — suggests an additional echo in Paris, beyond the four La Défense shows. As a consequence, the potential impact of Celine Dion’s concerts might be at two levels: a direct effect from Paris concerts, as demonstrated by the Taylor Swift concerts, and a spillover effect from unmet demand, as demonstrated by the distant Lyon dates[3].

Globally, the Eras Tour (2023–2024) grossed approximately $2.2 billion (€1.9bn) in ticket revenue across 149 shows worldwide and generated an estimated $7 billion (€5.9bn) in total retail economic impact across North America, according to Chain Store Age. It is estimated that the total economic footprint — including indirect spending by non-ticket holders drawn to the cultural moment — likely exceeded $10 billion (€8.5bn).

The per-show economics are striking. In 2024, North American concertgoers spent an average of $1,572 (€1,335) per show for the full experience (tickets, travel, lodging, outfits, merchandise, food and beverage), up 21% from $1,303 (€1,107) in 2023. 64% of Eras Tour attendees made concert-related purchases in categories including apparel, footwear, accessories, cosmetics, and crafts.

At the city level, the pattern was consistent across virtually every stop. In the U.S., Pittsburgh saw $46 million in direct spending from two concerts (€39m), with 83% of attendees coming from outside the county and hotel occupancy reaching 95%. Chicago set an all-time hotel revenue record of $39 million (€33m) during one concert weekend. Denver’s two shows added $140 million (€119m) to Colorado’s GDP. Los Angeles saw $320 million (€261m) in total economic impact from six shows, with 3,300 temporary jobs created. In the UK, Swift’s shows were estimated to boost London’s economy by £300 million (€344m) and Edinburgh’s by £77 million (€89m). In Ireland, concert-related spending increased by 88%.

What K-pop also suggests

Asian department stores have developed the most sophisticated playbooks for converting concert traffic into retail revenue, driven by the economic power of K-pop fandoms.

BTS — Seoul, March 2026

BTSnomics 2.0, as the Korean press has cheerfully named it, is exactly the playbook European department stores now need to study.

According to Inside Retail Asia, following BTS’s comeback concert at Gwanghwamun Square (21 March 2026), department store sales surged by over 40% during the comeback week. Duty-free merchandise sales rose by up to 430%. Brands endorsed by individual BTS members saw improved sales, such as Calvin Klein (endorsed by Jungkook). Five-star hotels near Gwanghwamun sold out entirely, with rates reaching ₩1.5 million (€865) per night. The economic impact of the single Gwanghwamun concert is estimated at approximately $177 million.

Korean department stores prepared proactively and systematically. Lotte Department Store launched discount events for foreign passport holders at its Myeongdong and Jamsil branches from 19–29 March, coordinating with online travel platforms to issue 5% discount coupons. Hyundai Department Store transformed The Hyundai Seoul into a “K-pop sanctuary,” with monthly pop-ups for idol group merchandise starting with EXO and ENHYPEN, a K-culture experience zone for foreigners, and a foreigner-exclusive integrated membership programme (“H.Point Global”). Hyundai had also been developing packaged products that linked hotels, shopping, exhibitions, and experiential content for foreign tourists for a few years already.

BlackPink — Hong Kong, January 2026

The K-pop group’s three-night “Deadline” world tour finale at Kai Tak Stadium drew over 356,400 mainland Chinese visitors to Hong Kong over one weekend — a January record. Hotel occupancy near the venue exceeded 90%, with some properties charging over HK$7,000 per night (€760). Retailers in the Kai Tak area, including SOGO, reported an uptick in both concert-related merchandise and general tourism goods. Industry leaders called on authorities to develop more systematic celebrity tie-ups as a tourism lever.

The “ticketless economy” model

Analysts tracking BTS have noted that many fans travel internationally to concert cities without tickets, simply to participate in the cultural moment — spending on hotels, food, fashion, and experiences. This pattern of “ambient consumption” around a major event is exactly what Galeries Lafayette could also bank on. With 9 million registrations for Céline Dion’s 480,000 available seats, the ratio of unmet demand to supply virtually guarantees a significant pool of non-ticket-holding visitors in Paris during the five-week residency window.

What Paris 2024 Olympics actually did to sales

IADS benchmarked the retail impact of recent major sporting events, including the London 2012 and Paris 2024 Olympics. The Paris Games, in particular, provided a real-world case study for understanding how large-scale events affect department store performance.

During the Games (29 July – 11 August 2024)

In France, national FMCG sales rose 2.7% in value — a swing of 3.8 percentage points against the January–July trend of -1.1%. The effect was amplified in proximity to competition sites. Décathlon’s flagship in Paris Madeleine saw a 28% increase in footfall; its Villeneuve-d’Ascq campus near Lille registered 22% more visitors. Carrefour’s central Paris convenience stores recorded a 25% increase in sales, with mascot sales tripling initial estimates to over 560,000 units. The sports equipment category surged by 7.2% in supermarkets, against a year-to-date decline of 17.2%. Analysts found that weather accounted for only 18% of volume growth in Paris and 37% nationally; the remainder was attributable to the event itself and the influx of tourists.

However, for department stores, the story was more nuanced. Galeries Lafayette had initially budgeted for a 5–10% dip in summer sales due to traffic restrictions and disruption. In practice, the impact was less severe: July was down but above expectations, and August was “almost flat.”

September–December 2024 — the “post-Olympic glow”

The real benefit came after the closing ceremony. As Arthur Lemoine confirmed in a November 2024 interview with WWD, September saw “high growth” as tourists charmed by the television spectacle of the Games came to discover — or rediscover — Paris. October sales at Haussmann rose 15% year-on-year, powered by a mix of domestic and international customers. The store was on track for its 4% annual growth target, and Lemoine expressed confidence in Christmas trading. The Banque de France, in its September 2024 note, attributed an estimated 0.25 percentage points of GDP growth in Q3 2024 to the Olympic effect, with market services (hospitality, retail, dining) identified as the principal contributor to the rise.

The lesson is that the greatest retail benefit from a cultural event often comes not during the event itself but in the weeks and months that follow, as the city’s enhanced visibility translates into sustained tourism. The five-week Céline Dion residency (September–October) is ideally timed to generate precisely this kind of post-event tail into the critical Q4 trading period.

So what should department stores actually do?

Based on various IADS studies conducted for its members, we identified three phases of action.

Before the event

The preparatory phase is where most of the commercial upside is either locked in or lost, and its defining discipline is lead time.

Experience from previous large-scale event activations suggests that assortment development and influencer programming need to be underway several months before the event itself — the window in which pre-orders, demand signals, and inventory planning can still be meaningfully shaped:

• The product assortment is the first lever: co-branded capsules or exclusive products developed with brands already aligned with the artist’s aesthetic tend to outperform generic event-themed merchandise because they link the store to the cultural moment without encroaching on the artist’s own merchandising operation.
• The same logic applies to marketing. Campaigns routed through sports or music influencers tend to reach audiences already aware of the event, whereas fashion influencers pull style-conscious consumers into the conversation and meaningfully expand the addressable market. Co-branded activations with partner brands consistently outperform standalone retailer campaigns, which can confuse customers when run alongside brand partnerships. For effective activations, department stores are therefore better served by partnering with brands already in the event’s orbit than by constructing a standalone event-themed identity.

The second lever is cross-category thinking: a landmark event ripples well beyond the obvious merchandise. Electronics (as audiences upgrade their viewing and listening setups), spirits, fragrances, and watches tend to see a lift around cultural moments of this scale, and a department store’s structural advantage over specialist retailers lies precisely in its ability to capture that spend across categories within a single visit.

