Goldman Sachs analysis indicates generative AI is already impacting the labor market, notably in the tech sector, despite limited full-scale deployment. Evidence includes a hiring pullback and a 3 percentage point increase in unemployment for tech workers aged 20-30, as companies increasingly leverage AI for tasks and scale back junior hires. Economist Joseph Briggs projects that 6-7% of all workers could eventually be displaced by AI automation in a baseline scenario, a process that could accelerate with faster adoption or economic downturns, though this forecast excludes the potential impact of Artificial General Intelligence.
According to research from Goldman Sachs, the labor market is already exhibiting signs of disruption from generative AI, even before widespread enterprise deployment. The primary evidence is concentrated in the technology sector, where a two-decade trend of increasing employment share has reversed over the last three years. This pullback is disproportionately affecting younger workers, with the unemployment rate for tech professionals aged 20-30 having surged by 3 percentage points since the beginning of the year, a significantly larger increase than for other demographics. This trend aligns with commentary from executives at Microsoft, Alphabet, and Salesforce, who report that AI is already handling substantial workloads, such as 30% of coding on some projects. This indicates a strategic shift towards 'labor substitution,' where companies are curtailing junior hiring in favor of AI-driven productivity. Goldman's baseline forecast projects that 6-7% of all jobs could be displaced by AI automation over the next decade, with the potential for this transition to accelerate due to faster technological adoption or an economic downturn. Notably, this forecast explicitly excludes the more profound, systemic impact that the emergence of Artificial General Intelligence (AGI) would have on labor markets.
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