AI Investment Cycle Mirrors Check Kiting Fraud Structure
Circular funding patterns among AI companies create timing risks reminiscent of an old banking scam, raising concerns about market stability.
The massive wave of generative AI investment is displaying structural characteristics that echo check kiting, a form of financial fraud that exploits timing gaps to mask insufficient funds, according to a Forbes analysis.
The concern centers on circular investment patterns: Company A invests in Company B, which then purchases products from Company A using those same funds. This creates a complex web of financial interdependence among AI companies, with spending on hardware and software vastly outpacing actual revenue from external customers.
The check kiting parallel
Check kiting emerged as a fraud scheme that exploited the multi-day clearing time for paper checks in the banking system. Perpetrators would write checks from accounts with insufficient funds, deposit them in other accounts, and use the float time before checks cleared to create the illusion of available credit. The scheme worked by keeping multiple checks in motion between banks, essentially juggling a nonexistent balance.
The key vulnerability in check kiting was timing—the fraud only worked as long as the checks kept moving faster than the clearing system could catch up.
Why it matters
While current AI investments appear legal and comply with existing regulations, they share check kiting's fundamental risk: timing masking a lack of genuine profitability. Companies are borrowing and spending trillions while generating comparatively minimal revenue from outside their interconnected ecosystem. If the timing fails—if one major player can't meet obligations or external revenue doesn't materialize quickly enough—the entire structure could collapse rapidly, potentially triggering what the analysis describes as a "black swan" financial event affecting both stock markets and the broader economy.
The scale of entanglement
The AI investment structure is far more complex than traditional check kiting due to the number of companies involved and the unprecedented sums in play. Many participating companies are generating revenue but remain unprofitable while continuing to pour out massive expenditures. The insufficient revenue coming from outside this closed system creates a precarious foundation for the trillions being committed.
The analysis, first reported by Erik Sherman in Forbes, suggests this may represent the next major financial black swan event. Whether the timing of investments, product purchases, and revenue generation will align successfully remains uncertain—but if it doesn't, the consequences could be severe.
Details first reported by Erik Sherman for Forbes.
This is an original analysis by the Omega editorial team. Source reporting: AI Watch.
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