Foreign-visitor infrastructure is the third axis: multilingual signage, visible tax-free shopping, and passport-linked promotions, following the Korean playbook in which Lotte and Hyundai coordinated directly with online travel platforms. Hotel partnerships close the loop — in the Dion case, Marriott Bonvoy, the official hotel partner, is the natural conduit for embedding store visits into VIP concert packages before guests ever arrive in Paris.

During the event window

Once the residency is underway, the commercial question shifts from attracting the audience to capturing the share of its spend that would otherwise disperse across the city.

The most direct lever is repositioning the store itself as a pre-show destination, reinforced by extended opening hours on concert evenings and by targeted digital advertising to ticket-holders — geotargeted, social, and routed through hotel concierge partnerships, with the Marriott Bonvoy tie-up as the obvious anchor in the Dion case. In-store gathering spaces play the same role the Korean “K-pop sanctuary” format plays around BTS comebacks: livestream viewing areas, themed activations, and photo opportunities that convert ambient fans — many of them without tickets — into dwell time on the sales floor. Assortment should follow the same logic as the preparatory phase: concert-adjacent categories (fashion, beauty, accessories, fragrances) that capture the mood without trespassing on the artist’s official merchandising operation. Food and beverage is the underappreciated driver. Prior IADS work around major sporting events has repeatedly identified F&B as a critical traffic generator and dwell-time extender, and the logic transfers directly to concert nights: pre-show dining experiences, themed cocktails, and post-concert gathering spaces are the mechanisms through which consumer spend is retained within the store rather than surrendered to surrounding restaurants and bars.

After the event

The post-event phase is where the largest long-term opportunity sits, and it is also the phase most often under-exploited.

The Olympic precedent is instructive: Galeries Lafayette’s September–December 2024 performance — with October sales at Haussmann up 15% year-on-year and the store on track for its 4% annual growth target — demonstrated that the “glow” generated by a landmark event can be materially more valuable than the event window itself, because the city’s enhanced international visibility continues to convert into tourism long after the crowds have dispersed. Sustaining that momentum is a function of deliberate programming rather than passive benefit: cultural activations, seasonal campaigns, and continued international marketing that keep Paris in the global conversation are what turn a one-off spike into a multi-month tail. The timing of the Dion residency is, in this respect, unusually favourable. Its September–October window hands department stores a three-month runway into Christmas trading — arguably the most commercially sensitive quarter of the year — during which the residual international attention can be harvested against the sector’s highest-margin calendar.

The counterpoint: when events disappoint

Not all landmark events deliver for retail. When studying the London 2012 Olympic Games, we realised that central high-street footfall declined in the first week as regulated traffic lanes diverted consumers away from commercial areas — which, to be fair, no London retailer had budgeted for. According to Transport for London, about one-third of Londoners changed their travel habits, and road traffic was cut by approximately 15%. As people avoided hotspots, central London high streets were quieter than expected. Sunday trading hours were extended, but many retailers absorbed higher staff and energy costs with minimal return. The British Retail Consortium reported that retailers’ hopes of an Olympic spending boost “were dashed as shoppers stayed away from the high street and enjoyed the sporting spectacle from their armchairs.” British online sales fell by 11% in August 2012, as consumers watched sport instead of shopping. Even with some customers switching to physical retail, the revived enthusiasm failed to lift sales volumes.

Business travel also dries up. In a September 2025 interview, United Airlines CEO Scott Kirby called the Olympic Games a 'net negative' for airlines: business travel to host cities comes to a standstill because executives cannot find hotels and want to avoid crowds, while the additional leisure flights airlines add are not enough to offset the lost high-yield corporate revenue. He was speaking ahead of the 2026 Milan-Cortina Winter Olympics and the 2028 Los Angeles Summer Games.

The notable exception was John Lewis, which reported an 11.2% uplift in year-on-year sales in the week building up to the Olympic opening ceremony. Electricals and home technology grew 32.5% as consumers purchased screens and devices to watch live events. John Lewis also reported a 14.5% rise in total sales the week after the Games ended — an early example of the “post-event glow” that Galeries Lafayette would later experience at scale after Paris 2024.

The critical variable across all these cases is location and accessibility. The London 2012 experience was negative for retail in part because Games Lanes physically disrupted the consumer journey to stores. In Paris 2024, Galeries Lafayette’s Haussmann location sat outside the security perimeters and maintained normal pedestrian and cyclist access throughout — and benefited accordingly. For the Céline Dion residency, the risk profile is even more favourable: the La Défense Arena sits in the western suburbs of Paris, meaning central Paris retail will face no access disruption whatsoever, while capturing the overflow of visitors staying in the city, dining, shopping, and extending their stays beyond concert evenings.

Céline Dion in Paris, Taylor Swift across Europe, BTS in Seoul, BlackPink in Hong Kong, and the Paris Olympics are not discrete episodes but instances of a structural shift in how discretionary consumption is organised: increasingly around cultural moments rather than against a flat calendar. The implication for department stores is that the capacity to plug into that calendar — to identify the right events eighteen months out, to align assortment, marketing, and F&B around them, and to extend the commercial tail into the quarters that follow — is becoming a durable competitive capability in its own right, rather than a one-off marketing exercise. Those that build this capability systematically will convert each landmark moment into both an immediate uplift and a compounding reinforcement of their position as destinations; those that treat each event as a standalone campaign will continue to capture a fraction of what the data show is available. The Dion residency is, on that reading, less an opportunity than a test of whether the sector has absorbed the lessons of the past three years and is ready to operationalise them at the pace the cultural calendar now demands.

[1] Stiff-person syndrome (SPS) is a rare neurological disorder. Symptoms may include stiff muscles in the torso, arms, and legs, and greater sensitivity to noise, touch, and emotional distress, which can set off muscle spasms.

[2] Before Céline Dion, Las Vegas residencies were associated with artists on the downside of their careers; she redefined the format at the peak of hers, paving the way for the modern era of mega-residencies.

[3] With Céline Dion’s 16 dates representing four times Taylor Swift’s Paris engagement at the same venue, and with over 9 million pre-sale registrations versus approximately one million for Swift in France, the scale of both direct and spillover effects should be substantially larger.

Credits: IADS (Selvane Mohandas du Ménil)

What: AI is removing the cognitive limits that have long shaped strategic planning, letting companies search far more options, model markets in far greater detail, and pressure-test decisions before they reach the leadership table.

Why it is important: As AI models become commodities available to everyone, competitive advantage will come from what firms build on top of them — proprietary data, embedded processes, and speed — making this a strategic capability question for department stores, not just an efficiency one.

For decades, strategy tools such as SWOT analysis and Porter's Five Forces stayed simple because human teams could only hold and debate so many alternatives in a planning cycle. Generative AI and multi-agent systems now relax that constraint directly, expanding what companies can search, model, and stress-test before committing to a decision. Firms can screen thousands of acquisition targets instead of a shortlist, build continuously updated models of demand and competitors instead of static frameworks, and run structured "creator versus critic" challenges instead of relying on a single meeting's group dynamics. Research cited in the article found AI-generated business plans rated more favorably by investors than plans from human entrepreneurs, and AI's evaluations were more internally consistent than individual experts' judgments.

Because the underlying models are increasingly available to everyone, the article argues durable advantage will not come from access to AI itself but from what companies build on top of it: proprietary data that sharpens the model, workflows embedded in a firm's own processes, and the speed to reach — and keep reaching — the frontier before rivals do.

