Dave Is Not AI

About Dave Is Not AI

Welcome to "Dave is not AI." I'm David Linthicum, and I take a skeptical look at the exploding AI marketplace. Forget the hype. We explore the true reality behind AI technology, its capabilities, and its limitations. Discover why enterprises and humans are struggling with AI today, and gain expert insights on how to best navigate a future where AI is everywhere. Join me for grounded, unbiased analysis to master the AI landscape. Because while AI might be the buzzword, clear understanding is your best strategy. Subscribe now for the real AI story.

Publisher

David Linthicum

Category

society & culture · technology

Language

en

Explicit

No

First episode

28 Jun 2025

Latest episode

9 Oct 2026

Latest episodes

88 episodes in the feed.

1. 

   9 Oct 2026

   Consulting Firms Are Wrong About Agentic AI

   Agentic AI is being sold as the next inevitable enterprise architecture — autonomous agents, frontier models, orchestration layers, and massive transformation programs. But before companies rush into another expensive consulting-led technology cycle, they need to ask a much harder question: do they actually need agentic AI, or AI at all? In this video, David Linthicum challenges the assumptions behind the major consulting reports and argues that many of them are pushing a vendor-friendly vision rather than an engineering-first reality. The real future of agentic AI will not be giant, remotely hosted, multi-agent meshes tied to expensive frontier LLMs. It will be smaller, simpler, distributed agents designed for narrow business functions, often running close to the data they need. These agents will be cheaper, faster, easier to test, easier to govern, and better aligned with how enterprises actually operate. Some use cases will still justify frontier models, but most will not. This is not an anti-AI argument. It is an anti-waste argument. If companies skip the need test, cost model, architecture discipline, and operational reality, they will not get transformation — they will get another overfunded science project dressed up as strategy.

2. 

   2 Oct 2026

   NeoClouds Explained in 8 Minutes

   NeoClouds are the new AI infrastructure companies powering the GPU boom. While most people focus on AI models, the real fight is over compute: GPUs, data centers, power, cooling, networking, training, and inference. This video explains the NeoCloud market through four simple groups: full-stack AI infrastructure clouds, developer GPU clouds, inference-first AI clouds, and data-center capacity players. We'll cover names like CoreWeave, Nebius, Lambda, Crusoe, Nscale, Fluidstack, Vultr, Runpod, Civo, Together AI, Groq, Voltage Park, Applied Digital, Core Scientific, and GMI Cloud. The key idea: NeoClouds are not just GPU rental companies. Some want to become the AWS of AI. Others focus on fast inference, easy GPU access, or building the physical data centers behind AI. As AI demand grows, the winners may be the companies that control the compute layer underneath every major model.

3. 

   1 Oct 2026

   Why 300K Learners Are Racing to Understand Agentic AI

   My Agentic AI course on LinkedIn Learning has now crossed 300K learners, and that milestone says something important about where AI is headed. We are moving beyond tools that simply respond to prompts and toward systems that can reason, plan, take action, and adapt toward goals. Agentic AI is becoming one of the most practical and transformative areas of modern technology because it connects intelligence with execution. In this course, learners get a clear foundation in what AI agents are, how they are structured, and how they can be applied across real workflows, products, and industries. The goal is to make agentic AI understandable, useful, and actionable for developers, technologists, business leaders, and anyone preparing for the next wave of AI innovation. Reaching 300K learners shows that this is no longer a niche topic. People are actively trying to understand how autonomous AI systems will change work, software, automation, and decision-making. If you want to understand the shift from generative AI to goal-driven AI agents, this course is a strong place to start and a timely resource for building future-ready AI knowledge. It is also a reminder that practical AI education matters when technology is changing this quickly right now.

Reach and audience

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Apple Podcasts (US)

5.0 / 5

2 ratings

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