AI Strategy Communication Linked to Stock Performance in New Study
A recent study by Gregory reveals that companies with effective AI strategy rollouts significantly outperform the market. Poorly executed communications correlate with negative returns.
A new study released by Gregory demonstrates a significant link between the quality of a company's AI strategy announcements and its stock market performance. The research assessed the AI strategy communications of 449 companies across five key dimensions between 2022 and 2025.
Key evaluation criteria included CEO personal involvement, clarity of named use cases, 90-day follow-up on plan execution, board and governance history with AI, and tier-1 media coverage. Companies were assigned an AI Communications Quality Score (ACQS) based on these factors.
According to the study, companies scoring in the highest tier (Tier 1) achieved an average alpha improvement of 10.8% compared to benchmarks within 90 days of their announcements. Conversely, the lowest-performing companies (Tier 3) experienced an average alpha loss of 2.2%. The gap between the strongest and weakest communicators was 13 percentage points.
Gregory CEO Greg Matusky stated that the primary differentiator was the level of commitment and follow-through. Top performers demonstrated clear ownership, specific use cases, and tangible results shortly after announcements. Weaker companies' communications were often vague and did not deliver the expected market value.
The study recommends that companies ensure the CEO's personal involvement and a 90-day execution plan before announcing AI initiatives. A poorly told AI story can lead to negative returns, making silence a more financially sound option.