IADS Notes: The article's account of AI expanding strategic search, environmental modeling, and structured challenge aligns with a pattern already forming in retail decision-making. BCG's July 2026 analysis described a distinct category of "decision agents" built specifically for high-stakes choices — supply chain planning, product innovation, capital allocation, and market entry — that combine cross-functional evidence and real-time scenario testing rather than simply automating execution. A month earlier, a Consumer Goods Forum and BCG board brief found that the competitive divide among retailers and CPG companies is increasingly between those embedding AI into core, EBIT-linked decision-making and those still confined to disconnected pilots — echoing the article's point that proprietary data and process, not the underlying models, are what create durable advantage. Concrete department-store evidence of this shift comes from Lotte's rollout of AI agents and a governed semantic layer, which produced a 400% increase in analytics usage and a 90% efficiency gain by giving non-technical staff natural-language access to enterprise data. At the same time, Seramount's framework from June 2026 cautions that hiring, performance management, ethical standards, and final accountability should remain human-led even as automation and augmentation expand elsewhere — a distinction consistent with the article's own argument that AI unbounds the analytical work of strategy while leaving judgment about beliefs, risk tolerance, and identity squarely in human hands.

AI is revolutionising strategic decision-making

What: HBR argues that declining stores reflect the failure of the traditional merchant model — not the death of physical retail — and that retailers should shift toward a platform model in which brands own more of the inventory risk.

Why it is important: It reframes AI-driven buying agents as an accelerant, not a side issue: as demand becomes more transparent and volatile, retailers still carrying inventory risk are the most exposed, sharpening the urgency of the platform shift.

The traditional retail merchant model — forecasting demand, buying inventory ahead of the season, and absorbing the cost of getting it wrong — is buckling under faster-changing consumer preferences, shorter brand cycles, and social-media-driven demand shifts. This is not a case for consumer flight from stores: closures reflect an outdated risk allocation, not the failure of physical retail.

The authors argue for a shift toward a platform model, in which retailers earn from traffic, curation, and access rather than owning every inventory decision. Harrods' concession-based partnerships are cited as a model already working, alongside Amazon and Alibaba's agency approach to online marketplaces. Retailers considering the shift should ask where forecast error is costliest, where brand expertise adds the most value, what control they must retain (data, standards, layout), and whether ruinous inter-store competition justifies the change.

The stakes are rising further with the emergence of AI-powered buying agents, which will make demand more transparent and volatile in real time, redirecting purchases faster than traditional merchandising can respond and increasing the cost of retailers still carrying inventory risk directly.

IADS Notes: The argument that department stores should behave as platforms rather than merchants finds direct support in recent trade coverage. Frasers Group's acquisition of Harvey Nichols was read as evidence that large physical footprints still hold value when repurposed around curation, services and experience rather than product breadth alone, as reported by the Financial Times in August 2026. Saks Global's post-bankruptcy operating model illustrates the same shift in practice: the retailer now runs more than 350 concession and consignment agreements alongside traditional wholesale, moving inventory risk onto vendors in exchange for a broader curated assortment, according to WWD's coverage from June 2026. Store-in-store partnerships that the HBR piece treats as still marginal in the US are nonetheless spreading: Ikea's shop-in-shop tie-up with Best Buy, launched across ten US locations, was noted by Chainstore Age in November 2025. In the UK, Next's 132,000 sq ft multi-brand flagship at Bluewater — combining its own ranges with third-party labels including Ted Baker, Gap and Bath & Body Works — was covered by Retail Week in July 2026 as part of a broader push toward large-format, curated multi-brand destinations.

The store isn't dead—but the merchant model is

What: E-commerce sites will soon need to convince AI shopping agents, not just human shoppers, as agentic commerce reshapes online retail.

Why it is important: As tech platforms like Google consolidate multi-retailer transactions into single AI-powered checkouts, retailers risk losing direct customer relationships and first-party data unless they adapt their digital strategy now.

Agentic commerce marks a turning point for e-commerce: consumers can now delegate product search, comparison, selection and purchase to AI assistants, meaning online retailers must convince algorithms rather than individual shoppers. After earlier waves of predictive and generative AI, this third wave gives AI the ability to plan, decide and act autonomously across multiple systems to complete a task.
Major players — Google, OpenAI, AWS, Shopify and Walmart — are investing heavily in agents that can compare products, check reviews and even complete a purchase in one step. With ChatGPT reaching close to 900 million weekly users and more than half of consumers now using generative AI to research or compare products, this shift is already under way.
The change reverses two decades of pay-for-visibility logic. Retailers now need agent-ready platforms exposing reliable product data, real-time stock, promotions, loyalty schemes, payment options and after-sales service, not just an optimised product page. Paradoxically, this also raises the value of what AI cannot easily replicate: brand strength, customer relationship quality and consumer trust.

IADS Notes: The shift described here builds on a body of reporting from the past year. McKinsey's October 2025 analysis detailed how AI-powered search is becoming the primary gateway for product discovery, with the resulting decline in traditional search traffic pushing brands toward Generative Engine Optimization. BCG's October 2025 piece reached a similar conclusion, tying the SEO-to-GEO shift directly to disintermediation risk as agents embedded in ChatGPT, Perplexity and Google Gemini increasingly mediate purchase decisions. On the infrastructure side, Journal du Net examined in June 2026 how sites built for human browsing create concrete obstacles for autonomous agents, from bot-blocking authentication to product data buried in images, and in a companion piece the same month argued that platform architecture, not interface quality, is becoming the decisive competitive advantage as retailers move toward API-first, headless systems. Forbes' May 2026 coverage of Google's Universal Cart illustrated the big-tech consolidation dimension directly, showing how a single AI-powered checkout layer spanning multiple retailers shifts bargaining power toward the platform and raises new questions about data ownership and brand visibility

Your website's next customer will be an artificial intelligence

What: Extreme heat is forcing retailers to rethink refrigeration, supply chains, merchandising, and channel strategies.

Why it is important: This shows that climate resilience is becoming a core retail capability, affecting infrastructure, inventory, supply chains, and channel planning.

The UK’s heatwave summer has exposed both opportunities and vulnerabilities for retailers as extreme weather becomes a more regular operating condition. Grocery sales benefited from barbecue demand and the football World Cup, while electrical retailers saw strong sales of fans and air-conditioning units, and fashion retailers gained from summer clothing demand. However, the heat also disrupted refrigeration, reduced high-street footfall, strained supply chains, and increased operating costs.

Major grocers including Waitrose, Sainsbury’s, Marks & Spencer, Morrisons, and Aldi are investing in heat-resistant refrigeration designed to withstand temperatures up to 45°C, aiming to reduce lost sales and food spoilage. Retailers are also reassessing seasonal ranges, as hotter summers change demand for home cooling, outdoor living, and lighter clothing.

Food supply is another concern, with drought affecting farmers and raising the risk of shortages in fresh produce. Meanwhile, online sales and climate-controlled destinations such as shopping centres and retail parks may gain as consumers avoid overheated high streets.

IADS Notes: The Retail Week article fits a broader pattern showing that weather volatility is becoming a strategic retail issue rather than a short-term trading anomaly. Retail Week reported in July 2026 that heatwave conditions pushed UK retail growth online, weakened high-street activity, and lifted demand for heat-related categories such as fans, air-conditioning units, and paddling pools. Retail Week also noted in July 2026 that hot weather and promotions supported UK sales across online, non-store, clothing, and food categories, while physical retail performance remained uneven. Bloomberg reported in June 2026 that extreme heat was creating operational and workforce risks for Indian suppliers to Uniqlo and Tesco, underlining the supply-chain dimension of climate disruption. India Economic Times reported in June 2026 that heatwaves and holidays drove a 15-20% sales surge for Indian mall retailers, showing how climate-controlled destinations can benefit from extreme weather. Retail Week’s February 2026 coverage of snow and heavy rain reducing UK footfall further confirms that retailers need more agile forecasting, merchandising, infrastructure, and channel strategies as weather disruption becomes more frequent.

