US Companies Increasingly Report Concrete Financial Gains From AI, Morgan Stanley Finds

A growing number of U.S. corporations are moving past the hype and reporting measurable financial returns and productivity gains from artificial intelligence, according to a new report from Morgan Stanley. The analysis suggests that significant investments in AI are beginning to translate into concrete business outcomes, easing investor concerns about the technology's return on investment.

Quantifiable Gains on the Rise

Morgan Stanley's review of over 17,000 corporate earnings calls and presentations found a steady increase in discussions of tangible AI benefits. The bank noted that executives are increasingly focusing on concrete results like revenue generation and cost savings rather than experimental use cases.

• Among companies the bank classifies as AI adopters, 40% cited at least one quantifiable benefit in the second quarter, up from 37% in the prior quarter and nearly double the 21% reported a year earlier.
• Across the broader S&P 500, approximately one-quarter of companies discussed measurable AI results, a significant rise from 14% a year ago.

Broadening Sector Impact

While technology companies remain the most vocal, with 51% citing quantifiable gains, the adoption of AI is clearly expanding into other industries. Communication services firms (44%) and financial companies (37%) followed, indicating a broadening impact beyond the traditional tech sector.

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Examples of these tangible benefits cited in the report include:

• HP Inc: Targeting $1 billion in annual savings from AI-powered operations.
• Verizon Communications: Reporting over $200 million in energy savings.
• Airbnb: Using AI to lower customer-service costs.
• Exxon Mobil: Employing AI to analyze drilling data in weeks instead of years.

Labor and Productivity Implications

The report also notes a growing corporate discussion around AI's impact on the workforce, though commentary on productivity remains more common. Roughly 10% of S&P 500 companies discussed labor implications in the second quarter, up from about 6% a year ago.

Rather than signaling widespread job cuts, companies are increasingly framing AI as a tool for automation and efficiency. A key emerging theme identified by Morgan Stanley is 'revenue-headcount decoupling,' where businesses leverage AI to boost sales and output without a proportional increase in staffing.