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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. 🚀 Launch your site faster than ever with Framer
• 2. ⚡️ Amazon shifts Anthropic deal
• 3. 💼 Your Business Briefing
• 4. 🤓 Teach your whole team AI with Upscaile
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin
Are you ready to launch AI transformation for your company?
TOGETHER WITH FRAMER
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Latest in AI
Amazon shifts Anthropic deal
🚨 Our Report
Amazon has restructured its partnership with Anthropic, moving from compute-hour billing to a token-based pricing model for the AI startup's large language models starting next year. The Information reports the change could raise Amazon's costs for Claude, though Amazon disputes that characterization.
🔓 Key Points
Amazon uses Anthropic's models to power Alexa shopping, its Kiro coding tool, and Quick workplace assistant. The new pricing structure will apply across these products beginning next year.
The companies have been partners since 2023, when Amazon invested $4B in exchange for Anthropic using AWS as its primary cloud provider. Amazon agreed earlier this year to invest up to an additional $25B in Anthropic.
Amazon has also expanded its AI portfolio through a separate OpenAI partnership worth up to $50B, with OpenAI offering models through Amazon Bedrock. Both deals position AWS as a multi-model AI infrastructure provider.
🔐 Relevance
For enterprise buyers weighing AI vendor commitments, this signals that even the largest cloud providers are renegotiating foundational AI partnerships as usage scales. Token-based pricing typically aligns costs with actual consumption rather than reserved compute, which could benefit or penalize customers depending on their usage patterns. The dispute over cost implications suggests the economics of large-scale AI deployment remain volatile, even between strategic partners.
THE BUSINESS BRIEFING: MARKETING (powered by Upscaile)
7‑Eleven (global retail, 85,000 stores) was drowning in campaign demand as creative briefs multiplied across email, app, radio, and in‑store channels. Generic AI chatbots failed brand checks and couldn’t integrate into existing workflows, so the team built a custom GenAI marketing assistant on Databricks and LangGraph to automate ideation and copywriting inside governed systems.
Tool used: Databricks Mosaic AI + LangGraph — multi‑agent orchestration platform for building governed, enterprise-grade GenAI assistants.
Result: Multi‑channel campaign concepts and scripts that once took hours or days now generated, refined, and approved in minutes, with manual ideation and drafting time dramatically reduced across campaigns.
The lesson: Custom, governed AI embedded into real workflows drives adoption; generic chatbots get abandoned.
Steal this: Pick one repeatable campaign type this week, map every step from brief to final copy, then use AI to generate first drafts for each channel in one structured prompt. Route outputs through one human reviewer before edits. Optimize that single workflow before expanding.
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 POLICY CORNER
UK regulators tell financial firms: prove your AI governance works or expect questions.
The FCA, Bank of England and HM Treasury issued a joint statement urging regulated firms to strengthen cyber resilience against frontier AI threats. The FCA simultaneously reopened its AI Input Zone to gather examples of good and poor AI practice, which will inform supervisory guidance later this year. No new AI-specific rules are coming, but firms must demonstrate how existing frameworks apply to concrete AI use cases.
Deadline: In effect now. FCA good/poor practice guidance expected late 2026.
Risk: Firms unable to evidence AI governance face supervisory scrutiny under SM&CR accountability rules. The FCA expects boards to show "sufficient understanding" of frontier AI risks.
Your move: Build an AI inventory this month. Document every AI tool, who owns it, whether it touches important business services, and whether it's third-party supplied. If regulators ask, you need receipts.
AI News
🛡️ Booz Allen partners with OpenAI for mission-ready AI: The firms will accelerate secure AI deployment across U.S. defense, intelligence, and critical infrastructure, creating a direct feedback loop between frontline agencies and OpenAI’s frontier models. FULL STORY
⚖️ Google argues AI training is fair use: In a 21-page policy paper, Google says model training on public web data is “transformative” and copyright enforcement should focus on outputs, not inputs. FULL STORY
🏛️ California secures Claude at half price for agencies: Gov. Newsom struck a deal with Anthropic giving state and local governments discounted access to Claude plus training and support. FULL STORY
📉 Stanford finds bias in AI hiring tools: Researchers analyzing 4M applications found 26% of Black and 15% of Asian applicants applied to roles where AI screening showed racial disparities. FULL STORY
Trending AI Tools (Sponsored by the AI Executive’s Pass)
A curated look at the AI tools quietly transforming how teams work.
Incogni:* Data brokers feed AI your info. Incogni removes you from 200+ of them — automatically
Synthesia is an AI video platform that transforms text into professional videos with avatars and voiceovers in 140+ languages
AskJack is an AI-driven HR knowledge hub that automates responses to common employee questions
*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: Memory chips become AI's strategic chokepoint
South Korea's two largest chipmakers just committed $518B to build four new memory fabs, part of a broader $900B national push spanning semiconductors, AI data centers, and packaging hubs. The scale reflects a simple truth: whoever controls memory supply controls AI infrastructure pricing through the decade.
Deals to know:
Sharon AI (Strategic Financing, $1.6B) -- Australian neocloud deploying up to 40,000 NVIDIA GB300 GPUs in one of the country's largest AI factories. Investors: Situational Awareness L.P., Oaktree Capital Management
Samsung/SK Hynix Honam Initiative (Sovereign investment commitment, $518B) -- Four new memory fabs plus $52B HBM packaging hub to ease global "RAMageddon" shortage. Investors: Samsung, SK Hynix (corporate capital)
Signal: Capital is stacking behind memory infrastructure at nation-state scale. The bottleneck narrative is shifting from GPUs to the memory that feeds them.
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