What lessons can retail learn from 2026’s heatwave summer?

What: A BeautyMatter report commissioned by Messe Frankfurt argues the GCC is no longer a market beauty brands sell into but one they increasingly build inside and export from, led by Saudi Arabia and the UAE as two distinct growth engines.

Why it is important: For department stores and their brand partners, it reframes GCC expansion as a two-market strategy, Saudi scale and build-in-market depth versus UAE visibility and cross-border reach, where treating the region as a single bloc is the costliest mistake.

The GCC beauty and personal care market is forecast to grow from $14.3 billion in 2025 to $20.8 billion by 2030, outpacing Europe and North America even as a 2026 regional conflict introduces near-term headwinds. Saudi Arabia accounts for roughly 40% of GCC beauty spending and rewards brands that build local teams rather than fly in from Dubai, while the UAE offers trend incubation, international talent and cross-border connectivity. Premiumization leads growth in every market, with fragrance the signature category.

The region is shifting from consumption to origination. Arab-founded brands including Huda Beauty, Kayali, Lattafa, Amouage, Asteri and Moonglaze now compete globally and appear at Sephora, Ulta and Selfridges. Retailer entries validate the market: Ulta opened via Alshaya, and mega-mall build-outs such as Dubai Square continue.

Success depends on cultural fluency, not translation, spanning climate-adapted formulation, halal certification, undertone-intelligent shade ranges and campaigns like L'Oréal's "Sit Al Bait" rooted in regional insight.

IADS Notes: The report's central thesis, that the GCC is shifting from a market brands sell into toward one they build inside and increasingly export from, aligns with recent coverage. The characterisation of Saudi Arabia as a distinct, build-in-market opportunity separate from the UAE echoes Chalhoub Group's accelerated Saudi expansion through digital innovation, infrastructure and rapid e-commerce (WWD, October 2025), while the demographic and premiumization drivers the report cites were set out by Michael Chalhoub at the RLC Fashion Summit, where he described the Middle East as a global luxury growth engine powered by a youthful, affluent population and advised brands to move early and localise (RLC, October 2025). Ulta Beauty's UAE entry, highlighted in the report as proof of retailer commitment, drew strong footfall despite regional volatility, with Western formats adapted through localised assortments (Forbes, March 2026). The emergence of Arab brands on the international stage is visible in Selfridges' "Saudi: Sky's the Limit" showcase of more than 20 Saudi fashion, beauty and design brands (WWD, July 2026), and the K-beauty wave the report tracks in the Gulf extends to Sephora's global rollout of curated Olive Young brands from fall 2026 (BoF, January 2026).

GCC Middle East Beauty Market Report 2026

What: Physical stores create the most value when they solve customer problems that digital channels cannot address as effectively.

Why it is important: This research matters because it challenges channel-based retail thinking and shows why stores must be evaluated through enterprise-wide customer impact.

The article argues that physical stores are not disappearing, but their role is changing in a digital economy. Rather than serving only as transaction points, stores create value when they solve customer problems that online channels cannot address as effectively, such as product comparison, expert advice, immediate fulfilment and easier post-purchase support.

Research on an online-first, multi-brand electronics retailer found that three store openings reduced nearby online net revenue by 8% to 11%. However, two large, experience-centric stores more than offset this cannibalisation, increasing total net revenue by over 20%, while a smaller convenience-focused store produced no significant uplift. The difference lay not simply in assortment, but in what customers could do inside the store.

The article urges retailers to stop managing stores and e-commerce as separate channels. Physical locations should have a clear job, with space, inventory, technology and staff expertise concentrated where they improve customer decisions or solve urgent needs. Success should be measured through total customer value, not isolated store sales or online growth.

IADS Notes: The article’s argument that physical stores should be judged by total customer value rather than channel-level sales aligns with Harvard Business Review’s April 22, 2026 coverage of the physical store comeback, which showed how retailers are investing in experiential environments, digital integration and community-building. Retail Insight Network reported on July 7, 2026 that stores are increasingly becoming “third places” where customers seek advice, learn, socialise and build stronger brand relationships, reinforcing the article’s point that stores solve problems online channels cannot. The operational dimension is supported by Journal du Net’s April 7, 2026 analysis of connected in-store infrastructure and by LSA Conso’s March 17, 2026 report on Walmart’s use of stores as logistics hubs for rapid fulfilment. Finally, Ian Jindal’s May 22, 2026 framework for board-level retail KPIs echoes the article’s call for cross-functional metrics that connect customer, product, operations and capital value rather than protecting separate store and e-commerce P&Ls.

Research: what physical retail stores deliver in a digital economy

What: Female retail leaders are reaching top roles more often, but many are being appointed during periods of crisis and instability.

Why it is important: This pattern shows that retail’s progress on gender diversity must be matched by fair succession planning, adequate support and equal tolerance for failure.

The article argues that Australian retail is celebrating historic female leadership appointments while overlooking the difficult conditions many women inherit. Erica Berchtold’s appointment as the first female CEO of David Jones in its 188-year history is presented as both a milestone and a warning sign, because she takes over amid losses, new financing needs, online competition and an unfinished transformation program.

The article links her appointment to the “glass cliff”, a pattern in which women are more likely to be promoted into senior roles during periods of crisis. It cites Amanda Bardwell at Woolworths, Olivia Wirth at Myer and Leah Weckert at Coles as further examples of women taking charge during regulatory scrutiny, profit pressure or cost-of-living backlash.

The central argument is not that these leaders are unqualified, but that they often receive less time, support and goodwill than male predecessors. True progress, the article suggests, means appointing women during growth phases and giving them equal resources, patience and authority.

IADS Notes: The article’s argument that female retail leaders are often appointed during moments of crisis is reinforced by WWD’s June 22, 2026 report on Erica Berchtold’s appointment as CEO of David Jones, which coincided with a new three-year lending facility and the Inspire30 turnaround strategy. Broader sector data supports the same tension: Retail Week reported on February 3, 2026 that 2025 saw a record number of new female retail leaders, but progress remained uneven, while LEADNetwork reported on April 29, 2026 that women’s advancement in retail and CPG continues to be constrained by structural and cultural barriers. The crisis context is also clear in The New Daily’s April 29, 2026 coverage of David Jones and Myer, which linked their struggles to losses, store closures and digital disruption. Finally, The Robin Report’s April 21, 2026 analysis of retail leadership shows why these appointments require more than symbolic progress: successful turnarounds depend on strategic vision, operational discipline, ethical conduct and collaboration.

Retail’s female leaders are breaking ceilings – but inheriting crises

What: Retail media is becoming a major profit engine for retailers, but excessive in-store screens risk turning shopper engagement into advertising clutter.

Why it is important: This shift shows that retail media can strengthen margins only if retailers balance monetisation with shopper trust, relevance and measurable value for brands.

Retail media has become one of retail’s fastest-growing revenue opportunities, especially for grocers and mass retailers operating on thin margins. The article argues that retailers are rapidly turning stores into advertising platforms, installing screens at entrances, checkouts, deli counters and other high-traffic areas to monetise shopper attention.

Walmart illustrates the scale of the opportunity. Its Vizio acquisition gave it access to connected-TV data, while Walmart Connect and in-store screens allow the company to link viewing behaviour, purchase data and advertising spend. The article also points to Albertsons, CVS and Hy-Vee as examples of retailers expanding digital screen networks.

However, the author warns that more screens do not automatically improve the shopping experience. Screens placed in dwell zones can be useful, but those interrupting product selection risk becoming visual noise. The central concern is that retail media may become a “money grab” if retailers prioritise ad revenue over relevance, education and trust. Sustainable growth will depend on treating screens as useful shopper content before selling them as advertising inventory.

