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Most CEOs are not literally becoming their companies’ chief AI officers, but Boston Consulting Group’s 2026 AI Radar finds that 72% of surveyed CEOs say they are the main decision makers on AI—twice the share reported a year earlier. The same survey finds companies plan to raise AI investment from about 0.8% of revenue in 2025 to about 1.7% in 2026. A separate 74% figure, from Dataiku in 2025, measures CEOs’ concern that they could lose their jobs if they fail to deliver measurable AI gains.
What the CEO and spending figures measure
The numbers come from two different surveys and describe different things. BCG’s 2026 AI Radar measures reported AI decision ownership, planned spending and executives’ expectations. Dataiku’s 2025 Global AI Confessions Report measures job-risk anxiety among CEOs. Neither survey, as summarized in its public findings, establishes that CEOs have taken over the technical work of a chief AI officer or that planned investment has already produced returns.
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| Finding | What it means | Source and scope |
|---|---|---|
| 72% | CEOs who say they are the main decision makers on AI | BCG, 2026; survey of 2,360 executives, including 640 CEOs, across 16 markets and nine industries |
| About 1.7% of revenue | Planned AI investment in 2026, compared with roughly 0.8% in 2025 | BCG, 2026; company plans, not audited expenditure |
| 94% | CEOs who say they will continue investing even if AI does not pay off in 2026 | BCG, 2026 |
| 74% | CEOs who say they could lose their job within two years if they fail to deliver measurable AI-driven business gains | Dataiku, 2025; international report |
Are CEOs becoming the chief AI officer?
BCG describes a shift from CIO-led AI initiatives toward CEO-led transformation. The 72% result refers to CEOs identifying themselves as the main AI decision maker; it does not mean they personally direct model development, data engineering or day-to-day technology operations. A CEO can own the business direction and investment decisions while a CIO, chief data officer or other specialist leads implementation.
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The practical question is therefore not whether the CIO has become irrelevant. It is whether the organization has clear decision rights: who sets priorities, approves funding, accepts business risk and is accountable for results. CEO sponsorship can connect AI projects to company-wide goals, while technical and risk leaders retain the expertise needed to assess feasibility, security and operations.
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Why are companies planning to double AI budgets?
BCG’s surveyed companies plan to increase AI investment from approximately 0.8% of revenue in 2025 to approximately 1.7% in 2026. That is a planned spending level, not evidence that every company will spend that share or that spending will double in every industry. The survey’s 94% finding suggests that many CEOs intend to keep investing even if AI fails to pay off in 2026, indicating that they view AI as a strategic priority rather than a short-term experiment.
BCG CEO Christoph Schweizer said, “Despite economic uncertainty, this anticipated surge in spending reflects how much of a priority AI has become in the business world.” The spending plans reflect executive commitment, but spending alone is not proof of value. A budget can fund useful capabilities—or projects that do not solve an important business problem.
Do CEOs expect AI to deliver ROI?
BCG reports that four out of five CEOs are more optimistic about AI’s return on investment than they were a year earlier. Nearly all expect measurable returns from AI agents in 2026. These are expectations, not reported proof that those returns have already been realized. The findings supplied do not quantify how many companies have achieved a specific financial return or what counts as a successful agent deployment.
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What does the 74% CEO statistic actually mean?
Dataiku’s 2025 international report says 74% of CEOs believe they could lose their job within two years if they fail to deliver measurable AI-driven business gains. This is a reported perception of personal employment risk. It is not the share of CEOs who have been dismissed, the share of companies that have achieved AI ROI, or the percentage who say AI will replace them.
Dataiku’s release describes AI strategy as a defining factor in corporate survival. That framing helps explain the pressure reported by CEOs, but it should not be confused with a measured prediction that any specific company will fail without AI.
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How should companies divide AI leadership?
CEO ownership is most useful when it makes accountability explicit rather than concentrating every AI decision at the top. A leadership team can assess its approach across five areas:
- Decision rights: Identify who sets AI priorities, approves investment, chooses acceptable use cases and can pause a deployment.
- Spending: Track AI investment as a share of revenue and distinguish committed budgets from actual expenditure.
- Returns: Report forecast ROI separately from realized results, using a baseline and a named business metric.
- Controls: Define governance for privacy, cybersecurity and business risk before scaling systems or agents.
- Capability: Invest in executive understanding and workforce skills, not only technology acquisition.
This division lets a CEO connect AI to business priorities without substituting executive enthusiasm for technical review or controls.
Why CEO upskilling matters
BCG says its trailblazing CEOs spend more than eight hours each week on their own AI upskilling and invest more in organizational capability building. This describes a group characterized by BCG as trailblazing CEOs; it should not be read as a universal average for all CEOs. The finding points to a broader leadership requirement: executives need enough fluency to ask about use cases, costs, risks and evidence of value, while teams across the organization need the skills to apply and govern AI responsibly.
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