Why the Tech Industry Keeps Lying to Itself (and You)

Why the Tech Industry Keeps Lying to Itself (and You)

The tech industry is brilliant at building new things—and terrible at admitting when it gets them wrong. In this video, I break down why our predictions about cloud, AI, big data, blockchain, metaverse, and more so often miss reality by a mile. From wildly optimistic analyst forecasts (including early cloud growth predictions that were way off) to vendor-driven hype cycles, we've built a system that rewards confidence, not accuracy.

I walk through concrete examples where the narrative sounded irresistible, the slideware looked perfect, and the pilots seemed promising—but large enterprises never followed at scale. The core problem isn't intelligence or innovation; it's confirmation bias, misaligned incentives, and a complete underestimation of real-world constraints: legacy systems, budgets, regulation, skills, and risk.

You'll learn how to recognize the telltale signs of hype, how to separate "cool demo" from "sustainable value," and how to ask the uncomfortable questions that cut through the noise. Whether you're a CIO, architect, engineer, or business leader, my goal is simple: help you stop getting pushed around by tech narratives—and start making grounded, reality-based decisions.

If you're tired of being sold "the future" that never quite arrives, this video is for you.

Episoder(128)

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Will the Cloud Move to Space? Here's What Happens Next

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5 Unpopular Cloud Opinions (That Are Actually True)

5 Unpopular Cloud Opinions (That Are Actually True)

David Linthicum challenges the feel-good narratives that dominate cloud conversations and lays out five opinions that many teams avoid saying out loud. He argues that cloud repatriation is not a failu...

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The Slow Death of OpenAI: Nobody Wants to Admit This

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The 5 Fundamental Cloud Mistakes AWS, Microsoft, and Google are Making Today

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Cloud didn't fail—cloud providers did. AWS, Microsoft, and Google sold "simplicity," then normalized pricing that needs a spreadsheet degree, architectures that punish small mistakes, and service cata...

2 Mar 8min

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Hyperscalers Are Panicking: Neoclouds Are Taking Their AI Business

Neoclouds are a new wave of GPU-first cloud providers built specifically for AI training and inference, offering a focused alternative to hyperscalers like AWS, Azure, and Google Cloud. Instead of opt...

26 Feb 12min

AI Everywhere, Adoption Nowhere: Microsoft's Copilot Epic Fail

AI Everywhere, Adoption Nowhere: Microsoft's Copilot Epic Fail

Microsoft Copilot arrived as an AI layer across Windows, Microsoft 365, and cloud consoles, but many users experienced it less as a breakthrough and more as another interface demanding attention. In W...

24 Feb 14min

Crypto Cloud Mining Scams EXPOSED!

Crypto Cloud Mining Scams EXPOSED!

A surge in fraudulent cloud mining schemes is pulling in unsuspecting investors with promises of guaranteed, sky-high returns—claims that regulators stress are not just too good to be true, but techni...

23 Feb 11min

The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

The Executives Who Botched Cloud Should've Been Fired—So Why Are They Leading AI?

In this video, David Linthicum delivers a blunt critique of how large enterprises mishandled cloud adoption and are now repeating the same mistakes with AI. He explains that many IT leaders treated cl...

16 Feb 16min

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