The Enterprise AI Show

Massive Studios

The Enterprise AI Show explores the AI journey for Enterprise companies around the world.  [formerly The Cloudcast]  As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI. New shows every Wednesday and Sunday.  Topics: Enterprise AI strategy · The AI Economy ·  LLMs in production · AI leadership · Agentic AI ·  Digital Sovereignty · Machine Learning · AI startups ·  Cloud Computing 

  1. 5 hr ago

    Own Your Weights or Rent Them?

    SUMMARY: Brandon and Aaron discuss the pros and cons of owning or renting your model weights. What does that mean for the Enterprise, and what should you be considering? SHOW: 1055 SHOW TRANSCRIPT: The Enterprise AI Show #1055 Transcript SHOW VIDEO: https://youtu.be/uc0GZBLgUeo SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: Own Your Weights or Rent Them? Why now? Alex Karp had a spicy CNBC segment arguing enterprises should "own their weights" rather than rent models from the big labs — sparking a widely-shared response from Jamin Ball on Clouded Judgement. SubstackPast: Same shape as the "own vs. rent" debate the industry has had before — on-prem vs. SaaS, buy vs. build for ERP/CRM — just replayed one layer down, at the model layer instead of the app layer.Present: A weight file is really just a frozen snapshot that degrades in relative terms as frontier models keep improving — what actually matters is owning the RL/training loop that keeps producing better weights, not the weights themselves. A model RL'd against a company's actual workflows can beat a frontier generalist model on that one task, and do it far more cheaply — but that leaves enterprises managing a sprawl of task-specific models that all need governing, versioning, and securing.Future: Ball frames it as a stated-preference vs. revealed-preference problem — everyone says they want model sovereignty, but the spend data shows enterprises keep writing bigger checks to the frontier labs every quarter because most don't have the talent or infra to run the loop. Where's the market for a company that closes that gap — makes "owning the loop" accessible without the complexity tax? Tie back to your Show #4 (off-the-shelf AI, harnesses) — this is basically that debate's sequel, one layer deeper. (Aaron’s hot take, and another episode: maybe it’s not about the weights at all…)FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  2. 2 days ago

    Will OSS Models Take Over?

    SUMMARY: This episode is the second part and explores the flip side of OSS models. Last episode, we discussed the potential decline; this episode, we’ll talk about the potential positive future of OSS models. Aaron and Brandon explore the future of open source AI models, the role of industry consortia, and how major tech companies like NVIDIA, Apple, and Google are shaping the AI landscape. They discuss the potential for open models to become industry standards and the strategic motivations behind these moves. SHOW: 1054 SHOW TRANSCRIPT: The Enterprise AI Show #1054 Transcript SHOW VIDEO: https://youtu.be/w238Y1ZKG1Q SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: Are we seeing the end of OSS models? Why now? NVIDIA Open Secure AI Alliance (all except Anthropic joined) & Linux Foundation is managing proposalsPast: OSS runs the world…  Up until now, there hasn’t been an overarching “AI Model” project managed by the CNCF or Linux Foundation that has gained any tractionPresent: As model sizes increase, who pays for training? I think the DB market is the closest parallel here, and it's also where the most OSS rug pulls have happened in the past. Is this history repeating itself, but also a lesson learned because so many DB companies got burned?Future: Someone will have to donate a trillion+ parameter model to a foundation. My bet is NVIDIA will eventually drive this through Nemotron; it makes the most sense, and they have the most to lose if OpenAI and Anthropic take over and also eventually use their own chips.FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  3. 12 Aug

    Are We Seeing The End Of OSS Models?

    SUMMARY: In this episode, Aaron and Brandon explore the potential decline of open-source models in AI, discussing market trends, financial challenges, and the future of OSS in the AI landscape. SHOW: 1053 SHOW TRANSCRIPT: The Enterprise AI Show #1053 Transcript SHOW VIDEO: https://youtu.be/-9iwoC5-muE SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: Are we seeing the end of OSS models? Why now? The trend towards fewer and fewer Apache models on the high end.Past: The OSS “rug pull” joke comes to mind: HashiCorp, MongoDB, Redis, Elastic  Present: Governments might jump in: The US Government with Mythos and GPT. Rumors are that China might start to restrict their high-end. Companies:Kimi K3 as an example, 100M users or 20M in revenue. Others that used to be Apache are now closedFuture: Maybe something like a Modified MIT license will likely be the future, as the models now cost millions to produce and the shelf life is measured in weeks to monthsFEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  4. 9 Aug

    The Zitron Bear Case: What's Right, What's Wrong?

