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US Companies Report More Tangible AI Profits and Productivity Gains, Morgan Stanley Finds

A rising number of U.S. companies are reporting quantifiable financial and productivity benefits from artificial intelligence, providing concrete evidence that massive investments in the technology are beginning to yield tangible returns, according to a report from Morgan Stanley.
The bank's analysis suggests the corporate narrative is shifting from experimental use cases to concrete business outcomes, easing investor concerns that the AI spending boom had yet to translate into bottom-line results.
From Hype to Hard Numbers
Morgan Stanley's findings are based on an analysis of more than 17,000 corporate earnings calls and conference presentations. The report highlights a significant increase in companies discussing measurable gains from their AI initiatives.
- Among companies classified by the bank as AI adopters, 40% cited at least one quantifiable benefit in the second quarter, an increase from 37% in the prior quarter and nearly double the 21% from a year earlier.
- Across the broader S&P 500, approximately 25% of companies discussed measurable AI benefits, up from just 14% a year ago.
Executives are increasingly pointing to specific financial metrics, including revenue generation, cost savings, and capital efficiency, which now constitute the largest share of AI-related commentary, followed by productivity improvements.
Sector Impact and Real-World Examples
AdWhile the technology sector remains the most vocal about AI's advantages, adoption is broadening. The report found that 51% of tech companies cited quantifiable benefits, followed by communication services firms at 44% and financial companies at 37%.
Companies are providing specific examples of AI's impact. Morgan Stanley noted instances such as:
- HP Inc. targeting $1 billion in annual savings from AI-enabled operations.
- Verizon Communications reporting over $200 million in energy savings.
- Airbnb using AI to reduce customer-service costs.
- Exxon Mobil leveraging AI to analyze drilling data in weeks instead of years.
The Effect on Employment
Discussions around AI's impact on labor are also growing, though they remain less frequent than commentary on productivity. The report found that about 10% of S&P 500 companies discussed labor implications in the second quarter, up from 6% a year ago.
Rather than signaling widespread job cuts, companies are framing AI as a tool for efficiency. The fastest-growing theme identified by Morgan Stanley was "revenue-headcount decoupling," where businesses use AI to boost output and sales while keeping hiring relatively flat.