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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. 🧑‍💻 Get good at GEO with Adobe
• 2. ⚡️ Micron bets in $10B in AI memory lab
• 3. 💼 Your Business Briefing
• 4. 🫡 Reclaim your privacy with Incogni
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin

Are you ready to launch AI transformation for your company?

TOGETHER WITH ADOBE

How to Boost Brand Visibility in AI Search Engines

As search shifts to conversational answers, Generative Engine Optimization (GEO) is essential for LLM visibility.

Before diving in, it’s worth knowing what can get in the way. Common pitfalls include treating GEO as an SEO side project, missing crawler behavior, overlooking rich pages, relying on generic AI content, and failing to connect visibility to revenue.

Avoiding those pitfalls is only part of the equation. Next comes a systematic approach:

The 7-Step GEO Framework:

1. Audit Footprint: Test 20–50 buyer prompts.

2. Structure Content: Use answer-first, modular paragraphs.

3. Build Entity Authority: Connect topics with descriptive links.

4. Earn Citations: Target high-trust publications.

5. Expand FAQs: Answer natural-language queries.

6. Engage Communities: Build trust across forums like Reddit.

7. Tie to Revenue: Connect citations and share of voice to pipeline.

Bottom Line: Treat GEO as a structured strategy to make AI search a growth channel.

Latest in AI

Micron bets in $10B in AI memory lab

🚨 Our Report

Micron Technology unveiled Micron Research Labs on Thursday, a Boise-headquartered research institution backed by a planned $10 billion investment over the next decade. The company describes it as the first dedicated memory research hub of its kind in the United States, designed to advance memory technologies, compute architectures, and semiconductor manufacturing for AI applications.

🔓 Key Points

• The flagship Boise campus will break ground in 2027, with the finished facility designed to accommodate hundreds of researchers working on next-generation memory and AI compute systems.

• NVIDIA's Jensen Huang, Apple's Tim Cook, and Commerce Secretary Howard Lutnick all issued statements backing the initiative, signaling broad industry and government support for domestic AI memory development.

• The investment is separate from Micron's existing $250 billion U.S. manufacturing commitment, which includes what will become the largest semiconductor manufacturing site in U.S. history near Syracuse, New York.

🔐 Relevance

High-bandwidth memory has become strategically critical as AI infrastructure spending accelerates. For enterprise buyers, Micron's move signals strengthening domestic supply chains for the memory chips that feed AI accelerators. As the administration prioritizes reducing foreign chip dependence, companies building AI infrastructure may see more predictable sourcing and fewer geopolitical supply risks from U.S.-based memory production.

The AI Report Podcast

Instacart’s AI Cart Knows What You Forgot at the Grocery Store | David McIntosh, Instacart

THE BUSINESS BRIEFING: HR & TALENT  (powered by Upscaile)

Eaton Corporation (global industrial manufacturer, 90,000 employees) was hiring 15,000 people annually on a recruiting stack where the CRM didn't talk to the ATS, candidates dropped off mid-application on mobile, and qualified internal employees were invisible to recruiters in other divisions. They replaced the entire fragmented system with Eightfold AI's talent intelligence platform, unified their data, and introduced skills-based matching across 60 countries.

Tool used: Eightfold AI -- unified CRM/ATS with AI-powered skills matching and internal mobility visibility.

Result: $2.4M in technology and operational savings. 40% increase in hiring velocity. 300% growth in talent network size. Time-to-offer dropped 9 days.

The lesson: Eaton didn't bolt AI onto broken infrastructure. They unified disconnected systems first, then layered intelligence on clean data. Most AI recruiting initiatives fail because they automate friction instead of eliminating it.

Steal this: Count how many systems your recruiters touch to move one candidate from sourced to hired. If it's three or more, consolidation should precede any AI initiative. Run that audit this week.

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

Japan requires AI firms to disclose training data under new "comply or explain" code.

A government panel approved a principle code requiring generative AI businesses to publicly disclose their training data sources and collection methods. Foreign companies serving Japanese users are covered. The code uses a "comply or explain" framework: either follow the rules or publicly justify why you won't. Rights holders can now demand to know if their content was used for training.

Deadline: In effect now. Compliance announcements expected on company websites.

Risk: Non-compliance means public disclosure of your refusal to comply, inviting regulatory scrutiny and rights holder litigation. Copyright holders now have a formal channel to challenge training data use.

Your move: Audit your training data provenance this month. Prepare disclosure documentation or draft your public explanation for non-compliance before rights holders start sending requests.

AI News

• 🏥 FDA proposes doctor-style "competency tests" for medical AI chatbots: The agency wants generative AI health devices to demonstrate clinical knowledge, safety behavior, and communication skills before market approval, with test rigor scaled to risk profile. FULL STORY

• 💸 One in five enterprises can't stop runaway AI agent spending in real time: VB Pulse survey finds 21% of builders rely on post-hoc logs with no kill switches, while the median enterprise now runs three orchestration platforms simultaneously. FULL STORY

• 🇧🇷 Brazil splits $444M AI supercomputer push between China and the US: Lula's government awarded Huawei and iFlytek the Rio de Janeiro infrastructure project while expecting Nvidia to win the tender for a top-10 global supercomputer in the northeast. FULL STORY

• 🔀 Ramp launches Router.com for AI model traffic routing: The fintech's new API lets developers compare models on cost, latency, and quality before shifting production traffic, claiming one customer cut model costs by 92%. 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. Gamma* — Create stunning presentations and websites from a single prompt, no design skills required

2. Aporia is an AI guardrails and observability platform for enterprise security and reliability

3. ReceiptUp is an OCR API that converts receipt and invoice images into structured data

^{*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: AI-native finance tools command unicorn premiums

Enterprise accounting just got its first billion-dollar AI challenger. Rillet hit unicorn status two years after emerging from stealth, while legacy fintech players scramble to bolt AI onto aging infrastructure. The signal is clear: investors are betting AI-first platforms will eat traditional ERP market share faster than incumbents can adapt.

Deals to know:

• Rillet (Series C, $100M at $1B valuation) -- AI accounting platform that doubled ARR in three months. Round closed in under 48 hours. Investors: Iconiq, Andreessen Horowitz, Sequoia

• Navi (Growth, $100M at $1.3B valuation) -- Indian fintech processing $5B+ monthly through AI-powered lending and payments. First outside capital after eight years. Investors: Prosus

Signal: Capital is flowing to finance platforms built AI-native from day one, not legacy systems retrofitted with automation. The SaaS replacement cycle in enterprise finance is accelerating.

Refer a Friend

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Until next time, Arturo and Liam.

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