How boards and CEOs can build a shared AI vision
What: Shared AI fluency between boards and CEOs is becoming essential for governing transformation, scaling investment, and avoiding ineffective pilots.
Why it is important: This matters for retail leaders because scaling AI beyond pilots requires board-level oversight, executive discipline, and a shared focus on measurable business impact.
Boards and CEOs broadly agree that AI must be deployed with urgency, but they often diverge on the speed, scale, and measurable impact it can realistically deliver. BCG argues that misdirected investment can push companies toward the wrong priorities, unscalable pilots, wasted time, and a lack of measurable competitive advantage. The article sets out three practical moves for boards. First, they should build AI literacy through hands-on learning with CEOs and executive teams, gaining a shared view of how quickly the technology is advancing and how much behavioural change it requires. Second, directors should look beyond presentations by observing frontline deployments and asking management for candid assessments of capabilities, AI risks, cybersecurity gaps, and competitive positioning. Third, boards should learn from practitioners across industries, broadening their perspective beyond hyperscalers, technology commentators, and entrepreneurs. The central message is that informed alignment allows boards to support CEOs, challenge assumptions, and govern AI transformation with greater confidence as the stakes rise.
IADS Notes: The article’s call for tighter board–CEO alignment around AI strongly reflects the retail sector’s current challenge: moving from experimentation to measurable, governed transformation. In June 2026, BCG showed that retail and CPG winners are pulling ahead by connecting AI use cases to financial impact, stronger data foundations, redesigned operating models, upskilling, and governance, which directly echoes the article’s warning against unscalable pilots. Another BCG analysis in June 2026 stressed that strategy and accountability matter more than tools, reinforcing the need for boards and CEOs to share a practical understanding of how AI changes work. In April 2026, Harvard Business Review highlighted how AI is reshaping cyber risk and requiring stronger board oversight, real-time monitoring, and staff training. Bain & Company’s December 2025 survey similarly found that production-scale AI depends on leadership, workflow redesign, and workforce adaptation. BCG’s September 2025 workforce analysis adds that retailers must build AI literacy and human-machine balance if transformation is to create a lasting competitive advantage.
