Wall Street’s post-election relief gave way to a sharp AI sell-off last night, as investors weighed construction delays, borrowing costs and political scrutiny. With chipmakers leading the losses, the question is becoming more urgent: which businesses can afford to wait for the promised returns?
America’s midterm verdict puts the AI boom under fresh scrutiny. As Democrats prepare to take Congress, markets are weighing tighter infrastructure rules, financing risks and enduring trade tensions against the possibility that political restraint could make the investment cycle more sustainable.
Binance’s US$6.3 billion theft exposes the fault line beneath crypto’s institutional ambitions: the authority to move money. With the FBI blaming North Korea and investigators tracing stolen assets, the breach raises urgent questions for custody, tokenisation and the future of automated finance.
Wall Street’s post-election relief gave way to a sharp AI sell-off last night, as investors weighed construction delays, borrowing costs and political scrutiny. With chipmakers leading the losses, the question is becoming more urgent: which businesses can afford to wait for the promised returns?
Wall Street’s enthusiasm for divided government lasted barely a session. Last night’s selling erased Wednesday’s relief rally as investors reconsidered what the midterm results could mean for the construction programme underpinning America’s AI expansion.
By the end of the session last night, the Nasdaq Composite had fallen 5.5% to 24,315, the S&P 500 4.4% to 7,353.73, and the Dow 3.4% to 51,523.06. For the S&P, it was the sharpest daily decline since the April 2025 tariff shock.
Companies relying on continued infrastructure spending took some of the heaviest losses. Nvidia dropped 9.3%, AMD17.3% and electricity-equipment supplier GE Vernova 7.5%. The Nasdaq finished 11.9% below its record, confirming a correction. Fears of construction restrictions added to existing concerns about borrowing costs and investment returns.
Investors appear to be reassessing the timetable as much as the technology. A delayed data centre means deferred chip purchases, postponed electricity demand and a longer wait for revenue. For businesses borrowing to finance expansion, that delay changes the calculation: interest remains payable while expected income moves further away.
Democratic victories do not themselves cancel projects or rewrite federal policy. The incoming Congress assumes authority in January. Markets, however, do not wait for legislation before adjusting expectations, particularly when local opposition is already complicating development.
A slower buildout could curb excess and improve capital discipline, as Monica Guerra argued in the supplied Bloomberg interview. Last night’s reaction illustrates how painful that adjustment could be for companies whose valuations depend on uninterrupted expansion.
The investment question is becoming more concrete: which businesses can afford to wait?
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America’s midterm verdict puts the AI boom under fresh scrutiny. As Democrats prepare to take Congress, markets are weighing tighter infrastructure rules, financing risks and enduring trade tensions against the possibility that political restraint could make the investment cycle more sustainable.
Even SpaceX will lease its newest chips. As October's credit squeeze hit AI, Peter Diamandis saw two bubbles: the technology and its financing. The AI Diplomat asks who becomes the second owner of the machines when debt-financed compute changes hands, and whether Australia will own or merely rent.
Alphabet lost $500 billion in a day, Amazon slid after hours and Seoul’s Kospi fell 4 per cent as the AI build outgrew the cash that funds it. Lenders still queue for Microsoft, while shareholders punish the cash burners. Washington beat Moscow with public money. Against Beijing, it is borrowing.
Thursday's AI sell-off was not about demand. It was about who pays. The Nasdaq fell 2.6 per cent, Meta unveiled non-voting shares to fund its build-out and Nvidia's Jensen Huang warned of a scarcity of capital, as OpenAI raced to close up to $30 billion at $1.25 trillion. Retracement or reckoning?
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