Public companies are extracting the most strategic value from generative AI
Published March 5, 2026
Most organizations use AI, but few translate that activity into real advantage. A new global survey shows a split: public companies and true early adopters are pulling ahead while everyone else experiments.
Across 1,735 executives, 27% said generative AI is "mostly" or "extensively" delivering a strategic edge. Among public companies, that jumps to 38% - higher than even the largest firms by revenue, which sit at 28%. The smallest companies aren't far behind big firms at 25%, suggesting structure and focus matter more than size.
Why public companies outperform size-based peers
Public markets reward firms that turn pilots into profit. That pressure often creates crisper governance, clearer investment criteria, and faster pruning of dead-end projects.
The takeaway for leadership: treat AI as a strategy execution problem. Set targets, publish milestones internally, and tie funding to measurable outcomes - not demos.
Early adopters win big - and feel the heat
The survey tagged 453 "AI-transformed entities." In that group, 73% report AI delivering strong strategic advantage. But they also feel rising competitive pressure: 54% are mostly or extensively worried that rivals will use AI more effectively, versus 30% across the full sample and 38% among public companies.
Board attention tracks the same pattern. 65% of early adopters say AI risk is a board priority, compared with 30% overall. As Mark Beasley of NC State's Enterprise Risk Management Initiative puts it: "AI's benefits and risks rise in tandem."
Regions: North America and Europe trail implementation impact
Executives in North America and Europe - 60% of the total sample - report less strategic lift from AI than peers in Africa, the Middle East, Asia, and Australia/New Zealand. The report points to legacy processes and infrastructure as friction, while other regions can integrate AI with fewer constraints from outdated systems.
If you lead in a legacy-heavy market, your edge is speed of simplification. Rationalize processes and retire technical debt that blocks deployment.
Industry spotlight: mining shows fast ROI
Mining stands out: 48% of executives in the sector report high strategic impact from generative AI, versus 30% overall. Clear use cases drive this: autonomous haulage, computer vision for safety, ore body modeling, and predictive maintenance on critical equipment.
The pattern is instructive for every industry: focus where data is rich, workflows are repeatable, and downtime is costly. That's where AI moves the P&L first.
What executives should do next
- Define three to five AI use cases with line-of-sight to revenue, margin, or risk reduction. Kill anything without measurable upside in two quarters.
- Stand up board-level oversight for AI risk. Align on policies for data use, model risk, vendor exposure, and incident response. See NC State's ERM guidance for structure (ERM Initiative).
- Adopt a product operating model for AI. Assign product owners, instrument outcomes, and scale only what clears ROI thresholds.
- Cut legacy friction. Consolidate data sources, enforce quality, and retire systems that block integration and deployment.
- Balance talent and tooling. Upskill domain experts, pair them with ML engineers, and clarify which work goes to vendors vs. in-house teams.
- For public companies: communicate AI strategy and risk posture in investor materials. Tie disclosures to material impacts and governance maturity.
- Track competitive moves. Treat peer AI progress as a leading indicator for pricing, cost structure, and customer expectations.
Benchmarks at a glance
- 27% overall say gen AI is mostly/extensively delivering strategic advantage.
- 38% among public companies (vs. 28% of $1B+ revenue firms, 25% of sub-$10M firms).
- 73% of "AI-transformed" entities report strong advantage.
- 54% of those early adopters worry competitors will out-execute them on AI (vs. 30% overall, 38% public).
- 65% of early adopters say AI risk is a board focus (vs. 30% overall).
- Mining: 48% report high impact (vs. 30% overall).
Sources and further reading
The findings come from research by the Association of International Certified Professional Accountants and the Chartered Institute of Management Accountants (AICPA & CIMA).
For executive playbooks and governance readiness, explore AI for Executives & Strategy and the AI Learning Path for CEOs.
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