The numbers behind the question
Deloitte’s 2026 Global Human Capital Trends research with 100 C-suite leaders found that most organizations, 59%, are taking a tech-focused approach to AI. Meanwhile, a July 2026 Gartner survey of 297 CHROs, released October 6, 2026 and summarized by Braintrust Growth, found 67% report increased expectations for employee productivity and only 24% of leadership teams are aligned on who is accountable for AI agents.
Put those together and a pattern appears: technology is moving, expectations on people are rising, and ownership of the outcomes is unclear.
Why this is a culture question
Tools change work, but systems decide who benefits. Which teams get access to new tools and training first? Whose roles are redesigned, and who is consulted? Who is expected to absorb the productivity increase? Each answer is a leadership decision that shapes people’s experiences and opportunities at work.
This is where the systems view that runs through Celeste Warren’s work becomes practical. The same policies, practices, access to opportunity, and unwritten norms that shape culture will shape how AI lands inside an organization.
Applying Accountability and Access
Two elements of the Equity in Action Model are especially useful here. Accountability asks leaders to look beyond intentions and pay attention to outcomes: name an owner, and decide which outcomes for people you will watch. Access asks who has access to information, opportunities, relationships, and resources, which applies directly to AI tools, training, and the new roles they create.
For senior executives, a practical first step is to put AI accountability on the leadership team agenda as a people decision, not only a technology roadmap item.
Written for The Equity Leadership Brief. Continue with the Equity Leadership Brief hub or the organizational culture consulting guide.