MIT study finds steady AI growth reshapes work
Workplace roles are gradually shifting towards oversight and management of AI systems as automation spreads across tasks.
A new study from the Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory finds that AI is reshaping work through steady, broad-based improvements rather than sudden technological jumps.
Researchers describe this pattern as a ‘rising tide,’ in which capability gains emerge across many tasks simultaneously.
The analysis draws on more than 17,000 worker evaluations covering over 3,000 text-based tasks from US labour classifications. Findings show limited evidence of abrupt ‘crashing wave’ breakthroughs in which AI suddenly masters specific job areas.
Instead, performance improves consistently across tasks of varying complexity and duration. Researchers report that current AI systems can already complete roughly half to three-quarters of text-related tasks at a minimally sufficient standard without human intervention.
Projections suggest that, if current trends continue, success rates could reach around 80 to 95 percent by 2029, although higher-quality performance may take longer to achieve.
Workplace change is unfolding gradually, with employees shifting towards oversight roles focused on directing, reviewing, and validating AI outputs.
Despite a slower structural transition than abrupt disruption scenarios, researchers warn that cumulative improvements could still drive significant labour market effects as adoption expands.
AI-driven change is likely to unfold across a wide range of tasks, allowing adaptation by workers and organisations while still signalling longer-term shifts in skills, workflows, and labour markets.
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