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Strategic insights on blockchain, AI, and leadership in disruption.
Why Per-Seat Pricing Is Becoming Obsolete
Stablecoins and AI agents are eliminating the infrastructure and cognitive bottlenecks that made subscription pricing necessary. The shift to granular, agent-driven purchasing is inevitable.
Recent Essays
Quantum Computing's Accelerating Timeline: What Leaders Must Know
Google's Willow chip marks exponential progress in quantum computing. Leaders must abandon linear planning models—the security and competitive implications are arriving faster than most forecasts predict.
Three Dimensions Unlocking Market Access by 2030
Tokenization, 24/7 markets, and prediction markets are dissolving traditional trading boundaries. Access—not information or speed—becomes the competitive differentiator for financial leaders.
Why Crypto's Perfect Math Fails at Human Error
Blockchain's immutability is both its greatest strength and fatal weakness. Learn why cryptographic perfection without human factors engineering creates catastrophic risk at scale.
Why AI Falls for Medical Misinformation 47% of the Time
LLMs pattern-match authority signals rather than evaluate truth, creating critical risks in high-stakes domains like healthcare and finance. Discover why training data alone won't fix this architectural flaw.
All Content
575 posts
Why Per-Seat Pricing Is Becoming Obsolete
Stablecoins and AI agents are eliminating the infrastructure and cognitive bottlenecks that made subscription pricing necessary. The shift to granular, agent-driven purchasing is inevitable.
Quantum Computing's Accelerating Timeline: What Leaders Must Know
Google's Willow chip marks exponential progress in quantum computing. Leaders must abandon linear planning models—the security and competitive implications are arriving faster than most forecasts predict.
Three Dimensions Unlocking Market Access by 2030
Tokenization, 24/7 markets, and prediction markets are dissolving traditional trading boundaries. Access—not information or speed—becomes the competitive differentiator for financial leaders.
Why Crypto's Perfect Math Fails at Human Error
Blockchain's immutability is both its greatest strength and fatal weakness. Learn why cryptographic perfection without human factors engineering creates catastrophic risk at scale.
Why AI Falls for Medical Misinformation 47% of the Time
LLMs pattern-match authority signals rather than evaluate truth, creating critical risks in high-stakes domains like healthcare and finance. Discover why training data alone won't fix this architectural flaw.
AI Is Collapsing Vertical SaaS—Legal Tech First
General-purpose AI is replacing specialized software across industries. Legal tech vendors face elimination as Claude and similar models handle contract review, research, and automation in one platform.
Why Subscriptions Are Dying: The Payment Problem
Spotify and SaaS exist because payment rails couldn't handle micropayments and humans faced decision fatigue. As stablecoins and AI remove these constraints, the subscription model faces obsolescence.
Quantum Computing's Countdown to RSA Encryption
Quantum computers have factored 21—a tiny number. But progress isn't about size; it's about solving engineering problems on predictable timelines. RSA encryption's vulnerability is closer than you think.
AI Security Theater: Why Confirmation Prompts Fail
Explicit approval requirements don't secure AI systems—they create false confidence. Real AI security requires architectural input validation, not procedural friction.
Why Smart Contract Security Requires Economic Design
DeFi exploits reveal the real vulnerability isn't code quality—it's economic incentives. Learn why legal action proves decentralization failed.
Trading Housing Markets Without a Mortgage
Polymarket and Parcl just democratized real estate investing. Learn how synthetic markets are unlocking $380 trillion in untapped opportunities for traders and professionals.
Why Superior Tech Doesn't Guarantee Adoption
Farcaster's acquisition reveals a hard truth: decentralized protocols fail not from poor engineering, but from missing product-market fit and network effects.