Adoption Is Tearing Companies Apart: WRITER's 2026 Enterprise AI Survey Lands
WRITER's 2026 Enterprise AI survey finds 54% of executives say AI is tearing their companies apart, with strategy gaps and culture as the real culprits.
Seventy-five percent of executives admit their AI strategy is “more for show” than actual guidance. That line stopped me cold.
WRITER’s 2026 Enterprise AI Adoption Survey, conducted with Workplace Intelligence, has just landed. And while the headlines will likely focus on the dramatic finding that 54% of C-suite executives say adopting AI is “tearing their company apart”, the strategy admission is the one that should keep leaders awake tonight.
Because here is what it reveals: the problem is not that organisations have failed to adopt AI. They have adopted it enthusiastically. Nearly all executives (97%) deployed AI agents in the past year. More than half of employees are already using them. Seventy percent of employees and 94% of the C-suite spend at least 30 minutes daily with AI tools. The technology is in the building.
And yet 79% of organisations face challenges in making it work. Only 29% report significant ROI from generative AI. Fifty-nine percent are investing over a million dollars annually, but the returns are not following the spend.
This is not a capability gap. It is a strategy and culture gap. Most organisations bought the tools. They are now sitting with the consequences.
The two-tier workforce is already here
The survey points to something I have been seeing in my own work with organisations: a widening divide between people who have integrated AI into how they think and work, and people who are technically using AI but not actually changing anything about how they operate.
The productivity differential between these groups is not marginal. The survey references individual productivity gains of 5X among effective AI users. Five times. That is not an incremental improvement. That is a structural advantage.
And executives know it. According to the survey, 92% of the C-suite are actively cultivating “AI elite” employees, while 60% plan layoffs for non-adopters. Let that sit for a moment. The sorting is already happening. The question for every Head of L&D, every CDO, every leader responsible for people development is simple: which tier are your people in, and what is the plan to move them?
Because if the plan is “give them access to the tools and hope for the best,” the survey suggests that is not working.
Strategy as performance
The admission that most AI strategies are performative rather than operational is uncomfortable but not surprising. I have sat in too many rooms where the AI strategy was a slide deck built to impress the board, not a roadmap designed to guide decisions.
A strategy that does not tell people what to do differently tomorrow is not a strategy. It is a press release.
And the cost of that gap is now visible. When 54% of executives say AI adoption is tearing their company apart, they are not talking about the technology. They are talking about the human systems around it: the confusion over who is responsible for what, the anxiety about job security, the inconsistency in how different teams are using tools, the governance vacuum that leads 67% of executives to believe their company has already suffered a data breach from unapproved AI use.
This is what happens when adoption outpaces intent. When organisations deploy powerful tools without doing the slower, harder work of aligning people around purpose, process and permission.
What actually helps
If you are reading this as someone responsible for AI adoption in your organisation, here is what I would be asking:
Do your people understand why they are using AI, or just how? Intent matters more than access. Someone who knows what they are trying to achieve will figure out the tool. Someone with tool access but no clarity will either ignore it or use it badly.
Is your AI strategy operational or ornamental? Can a team lead pick it up and know what decisions to make this week? If not, it is not guiding behaviour.
What is your plan for the people in the second tier? Not everyone will become a super-user. But if 60% of your leadership is planning layoffs for non-adopters, you had better be certain you gave those people a genuine path to capability first. Otherwise, you are not managing a transition. You are managing an exit.
And finally: who owns the cultural shift? AI adoption is not an IT project. It is a change management challenge. If no one is accountable for how people feel, how teams are restructuring, how anxiety is being addressed, the “tearing apart” will continue.
The survey is clear. The tools are deployed. The question now is whether organisations can build the human systems to make them work. That is not a technology problem. It is a leadership one.