AI Is Too Expensive for Companies Now?

There is a shift happening in enterprise AI today: from unlimited AI adoption to AI cost optimization. For the past two years, companies encouraged employees to use AI as much as possible. But in 2026, the conversation has changed dramatically. Organizations are discovering that AI isn't just powerful—it's also expensive.

In this video, we look at:
* Why Uber reportedly exhausted its annual AI budget in just a few months
* How Meta and other companies are rethinking "tokenmaxxing"
* Why Microsoft and other enterprises are introducing AI spending controls
* How usage-based pricing is changing enterprise software economics
* Why OpenAI and Anthropic are facing compute shortages, outages, and usage limits
* What AI FinOps is and why it may become as important as Cloud FinOps

As AI agents become more autonomous and businesses rely on them for software development, research, and knowledge work, every token has a cost. Companies are now shifting their focus from maximizing AI adoption to maximizing business value per dollar spent.

If you're interested in AI, software engineering, cloud computing, or enterprise technology, this video explains why the economics of AI may become just as important as the technology itself.

00:00 The hidden shift in enterprise AI
01:42 Uber's AI budget shock
04:18 The TokenMaxxing illusion
08:05 Microsoft, Meta and AI cost discipline
10:45 OpenAI & Anthropic's compute bottleneck
14:05 The rise of AI FinOps
18:20 The future of enterprise AI

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