In 2024, many engineering teams bet that falling inference costs would let autonomous agents replace large portions of enterprise workflows. We assumed linear scaling. We were wrong — and the result was widespread AI Bill Shock. Here is what actually failed at scale, and the hardened patterns that work in production today.
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