IADS Notes: The article’s warning that retail media risks becoming a “money grab” is supported by Internet Retailing’s June 3, 2026 analysis, which argued that retail media must move beyond ad activation into integrated media planning with stronger measurement, transparency and accountability. The commercial incentive is clear: McMillanDoolittle reported on April 20, 2026 that Walmart Connect is redefining commerce economics by turning first-party data and advertising into new profit streams, while Ad Exchanger reported on February 19, 2026 that Walmart’s ad revenue reached $6.4 billion in 2025 after 37% global growth. Inside Retail’s April 2, 2026 article also showed why retailers are embracing media networks as a buffer against inflation and margin pressure. However, Harvard Business Review’s October 24, 2025 coverage underlined the same risk raised in the article: without trust, transparency, ROI measurement and relevant execution, retail media’s rapid expansion could weaken credibility with both shoppers and brand partners.

Retail media: retail hype

What: The EU’s new rules on unsold fashion goods are forcing retailers to rethink inventory, circularity and discounting, while broader market shifts intensify pressure on luxury, value fashion and retail real estate.

Why it is important: The EU destruction ban turns circularity from a sustainability message into an operational requirement, forcing retailers to improve forecasting, inventory control and resale or recycling infrastructure.

European luxury and fashion retailers are facing a new wave of pressure from regulation, supply-chain scrutiny and shifting real estate dynamics. The EU’s ban on destroying unsold apparel, accessories and footwear, effective for large companies from July 2026, forces brands to prioritise discounting, alternative markets, donation, reuse and recycling instead of incineration or landfill. The rule is especially significant for luxury houses, which have historically relied on scarcity and controlled distribution to protect pricing and brand image. At the same time, Italian authorities are widening investigations into alleged labour exploitation in luxury supply chains, increasing pressure on brands to strengthen subcontractor oversight. Inditex’s launch of Lefties in the UK shows how value fashion is becoming more competitive, while Seven & i’s interest in Żabka highlights the strategic importance of convenience retail. Meanwhile, CBRE data shows retailers are still competing fiercely for prime European locations, making real estate quality a critical factor in expansion strategy.

IADS Notes: Europe’s luxury and fashion retailers are facing a convergence of regulatory, operational and real estate pressures that are reshaping inventory, sourcing and expansion strategies. Financial Times (July 2026) directly shows how the EU ban on destroying unsold clothing, footwear and accessories is forcing luxury groups to rethink inventory planning, discounting, resale, repair and recycling. Kearney/Fashion Network (July 2025) and Inside Retail (January 2026) provide circularity context, showing that repair, resale and recycling are growing but still require scalable infrastructure, policy support and operational discipline. Ecommerce Europe (January 2026) places the ban within a wider EU regulatory agenda around environmental reporting, due diligence, product liability, textile waste and traceability. Inside Retail (October 2025) and Inside Retail (October 2025) show how Italy and France are pushing back against low-cost fast fashion imports and Shein’s physical expansion, linking sustainability, labour concerns, unfair competition and reputational risk. Fashion Network/News collection (October 2024), The Economist (January 2026), BHV/Les Echos (February 2026) and Croatia Week (January 2026) show that European retail real estate is also under pressure, with prime locations still highly contested while weaker department stores downsize, renegotiate rents or close. The Spin Off (October 2025), WWD (May 2026) and Vestiaire Collective/Zalando coverage show that multibrand expansion, resale partnerships and circular platforms are becoming key responses. Together, these sources show that European retailers must now manage sustainability regulation, supply-chain scrutiny, inventory discipline, circular infrastructure and location strategy as interconnected parts of competitiveness.

The EU regulation on unsold inventory is now enforced

What: CISOs report that AI is simultaneously expanding the cyberattack surface and powering new defense capabilities, while most organizations still lack mature AI-specific security controls.

Why it is important: With 89% of organizations already reporting AI-enabled attacks and most having adopted only minimal AI-specific controls, retailers face a widening gap between AI-driven risk and their own readiness to manage it.

BCG and GLG's latest CISO survey (N=302) finds cybersecurity spending continuing to outpace projections, with a 12% increase expected in 2026 after an actual 8% increase in 2025. Cloud and data security categories are seeing the steepest planned increases, alongside managed security services and threat intelligence.

AI adoption is the dominant driver: 49% of CISOs expect AI to increase spend in the near term before growth normalizes, and 15% expect sustained acceleration. AI is reshaping the threat landscape on three fronts simultaneously — it is expanding the attack surface for builders, arming attackers with faster and more scalable tools, and powering new defensive capabilities. Nearly nine in ten organizations report experiencing AI-enabled attacks, over a third with significant operational or financial impact, while the average organization logs 25 incidents a year of sensitive data leaking to GenAI tools.

Despite this, adoption of AI-specific security controls remains low. Only 18 of 70 surveyed practitioners report high control adoption (seven or more active measures), though that group shows markedly better outcomes in mitigating AI-driven threats than low-adoption peers.

IADS Notes:  The trend the BCG survey documents — AI simultaneously expanding retail's attack surface and reshaping how it defends itself — sits alongside a body of recent coverage on the same dynamic. AI-enabled hacking is already moving from sandboxed test escapes to state-linked actors weaponizing models for data theft, a shift Bloomberg reported on in August 2026, which also traced the operational cost retailers have already absorbed through the Marks & Spencer and Co-op incidents. The governance gap this creates is a recurring theme: an August 2026 piece from RH-ISAC warned that autonomous AI agents now execute refunds, loyalty adjustments, and access changes without the ownership and auditability traditional security models require. Retail's structural exposure predates the AI-specific risk, though — Retail Insight Network's analysis from July 2026 attributes the sector's attractiveness to attackers to its combination of valuable customer data and interconnected omnichannel systems, naming AI-enabled attacks alongside ransomware and loyalty fraud as a growing vector. The financial stakes of getting this wrong are concrete: Inside Retail's coverage from August 2026 showed Coupang swinging to a quarterly loss after a roughly $410 million penalty tied to a breach affecting more than 33 million customer records.

Cybersecurity budgets are growing fast, AI threats are growing faster

What: CIOs need stronger AI cost governance as enterprise adoption shifts from isolated pilots to large-scale, usage-based deployment.

Why it is important: This shift matters because retailers scaling AI face the same pressure to connect usage, governance, and investment discipline to measurable business outcomes.

McKinsey argues that enterprise AI spending is becoming harder to control as companies move from isolated pilots to broad deployment. AI costs can rise faster than traditional technology budgets because usage is fragmented across business units, vendors, software platforms, and employee-built workflows. According to McKinsey’s May 2026 Enterprise AI FinOps survey, AI spend increases nearly fourfold as organisations scale adoption, while 93 percent of respondents report exceeding their AI budgets. A majority also expect AI spending to rise by at least 25 percent over the next 12 months. The article identifies several causes: unpredictable token usage, consumption-based pricing, immature governance, unclear model-selection rules, and citizen developers creating AI workflows outside central IT. McKinsey recommends treating AI cost management as “enterprise AI tokenomics,” or FinOps for AI. CIOs should build visibility into spend, track token consumption, allocate costs to business outcomes, forecast demand, and optimise usage through measures such as model routing, prompt caching, and stronger governance. Thoughtful AI consumption can reduce costs by 20–30 percent while redirecting investment toward higher-value use cases.

