Life-changing inventions like the internet disrupted high-cost solutions even in their infancy, unlike costly AI tech today. Doubt is cast on AI's cost reduction potential for automation, as starting costs are high and critical inputs like GPU chips are complex to build. The skepticism extends to the valuation boost for companies using AI, seeing efficiency gains as short-lived due to competition and revenue enhancement as unclear. Furthermore, doubts are raised on AI's ability to replicate humans' most valuable capabilities using models trained on historical data.
Recently, Goldman Sachs made waves in the AI space with their report "Gen AI: too much spend, too little benefit?" In this extra long episode, NLW explains what he sees as problems with the arguments of the skeptics featured in the piece, as well as why the report actually isn't nearly as negative as people are presenting it.
Read the report: https://www.goldmansachs.com/intelligence/pages/gen-ai-too-much-spend-too-little-benefit.html
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