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Strategic insights on blockchain, AI, security, leadership, and career in an age of disruption.
Why LinkedIn's AI Algorithm Really Punishes Generic Content
LinkedIn's 360Brew algorithm doesn't detect AI—it detects generic, templated writing. Learn why authenticity beats AI detection and how to use tools without losing your voice.
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When Employees Become Your AI Training Data
Meta's leaked employee monitoring program reveals how companies are harvesting worker data to train AI. Here's what leaders need to know before turning talent into datasets.
The Missing Word in Crypto's Moat Strategy
Explore why open blockchains need trust, not just low fees, to build sustainable competitive advantages beyond transaction volume.
Why Your Best Security Fixes Backfire
Complex systems resist simple fixes. Learn why governance controls often amplify the problems they solve—and how to think ahead.
AI Job Disruption: The Silent Reallocation Already Underway
ECB data reveals AI isn't causing mass unemployment—it's quietly reshaping roles. High-risk jobs grew 15% slower, employment fell 4%. The real risk isn't extinction; it's wage stagnation.
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4 posts
AI Cost Reality: When Subsidies End
Compute subsidies are temporary. Learn how to build sustainable AI products that survive price increases and compete beyond today's token economics.
AI Governance: Balance Adoption and Risk
Leaders face competing pressures on AI: boards demand adoption, risk committees demand controls. Learn how to govern AI as a critical dependency, not a strategic choice.
AI Language Models: Optimizing for the Wrong Thing
Explore why unaligned AI optimization—from newsfeeds to language models—creates unintended harm at scale, and what leaders must understand about AI risk.
AI Training Data Rights: The Legal Framework We're Missing
Authors suing AI companies will likely lose, but they're exposing a critical gap: no legal framework exists for compensating data creators whose work trains billion-dollar models.