5 carefully selected reads across AI, business, and investing.
The current AI landscape is defined by a major structural realignment where technology firms are aggressively liquidating human payroll to fund fixed-capital compute infrastructure. This transition, often described as an early-stage '1997 internet' moment, prioritizes operational efficiency and specialized data infrastructure over traditional labor models. Meanwhile, financial sectors are integrating AI-driven agents and tokenized settlements to secure cross-border payment dominance.
Benedict Evans argues that we are in an early, uncertain stage of AI comparable to the 1997 internet. He suggests that for professionals, the critical question is distinguishing between a task and a job, while companies must realize that distribution is becoming the ultimate moat in an era where software is increasingly easy to build.
Source: Lenny's NewsletterOver 28,000 tech jobs were eliminated in May 2026 as major firms shift capital from human payroll to AI infrastructure. This 'May Mayhem' reflects a deliberate corporate strategy to prioritize fixed-capital assets over white-collar labor, decoupling profitability from headcount.
Source: EquityEdge ResearchElevenLabs researchers are focusing on the speech-to-text bottleneck for voice agents, noting that accurate transcription is essential for conversational reasoning. Their Scribe v2 models aim to solve real-world issues like latency, accent handling, and background noise to enable reliable interactive systems.
Source: Air Street PressA new partnership between PayPal and WeChat Pay allows Americans to use QR payments in China, representing a significant wallet-to-wallet integration. Simultaneously, the BIS Project Agora aims to defend bank-led settlements against stablecoins using tokenized deposits and central bank reserves.
Source: Rich TurrinPrivate markets are increasingly turning to AI-native infrastructure to solve valuation transparency issues as retail and institutional demand grows. Platforms like 73 Strings are utilizing AI to process complex portfolio data, aiming to improve speed and accuracy in a sector traditionally burdened by manual reporting.
Source: Alt Goes Mainstream