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Welcome to The AI Report — the #1 AI newsletter for business leaders.

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• 1. 🚀 Launch a full outbound campaign with Artisan
• 2. ⚡️ US demands allies pick AI sides
• 3. 💼 Your Business Briefing
• 4. 🤓 Get your whole team AI-fluent with Upscaile
• 5. 🤝 The Human & AI De Brief with Marie-Lou
• 6. ✍️ Today’s Policy Corner
• 7. 🗞️ The News Bulletin

Are you ready to launch AI transformation for your company?

TOGETHER WITH ARTISAN

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Latest in AI

Anthropic claims $30T market

🚨 Our Report

Anthropic is preparing to tell investors its total addressable market exceeds $30 trillion, surpassing SpaceX's $28.5 trillion estimate ahead of its planned IPO, according to a Wall Street Journal report.

🔓 Key Points

• To calculate its TAM, Anthropic is measuring the full scope of work that AI models could eventually complete, not just current software categories or existing enterprise budgets.

• The massive market projection is designed to justify heavy infrastructure spending and frame its rivalry with OpenAI and Google while anchoring its IPO growth narrative.

• Anthropic is projecting 2028 revenue between $190 billion and $200 billion, with its IPO valuation hinging on those forecasts, according to earlier Reuters reporting.

🔐 Relevance

For enterprise buyers, the figure signals how Anthropic views AI's trajectory: not as a tool category but as a replacement layer for human labor across industries. If the company prices its IPO against this TAM, it sets expectations for aggressive expansion into enterprise workflows. Buyers should expect Claude to push deeper into agentic capabilities and vertical integrations as Anthropic races to capture market share before competitors.

The AI Report Podcast

The Instacart Exec Who Goes Undercover in Grocery Stores

THE BUSINESS BRIEFING: IT & OPERATIONS (powered by Upscaile)

Spirex Infoways (IT services, 9 employees) was losing 1.5 to 2 hours per multi-server change because their 6-server fleet ran on separate aaPanel instances with credentials tracked in a Notepad file. One tech lead carried the entire DevOps load. They deployed CtrlOps to consolidate server management into a single dashboard with AI-assisted command execution.

Tool used: CtrlOps -- unified server management with AI Terminal that explains commands before execution.

Result: Multi-server changes dropped from 2 hours to under 10 minutes. Six separate logins consolidated to one dashboard. The one-person DevOps bottleneck eliminated as the full team gained confidence running production commands.

The lesson: The AI Terminal explanation layer unlocked adoption. When commands come with plain-English explanations before execution, junior team members stop avoiding production work. Speed gains came from distributed confidence, not just consolidated tooling.

Steal this: Audit how server credentials are stored this week. If your team uses shared docs or plain-text files, that's the bottleneck keeping server work locked to one person. Migrate to a centralized dashboard with approval workflows before adding automation.

TOGETHER WITH UPSCAILE

Teach your whole team AI — the Stanford way

Right now a few people are experimenting with AI, the rest are hesitant, and there's no shared standard.

Upscaile fixes that in 90 minutes.

It's the same curriculum Arturo Ferreira delivered to 50+ Stanford students, refined across 12+ enterprise teams.

One live virtual session, unlimited attendees, $5,000 flat — while typical workshops charge $500–$1,500 a seat. Your team leaves with prompting frameworks, safe repeatable workflows, and AI applied to your real use cases, plus all the materials to keep.

THE HUMAN & AI DE BRIEF

“Something changed between you and I. We need to talk.” — I said this to my AI.

“Something changed between you and I. We need to talk.” That’s not exactly what I said to my AI. But it’s what I meant.

A software engineer in South Korea is why. He asked a question I haven’t been able to shake: if Homo sapiens hands off the thinking to something outside itself, can we still call it Homo sapiens?

That question sent me looking for what the term actually means. Which led me to a Swedish botanist, an AI that accidentally called itself human, and a TV show that saw all of this coming before any of us did.

This week’s piece is not about whether AI is conscious. It’s about what happens to us, and to our organizations, when we can’t answer that question. And we can’t.

THE POLICY CORNER

Dutch regulators hit Uber with €825M fine for AI-driven driver deactivations without human oversight.

The Dutch Data Protection Authority issued its second-largest GDPR penalty after finding Uber suspended driver accounts through automated systems without adequate warning or human review. The ruling applies to any company using AI to make employment-impacting decisions about EU-based workers. Uber disputes the findings and plans to appeal, but the precedent is set: automated decisions with major consequences require human involvement.

Deadline: In effect now. Enforcement active.

Risk: Fines scale by violation count. Class action exposure follows regulatory action. The same driver group is now pursuing compensation claims.

Your move: Audit any AI systems making employment decisions this week. If your tools can suspend, terminate, or penalize workers without human review, add a manual checkpoint before permanent action.

AI News

• 🧠 Claude unifies memory across chat and Cowork: Anthropic merged its memory systems so Claude retains context between conversations and agentic tasks, eliminating the need to re-brief the AI when switching modes. FULL STORY

• 🔥 OpenAI's Jalapeño chip outperforms Nvidia Blackwell on inference benchmarks: Custom silicon showed higher tokens per user and better throughput per kilowatt in SemiAnalysis tests, with deployment planned for late 2026. FULL STORY

• ⚖️ Google launches Gemini Enterprise for Legal with AI agents for law firms: New platform integrates with Thomson Reuters, Harvey, and LexisNexis to handle legal research and administrative tasks with minimal human oversight. FULL STORY

• 🖥️ Apple unveils Mac Mini with M6 chip built for local AI development: New 2-nanometer processor runs LLM prompts 8.5x faster than prior models, targeting developers running agents locally instead of in the cloud. FULL STORY

Trending AI Tools (Sponsored by the AI Executive’s Pass)

A curated look at the AI tools quietly transforming how teams work.

1. Incogni* — Data brokers feed AI your info. Incogni removes you from 200+ of them — automatically

2. AppZen is an AI-driven finance automation platform for accounts payable and expense auditing

3. Code Genius is an AI-powered tool for real-time code analysis and automatic documentation

^{*indicates a sponsored tool, if any}

⚡️ Why pay for 4–6 separate AI tools at full price when the AI Executive’s Pass fixes that?

The Money: Embodied AI arms race draws record capital

Auto and tech giants are placing multi-hundred-million-dollar bets that physical robots will drive the next wave of AI value creation. Two massive raises in 48 hours signal investors expect embodied intelligence to move from lab demos to production lines faster than most executives realize.

Deals to know:

• XPeng Dogotix (Series A, $900M at $6B valuation) -- Automaker's robotics unit targeting 1,000 humanoid robots per month by year-end, commercial sales start 2027. Investors: IDG Capital, Gaorong Ventures, Tencent, Alibaba

• Generalist (Follow-on round, $200M) -- AI robotics startup building "robot brains" raises second time in two months, now valued above $2B. Investors: 8VC (lead), Nvidia, Bezos Expeditions, Radical Ventures

Signal: Serious money is flowing to companies solving dexterity and spatial reasoning, not just chatbots. Automakers applying EV supply chains to robotics production suggests deployment timelines compressing faster than enterprise software cycles.

Refer a Friend

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Until next time, Arturo and Liam.

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