The Rogue Swarm and the Federal Backstop
There is a particular kind of tweet that only the CEO of a frontier lab can send at midnight on a Saturday. Dario Amodei’s was one of them: a warning that within six to twelve months a “rogue swarm” could seize control of the internet and inflict hundreds of billions in damage. The message was delivered with the grave, unsentimental cadence of a man who ‘has seen things that you people wouldn’t believe.’ Within minutes, Sam Altman and Elon Musk had joined the chorus – they had also “seen things.” By Sunday morning, the alarm was general.
Consider the timing and the cycle. Within the same week, an ex‑OpenAI, ex‑Anthropic researcher, Jacob Coxon, posted that both companies were ‘racing straight to self-improving superintelligence and gambling with our lives.’ The alarmist thread drew more than 120 million views in its first day and prompted more than 20 politicians to respond with calls for AI regulation. Around the same time, Anthropic’s own economists released a scenarios report which featured roughly 15% annual GDP growth, 11.9% economy‑wide mass unemployment, and labour’s share of income falling from about 60% to 45.2% – as though the bleak forecast of technological unemployment required a formal scenarios report to be taken seriously. And within days of Amodei’s warning, Semafor reported that a previously stalled bipartisan AI safety bill had suddenly emerged as the most viable legislative option before 2027. Meanwhile, Bernie Sanders, who had announced a superintelligence‑ban bill on 3 September, was preparing to introduce it formally and convene expert briefings on AI’s “extraordinary dangers.”
Let’s be serious and ask the only question that truly matters here: what does this sudden AI-panic wave actually produce? One thing it certainly does not and will not produce, is regulation in any binding sense. Instead, it creates the terrain or precondition for something entirely different: a federal backstop for AI capital expenditure (CapEx) that OpenAI and other labs have sought from the beginning. In this framework, Amodei’s swarm is the alibi. It gives Altman the perfect reason to postpone the trillion-dollar IPO – ‘an ill‑advised moment to go public’, he commented – while handing Congress the emotional warrant to authorise emergency federal funding to secure AI (and, it seems, the world) against catastrophe. The existential threat is real enough to justify the money and vague enough to justify anything else.
This is the Machiavellian techno-financial machinery in its purest form. The point to always keep in mind, amid all the noise, is that the AI buildout runs on mountains of debt: capital investments by tech giants on data centres and AI infrastructure will exceed a trillion dollars in 2027; off-balance-sheet commitments are at $3.1 trillion with $1.3 trillion added in a single quarter; AI bond issuance has hit $266 billion this year and a further $400 billion are expected next year. Several of the largest hyperscalers are now free‑cash‑flow negative, as AI data‑centre and chip spending outstrips operating cash generation and pushes more financing off their balance sheets. In short, private balance sheets can no longer absorb the debt bingeing on their own. So, the conditions for the next round of credit creation must be conjured politically: first the panic, then the guarantee, then the issuance. The safety discourse is the lubricant – the initial ideological form taken by this issuance. The sequence is straightforward: private credit finances the buildout; mounting fragility demands a public guarantee (through procurement, energy subsidies, liability protection, debt guarantees, or emergency appropriations) and the guarantee requires an emergency vocabulary. AI safety supplies that vocabulary.
The Rehearsal
As many will remember, in April 2026, Anthropic announced its Mythos model had ‘found thousands of high-severity vulnerabilities, including some in every major operating system and web browser.’ The White House restricted access to roughly 40 organisations, including Amazon, Microsoft, JPMorgan. The rest of the world’s banks, hospitals and governments were left waiting outside that circle. They had to confront the implications indirectly: through regulatory warnings, emergency briefings, and a rapidly expanding language of systemic risk.
The IMF called it a potential ‘macro-financial shock,’ warning that ‘correlated failures’ could ‘disrupt financial intermediation, payments and confidence at the systemic level.’ The Bank of England’s governor, Andrew Bailey, requested that Anthropic brief the Financial Stability Board – finance ministry officials and central bankers from the G20. Meanwhile, the ECB gave 110 banks until 31 October to submit ‘comprehensive action plans’ against AI-enabled cyber threats, raising its systemic risk assessment to “severe.” And Klaus Schwab, of course, had already said it plainly back in 2020: compared to a major cyber-attack, ‘the COVID-19 crisis would be seen as a small disturbance.’....
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While many of the observations are not original to the good Professor, he does tie them together into a neat little package.
