What: The uneven absorption of AI across organisations highlights persistent gaps between technological investment and organisational readiness.

Why it is important: Persistent gaps between investment and readiness signal that technological change alone is insufficient without cultural and managerial adaptation.

The article examines why organisations are struggling to translate rapid AI adoption into measurable productivity gains, despite soaring global investment and mounting pressure to demonstrate progress. While AI can accelerate individual tasks, the anticipated return on investment remains elusive because organisations often overlook the need to redesign workflows and human systems. The author argues that the real challenge lies not in AI itself, but in the way organisations absorb and integrate it—particularly when it comes to developing leadership pipelines, equipping managers, and maintaining trust. Automation risks eroding early-career learning opportunities, which are crucial for building future leaders, while uneven managerial support and fragile trust further complicate successful transformation. Employees’ scepticism and inconsistent guidance from managers can stall adoption and create execution risks. The article calls for a more deliberate approach, emphasising the importance of governance, clear decision rights, and intentional sequencing of AI initiatives. Ultimately, the piece argues that sustainable value from AI will emerge only when organisations balance technological innovation with robust human judgment and cultural adaptation. 

IADS Notes: The article’s analysis aligns with findings from The Economist (Feb 2026), which reported that most organisations struggle to achieve productivity gains from AI despite significant investment. Harvard Business Review (Mar and Apr 2026) highlights how automation threatens early-career talent development and exposes misalignment between executives and managers, slowing AI’s value realisation. ESG Dive (Dec 2025) documents employee concerns about trust and transparency, while Forbes (Oct 2025) emphasises the necessity of robust governance and workflow redesign to unlock AI’s full potential.

AI isn’t failing. Your organisation is absorbing it wrong.