IBM's 2025 CEO Study: Key Takeaways

IBM's 2025 CEO study surveyed 2000 global CEOs from 24 industries to find out how organizations are considering and implementing AI in their operations.
The results are striking. Leaders now view risk as an imperative, throwing caution to the wind, with bold technology decisions the key to maintaining a competitive edge. IBM's own vice chairman, Gary Cohn, even claimed that CEOs who aren't leveraging AI are making a conscious decision not to compete.
The lesson is clear: If you want to stand a chance in this increasingly competitive market, AI adoption is not a choice, it’s a necessity.
Read on to gain more key takeaways from the report and learn how CEOs are running towards AI at full speed.
CEOs are responding to volatility not with caution, but by rethinking every strategy. AI is no longer viewed as a productivity booster; it’s a catalyst for reimagining business performance. Five critical mindset shifts are shaping modern leadership:
Lead with Boldness, Not Caution
Small change is insufficient in today’s climate. Courageous, decisive leadership now poses less risk than hesitation.
Rebuild, Don’t Retrofit
AI is disrupting the foundations of legacy business models. Leaders are dismantling outdated structures to architect faster, more adaptive operations.
Turn Data Chaos into Competitive Clarity
CEOs admit that past tech investments created fragmented data ecosystems. The next wave of advantage depends on building coherent, connected, and decision-ready data environments.
From Fear of Missing Out to Focus on ROI
While only 25% of AI projects are meeting ROI expectations, high-performing leaders are resisting hype and refocusing on value creation over experimentation.
Rethink Talent as a Network, Not a Fixed Asset
With skills gaps widening, CEOs plan to re-skill a third of their workforce within three years. Agile leaders are building talent ecosystems—blending in-house, outsourced, and AI-enabled capabilities.
Winning organizations are prioritizing making data available for everyone in the business, enabling real-time, insight-led decision-making across the enterprise.
Only 16% of AI programs have achieved enterprise-wide scale.
A shift is underway, from tech exploration to value-based innovation:
The focus is expanding beyond cost-cutting to include customer experience, resilience, and risk mitigation.
Risk Is the New Safe
Inaction is the greatest threat. Prioritize bold bets in AI, data, and transformation over cautious continuity.
Adopt an AI-First, Not AI-Also Strategy
Position AI not as a support tool, but as a central pillar of competitive strategy, embedded across marketing, operations, and innovation.
Data = Agility
Unified, accessible data environments are the foundation for faster, more informed decisions. Clean data is now a strategic asset, not a technical concern.
Shift Innovation Metrics to Business Value
Kill vanity projects. Focus investment on innovations that deliver measurable commercial, customer, or risk-related outcomes.
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