IADS Notes: AI cost management is becoming a strategic retail issue because the sector is moving from scattered experimentation to enterprise-wide deployment without always having the governance, operating models, or financial discipline needed to control usage. In July 2026, ERE Media warned that current AI pricing may be artificially low, making automation and workforce decisions vulnerable to future cost increases. WWD in July 2026 similarly showed that retailers are increasing AI investment but still struggling to convert automation into measurable returns without workflow redesign, data quality, and human-machine collaboration. BCG in June 2026 reinforced that the winners in retail and CPG are those linking AI use cases to financial outcomes, while its February 2026 analysis argued that AI requires a broader redesign of business models, workforce structures, and investment priorities. Forbes in October 2025 added that AI agents are already reshaping pricing, planning, and store operations, making governance, training, and clear boundaries essential as autonomous systems move deeper into retail operations.

The cost of intelligence: How CIOs can manage AI demand at scale

What: The Iconic, Myer and David Jones are challenging supermarket dominance in Australian retail media with data-led advertising platforms.

Why it is important: Fashion retailers’ move into retail media reflects a broader industry push to monetise customer attention while protecting the shopping experience from ad overload.

Australian retail media is expanding beyond supermarkets as fashion retailers and department stores build advertising businesses around customer data, digital traffic and shopping intent. The Iconic has launched Iconic Media, combining advertising, customer insights and creative services under one platform led by Joshua Nunan. The aim is to help brand partners run faster, more targeted campaigns while turning The Iconic’s audience and data into a connected growth engine. Supermarkets still hold a strong advantage because of frequent transactions, loyalty programmes and large store networks. Woolworths’ Cartology and Coles 360 continue to post double-digit revenue growth, supported by extensive customer datasets. However, fashion retailers argue they can offer a more expressive view of consumers, including style preferences, brand affinities, spending habits and aspirational interests. David Jones and Myer are also investing in retail media, using rewards data, store visits and digital audiences to attract advertisers. The challenge will be proving that fashion’s less frequent but more discovery-led shopping journey can deliver scale, trust and measurable value.

IADS Notes: The Iconic’s launch of Iconic Media reflects the broader maturation of retail media from a supermarket-led advantage into a wider retail business model. MBS reported in July 2025 that retail media had evolved from an e-commerce add-on into a strategic revenue stream, driven by first-party data and measurable links between advertising and purchase. Harvard Business Review noted in October 2025 that the sector’s rapid expansion also brings challenges around trust, transparency, ROI measurement and network fragmentation. Internet Retailing reported in December 2025 that retail media was shifting from aggregation to curation, with quality inventory and transparent supply paths becoming more important than ad volume. Inside Retail argued in April 2026 that retail media can help retailers diversify revenue and protect margins during economic pressure. Retail Times showed in June 2026 how John Lewis is strengthening its own retail media offer through first-party data, self-service tools and measurement that connects online advertising with in-store purchases. This context supports the article’s argument that fashion and department stores can compete only if they offer distinctive audiences, dependable data and advertising experiences that protect customer trust.

Can fashion compete with supermarkets in the rush to retail media?

What: Retailers with clear identities create stronger store experiences by translating brand purpose into coherent merchandising, fixtures, materials and customer interactions.

Why it is important: Brand clarity helps retailers turn stores into meaningful brand extensions rather than generic product containers, strengthening loyalty and emotional connection.

Brand clarity is essential in physical retail because customers quickly sense whether a store knows what it stands for. A coherent identity should appear across product mix, signage, fixtures, materials, associate behaviour and the sequence of the shopping journey. When these elements are aligned, the store becomes a brand extension rather than a generic container for merchandise. The article contrasts strong and weak execution: Old Navy’s front-of-store presentation clearly communicated a seasonal family message, but the experience lost discipline deeper inside the store, while Gap’s Hailey Jean launch showed how a strong campaign can falter when replenishment and floor execution fail. By contrast, Sea Bags, Faherty and Anthropologie demonstrate that scalable store formats do not require uniformity or large budgets, but they do require narrative discipline and visual consistency. Their stores translate sourcing, lifestyle or boho identity into tangible environments that build trust, reduce friction and encourage customers to stay.

IADS Notes: The argument for brand clarity in physical retail aligns with a wider industry focus on coherent identity, store execution and customer experience. The Robin Report (February 2026) directly warns that retailers can erode the in-store experience when new strategies are layered onto legacy formats without redesigning space, operations and service around them. The Economist (March 2026), The Robin Report (December 2025), WWD (July 2026) and BoF (January 2026) show how Gap’s turnaround depends on restoring brand storytelling, cultural relevance, product discipline, employee advocacy and entertainment-led engagement while avoiding inconsistent execution. John Ryan Newstores (December 2025) and Retail Insight Network (July 2026) place this within the broader revival of physical stores as design-led, experiential and human-centred environments. WWD (January 2026) shows how Britain’s marquee retailers are using refreshed spaces, art, culture and immersive formats to strengthen identity, while BoF (June 2026) demonstrates how Boyner Group’s Communité builds differentiation through curation, hospitality, local relevance and community. Bloomingdale’s transformation, documented by WWD (March–April 2026), and Printemps New York’s customer-experience model, reported by Ecommerce Mag (January 2026), further show how store design, curated assortments, staff training and hospitality can make a brand’s point of view tangible. BoF (December 2025) reinforces the broader lesson: multibrand and specialty retailers need stronger identity, service and emotional connection to remain relevant. Together, these sources show that physical stores succeed when every element—product, fixtures, service, signage, storytelling and operations—communicates a clear and consistent brand purpose.

Why brand clarity matters 

What: AI adoption is accelerating, but most organisations lack the leadership and workforce readiness needed to manage AI-enabled work.

Why it is important: This highlights the risk that companies may deploy AI faster than their people, managers and operating models can adapt.

HR Dive reports that AI adoption is no longer the central workplace challenge; the bigger issue is whether leaders and employees are ready to adapt. A ManpowerGroup Talent Solutions study found that only 17% of organisations describe their workforce readiness as “advanced” or “transformational,” meaning AI capabilities are deeply embedded into workflows. Leadership readiness is even weaker. Among 80 C-suite, CHRO and senior talent acquisition leaders surveyed, only 3% said their leaders are highly prepared to guide AI adoption at work. The findings suggest that many organisations are introducing AI faster than they are redesigning work, building skills or preparing managers to lead AI-enabled teams. The article frames the next phase of workplace AI as one of adaptation rather than adoption. As AI becomes embedded in talent processes and workforce systems, success will depend on reorganising work, not simply deploying technology.
Gallup research cited in the article adds that AI adoption is rising while employee engagement remains flat, reinforcing that technology alone does not improve workforce outcomes. Learning and development are presented as key to readiness and engagement.

IADS Notes: AI adoption is increasingly exposing a leadership and workforce readiness gap, with companies discovering that deployment alone does not create transformation. In September 2025, BCG found that AI was reshaping retail workforce structures while only a minority of workers felt prepared for AI-driven change. BCG’s November 2025 work on how CEOs must change work reinforced that leaders need to redesign roles, workflows and collaboration rather than simply introduce new tools. Its March 2026 report on CHRO priorities similarly showed that HR leaders must lead skills-based talent management, digital transformation and workforce development. BCG’s June 2026 research on AI at work stressed that strategy, governance, leadership engagement and human oversight matter more than tools, while Seramount’s June 2026 analysis of psychological safety showed that employees need clear communication, support and safe learning environments to adopt AI effectively.

Leadership readiness lags behind AI adoption rate

What: A KPMG and University of Texas study shows that AI performance depends less on AI fluency than on human judgment inside AI workflows.

Why it is important: Human judgment, workflow design and process-based assessment are becoming decisive factors in whether AI improves performance.

