AI Bubble: ‘AI’s use case is work that shouldn’t be done’

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The AI boom has attracted trillions of dollars, massive data center investments, and some of the biggest companies in the world.

But what if a huge portion of AI’s most popular use cases are simply automating work that shouldn’t have been done in the first place?

In this video, we explore the uncomfortable argument behind the AI bubble: companies are racing to deploy AI for emails, reports, meetings, content, coding, customer support, and countless repetitive tasks—but does making unnecessary work faster actually create real economic value?

We’ll break down the gap between AI hype and measurable productivity, why businesses continue spending billions despite uncertain returns, and what needs to happen for AI to move from an impressive technology to something that genuinely transforms the economy.

The AI revolution may be real. The bigger question is whether today’s valuations, spending, and expectations are.

#AI #ArtificialIntelligence #AIBubble #Tech #OpenAI #FutureOfWork #Automation #AITools
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Заработок на AI
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