At a Glance

  • A new analysis by artificial intelligence startup Blue Bridge Group AI shows that companies with concrete AI strategies have seen their stock performance outperform peers that rely on vague or generic narratives.
  • The company's "2026 AI Barometer" analyzed annual reports from 275 companies covering major U.S. and European stock indices, spanning fiscal years 2020 to 2025. The results show that companies providing detailed AI strategies—including clear quantitative targets and specific actions taken or planned—outperformed peers that remained silent on AI or used only vague AI language. The findings were shared with CFO Dive.
  • "There is a clear correlation between talking a lot about AI and rising stock prices, and this correlation strengthens when disclosures are specific rather than generic," Blue Bridge CEO Sylvie Ouziel said in an interview.

Deep Insights

The study found that mentions of AI in annual reports have grown five to seven times since 2020. The communications/technology and financial sectors were the most active in discussing technology choices, followed by business services, industrial/energy, luxury/consumer goods, healthcare/diagnostics, and aerospace/defense.

In 2024, companies mentioning AI saw average stock gains of 1.3%, while those that did not mention the technology fell by an average of 16.7%—a gap of 18 percentage points.

Companies that comprehensively showcased their AI initiatives across five dimensions (market impact, strategy, operations, organization, and technology) achieved average excess returns of 8.8% between 2022 and 2024, while those that did not disclose AI activities fell by an average of 4.7%.

Meanwhile, the early hype around AI has given way to the reality of companies grappling with implementation risks and challenges, with the analysis showing that U.S. companies have taken a notably more cautious stance compared to their European counterparts.

In the U.S., 63% of statements related to AI's business impact carried a negative tone, compared to 37% in the UK and France, and just 26% in Germany.

The study found that U.S. companies' concerns about AI span several key areas, including fragmented regulatory requirements, cybersecurity threats, intellectual property risks, model accuracy issues, and uncertainty around return on investment.

Ouziel believes this disparity may reflect differences in where companies sit on the AI adoption curve.

"I think U.S. companies may be further along and are grappling with the difficulties of deploying AI at scale," she said.