Seven in 10 Companies Ready to Cut AI Budgets as ROI Falls Short
Nearly 70% of companies plan to reduce AI spending this year if projects fail to deliver measurable business results, according to a survey of 2,850 business leaders across six global markets. The finding signals a sharp shift from the aggressive AI expansion of 2024 and 2025, when companies deployed systems largely out of competitive fear.
The 2026 AI at Work Report, published by Globalization Partners, shows executives are moving away from hype-driven experimentation toward financially accountable deployment. The pressure is mounting from boards and investors to prove that billions spent on systems from OpenAI, Microsoft, and Google are actually generating returns.
The ROI Reality Check
The numbers reveal a gap between AI spending and results. Seventy-three percent of executives reported that at least some AI investments failed to meet expectations over the past 12 months. Meanwhile, the share of executives describing their organizations as "aggressively" using AI to innovate dropped from 60% to 42% year over year.
Executives now face boardroom pressure to justify AI spending. Earlier research found that many leaders believe failed AI strategies could threaten their positions, turning AI from a competitive opportunity into a liability.
The Hidden Cost: Oversight and "AI Slop"
Companies are discovering that AI deployment at scale creates unexpected operational burdens. Sixty-nine percent of executives said employee time spent reviewing or updating AI-generated work increased over the past year.
What companies marketed as productivity acceleration is generating new layers of governance, verification, compliance, and quality control. Executives increasingly describe this as an "AI oversight tax"-the hidden cost of managing hallucinations, explainability problems, legal exposure, and quality assurance.
Productivity Theater
A striking concern emerged in the survey: 88% of executives worry that employees are using AI tools to create the appearance of productivity without generating meaningful business value. Forty-seven percent said they are very or extremely concerned this is already happening.
The finding points to a disconnect between AI activity and measurable business outcomes. As companies pressure workers to integrate AI into daily workflows, many are struggling to distinguish real productivity gains from superficial usage metrics.
Global Talent Wars Amid Workforce Concerns
Despite ROI concerns, companies continue competing aggressively for AI talent. Eighty-two percent of executives are hiring workers in countries where they currently have no employees to secure AI capability.
Yet the same executives admit AI has lowered the value they place on human workers. That contradiction carries risk: organizations still need human creativity and expertise to deploy AI effectively, according to analysts.
The Shift Toward Discipline
Enterprise AI is entering what some call a "pressure testing" phase. Companies are asking harder questions: Is AI actually improving productivity? Are efficiency gains real? Can organizations govern AI safely? Is ROI sustainable?
The market appears to be moving away from peak hype toward a more disciplined phase focused on operational efficiency, profitability, governance, and long-term strategic value. Companies that can prove measurable AI value under growing financial and regulatory pressure will win the race-not those deploying fastest.
For executives managing AI strategy, the message is clear: budget cuts are coming for underperforming projects. Understanding AI for Executives & Strategy and AI for Finance decisions will be critical as organizations demand accountability.
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