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Key Takeaways
The AI market is moving from demos to deployment. In that world, trust is no longer a branding message. It is an engineering cost, a product constraint and a business-model variable.
Customers expect AI systems they use to be private, secure and robust — all of which come with additional costs to the business. I call this the “trust tax.”
Every AI founder watches cloud costs closely. You track GPU usage, training runs, inference costs and runway. You know how much each model experiment costs and how many months of funding are left.But many AI startups miss a major cost hiding in plain sight.I call it the Trust...