Economic consequences
Integrating generative AI promises immense productivity gains through automating tasks across sectors – albeit risking workforce disruptions given the pace of change. Assuming computing scales sustainably, projections estimate 30–50% of current work activities will be automatable by 2030, adding $6–8 trillion annually to global GDP. Sectors like customer service, marketing, software engineering, and R&D may see over 75% of use case value. However, past innovations ultimately spawned new occupations, suggesting long-term realignment.
Developed regions are likely to witness faster uptake, displacing administrative, creative, and analytical roles initially. Yet automation extends beyond employment loss – at present, under 20% of US worker tasks seem automatable directly through LLMs. But LLM-enhanced software could transform 50% of tasks, affirming the force multiplication from complementary innovations. Thus automation’...
