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

You don’t need to be technical. Just informed.

• 1. 💳 Let your AI agents transact autonomously with Circle 
• 2. ⚡️Meta plans AI cloud to profit
• 3. 💼 Your Business Briefing
• 4. 🔐 Protect your personal data with Incogni
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin

Are you ready to launch AI transformation for your company?

TOGETHER WITH CIRCLE

The first financial stack built for agents.

The infrastructure AI agents need to hold funds, discover services, and pay autonomously, all built on USDC.

AI agents can write code, browse the web, and automate complex workflows. But when they need to pay for an API or premium service, autonomous workflows break down. They stop and wait for a human to sign up, enter a payment card, and approve the transaction.

Circle Agent Stack helps reduce those barriers.

Built on USDC, Circle Agent Stack gives agents the infrastructure they need to hold funds, discover services, and pay autonomously.

With Agent Wallets, developers define spending limits while agents transact independently. Agent Marketplace lets agents discover and pay for services in real time, without checkout flows or API keys. Nanopayments powered by Circle Gateway make transactions as small as $0.000001 practical, enabling pay-per-call and pay-per-token pricing.

Agents are evolving from assistants into economic actors. Purpose-built infrastructure lets them transact without breaking autonomous workflows, so they can keep working.

Latest in AI

Meta plans AI cloud to profit

🚨 Our Report

Meta is developing a cloud infrastructure business that would sell access to AI compute power and models. The move would put the company in direct competition with Amazon Web Services, Google Cloud, and Microsoft Azure as it seeks to monetize its massive data center investments.

🔓 Key Points

• The new business line, reportedly called Meta Compute, will be led by head of infrastructure Santosh Janardhan, Meta Superintelligence Labs leader Daniel Gross, and president Dina Powell McCormick.

• Meta may follow CoreWeave's model and sell "raw" compute capacity, while also considering selling access to various AI models, including its recently launched closed-weight model, Muse Spark, hosted on its infrastructure.

• The company has committed to spending $182.9 billion on AI infrastructure in the coming years, including massive ongoing projects in Louisiana and Ohio, with the Ohio facility expected to come online this year.

🔐 Relevance

Meta's cloud pivot follows SpaceX's similar move to sell off excess compute capacity, signaling a shift where the winners of the AI race may not be the ones providing the best models but rather the ones who own the data centers. For enterprise buyers, this adds another potential cloud vendor to consider, though it also raises questions about whether AI companies can generate enough end-user revenue to justify trillion-dollar infrastructure bets.

The AI Report Podcast

The Future of AI Must Be Open Source | Ajit Varma, Firefox

THE BUSINESS BRIEFING: LEGAL (powered by Upscaile)

Grupo Bimbo (multinational bakery, 100+ auditors across 39 countries) was losing days per audit cycle as teams manually searched SharePoint repositories for compliance guidance, often discovering they'd used outdated templates only after completing reports. They built two AI agents using Microsoft Copilot Studio, Audit Assist for real-time policy guidance and Comatrix for automated risk matrix generation, deployed through Microsoft Teams and connected directly to SharePoint documentation.

Tool used: Microsoft Copilot Studio -- AI agents that pull from centralized SharePoint repositories to deliver instant, policy-aligned audit guidance.

Result: 20% reduction in planning-phase audit time. Risk matrix creation dropped from two days to seconds. Quality assurance team freed from routine questions to focus on methodology improvements.

The lesson: Direct SharePoint integration eliminated the separate knowledge base problem. Every time the quality team updates a procedure, the agent automatically uses the latest version. No manual syncing required.

Steal this: Identify one compliance workflow where teams search multiple document repositories for guidance. Map the knowledge sources, then test whether your existing AI tools can connect directly to that repository. Start with read-only access and a single use case before expanding.

TOGETHER WITH INCOGNI

Remove your personal data from Google search results

Your phone number, address, DOB, even your SSN can show up in a Google search. Marketers buy it, scammers exploit it, and in the worst cases, it ends up for sale on the dark web.

Incogni Unlimited helps you take control. Our privacy agents hunt down and remove your personal data from an unlimited number of sites. With automation across 420+ broker types—including People Search platforms and private databases—Incogni erases your information where others can’t reach.

Protect your identity before it’s too late. Use code AIREPORT for an exclusive 55% discount on unlimited removals.

THE POLICY CORNER

Australia strengthens social media ban for under-16s after regulator flags enforcement gaps.

The federal government is prioritizing tougher measures to enforce its world-first social media age restriction, which went into effect in December. Platforms including Instagram, TikTok, Snapchat, and YouTube must block users under 16 or face fines up to $49.5 million. Prime Minister Albanese confirmed new legislation is coming after eSafety Commissioner Julie Inman Grant warned her current enforcement powers have "very thin scaffolding." The government is also developing a digital duty of care that would require platforms to proactively manage algorithmic harms.

Deadline: Existing ban in effect now. Strengthened legislation expected as a government priority this session.

Risk: No fines issued yet despite documented non-compliance, but the regulatory ratchet is tightening. Companies operating in Australia face escalating liability as enforcement powers expand.

Your move: The eSafety Commission has already forced three AI "nudify" services offline and removed 4.7 million underage accounts. Assume similar scrutiny is coming for any platform without robust age assurance.

AI News

• 🚀 SpaceX shows investors AI device prototype: Elon Musk's rocket company revealed a handset-like device slimmer than an iPhone to stakeholders ahead of its mega IPO, signaling a push to reshape human-AI interaction. FULL STORY

• 🍎 Gemini Spark launches on Mac: Google's agentic assistant now works with local files, integrates with Keep, Tasks, and third-party apps like Instacart and OpenTable, and adds real-time topic tracking for AI Ultra subscribers. FULL STORY

• 🏢 Travelers builds proprietary insurance LLM: The P&C insurer trained TravelersLLM on millions of company documents, claiming it outperforms commercial models on insurance questions at lower cost and greater speed. FULL STORY

• 🛡️ Cloudflare to block mixed-use AI crawlers by default: Starting September 15, sites with ads will automatically block crawlers that blend search, agent use, and training unless owners opt in, pressuring AI companies to pay for content. FULL STORY

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The Money: Industrial AI consolidation accelerates

AI infrastructure deals are pivoting from compute to operational intelligence. Two of this week's largest transactions targeted companies that contextualize industrial data, not those that build models. As hyperscalers saturate the foundation model layer, investors are backing software that makes legacy operational systems AI-ready.

Deals to know:

• Cognite (Acquisition, $3.1B) -- Norwegian industrial AI platform acquired by Schneider Electric in Norway's largest software exit. Cloud-native data foundation with knowledge graph integrates into AVEVA's industrial software stack. Generated $170M revenue in 2025 with 36% ARR growth. Acquirer: Schneider Electric

• Together AI (Series C, $800M at $8.3B valuation) -- AI neocloud renting Nvidia GPU clusters hit $1.15B annual bookings as enterprises shift to open-source models. Usage tripled year-over-year. Investors: Aramco Ventures (lead), Vista Equity Partners, General Catalyst, Nvidia, Emergence Capital

Signal: Smart money betting AI's next constraint isn't model quality, it's operational integration. Companies contextualizing decades of industrial data for AI application command premium valuations as enterprises move from pilots to production.

Refer a Friend

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Until next time, Arturo and Liam.

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