Your AI “cost savings” mindset is already obsolete

Most investment teams still treat AI like it’s expensive. They ration prompts. They limit use cases. They run cost-benefit analyses before every implementation.

This is exactly backward.

The cost of frontier-level AI analysis is dropping 10x every 12 months. That’s faster than Moore’s Law ever was.

Here’s what that means: If you design your research process assuming AI is scarce, you’re making the same mistake as someone in 2000 who designed systems assuming “storage is expensive.”

A few years later, that assumption was worthless.

The firms that win won’t be asking “How can we afford to run this analysis?”

They’ll be asking “What new analysis is now possible that wasn’t before?”

The bottleneck has already shifted. Intelligence is becoming abundant. Attention and judgment are what’s scarce.

Is your process ready?

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