What the AI Scare Gets Wrong | Prof G Markets
TL;DR
A speculative Catrini Research blog post titled "The 2028 Global Intelligence Crisis"—imagining AI-driven mass unemployment and a 38% market crash—caused real selloffs in software and private credit stocks, revealing a dangerous decoupling of market volatility from fundamentals while creating buying opportunities for disciplined investors.
📉 Narrative-Driven Market Chaos 2 insights
Fiction sparks real sell-offs
A creative writing piece envisioning 10% unemployment and "ghost GDP" triggered a 2% Dow drop and 5% software stock declines, despite being speculative fiction rather than financial analysis.
Fundamentals decoupled from price action
DoorDash, Visa, Mastercard, and American Express plummeted not due to earnings misses or business model changes, but solely because they were mentioned by name in the blog post.
🧮 Economic Logic Flaws 2 insights
The consumption contradiction
The scenario assumes AI simultaneously destroys wages through mass unemployment while predicting rising AI consumption, ignoring that spending requires income and households cannot consume without earnings.
Ignoring historical adaptation
The analysis focuses exclusively on value destruction while overlooking how previous technological shifts—like agriculture shrinking from 90% to 2% of employment—ultimately created new economic value and job categories.
💰 Investment Opportunities 2 insights
Private credit valuation mismatch
Apollo (14x earnings, double-digit growth), TPG (33% below fair value), and Blue Owl (78% dividend yield) were oversold due to liquidity fears despite maintaining strong AUM growth and recurring fee revenue.
SaaS and payments oversold
Software companies and payment processors with durable business models now trade at compressed multiples relative to the S&P 500, creating entry points for investors focusing on fundamentals over narrative volatility.
🧠 Human Capital Strategy 2 insights
Move upstream like executive assistants
Professionals should transition from AI-reviewable mid-level tasks (like routine contract review) to high-judgment roles involving corporate structure, tax efficiency, and strategic decision-making that require high EQ.
The career automation test
Ask which of your tasks require complex judgment versus those that can be automated, then reposition toward upstream value creation where human expertise commands premium pricing over routine execution.
Bottom Line
Buy oversold private credit and software stocks trading below fundamentals due to AI panic, while aggressively moving your own career upstream toward high-EQ strategic roles that AI cannot replicate.
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