🧠 *$200 an hour to train AI? Wall Street is paying exactly that.* Generic AI doesn’t understand high-stakes finance, so major banks and AI labs are hiring former investment bankers to build proprietary models from scratch. Training costs run 30–50% higher than standard corporate AI – and institutional budgets are hitting $1.2 billion. I unpacked the three drivers behind this premium and what it means for the future of talent in finance. Read the full article here 👇

🚨 Is software about to become “essentially free”? Anthropic CEO Dario Amodei dropped a bombshell at Davos: AI is on the verge of making software development so cheap that traditional business models collapse. Engineers at Anthropic have already stopped writing code—they just edit what AI generates. I spent hours researching both sides of this debate. Here’s what I found: 📊 The Bull Case: · ServiceNow (-39% YTD), Snowflake (-35%), and other SaaS giants are already feeling market pressure · Vibe coding tools are letting non-engineers build functional applications · AI coding adoption is surging across enterprises ⚠️ The Bear Case: · Amodei’s previous prediction (90% AI code by Sept 2025) didn’t materialize · Developer trust in AI accuracy dropped from 43% to 33% year-over-year · 70-80% of software costs come after initial development—AI doesn’t solve maintenance · IBM’s CEO estimates AI will automate only 20-30% of coding, not 90%

The AI layoff headlines are coming fast. But are we making a catastrophic mistake by rushing to replace instead of augment? 🧠 In my latest article, I dig into why the “replacement-first” mindset is a ticking time bomb for companies, why AI works better as an exoskeleton for your existing team, and why strategic caution in 2024 isn’t fear—it’s a survival skill. The future of work isn’t about humans vs. machines. It’s about humans with machines. But only if we’re intentional.