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Tom’s Hardware
Tom’s Hardware
Technology
Jowi Morales

Goldman Sachs says AI is too expensive and unreliable — firm asks if 'overhyped' AI processing will ever pay off massive investments

Goldman Sachs flag.

Corporations and investors have been spending billions of dollars on building AI. The current LLM models we use today, like GPT-4o, already cost hundreds of millions of dollars to train, and the next-generation models are already underway, going up to a billion dollars. However, Goldman Sachs, one of the leading global financial institutions, is asking whether these investments will ever pay off.

Sequoia Capital, a venture capital firm, recently examined AI investments and computed that the entire industry needs to make $600 billion annually just to break even on its initial expenditure. So, as massive corporations like Nvidia, Microsoft, and Amazon are spending huge amounts of money to gain a leg up in the AI race, Goldman Sachs interviewed several experts to ask whether investments in AI will actually pay off.

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