Descriptions:
Prof G Markets host Edson sits down with Robert Armstrong — US financial commentator for the Financial Times and author of the widely-read Unhedged newsletter — to analyze a historic week for AI-driven market volatility. The trigger: Amazon announced $200 billion in 2026 capital expenditure, over 50% higher than the prior year and approximately $50 billion above analyst expectations, sending shares down 15%. Simultaneously, new tools from Anthropic sparked fears that AI would structurally disrupt the enterprise software sector, wiping out over $1 trillion in combined market value from companies including Salesforce and ServiceNow. Google, by contrast, raised $20 billion in a bond offering to fund AI spending and saw its shares recover, while Meta’s similarly large capex announcement was met with a stock price increase.
Armstrong’s central analysis is that the market has no coherent pricing model for the current AI transition. The contradictory reactions — same capex announcement, opposite stock movements depending on the company — reflect genuine uncertainty about whether AI infrastructure spending generates returns comparable to the legacy businesses being transformed. He frames this as a potentially permanent shift in the profitability structure of large-cap tech.
The episode also features Tom Lee, CIO of Fundstrat Capital, explaining Bitcoin’s worst two-week collapse in nearly three years, which drove prices briefly to $60,000 before a partial recovery to $70,000. Lee attributes the crash to a chain of price shocks beginning October 10th that eliminated roughly a third of the industry’s market makers, followed by cascading liquidations triggered by geopolitical uncertainty. Together, the segments document a market environment where AI capital allocation and macro instability are producing simultaneous and interrelated dislocations.
📺 Source: The Prof G Pod – Scott Galloway · Published February 10, 2026
🏷️ Format: News Analysis
