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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. 📝 Capture every email, call, and meeting with Lightfield
• 2. ⚡️ Anthropic probes Mythos breach
• 3. 💼 Your Business Briefing
• 4. 🤖 Build AI assistants & agents for life with the AI Executive System
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin
Are you ready to launch AI transformation for your company?
TOGETHER WITH LIGHTFIELD
Your CRM only knows what you tell it. You don't have time to tell it anything. So it knows nothing.
That's why you can't answer simple questions about your own pipeline. Why you're guessing before board meetings. Why deals die in the gap between a great call and a forgotten follow-up. Lightfield is an AI-native CRM that fixes this permanently. It captures every email, call, and meeting automatically. Then lets you ask anything.
"Why do we keep losing to [competitor] — with quotes from the actual calls."
"Find every churned account that mentioned the feature we just shipped and draft a win-back email."
"Prep me for tomorrow's board meeting with a pipeline report built from real conversations."
Real answers. Cited from real conversations. Not from fields nobody updated. Teach it how you sell and watch it go to work for you. 2,500+ startups already have.
Latest in AI
Anthropic probes Mythos breach
🚨 Our Report
Anthropic is investigating a possible breach of Mythos, a new AI model designed to detect software vulnerabilities that the company released to a small group of major enterprises earlier this month as part of Project Glasswing. The breach reportedly occurred in a third-party vendor environment.
🔓 Key Points
Anthropic confirmed it is investigating unauthorized access to Mythos from a third-party vendor environment, but says it has not detected breaches outside this environment or compromises to its core systems.
Mythos was shared only with major companies including Amazon, Apple, Cisco, JPMorgan Chase, and Nvidia, amid concerns the model could be exploited by bad actors if released widely.
Federal officials and security experts warn that while Glasswing is meant to harden defenses, Mythos could also be used to exploit IT infrastructure at banks, hospitals, and government systems.
🔐 Relevance
This incident exposes a growing paradox in AI security: models built to find vulnerabilities can become vulnerabilities themselves. For enterprise leaders evaluating AI security tools, the breach reinforces that third-party vendor risk remains a weak point, even for sophisticated AI companies. It also raises questions about early-access programs and whether limited rollouts can truly contain powerful security tools.
THE BUSINESS BRIEFING: FINANCE (powered by Upscaile)
Sensiba (Top 75 accounting firm, venture capital audit practice) was bleeding 30-45 minutes per technical accounting question. Staff spent nearly an hour reading limited partnership agreements manually, extracting key terms, and drafting memos from scratch, repeating the process across every engagement.
They deployed CoCounsel Audit across 100+ professionals, using citation-backed answers for accounting guidance and workspace templates to pull terms from long legal documents like LPAs and benefit plan agreements.
Tool used: CoCounsel Audit -- agentic AI that researches accounting standards and extracts structured data from complex legal documents with citations.
Result: Technical research dropped from 30-45 minutes to minutes. Document extraction streamlined across the entire audit team. Senior capacity freed for high-value advisory work.
The lesson: AI compounds fastest when it removes preparation work, not judgment. Sensiba kept review standards intact and used AI to feed auditors faster, cleaner inputs, not to make final decisions.
Steal this: Pick one document your team reads repeatedly (contracts, agreements, fund docs). Build a template that extracts the same 5-10 terms every time. Test it on three past files this week.
TOGETHER WITH THE AI EXECUTIVE SYSTEM
Build AI assistants & agents for work and life – no tech skills required
What would you do with an extra 10 hours every week? The AI Executive System walks you step-by-step through building AI assistants for your professional and personal life — from a frontline "office team" to a strategic advisory council — with live coaching, proven templates, and a peer community behind you.
THE POLICY CORNER
Washington becomes first state to mandate chatbot disclosure for customer-facing AI
Washington State passed legislation requiring businesses to disclose when customers are interacting with an AI chatbot rather than a human agent. Applies to all customer service bots, sales assistants, and automated support tools used by companies serving Washington residents.
Deadline: January 1, 2027
Your move: Audit customer-facing AI tools now. Add clear "This is an AI assistant" disclosure at the start of every bot interaction. Coordinate with legal and product teams to implement compliant language before the deadline.
AI News
🛡️ Microsoft partners with Anthropic on Project Glasswing: Claude Mythos Preview now integrated into Microsoft's Security Development Lifecycle to accelerate vulnerability discovery, with new Defender detections sim-shipping with security updates starting June 2026. FULL STORY
📊 Adobe report reveals enterprise AI readiness gap: Only 16% of organizations have deployed agentic AI for customer support despite 78% planning full rollout within 18 months, with 75% citing data quality as top barrier. FULL STORY
🎯 MIT develops RLCR to fix AI overconfidence: New training method reduces calibration error by 90% while maintaining accuracy, teaching models to say "I'm not sure" instead of guessing with false certainty. FULL STORY
🏢 Google launches enterprise AI agents push: Search giant positions agentic AI at center of enterprise strategy with new automated workflow capabilities designed to drive commercial revenue growth. FULL STORY
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The Money: AI infrastructure financing supercycle
Capital is flooding into the physical backbone of AI, not new model labs. Within 24 hours, investors committed $2B to build data centers in Texas and pushed a storage startup to a $30B valuation. For executives, this signals where pricing power and capacity constraints are shifting next: infrastructure owners are becoming strategic gatekeepers.
Deals to know:
DataBank (Construction financing, $2.0B) -- Loan to build the first three data centers on its new Dallas-area campus, totaling 600,000 sq ft and 180MW of power, already fully leased. Lenders: MUFG Bank
VAST Data (Funding round, $30B valuation) -- Nvidia-backed AI data storage company reached a $30B valuation in its latest raise, reflecting surging demand for high-performance AI data platforms. Investors: Nvidia
Signal: Serious capital is consolidating around compute, storage, and power assets. The next phase of AI competition will hinge less on model novelty and more on who controls scalable infrastructure.
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Until next time, Arturo and Liam.
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