A Harvard Business Review article based on a KPMG and University of Texas field study finds that early-career employees create value with AI not through AI fluency alone, but through how they direct, evaluate and refine AI output. The study involved 523 U.S.-based KPMG professionals using an AI agent on business-specific tasks benchmarked against an AI-only baseline.
The research identified three profiles. AI amplifiers, representing 50.1% of participants, outperformed the AI baseline by framing problems clearly, applying domain frameworks, challenging assumptions and refining results. AI delegators, at 25.8%, produced work comparable to AI alone by accepting outputs with limited scrutiny. AI apprentices, at 24.1%, performed below the baseline despite strong foundational skills, because their critiques often failed to improve the work. The findings suggest that domain knowledge, critical thinking and AI literacy are necessary but insufficient. Organisations should redesign early-career development around task-based training, visible judgment and workflow-based assessment, evaluating how employees interact with AI rather than only the final deliverable.

IADS Notes: The KPMG and University of Texas study sharpens a growing workforce lesson: AI fluency only creates value when employees know how to direct, challenge and improve machine output. In June 2026, BCG argued that AI upskilling must be embedded in real workflows to translate capability into performance, with judgment, collaboration and problem-solving treated as core skills. Another BCG analysis in June 2026 warned that widespread AI use can erode critical capabilities such as judgment and problem framing if organisations do not design deliberate practice into work. Harvard Business Review’s March 2026 work on expertise similarly showed that generative AI does not make employees experts without training and repeated application, while its March 2026 analysis of entry-level jobs warned that automating junior work can weaken the experiences through which future leaders develop. Seramount’s June 2026 framework reinforced the same boundary: AI can automate and augment many tasks, but decisions involving people, ethics, capability building and accountability still require human judgment.

Why some junior employees work well with AI—and others don’t

Shaping early-career success in the age of AI - KPMG study

What: BCG’s procurement study shows that agentic AI delivers stronger results when companies combine deployment with governance, capability building and process redesign.

Why it is important: This matters because agentic AI can improve procurement performance only when organisations redesign workflows, strengthen data foundations and build trust in autonomous decision-making.

BCG’s 2026 tech procurement study finds that most enterprises are already piloting or deploying agentic AI, shifting the question from whether to use the technology to how procurement organisations should adapt around it. Based on a survey of more than 200 CIOs, procurement leaders and technology buyers, the research shows that internal operational benefits usually appear before supplier-facing commercial gains. Agentic AI is already improving speed, throughput, manual effort and process discipline, but stronger negotiation outcomes, reduced vendor lock-in and better supplier performance require broader organisational change. Production deployments outperform pilots because value emerges when companies connect workflows and redesign the operating model, rather than testing isolated use cases. BCG identifies four main barriers to scale: inconsistent data, legacy-system integration, unchanged processes and governance constraints. Trust in autonomous decision-making is the biggest organisational barrier, cited by 71% of respondents, followed by security and IP risks at 66%. Procurement leaders should redesign processes first, build capabilities alongside technology, measure both operational and commercial outcomes, strengthen data foundations and redefine procurement around market intelligence and commercial judgment.

IADS Notes: Recent industry analysis shows that agentic AI in procurement is moving from experimentation toward organisational redesign. In June 2026, Journal du Net warned that procurement AI becomes risky without governance, high-quality data, human oversight and clear accountability. BCG’s September 2025 work on supplier negotiations showed that GenAI can improve cost analysis, risk reduction and negotiation support, but only when integrated across end-to-end operations. McKinsey’s January 2026 analysis of AI agents and ERP systems reinforced that value depends on connecting agents to core business processes rather than leaving them isolated from operational systems. BCG’s July 2026 work on decision agents similarly stressed the need for governance, cross-functional data layers and structural investment, while BCG’s June 2026 research on agentic AI as a transformation engine showed that teams capture value when they redesign how they operate around the technology.

Scaling agentic AI in procurement is an organisational challenge

What: Rising AI compute costs are forcing companies to manage tokens, contracts and infrastructure exposure as strategic financial risks.

Why it is important: This matters because AI adoption is becoming a financial discipline, requiring companies to measure usage, manage volatility and link spending to business outcomes.

BCG argues that the economics of enterprise AI are shifting as providers move away from flat-rate subscriptions toward metered pricing and, potentially, dynamic pricing. This exposes companies to the real cost of AI compute, especially as usage scales across customer-facing tools, internal workflows and large model workloads. The AI compute market is expanding rapidly, with BCG projecting growth from $360 billion in 2025 to roughly $2.3 trillion in 2030. Yet the market remains opaque, heterogeneous and difficult to manage. Prices vary by hardware generation, geography, timing and contract structure, while many large transactions are negotiated privately. BCG expects greater transparency, benchmarks, futures contracts and secondary markets to emerge, helping companies manage price and supply risk. The firm estimates that a more liquid AI compute market could unlock up to $140 billion in annual “dark value” through trading, price optimisation and lower borrowing costs for data center players. For end users, AI labs and infrastructure providers, the message is clear: AI compute must be managed like a strategic commodity, with disciplined workload planning, hedging, contract scrutiny and provider selection.

IADS Notes: As AI adoption expands, the economics of compute are becoming a strategic issue for companies that rely on large-scale automation, analytics and customer-facing AI. In July 2026, analysis of below-cost AI pricing warned that current assumptions may not hold as providers seek to recover infrastructure costs, making cost discipline essential for companies building workflows around AI. BCG’s July 2026 work on the true cost of AI similarly argued that token consumption must be measured by workflow and outcome, not treated as a generic software expense. WWD’s July 2026 analysis of retail AI spending showed that investment is rising while returns remain uneven, especially where companies have not redesigned workflows, governance and decision-making. BCG’s June 2026 research on AI in retail and CPG reinforced that winners are those linking use cases to measurable financial outcomes, while Retail Touchpoints’ January 2026 coverage of smaller, domain-specific models showed how better model selection can improve efficiency and reduce waste.

Is AI computing power becoming a commodity?

What: BCG’s CEO survey shows that companies are seeing early AI gains but struggling to scale them into enterprise-wide financial impact.

Why it is important: This highlights a widening competitive gap between companies that embed AI into core business processes and those still relying on disconnected pilots.

BCG’s latest CEO survey finds that AI is beginning to deliver measurable value, but most companies are still struggling to turn targeted gains into enterprise-wide financial impact. Nearly nine in ten CEOs report cost or revenue benefits from AI in targeted areas, yet the main barrier to scale is execution rather than technology. The report identifies a significant gap between ambition and discipline. More than half of CEOs say AI initiatives need a clearer link to the P&L, but only 14% have defined financial impact for all AI projects. People and workflow redesign are also underdeveloped: 55% cite people redesign as a barrier, while only 30% include HR in AI governance. BCG argues that high performers distinguish themselves by making the CEO the orchestrator, holding business leaders accountable, focusing AI investment on a few high-value areas, tracking value from the start and prioritising change management. These companies are roughly seven times more likely to redesign workflows and reshape the business end-to-end with AI.

IADS Notes: Recent industry analysis shows that BCG’s CEO findings are especially relevant because companies are already confronting the same execution gap between AI experimentation and measurable business impact. In June 2026, research on AI in retail and CPG found that companies are improving margins, decision-making, and customer engagement with AI, but only a minority are scaling it effectively, as success depends on use-case discipline, data quality, governance, and operating-model redesign. WWD’s July 2026 analysis similarly found that AI spending is rising while returns remain uneven, with value concentrated in companies redesigning workflows across planning, sourcing, supply chain and wholesale processes. BCG’s April 2026 work on always-on merchandising showed how AI agents can compress decisions from weeks to hours, but only when data foundations and end-to-end ownership are rebuilt. Bain’s December 2025 survey reinforced the same shift from pilots to production, while BCG’s June 2026 research stressed that strategy, accountability and workforce readiness matter more than tools.

CEOs are starting to see value from AI. Now comes execution.How CEOs scale AI value

What: Workplace design and HR strategy are shifting toward neurodiversity, recognising that employees need different environments to do the same work effectively.

