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SEO StrategyGoogle claims optimizing for generative AI is just SEO. James Huang explains why that's technically true inside Google's walls—and dangerously incomplete everywhere else. The on-site game is table stakes. The off-site game is the whole war.
AI StrategyAccenture's leaked recording revealed PDF-to-PPT as their biggest token burner. This is Goodhart's Law in action: when token consumption becomes a KPI, employees optimize for burning tokens. James Huang explains why measuring AI usage instead of outcomes creates perverse incentives—and what to do instead.
AIExplore how a self-improving AI coding engine transforms software development, making traditional coding roles obsolete and emphasizing system architecture.
Digital TransformationDiscover how the ancient tale of Chang'an's lychee delivery offers crucial lessons on enterprise tech bloat and the necessity of constraints for true innovation.
InsightDiscover how liquidity drives asset prices and market dynamics. Learn why understanding money flow is crucial for investors.
AI GovernanceExplore how organizations can thrive by externalizing intelligence through cogware, focusing on skills, guardrails, and memory for better governance.
AIMicrosoft's $2.5 billion investment in deploying engineers highlights a critical flaw in the API economy: operational clarity is key to AI success.
AI & Machine LearningDiscover why the question of who owns AI in the C-suite is crucial for corporate strategy and how to navigate this complex landscape.
AIAI is reshaping India's IT landscape, leading to massive job losses and market declines. Discover the profound implications for the future.
AI & Machine LearningIs relying solely on AI for mentorship a dangerous myth? Discover why human guidance is essential for novices in the tech industry.
East-West Cultural DynamicsDiscover the harsh realities of East Asia's competitive culture, where relentless pressure leads to devastating consequences for youth in China, Korea, and Japan.
AIEveryone thinks AI coding is about better prompts. They're wrong. We compressed 655 man-days of enterprise development into 14 days with one engineer. Here's the systems-engineering blueprint that actually made it work.