117. The AI Economics™ Experts React to What Enterprise Tech Isn’t Saying Out Loud - podcast episode cover

117. The AI Economics™ Experts React to What Enterprise Tech Isn’t Saying Out Loud

Jan 09, 202642 minEp. 117
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Episode description

AI is no longer a technology conversation, it’s an economic reckoning.

In this episode of TECHtonic, TSIA’s Thomas Lah is joined by J.B. Wood and George Humphrey to unpack the real-world implications of AI Economics through the headlines shaping enterprise tech right now. From Salesforce’s AI-driven job cuts to Adobe’s competitive pressure, Palantir’s services-led growth, and the collapse of traditional SaaS pricing models, this conversation makes one thing clear: the old rules of technology business models are breaking fast.

This isn’t academic theory. It’s a frontline analysis of how AI is reshaping profitability, pricing, org design, customer success, and competitive advantage, right now. The group challenges assumptions around per-user pricing, sales-led growth, and “free” professional services, arguing that outcome-based models, forward-deployed engineers, and value-centric customer engagement are becoming mandatory for survival.

If you’re a technology executive wondering how to grow profitably in an AI-first world, or whether your current model will survive the next 24 months, this episode lays out the uncomfortable truths and the strategic shifts you can’t afford to ignore.

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