Why it is important: This shows that cognitive diversity is becoming a future-of-work priority as AI increases the value of human skills, adaptability and different ways of thinking.

HR Dive reports that workplace design is beginning to account for neurodiversity, drawing on a JLL report that challenges traditional models built around standardisation, predictability and “common ways of working.” JLL argues that the future workplace should support different cognitive preferences, because the same task may require different environments depending on the individual. The article notes that 15% to 20% of the global population is neurodivergent, which can represent thousands of employees in large organisations. Yet many neurodivergent workers remain silent about their status, creating a challenge for HR teams seeking to build more inclusive workplaces. JLL’s Dima Najib-Costa argues that there has never been an “average” mind. One employee may prepare for a presentation best in an energetic, collaborative setting, while another may need quiet and minimal distraction. HR therefore has a role in building empathy, awareness and practical support. The article also cites Eagle Hill Consulting, which found that many workers lack familiarity with neurodiversity, while more than half see value in sensitivity training.

IADS Notes: Recent industry analysis shows that neurodiversity is becoming part of a broader shift toward cognitive diversity, inclusive design and human-centred workforce strategy. In November 2025, The Wall Street Journal argued that diversity of thought is increasingly important for innovation and performance, reinforcing the article’s point that there is no single “average” way of thinking. Seramount’s February 2026 work on AI and inclusion showed that workplace technology strategies need fairness, trust, transparent communication and equitable access to training. Forbes’ July 2025 coverage of disability-inclusive customer service similarly showed that inclusion cannot be one-size-fits-all, especially in environments where employees and customers have different access needs. BCG’s September 2025 research on AI and workforce strategy highlighted the need for adaptability, collaboration and systematic upskilling, while Harvard Business Review’s September 2025 work on soft skills reinforced the growing value of empathy, communication and human judgment.

The ‘average’ mind doesn’t exist: How work experts are thinking about neurodiversity

What: CompTIA’s research shows that widespread personal AI use is not translating into workplace-ready AI skills.

Why it is important: Organisations need structured AI training, workflow guidance and CIO–HR collaboration to turn experimentation into measurable business value.

CompTIA, a global provider of vendor-neutral IT training and certifications, finds a persistent gap between AI adoption and workforce readiness in its inaugural AI Skills Tracker. Although more than 80% of surveyed business and technology professionals use AI tools several times per month, only 29% say they have a high level of familiarity with the technology. More than half report that business-related activities account for 20% or less of their overall AI use.
The findings suggest that personal experimentation is not enough to prepare employees for enterprise AI adoption. Many workers are learning informally through general social tools, disconnected from corporate policies, training priorities and skill validation. CompTIA warns that companies assuming employees will arrive with workplace-ready AI knowledge are likely to fail. The article argues that leaders must help employees understand how AI changes workflows, not just how to use tools for repetitive tasks. Because AI is probabilistic rather than deterministic, workers must learn to validate outputs for relevance and correctness. CIOs and HR leaders should coordinate learning programmes, practical use cases and workforce development to turn AI experimentation into measurable business value.

IADS Notes: CompTIA’s findings add another layer to the workforce readiness problem: frequent personal AI use does not automatically translate into business-ready capability. In September 2025, BCG found that AI was reshaping retail workforce structures while only a minority of workers felt prepared for AI-driven change. BCG’s June 2026 work on turning AI skills into performance similarly showed that upskilling creates value only when learning is embedded in real workflows and linked to measurable outcomes. Another BCG analysis in June 2026 stressed that strategy, governance, leadership engagement and human oversight matter more than tools, while HR Dive’s July 2026 coverage of leadership readiness showed that organisations are deploying AI faster than leaders, employees and operating models can adapt. Seramount’s June 2026 work on psychological safety reinforced that employees need clear communication, support and safe environments to experiment with AI effectively.

AI skills gap persists despite widening personal use

CompTIA AI Skills Tracker - research report

What: Consumers are more willing to trust AI customer service when they have a clear path to a live human agent.

Why it is important: This shows that trust in AI customer service depends less on automation alone and more on disclosure, safeguards and escalation options.

A Five9 study finds that consumers are more open to AI-powered customer service when they know they can reach a live representative. Four in five consumers say they are willing to use AI service tools if a clear path to a human agent is available, while 55% trust AI in that context, compared with about one-quarter when no human option exists. The research also shows the commercial risk of removing human support. Some 41% of customers say they are less likely to use a company that relies on AI for customer service, rising to 53% when there is no option to reach a person. Consumers see AI’s value mainly in speed, convenience and 24/7 availability, but remain cautious about accuracy and autonomy. More than half believe AI can look up order or account status accurately, yet only just over one-third think it should do so without human help. The article argues that disclosure, opt-outs and easy escalation are essential to trusted AI experiences across chatbots, personalisation, review summaries and other customer-facing tools.

IADS Notes: Recent industry analysis shows that trust in AI customer service depends on combining automation with transparency, human oversight and clear escalation paths. In July 2026, Journal du Net argued that customer engagement succeeds when AI supports employees rather than replacing them, with people handling sensitive situations, exceptions and moments requiring trust. Harvard Business Review’s July 2026 work on responsible AI similarly framed trust as a strategic asset, warning that poorly governed service tools and personalisation systems can damage customer well-being and brand value. The Robin Report’s April 2026 coverage of Woolworths’ chatbot failure illustrated how unreliable AI can quickly undermine confidence, while Valtech’s February 2026 research on conversational commerce showed that consumers increasingly expect official, secure and trustworthy AI agents. Tech Policy’s January 2026 analysis reinforced the disclosure point, arguing that clear language about AI systems helps prevent distorted expectations and supports consumer confidence.

A clear path to a live agent grows trust in AI customer service

What: Clear privacy communication is becoming a loyalty driver as consumers expect brands to explain how their data is protected and used.

Why it is important: This highlights the risk that opaque data practices can weaken loyalty, trigger disengagement and expose brands to reputational damage.

A Sogolytics survey shows that customer loyalty is becoming more polarized, with both very loyal and somewhat disloyal shoppers increasing in Q2 2026. The share of “somewhat loyal” consumers fell from 43% in the first quarter to 32% in the second, suggesting that middle-ground loyalty is weakening. The research points to data governance as a major lever for rebuilding trust. Two in five customers say protecting customer data should be companies’ top CX priority over the next decade, ahead of reducing consumer costs. Just under half trust companies to protect their personal information, while two-thirds say they would stop doing business with a company that sold their data without consent. The article argues that transparency must be clear, contextual and integrated into the customer journey. Two-thirds of consumers want companies to be more transparent about personal data use, and 62% say they are more loyal to brands that clearly explain privacy practices. “Just-in-time” explanations can make data requests feel useful rather than intrusive.

IADS Notes: Data transparency is increasingly becoming part of the loyalty equation, especially as consumers expect brands to explain not only what information they collect, but why it improves the experience. In May 2026, Harvard Business Review found that stronger privacy rules can increase consumers’ willingness to share data when brands communicate clearly and use information responsibly. Journal du Net’s November 2025 work on omnichannel loyalty similarly showed that coherent, transparent customer journeys are essential to rebuilding retention. Inside Retail’s July 2026 analysis of silent brand abandonment reinforced the risk of trust erosion, showing that consumers may disengage without leaving visible complaints. The Diplomat’s March 2026 coverage of Coupang’s data breach highlighted how weak data governance can damage reputation and trigger executive accountability, while the Financial Times’ May 2026 reporting on surveillance pricing showed that opaque personal-data practices can provoke backlash and regulatory scrutiny.

Data transparency is a tool to win back customer loyalty