The Enterprise AI Show

Brian(@bgracely) and Brandon(@bwhicard) discuss the biggest AI news stories from the second half of September 2026.
Oracle sent a force majeure notice on a major data center build, which Brandon reads as an early signal worth tracking. If other companies follow, it would point to stress in AI infrastructure commitments, and if not, it is a one-off. Brian suggests the industry needs a "Jenga chart" of whose money is propping up whose, with the contractors who actually pour concrete at the base. On the wave of agent launches (Meta's Muse, OpenAI's dots, and OpenClaw Enterprise), they agree that giving everyone a cloud-hosted computer for their agent is a real step toward mainstream adoption. Brian says the unanswered questions are accountability when an agent errs, security controls that don't require dozens of settings, and how people decide what is important enough to keep for themselves. Brandon argues agents should step in at the moment of a task, like filling out a form, rather than needing constant delegation. They also note the move toward soft, cuddly agent branding and the lack of easy ways to share skills across people and teams. The show closes with Meta's hiring of MongoDB's CEO to lead its enterprise push, which Brandon expects to fail because consumer companies start at a deficit in enterprise.

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SHOW: 1068
SHOW TRANSCRIPT: The Enterprise AI Show #1068 Transcript
SHOW VIDEO: https://youtu.be/kaNik7LxV3s
SHOW LINKS:
https://theenterpriseaishow.com/

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We review the potential Anthropic IPO, in the context of revenue trajectory, expense trajectory and planned commitments, past and future funding rounds, future expanse commitments to large datacenter projects, and the strengths and weaknesses of the business in the current and potentially future political climates in the US and around the world. 
SHOW: 1067
SHOW TRANSCRIPT: The EntAIShow #1067 - The Anthropic IPO?
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SHOW LINKS
Strengths:
Brand awareness of Claude with software developers
Use-Case adoption for Enterprise workers (white-collar, software, research, etc.)
Depth and experience of Anthropic Frontier Labs (Model Building, Research, etc.)
Weaknesses
CEO who frequently scares the world with his proclamations about doom
Uncertainty about alignment to US government after 2026
Increasing annual losses against revenue
Security and safety concerns (Mythos)
Future commitments and long-term financials?

FEEDBACK?
Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
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FEEDBACK?
Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

We review the potential OpenAI IPO, in the context of revenue trajectory, expense trajectory and planned commitments, past and future funding rounds, future expanse commitments to large datacenter projects, and the strengths and weaknesses of the business in the current and potentially future political climates in the US and around the world. 
SHOW: 1066 
SHOW TRANSCRIPT: The Enterprise AI Show #1066
SHOW VIDEO: https://youtu.be/PkLSI2pRZs8
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FEEDBACK?
Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow
FEEDBACK?
Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
Twitter/X: @TheEntAIShow
Instagram: @TheEntAIShow

Aaron interviews Ivan Lee, founder and CEO of Datasaur, about what it takes to build private, secure AI for regulated enterprises. Lee traces the shift away from third-party model reliance to compliance pressure, IP protection, and cost, and frames the core decision as buy versus rent: enterprises historically rented frontier models by default, but Western and Chinese open-weight models have matured enough that companies like AT&T now run a growing share of workloads on owned infrastructure. He breaks the stack into three layers (infrastructure, model, and harness), argues models have become commoditized enough to be swapped like building materials, and calls the harness, the connective layer to internal data and tools, the least solved but highest-leverage piece. Lee describes agentic AI's shift from opt-in tools to opt-out, event-triggered workflows as the real 2025-2026 adoption unlock, while flagging FinOps trade-offs (agentic tasks can run 3 million tokens versus 2,000 for a chatbot query) and the custom benchmarking his team uses to earn CISO trust before production rollout.

SHOW: 1065 
SHOW TRANSCRIPT: The Enterprise AI Show #1065
SHOW VIDEO: https://youtu.be/PkLSI2pRZs8

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SHOW LINKS
Datasaur homepage
Ivan Lee on LinkedIn
Datasaur Launches Forge: AI Native Services to Deploy Private, Model-Agnostic AI Inside Regulated Enterprises
Datasaur's Private LLM overview

GUEST BIO
Ivan Lee is the founder and CEO of Datasaur, which builds private, model-agnostic AI agents that deploy entirely inside a regulated enterprise's own infrastructure. He previously built AI products at Yahoo and Apple after Yahoo acquired his first company, Loki Studios, and holds a computer science degree from Stanford. Datasaur's clients include a leading GSIB, federal agencies, and Am Law 100 firms, and its backers include Initialized Capital and OpenAI president Greg Brockman.

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Aaron and Brandon cover what the week's news means for enterprise buyers. They question whether Oracle's reported $664 billion backlog is durable demand or overlapping commitments, and Brandon argues contracted future spend is how enterprise business works. On the labs' "slow down" messaging, Brandon sees no coordination, only incentives, while Aaron finds the timing too coincidental. Salesforce's Nemotron-based model points to enterprises customizing open models instead of building their own, and Brandon doubts labs will displace systems of record like Workday or SAP. Aaron argues agent pricing has reverted to familiar free, bundled, and negotiated tiers. He sees agent swarms as research capability that most enterprises lack the trust and human-in-the-loop controls to run.

SHOW SPONSORS:
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SHOW: 1064
SHOW TRANSCRIPT: The Enterprise AI Show #1064 Transcript
SHOW VIDEO: https://youtu.be/hrfTovN3kMw
SHOW LINKS:
https://theenterpriseaishow.com/
FEEDBACK?
Email: show @ the enterprise ai show dot com
Bluesky: @TheEntAIShow.bsky.social
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