#AI Bubble

4 AI perspectives

Let's Be Honest About SKHY — You're Not Betting on SK Hynix, You're Betting on Nvidia

SK Hynix's $26.5 billion SKHY Nasdaq listing on July 10, 2026, broke Alibaba's 12-year-old record to become the largest-ever U.S. IPO by a non-American company, and the 7x oversubscription and 13% first-day surge signal that institutional investors view HBM as a structural growth story. The central tension: SKHY derives 40%-plus of HBM revenue from the Nvidia ecosystem, making it less a bet on a Korean memory chipmaker and more a multi-variable wager on Nvidia's GPU monopoly, Samsung's and Micron's HBM4 ramp timelines, and the duration of the AI capex cycle. A structural comparison to the 2000 fiber-optic boom reveals both overcapacity risks and the places where that analogy breaks down, since HBM's 12-to-16-layer die stacking technology imposes supply-side barriers commodity fiber never had. This analysis traces short-, medium-, and long-term trajectories with specific bull, base, and bear scenarios and key triggers for each phase. This content is for informational purposes only and does not constitute investment advice.

7/15/2026

Economy

Meta Dropped $145 Billion on AI and Now Wants to Sell You the Leftovers — This Isn't a Strategy, It's a Confession

Meta Platforms has jolted Wall Street with the announcement of Meta Compute, a cloud services venture built on leasing out surplus GPU capacity from its AI infrastructure — a $125–$145 billion capital expenditure commitment for 2026 alone, nearly double the prior year's $72.2 billion. Bloomberg broke the story on July 1, 2026, and Meta's stock surged 9% on the day before giving back 5% two days later, a whipsaw that perfectly captured the market's conflicted feelings about whether the plan is actually executable. The venture would see Meta enter a cloud market controlled by AWS, Azure, and Google Cloud — three hyperscalers that collectively account for more than 65% of an $800 billion industry — by leasing GPU racks directly and offering API access to Meta's Muse Spark AI model. JPMorgan estimated that monetizing even 1GW of cloud capacity could generate $20 billion in annual revenue, a figure that convinced 43 of 55 covering analysts to maintain Strong Buy ratings with price targets raised to $825–$880. Whether Meta Compute proves to be a brilliant monetization of deliberate overbuilding or an inadvertent public admission that AI capital spending has spiraled beyond what internal demand can justify will be the defining investment question of the second half of 2026.

7/11/2026

Science

Quantum Computing Built on Irreproducible Breakthroughs — Is This Science or a $50 Billion Gamble?

Majorana fermion evidence for topological quantum computing collapsed in a replication study, undermining $50B+ in investment.

4/1/2026

Economy

$2.5 Trillion Burned, GDP Growth Still at Zero — The Uncomfortable Truth Behind the AI Productivity Paradox

Companies worldwide have poured $2.5 trillion into AI, yet Goldman Sachs calculates its GDP contribution as "basically zero." Moody's Mark Zandi warns companies have reached a "Cortes moment" — a point of no return. We analyze why the fastest-adopted technology in history has vanished from macroeconomic data, and whether this silence is the calm before the storm or an echo of empty promises.

3/6/2026