Observed Signal · Mar 30, 2023 · Technical Release · Source: OnlineMarketing.de · Impact: 4/5 · Sentiment: Neutral
Goldman Sachs: 300M Jobs at Risk from AI
OnlineMarketing.de reports on a Goldman Sachs study which finds that generative AI systems like ChatGPT could affect roughly 300 million full-time jobs worldwide. The study identifies administrative and legal roles as among the most vulnerable, and notes that about two-thirds of current jobs face some degree of AI automation, with generative AI potentially replacing up to 25% of tasks in the US and Europe. However, the report also highlights productivity gains and the creation of new roles, projecting a 7% increase in global output from broader AI adoption and possible labor-cost savings. It names Goldman Sachs economists Joseph Briggs and Devesh Kodnani as authors, with Manav Raj of Wharton another contributor. The article also cites related reporting from the BBC and atlasVPN and points to early examples such as the rising prominence of 'prompt engineers' in the job landscape.
Significant potential impact of AI on global employment and productivity; highlights both risks and opportunities for the AdTech/MarTech landscape.
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Key Takeaways & Evidence Grounding
- Goldman Sachs forecasts generative AI could affect 300 million full-time jobs globally.
- Administrative and legal roles are identified as among the most at risk.
- About two-thirds of current jobs are exposed to AI automation; generative AI could replace up to 25% of tasks in the US and Europe.
- Broad AI adoption could increase global productivity and output by about 7%.
- Prompt Engineers are cited as an emerging new job; study authors include Joseph Briggs and Devesh Kodnani; Manav Raj is also an author.
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Is Generative AI Creating More Jobs?
Michael Spencer's May 7, 2026 analysis examines whether generative AI is producing net job growth or primarily displacing workers. The piece cites recent tech layoffs (notably Coinbase’s ~14% reduction), executive statements about AI-driven productivity gains, and economist Torsten Slok’s argument that the AI shock may mirror past automation episodes but now affects cognitive, white‑collar roles. Spencer questions where wholly new categories of jobs will emerge, considers possible wage and quality effects, and raises the Jevons paradox — that efficiency gains might increase demand for lower‑cost roles rather than create high‑quality new employment. The author frames the generative‑AI era as still early (rooted in 2017, accelerating from 2023) and highlights mixed demand shifts within tech roles (e.g., software engineers vs. product managers).
20 Ad Jobs Killed by Tech – AI Impact Uncertain
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