Morgan Stanley Analysis Shows AI Boosting Worker Productivity Without Job Losses
A new analysis from Morgan Stanley Research indicates that artificial intelligence is enhancing productivity in U.S. industries without reducing employment. The study found that high-AI exposure sectors contributed significantly to overall productivity growth through the end of 2025.
Substrate placeholder — needs review · Wikimedia Commons (CC BY-SA 3.0)A Morgan Stanley Research analysis examined U.S. productivity data across industries based on their exposure to artificial intelligence. The study found that industries in the top quartile of AI exposure contributed 1.7 percentage points to the overall 2.4 percentage-point productivity growth over the four quarters through the end of 2025.
A year earlier, those industries had contributed 0.7 percentage points. Employment growth remained similar across high-, medium-, and low-AI exposure industries during this period. Output accelerated in high-AI industries while stagnating in others.
In low-AI industries, output slowed.
executive and AI strategist Daniel Miessler stated in a LinkedIn post that AI enables top performers to handle more work, reducing the need for lower-tier employees. Miessler wrote that companies are spending millions annually on employees in the bottom 75 percent and may no longer want to pay for such roles.
This dynamic suggests productivity increases may concentrate among a smaller group of workers using AI tools. The analysis indicates no broad job displacement yet, but internal reallocations could occur.
of AI Tools Technologist Shaun
Warman wrote in a blog post that current AI tools are subsidized, with users providing training data to developers. Warman noted that individual users consume $80 to $150 in compute costs monthly, while subscriptions cost $20. Warman predicted that this subsidy could end in three to five years due to advances in synthetic data, agentic self-play, and scaling limits on human feedback.
After that, access might shift to expensive enterprise contracts or direct operations by AI labs. Large enterprises could afford higher costs, while smaller firms, lower-margin industries, and public sector workers might face reduced access. The current productivity gains appear tied to this temporary phase of broad AI availability.
Fortune reported using generative AI as a research tool for this story, with an editor verifying the information.
Key Facts
Story Timeline
4 events- Recent weeks
Daniel Miessler argued in a LinkedIn post that AI allows top performers to absorb work from others.
1 sourceFortune - Recent
Shaun Warman stated in a blog post that AI tools are subsidized and the subsidy may end in three to five years.
1 sourceFortune - Through end of 2025
Morgan Stanley Research analyzed productivity data showing high-AI industries contributed 1.7 percentage points to growth.
1 sourceFortune - A year earlier
High-AI industries contributed 0.7 percentage points to productivity growth.
1 sourceFortune
Potential Impact
- 01
AI labs could shift to direct operations, capturing more economic value from productivity.
- 02
Smaller firms may lose access to advanced AI tools as costs rise, reducing their productivity gains.
- 03
Top performers in companies could handle more work, leading to internal job reallocations.
- 04
Public sector workers might face challenges affording AI tools after subsidies end.
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