The AI rally increasingly rests on borrowed money — and lenders are repricing it

A piece headlined “The AI trade now runs on borrowed money, and the lenders are repricing it” brought to Hacker News a thesis that has been voiced ever more often in recent months in connection with the artificial intelligence market: the rapid growth of investment in this field rests not so much on participants' own capital as on borrowed funds.

The central idea carried in the headline comes down to two related claims. First, “the AI trade” — that is, the totality of investments in companies, infrastructure and projects tied to artificial intelligence — is now largely financed with debt. Second, the lenders providing this money are beginning to reprice it — in other words, to reassess the risk and, judging by the wording, to raise its price.

The logic of such a storyline is clear even without additional calculations: while capital is cheap, ramping up investment in expensive computing infrastructure and ambitious projects is easier; the moment lenders start demanding a larger risk premium, the whole structure built on borrowed funds becomes more sensitive to any doubts about returns.

Unfortunately, we were unable to obtain the full text of the publication — the link opens only the header of the Grey Swan Signals resource, described as a “Market Stress Radar,” that is, a kind of indicator of market tension. For that reason the specific figures, estimates of debt volumes and names of participants that the article might have relied on are unavailable to us in the source material, and citing them here would be conjecture.

The notable response the topic drew on Hacker News — 109 votes and nearly six dozen comments — shows that the question of just how sustainable the current investment frenzy around artificial intelligence is, and what will happen when borrowed money grows more expensive, remains one of the most discussed at the intersection of technology and finance.

Source: Hacker News