Lars Klottrup’s Post

GEN AI: TOO MUCH SPEND, TOO LITTLE BENEFIT? Goldman Sachs warns that despite huge investments in generative AI, companies are yet to demonstrate a killer application. Will the AI bubble burst soon? Tech giants, other companies and utilities are investing an estimated $1 trillion in data centers , GPUs , network expansion and other AI infrastructure in the coming years , writes investment bank Goldman Sachs in a new report . But so far, this spending has yielded little, aside from reports of efficiency gains among developers. "So the key question is: What $1 trillion problem will AI solve?" says Jim Covello, head of research at Goldman Sachs. "Many people try to compare AI today to the early days of the Internet. But even in its early days, the Internet was a low-cost, technological solution that enabled e-commerce to replace costly incumbent solutions." Given the high barrier to entry and the price trend of key components such as GPUs, Costello is skeptical that the cost of AI will ever drop enough to make automating a large portion of tasks affordable. "The market is too optimistic about the likelihood of cost reductions," he says. His colleague Kash Rangan has a longer view: "Every IT cycle follows a process known as IPA - infrastructure first, platforms second, and applications last. The AI cycle is still in the infrastructure build-out phase, so it will take some time to find the killer application, but I believe we will get there." What do You think? https://lnkd.in/dpYt8HSc #GoldmanSachs #GenAI #CostBenefit #KillerApplication #Bubble #IPA

Platzt die KI-Blase bald?

Platzt die KI-Blase bald?

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