    SUMMARY: In this episode, Aaron and Brandon tackle the provocative critiques of AI by Ed Zitron, a vocal opponent in the tech industry. They delve into the bear case against AI, exploring both the merits and flaws of Zitron's views. SHOW: 1052 SHOW TRANSCRIPT: The Enterprise AI Show #1052 Transcript SHOW VIDEO: https://youtu.be/Fm3T5bT_8CQ SHOW SPONSORS: Nasuni - Activate your data for AI and request a demo Topic: The Zitron Bear Case — What's Right, What's Wrong? Why now? Ed Zitron went on CNBC's Squawk on the Street to lay out his bear case against OpenAI and Anthropic, covering questionable finances, AI's lack of ROI, and framing the whole thing as a symptom of the tech industry running out of hypergrowth ideas. CNBCXPast: Every hype cycle gets its designated skeptic — dot-com had its shorts, cloud had its "just a fad" crowd, crypto had its own chorus. Zitron's been running this playbook since the early ZIRP-era "subprime AI crisis" pieces.Present: Zitron's specific claims — OpenAI's burn rate math, the "nobody's making money on inference" argument, the case that Anthropic and OpenAI shouldn't be allowed to IPO with the numbers they'd have to report — stack up against actual usage/revenue data Brian and Aaron are seeing in the market. YouTubeFuture: If Zitron's right about the economics, what's the unwind look like? If he's wrong, what is he missing about where value actually accrues (infra, tooling, harnesses vs. raw model access)?FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  5. 5 Aug

    Do You Even Need That Trillion-Parameter Model?

    SUMMARY: We continue our Models and Money series. In this episode, Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions. SHOW: 1051 SHOW TRANSCRIPT: The Enterprise AI Show #1051 Transcript SHOW VIDEO: https://youtu.be/tkJmeazn8Bs SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoTopic: When will the models/harnesses be good enough? Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter modelPast: The “wow” moments in versions really stopped around GPT4… (maybe?)Present: Race to the top/bottom, millions spent to gain SOTA for a few daysFuture: Will the pendulum swing back? Will bigger/faster always rule?FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  6. 2 Aug

    AI News of the Month - July 2026

    SUMMARY:  Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard) discuss the biggest AI news stories from the month of July 2026.  SHOW: 1050 SHOW TRANSCRIPT: The Enterprise AI Show #1050 Transcript SHOW VIDEO: https://youtu.be/9u-uAaQVjXk SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoSHOW NOTES: Links to all the AI News covered in this month’s showFEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  7. 29 Jul

    How AI Stacks are rewriting the Rules of Business

    SUMMARY: Brian speaks with Dave Vellante, Co-Founder/CEO theCUBE, about how AI is changing the entire tech stack, the evolution of systems of intelligence, and how the competitive landscape is forcing companies to make difficult decisions about their AI future. SHOW: 1049 SHOW TRANSCRIPT: The Enterprise AI Show #1049 Transcript SHOW VIDEO: https://youtu.be/EgIvsBnZnmg SHOW SPONSORS: Nasuni - Activate your data for AI and request a demoShareGate - ShareGate Protect. Microsoft 365 Governance, we got this! SHOW NOTES: How AI Stacks are rewriting the Rules of Business Topic 1 - The new technology stacks being driven by AI. Where is intelligence being built and distributed?  Topic 1a - Where is value in the stack being created and commoditized? Topic 1b - Where do you see powerful software ecosystems defending themselves and where are they most vulnerable because of AI? Topic 2 - Alex Karp’s thesis that the harness will generate more value than the models, and owning and managing the harness is a path to enable companies to better control their AI future.  Topic 3 - Is AMD potentially cracking NVIDIA’s monopoly on AI accelerators?  FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

  8. 26 Jul

    When Will the Models be Good Enough?

    SUMMARY: Brian and Aaron explore the current state and future of AI models, focusing on model size, model harnessing, and intelligent model routing. They discuss whether bigger models are always better, the economics of AI, and how enterprise applications can benefit from tailored AI solutions. SHOW: 1048 SHOW TRANSCRIPT: The Enterprise AI Show #1048 Transcript SHOW VIDEO: https://youtu.be/1IHXNrYlYCA SHOW SPONSORS: ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!Nasuni - Activate your data for AI and request a demoTopic: When will the models/harnesses be good enough? Why now? Benchmark Maxxing - cost to build/host/maintain 1+ trillion parameter modelPast: The “wow” moments in versions really stopped around GPT4… (maybe?)Present: Race to the top/bottom, millions spent to gain SOTA for a few daysFuture: Will the pendulum swing back? Will bigger/faster always rule?FEEDBACK? Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

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About

The Enterprise AI Show explores the AI journey for Enterprise companies around the world.  [formerly The Cloudcast]  As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI. New shows every Wednesday and Sunday.  Topics: Enterprise AI strategy · The AI Economy ·  LLMs in production · AI leadership · Agentic AI ·  Digital Sovereignty · Machine Learning · AI startups ·  Cloud Computing 

Information

  • Creator
    Massive Studios
  • Years Active
    2011 - 2026
  • Episodes
    1.1k
  • Rating
    Clean
  • Copyright
    © 2026 Massive Studios
  • Show Website
    The Enterprise AI Show

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