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The Cost of Scaling GenAI—and the Search for Smarter Models

The Cost of Scaling GenAI—and the Search for Smarter Models

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Enterprises are rethinking their AI strategies. Instead of billion-dollar moonshots, they’re betting on micro transformations—smaller, high-value projects that deliver quick wins while laying the groundwork for governance, security, and scalable AI adoption.

In this episode, we unpack the realities of enterprise AI adoption: why so many projects fail, the challenges of scaling GenAI when costs rise instead of fall, and how industries like banking, manufacturing, and healthcare are finding ROI in targeted use cases.

We also explore the guardrails enterprises are building—compliance, auditability, and security—and the shift towards efficient models that could democratize AI. Plus, a sharp look at OpenAI’s expansion into consulting, browsers, and hardware—is it a competitive advantage or a dilution of focus?

This episode brings clarity to the noise, spotlighting what’s working, what’s failing, and where enterprise AI is headed next.
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