The clock is ticking for AI projects to either prove their worth or face the chopping block.
Or so says data management and machine learning biz DataikuAI, which commissioned research conducted online by the Harris Poll to get a snapshot of the views from 600 Chief information officers (CIOs) across the US, UK, France, Germany, UAE, Japan, South Korea, and Singapore.
The report, “The 7 Career-Making AI Decisions for CIOs in 2026,” claims AI is facing corporate accountability in 2026 after several years of investment into research and pilot projects. CIOs are worried their careers are on the line if the tech’s effectiveness falls short of expectations.
Money continues to be pumped into AI as the next great thing in business, but a growing number of studies have found that adopting AI tools hasn’t helped the bottom line, and enterprises are seeing neither increased revenue nor decreased costs from their AI projects.
In the past, the CIO could argue that a new tech was in its early development, evolving, or “still being optimized,” Dataiku’s report notes, but regulators are looking for traceability, corporate boards are asking for performance, and investors want to see quicker value generation.
Perhaps not surprisingly, almost all respondents (98 percent) said pressure from the board to demonstrate measurable return on investment (ROI) is increasing, and retaining budgets may depend on whether they can prove a measurable return.
Time is running out, the report claims. Some 71 percent of the CIOs surveyed believe their AI budget will likely face cuts or a freeze if targets are not met by the end of the first half of 2026. And the consequences won’t just stop at funding: 85 percent of CIOs believe their employers will tie their compensation to measurable AI outcomes, and many say the same applies to their chief exec.
CIOs also fret about the explainability of their AI systems, with some (29 percent) indicating they were asked multiple times over the past year to justify an AI outcome they could not fully explain.
Dataiku says this issue is about to harden into formal requirements, with 70 percent of CIOs expecting AI audit or explainability requirements to arrive within the next 12 months.
When it comes to the latest buzzword, “agentic AI” or AI agents with the power to carry out actions, the CIOs say these are no longer a lab concept and are already working inside corporate networks. Some 62 percent of CIOs indicate agents are embedded in some business-critical workflows, while a worrying 25 percent say agents have become the operational backbone of many critical workflows.
Worrying because the report reveals three-quarters of CIOs admit to not having full real-time visibility into AI agents running in production systems, even though they have the ability to implement actions.
The majority of CIOs (82 percent) admit their employees are creating AI agents and apps faster than the IT department is able to govern them. The same number indicate they are concerned worker-built AI could expose sensitive company data.
The fear is not only that employees will build the wrong thing – it’s that they will build the right thing in the wrong place, with the wrong data, under the wrong controls, the report states.
Many CIOs are also owning up to a certain level of buyer’s remorse when it comes to some of the decisions made regarding their organization’s AI stack. 74 percent say they regret at least one major AI vendor or platform selection made in the past 18 months.
And while the execs in charge of the tech megacorps pushing AI are adamant the craze is most definitely not a bubble – except for OpenAI CEO Sam Altman, of course – the corporate CIOs in the survey are not so sure, and most are fearful of what will happen if it bursts.
Some 73 percent suspect their company would experience major disruption, with more than half (57 percent) saying their company’s very survival might be at stake. Oh, and 60 percent feared they may lose their job should the big pop ever happen.
Sleep tight all. ®
