A new MIT study challenges previous predictions about AI-induced job displacement.

The study finds that only 23% of workers could currently be replaced by AI in visually-assisted tasks due to high costs.

As data costs decrease and AI accuracy improves, tasks automated cost-effectively could rise to 40% by 2030.

Sectors like retail, transportation, warehousing, and healthcare are more favorable for AI implementation.

Flexible AI systems like GPT-4 could accelerate automation in the economy.

The narrative that machines will steal jobs seems exaggerated at present.

The researchers emphasize the necessity of policy initiatives and cost reductions for widespread AI adoption.

Understanding the pace of AI task automation is crucial for informed policy and business decisions.