In this episode, Stephen Forte examines the pivotal moment when AI stopped chasing consumers and came for enterprise. Two major stories define the shift:

• OpenAI kills Sora — The video generation app that hit #1 on the App Store is gone. Fidji Simo called consumer products "side quests" as OpenAI redirects compute toward Codex and enterprise tooling, burning $14B/year with an IPO on the horizon.
• Anthropic's enterprise dominance — Ramp data shows Anthropic now captures 73% of first-time enterprise AI spend. Claude Code hit a $2.5B annualized run-rate, doubling since January. Margins swung from -94% to +40%.
• Claude Cowork launches — Full computer use: mouse, keyboard, screen control. The Dispatch feature lets you assign tasks from your phone and walk away. 80% reliable on simple tasks today, with rapid improvement expected.

Key insight: The total addressable market for AI shifted from IT budgets to payroll. Companies that treat AI like an employee — with clear instructions, defined scope, and work review — will capture this market.

Action item: Pick one routine workflow this week and assign it to an AI agent the way you'd assign it to a new hire.

Hosted by Stephen Forte.

Your competitor's AI and your AI use the same brain. That's about to change. In this episode, Stephen Forte unpacks Mistral Forge, the new platform that lets enterprises train custom AI models on their own proprietary data — and why the future of competitive advantage may not be your data, but the model you build on it.

• The AI customization spectrum: Off-the-shelf → RAG → fine-tuning → custom training, and why most companies conflate the levels
• What Mistral Forge is: A full-lifecycle training platform using Mistral's own production recipes — pre-training, RLHF, synthetic data, MoE architectures, agent-first design
• Who's using it: ASML, Ericsson, European Space Agency, DSO Singapore
• What it costs today: $160K–$1M+ for implementation, $500K–$5M for a meaningfully custom model. But enterprises report $1M–$50M/year in savings
• Cost trajectory: Infrastructure costs dropped 280-fold. Inference declining 10x annually. Today's $1M could be $100K in 2–3 years
• The competitive moat: A model that reasons like your best people vs. one that looks things up. That gap compounds over time
• The Westlaw analogy: Two firms, same database — but one trained a model on every case they've ever argued

Sources: Mistral AI, TechCrunch, CIO.com, Forbes, BCG, Galileo AI, Counterpoint Research, AeoLogic Technologies

MCP — Model Context Protocol — went from zero to industry standard in twelve months. In this episode, Stephen Forte breaks down what MCP actually is, how it works, and why it matters for every executive running a company with enterprise software.

1. What MCP is: An open standard released by Anthropic that lets any AI agent connect to any tool or data source — the "USB port of AI"
2. The math: BCG found integration complexity rises quadratically without a standard. MCP makes it linear — fundamentally different economics for AI deployment
3. Adoption numbers: 97 million monthly SDK downloads, 10,000+ MCP servers in production, adopted by OpenAI, Google, Microsoft, and donated to the Linux Foundation
4. March 2026 acceleration: People.ai launched MCP for CRM data, Google Chrome previewed WebMCP, Microsoft integrating MCP into SAP/ServiceNow/Salesforce
5. Why executives care: MCP means AI vendor independence — your data connections persist even when you swap AI models
6. Security: Only 24% of organizations have visibility into AI agent communications. Governance is essential from day one

Sources: Anthropic, BCG, CIO.com, InformationWeek, People.ai, Google Chrome, Linux Foundation, Gartner, Gravitee Survey

Replit just raised $400 million at a $9 billion valuation, tripling in six months. But the real story is what it represents: the end of the buy the giant platform era in enterprise software.

In this episode, Stephen Forte goes deep on why companies are shifting from monolithic SaaS platforms to constellations of bespoke micro-apps built by the people closest to the problem.

1. Replit by the numbers: From $2.8M to $150M ARR in under two years. Targeting $1B ARR by end of 2026. Users inside 85% of the Fortune 500.
2. Rokt: 700 employees built 135 production applications in 24 hours. Now running financial close, legal tracking, and 30,000+ annual operational tasks.
3. UKG: 400% increase in customer-driven feedback before engineering investment.
4. DoorDash: 40+ custom operational tools, estimated $6M in savings vs. off-the-shelf.
5. ClickUp: Six AI-powered tools connected to Salesforce, Zendesk, and Snowflake. $200K/year saved.

The thesis: systems of record like Salesforce and SAP persist as the data layer. But the interface and automation layer is being rebuilt with bespoke tools in an afternoon.

Hosted by Stephen Forte

The Wild West of AI regulation just ended. The White House dropped a comprehensive national AI framework that preempts state laws and makes one thing crystal clear: if your AI agent discriminates, hallucinates, or violates privacy, you are liable -- not the vendor. In this episode, Stephen Forte breaks down three stories every CEO needs to understand before Monday morning: 1. The Federal Preemption Play -- One national standard replaces 50 state laws. Existing agencies (EEOC, FTC, DOL) will enforce existing laws on AI systems. The target is not AI companies -- it is every company that uses AI. 2. The Global Governance Groundswell -- The UN kicked off a Global Dialogue on AI Governance. These international standards will trickle into vendor contracts and cross-border compliance faster than you think. Think GDPR, but for AI. 3. The Workforce Reckoning -- The Department of Labor is targeting AI used for hiring, firing, and employee monitoring. If your AI tool ranks employees or screens resumes, existing civil rights and labor laws apply right now. Each story includes a concrete Monday morning action item for companies with 30 to 300 employees. Links and references: - White House National AI Action Plan: https://www.whitehouse.gov/ostp/ai-action-plan/ - UN Global Dialogue on AI Governance: https://www.un.org/ai-advisory-body - EEOC Guidance on AI in Employment: https://www.eeoc.gov/ai Hosted by Stephen Forte. Produced by BuildClub (buildclub.com).

