The "Dual Bubble" Threat Lurking Between IBM's Crash and Bank Records

IBM’s worst single-day crash in its 115-year history juxtaposed against record-breaking profits from US banks serves as a stark crucible for Steve Hanke’s "dual bubble" theory. Markets are dancing on the edge of a precipice between an asset bubble fueled by AI exuberance and a far more dangerous "earnings bubble."
Not Valuation, But an Earnings Bubble
For two years, investors debated whether AI stocks are too expensive, but Hanke suggests this is the wrong question. There are actually two bubbles in markets: a classic valuation bubble and, more critically, an earnings bubble.
Overlooked Warning Signs
IBM CEO Arvind Krishna’s unusually candid letter, admitting "we faltered" without excuses, validates the New York Times' "canary in the coal mine" analogy. Peter Berezin of BCA Research argues that today’s AI trade is "primarily an earnings bubble rather than a valuation bubble."
The Credit Mechanism and Market Reality
According to Hanke, the surprise for markets is not the Fed creating money, but private banks doing so. JPMorgan CEO Jamie Dimon’s remarks of being "close to as good as it gets" paint a complex picture where credit is still flowing freely.
Markets are approaching this situation with a macroeconomic disconnect between record profits in the banking sector and fragile growth narratives in tech. For the European Central Bank (ECB) and global policymakers, the real risk lies in the potential for a correction triggered by the implosion of this "earnings bubble," driven by excess liquidity from US banks and overcapacity in AI investments. An "earnings bubble" burst like IBM’s could serve as a leading indicator for European tech and industrial equities.