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New Funding Trend in Artificial Intelligence Uses Chips as Collateral and Charges Higher Interest Than Credit Cards!
Startups and tech companies are entering a new era of smart borrowing, where AI chips act as collateral in financial transactions.
The promise of innovation now comes with interest rates of up to 13%, higher than those of traditional products.
This practice is becoming popular among developers of generative models and requires market attention. The era of artificial intelligence could also be the era of accelerated debt.
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Credit with Silicon as Collateral
With the increasing demand for chips like the Nvidia H100, companies are using these components as physical collateral for million-dollar loans.
This is a response to the high infrastructure costs for training AI models. This new dynamic transforms equipment into financial assets. The chip itself becomes a type of technological guarantee.
The Hype Is Debt as Well
The race for AI has created an environment of urgency and scarcity. Many businesses are taking loans to avoid falling behind in the generative model race.
This behavior resembles previous tech bubbles, where the promise of profit justified any cost.
Chips have become modern gold, and credit, the new fuel.
Assets That Depreciate Over Time
AI chips rapidly lose value with technological advancement. Using them as collateral brings the risk of accelerated depreciation, which can create imbalances in contracts.
Moreover, if the project does not yield returns, the debt becomes unpayable. The technological bet easily turns into an accounting liability.
A Debt Made in the Name of Innovation
Major players in the industry, including promising startups, have adopted this funding logic. It reflects the belief that AI will bring exponential profits, even if the initial price is heavy debt.
The boundary between innovation and indebtedness is becoming increasingly thin. Artificial intelligence may be smart, but credit is not always.
Will the Future Be Funded or Stalled?
If the practice expands uncontrollably, the AI sector may face a credit collapse like other speculative markets. Banks and investors must seek more sustainable financing models.
Otherwise, what was supposed to be a revolution could turn into a silent crisis. Technology may advance quickly, but debt runs even faster.
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