This is a special weekend edition examining the growing gap between AI adoption speed and AI security readiness. Four stories that reveal why your AI stack may be more exposed than you think — and what to do about it.

1. Critical Vulnerabilities in Amazon Bedrock, LangSmith, and SGLang: Security researchers discovered flaws that could expose training data, API keys, and allow remote code execution in widely-used AI platforms.
2. The Visibility Gap: A new report shows 67% of security leaders cannot see their own AI-related vulnerabilities, while AI-powered attacks have increased 300% year-over-year.
3. NVIDIA OpenShell: Released at GTC 2026, this open-source runtime sandboxes autonomous AI agents with kernel-level isolation and policy enforcement that the agent itself cannot override.
4. GSA AI Procurement Rules: The federal government proposed sweeping new rules requiring "American AI Systems" and granting broad data and IP rights over contractor AI tools.

The episode closes with five concrete security actions any company can take this week.

Produced by BuildClub. Learn more at buildclub.com.

Three major AI platforms shipped features this week that let non-technical people do things that required engineers last month. Here is what they are, what they do, and how to use them Monday morning.

Each segment includes a concrete Monday morning assignment your team can execute immediately.

Produced by BuildClub. Learn more at buildclub.com.

The conflicting AI ROI headlines are both correct — they are measuring two entirely different things. This episode breaks down why companies deploying agentic AI are averaging 171% ROI while others report zero return, and why Microsoft's 2026 product roadmap is about to make the second half of this year the most consequential period for enterprise AI adoption.

What we cover:

The question for your business: Ask your technology lead two things. Are we measuring AI outcomes at the workflow level, not just the tool level? And as Microsoft's agentic features ship this year, do we have the data governance in place to capture the returns before competitors do?

The AI Executive Brief is published daily by BuildClub. Learn more at buildclub.com. Subscribe wherever you get your podcasts.

Nvidia annual GTC developer conference just wrapped, and Jensen Huang used it to announce that the AI infrastructure market will generate one trillion dollars between 2025 and 2027.

What we cover:

• Blackwell Ultra and the Feynman chip roadmap
• NemoClaw — Nvidia open-source agentic AI framework and why free software that sells chips is the most efficient go-to-market in enterprise tech history
• The Groq acquisition
• Robotics and physical AI — Isaac GR00T N1.5
• Enterprise partnerships — Adobe, Salesforce, SAP, ServiceNow

The question for your business: Ask your technology lead two things. Are we experimenting with NemoClaw or any agentic frameworks? And as we deploy more autonomous agents, how does our compute cost scale?

The AI Executive Brief is published daily. Subscribe wherever you get your podcasts.

When Your Rival Becomes Your Engine — March 17, 2026 Three stories about how the AI platform wars are collapsing traditional competitive boundaries — and what it means for the companies running on these platforms. Stories Covered: 1. Microsoft Copilot Cowork / Anthropic Partnership — Microsoft launched Copilot Cowork built on Anthropic's Claude technology, bundling it into a new $99/user Frontier Suite. Copilot paid seats are growing 160% year over year, and 90% of the Fortune 500 now use Copilot. Sources: Axios (https://www.axios.com/2026/03/09/microsoft-copilot-cowork-anthropic), Microsoft Blog (https://www.microsoft.com/en-us/microsoft-365/blog/2026/03/09/powering-frontier-transformation-with-copilot-and-agents/) 2. Claude Marketplace Launch — Anthropic launched an enterprise app store where third-party tool spend counts against existing commitments, with no commission at launch. Partners include GitLab, Harvey, Lovable, Replit, Rogo, and Snowflake. Anthropic's enterprise market share has grown to 40%. Sources: VentureBeat (https://venturebeat.com/technology/anthropic-launches-claude-marketplace-giving-enterprises-access-to-claude), Futurum Group (https://futurumgroup.com/insights/claude-marketplace-tests-whether-anthropic-can-win-the-procurement-heart/) 3. NVIDIA NemoClaw Agent Platform — NVIDIA is launching an open-source platform for enterprise AI agents at GTC 2026, alongside Nemotron 3 Super (120B parameters, #1 on DeepResearch Bench). The agentic AI market is projected to hit $28 billion by 2027. Sources: Wired (https://www.wired.com/story/nvidia-planning-ai-agent-platform-launch-open-source/), NVIDIA Blog (https://blogs.nvidia.com/blog/nemotron-3-super-agentic-ai/) Key Stats: - $285 billion wiped off software stocks when Claude Cowork launched - Copilot paid seats growing 160% YoY - Anthropic enterprise share: 40% (up from 4% a year ago) - Anthropic projected revenue: $20 billion (doubled from $9B in late 2025) - IDC predicts 1.3 billion AI agents by 2028 Hosted by Stephen Forte Founder, BuildClub (buildclub.com)