MIT: The Impact of AI on Employment Will Extend Over a Decade

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Key Takeaways

1A study from MIT suggests that AI will impact employment gradually, providing workers with more time to adapt.

2Language models perform 60% of text tasks at a sufficient level, but only 26% at a superior level.

3A report from Forrester predicts that 6% of American jobs could be automated by 2030.

💡Why it matters — This gradual evolution allows workers to prepare and train for the transformations in the job market.

A More Gradual Impact of AI on Employment

A recent study conducted by MIT offers a nuanced view of the impact of artificial intelligence on the labor market. Contrary to fears of a rapid and brutal transformation, researchers believe that the impact will be felt over a longer period, thus giving workers more time to adapt. This perspective could be a game changer for many employees who are concerned about their professional future.

Anxiety related to AI has become an omnipresent reality over the past year, as AI agents have become more capable. Even a slightly longer horizon for sustainable change could make a huge difference in whether, and how many, workers will have the opportunity to upskill for a very different labor market in the future.

AI and Text-Based Tasks

For this study, MIT referred to 3,000 text-based work tasks from the O*NET database of the U.S. Department of Labor, used by many companies, including Anthropic, to map the impact of AI on work. Researchers assessed how AI could help save at least 10% of workers' time on these tasks. Language models managed to accomplish 60% of these tasks at a level deemed "minimally sufficient" by human managers, and only 26% at a "superior" level. Researchers were impressed by what AI could achieve. It’s not that AI's progress will be less impressive than expected, but that this progress will manifest over a longer period, "so that individual workers are less likely to be caught off guard by AI."

Automation and Role Transformation

Another MIT study, published in December 2025, revealed that current AI systems could automate about 12% of the U.S. workforce. This is not limited to technology-specific jobs but also covers roles in finance, human resources, office administration, and more. However, the implementation of this automation will depend on adoption by companies. A Forrester report from January predicts that 6% of jobs in the U.S. could be automated by 2030, highlighting the importance of companies' AI adoption strategies.

Debates on the Future of Work

The debate over the impact of AI on employment divides experts. Some, like Elon Musk, fear that AI will replace human workers, while others believe it will rather transform existing roles. Keith Spencer, a career development specialist, notes a trend toward augmenting tasks rather than replacing them, with varied impacts across sectors. He adds that AI is also creating new opportunities in freelance work and temporary assignments.

AI and Workload

A report from the Harvard Business Review in February revealed that the use of AI at work does not necessarily reduce workload. On the contrary, it can intensify it, with workers using these tools during breaks or outside of working hours to advance their projects.

Anxiety and Skill Development

Anxiety related to AI remains high among workers. A Resume Now survey from December 2025 indicates that 60% of workers believe AI will eliminate more jobs than it creates by 2026, and more than half are worried about losing their jobs due to AI this year. Despite numerous accounts of workers learning more with AI by their side, more than half of the surveyed workers stated that AI had not had a significant impact on the growth of their skills or how they apply them.