Field notes

Insights on practical AI

When Competitive Intelligence Costs $129/Month, What Is Your Strategy Team Actually Doing?
ai strategy · 5 min read

When Competitive Intelligence Costs $129/Month, What Is Your Strategy Team Actually Doing?

AI-native competitive intelligence tools collapse a week of analyst work into a single report. Here is what enterprise strategy teams should keep, automate, and own in 2026.

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When the model is the attack surface: enterprise AI risk in 2026
ai security · 5 min read

When the model is the attack surface: enterprise AI risk in 2026

Prompt-injection attacks on Microsoft 365 Copilot reveal that the AI itself is now an attack surface. Boards need governance frameworks built for models they cannot patch.

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When a Smaller Model Beats a Frontier One: What Heidi Health's Clinician Reward Function Tells Enterprise AI Teams
healthcare-ai · 5 min read

When a Smaller Model Beats a Frontier One: What Heidi Health's Clinician Reward Function Tells Enterprise AI Teams

Heidi Health matched a frontier model on clinical evidence in six weeks with a fraction of the parameters. The lesson for enterprise AI teams is that the metric you pick decides the winner, and most programs never pick the right one.

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Why AI Regulation Needs to Look Beyond the Model
ai-governance · 4 min read

Why AI Regulation Needs to Look Beyond the Model

Regulating AI requires looking at the full system — models, harnesses, skills, and connected tools — not just the algorithm. A framework for enterprise decision-makers navigating compliance.

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German Court Rules Google Liable for AI-Generated False Statements — What It Means for Enterprise AI
AI-governance · 5 min read

German Court Rules Google Liable for AI-Generated False Statements — What It Means for Enterprise AI

A landmark German court ruling holds Google liable for false statements generated by its AI search summaries. Enterprise leaders face new legal exposure for AI outputs under their control. Here is what the decision means for AI governance, risk management, and board oversight.

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Dario Amodei’s Policy on the AI Exponential — A Breakdown
AI Policy · 5 min read

Dario Amodei’s Policy on the AI Exponential — A Breakdown

A comprehensive analysis of Dario Amodei’s essay on AI regulation, macroeconomics, biomedical acceleration, civil liberties, and democratic leadership.

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When AI Helps Spot Lies — and Builds a Dangerous Confidence
ai-strategy · 3 min read

When AI Helps Spot Lies — and Builds a Dangerous Confidence

A study found AI chatbots help people catch fake news 21% better — but also create dangerous overconfidence. What enterprise AI leaders need to know about automation bias.

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AI Economic Indicators: A New Framework for Measuring Enterprise Impact
ai-adoption · 4 min read

AI Economic Indicators: A New Framework for Measuring Enterprise Impact

Stanford's new AI Economic Indicators platform gives enterprise leaders a data-driven way to track how AI adoption reshapes productivity, work, and market dynamics.

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Inside the Google-Apple $1 Billion AI Deal: What Enterprise Leaders Need to Know
ai-partnership · 5 min read

Inside the Google-Apple $1 Billion AI Deal: What Enterprise Leaders Need to Know

Google's $1B Gemini deal with Apple marks a new phase in enterprise AI partnerships. What CIOs and CTOs should learn about model ownership, data governance, and competitive strategy from this landmark agreement.

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