Artificial Intelligence & Machine Learning
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Next-Generation Technologies & Secure Development
CIOs Say Stalled Pilots, Vendor Regret and Growing Fatigue Stifle AI Ambition
These may be the halcyon days for enterprise artificial intelligence, where money and ambition are only hindered by imagination as tech vendors race to gain a competitive edge.
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But CIOs say they’re feeling increasing pressure to show that investments in AI are driving measurable business value – and the reckoning is coming soon, according to a new global survey from Dataiku and The Harris Poll.
In the survey, 71% of CIOs said they have until mid-2026 to prove that AI is a value-driver or they risk budget cuts, stalled programs and even losing their job.
The findings, based on responses from 600 CIOs at large enterprises worldwide, reveal that the appetite for innovation and experimentation is fading as boards and corporate leaders demand that AI prove that it’s more than just hype.
Welcome to the Accountability Era
For CIOs, that means that AI has the potential to make or break their careers – 90% said that their career path now depends on their success with AI, and 74% believe that their job is at risk if they don’t deliver measurable results within the next two years. 85% expect their compensation to be tied directly to AI outcomes.
Boards are paying close attention. Nearly all CIOs say they brief the board on AI performance quarterly (95%), and nearly half (46%) are briefing the board monthly. But almost one-third (29%) said that they have been asked frequently over the past 12 months to justify an AI outcome they could not fully explain.
And the cash being liberally doled out to AI projects could soon dry up, with 71% of CIOs saying their AI budgets will be cut or frozen if performance targets aren’t met by the end of the first half of 2026, but only 40% say they can directly link half or more of their AI initiatives to measurable cost savings or revenue.
“The pressure is real, and the timeline is tight, but there is a path to success,” said Florian Douetteau, co-founder and CEO of Dataiku, in a statement. “It favors CIOs who act decisively now, building AI systems they can explain, govern and stand behind before accountability is imposed rather than chosen.”
But that may be easier said than done, with 74% of CIOs reporting that they regret at least one major AI vendor or platform decision they made in the past 18 months, and 62% saying their CEO has directly questioned those decisions.
Being under the microscope is leading to a mounting sense of AI fatigue for enterprise tech leaders.
“Multiple studies in 2025 clearly show tons and tons of money going into AI development efforts, with very little going into production and very little value actually being recognized or returned,” said Richard Bird, chief security officer at Singulr AI, in an interview with ISMG. “That is an unsustainable dynamic.”
So far, the hype has managed to overshadow the creeping sense that AI may be a means to an end, but it isn’t the golden ticket it has been made out to be. Executives and vendors argue that value will materialize in time, he said, but if one thing is true about businesses, patience is not their virtue.
Enterprises, he said, will start to scale back AI initiatives that don’t demonstrate clear ROI.
Reinforcing that economic stress is the fact that “the unit economics of AI are not fully baked out at the moment,” said Jeff Pollard, vice president and principal analyst at Forrester.
Vendors have been masking the true cost of their AI products with subsidies, but that dynamic is unsustainable, Pollard said. Investors demanding margins over growth are going to come calling on vendors and prices will rise.
“You’re not paying the real price for it,” Pollard said. Any savings from productivity gains or headcount reductions will be eaten up by increased vendor cost, leaving tech leaders with higher costs and fewer skilled employees. The result could be brewing financial and cultural backlash in security teams and beyond.
Meanwhile, AI sprawl is accelerating across the enterprise, and most organizations haven’t addressed AI governance challenges.
A majority (85%) of CIOs say traceability or explainability gaps have already delayed or stopped AI projects from moving into production, and 82% say AI agents are being built faster than IT can govern them. Only 25% say they have real-time visibility into all AI agents running in production. Shadow AI is common, with 54% reporting they discovered it in their environments.
To try and make order out of the chaos, 70% percent expect formal AI audit requirements within the next year.
While AI governance and accountability remains murky, the stakes are high.
Nearly three-fourths of CIOs said their company would experience a major disruption if the “AI bubble” were to burst. Nearly two-thirds (60%) say their own job would be on the line if that were to happen, and 57% think an AI collapse could lead to the end of their organizations.