AI has been blamed for waves of job losses this year, but new research from MIT points to a more gradual impact. Instead of a rapid job apocalypse, AI’s effect on work may unfold over years, giving workers time to adapt.
AI’s Rise: A Slow-Moving Tide, Not a Crash
Diesel prices spiked in Texas and AI fears soared in boardrooms, but MIT researchers say the real story on AI and jobs isn’t a sudden crash—it’s a slow rise. The study analyzed 3,000 text-based tasks drawn from the U.S. Department of Labor’s O*NET database. These tasks represent many jobs that rely heavily on written and verbal communication, a segment where AI has made big strides.
According to the study, large language models (LLMs) can already complete about 60% of these tasks at a “minimally enough” level, meaning AI can handle them well enough to be useful but not perfect. Only 26% of tasks were done at a “superior quality,” indicating there’s still room for improvement.
“The capabilities of AI continue to grow rapidly,” the researchers wrote. “But instead of a crashing wave of automation, workers will likely see a rising tide that unfolds over years.” That means rather than jobs vanishing overnight, AI will gradually take on more work, allowing time for workers and companies to adjust.
Why 2029 Matters
The report projects that by 2029, AI could reach success rates of 80% to 95% on many text-based tasks, a level that could significantly reshape the labor market.
Still, the researchers caution that near-perfect performance—meaning almost error-free automation—won’t arrive for some time, especially in jobs where mistakes can’t be tolerated.
That timeline is crucial. It pushes back against the idea that AI-driven unemployment will hit hard immediately. Instead, workers may have years to upskill, change roles, or find new opportunities as AI gradually takes over routine tasks.
Hang on though—some industries will feel the pressure sooner than others. Text-heavy roles like legal research, content creation, and customer service could see faster AI adoption. But even there, firms must weigh the risks of errors and reputational damage.
Layoffs and the AI Excuse
Still, headlines about AI layoffs have piled up. Block, the fintech formerly known as Square, recently cut nearly half its workforce, citing efficiency improvements from “intelligence tools.” Amazon is trimming 14,000 jobs, citing AI-driven gains among other reasons. These moves have fueled fears that AI is already slashing jobs.
But experts say many layoffs are about business cycles and cost-cutting, not AI replacing humans directly. Marcelo P. Lima, a managing partner at Heller House, called claims that Block’s cuts were AI-driven a “fake narrative.” The company had massively expanded during the pandemic, swelling from 3,900 to 12,500 employees in just a few years.
Executives might highlight AI as a justification for layoffs, a practice some call “AI-washing.” It’s a handy explanation for tough decisions, but doesn’t always reflect how AI is actually being used today.
The Bigger Picture: AI’s Impact on Work
Worries about AI wiping out jobs aren’t new. For years, tech leaders have warned about automation reshaping industries. The difference now is AI’s rapid evolution and increased visibility.
Even so, MIT’s findings suggest the shift won’t be overnight. Instead, AI will steadily improve, automating more tasks and changing how work gets done. That means jobs won’t disappear immediately but will evolve, requiring workers to learn new skills and adapt to new roles.
Some experts believe AI will augment human work rather than replace it entirely—helping people do their jobs faster and better. But others caution that certain roles, especially those involving routine text processing, will face real disruption.
Either way, the timeline matters. If AI’s impact unfolds over years rather than months, there’s a window to prepare. Workers, educators, and policymakers can invest in training and support to help people transition to the future labor market.
The MIT study makes clear that AI’s impact on jobs is coming—but it’s more of a rising tide than a crashing wave. How workers and companies use the time before 2029 could shape whether AI becomes a tool for growth or a source of disruption.
