In mid-August, two events shook the world of artificial intelligence. OpenAI CEO Sam Altman <a href="https://www.theverge.com/ai-artificial-intelligence/759965/sam-altman-openai-ai-bubble-interview">recognized</a> that the situation on the market had signs of an investment bubble. Shortly thereafter, a sensational report from the Massachusetts Institute of Technology (MIT) came out, <a href="https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/">claiming</a> that 95% of attempts to implement AI in companies had failed. What is this - the beginning of the collapse of a multi-billion dollar industry and a repeat of the history of the dot-com <a href="https://oninvest.com/article/kakoe-budusee-ii-prorocit-diva-interneta-meri-miker-ne-uvidevsaa-puzyr-dotkomov">bubble</a>? More likely, the beginning of a new technology's collision with reality.

Failure or triumph: who will benefit from AI implementation

Since the end of 2022, the markets have been euphoric: each new generation of AI models causes bouts of optimism, and the quotations of AI-related technology companies are growing by tens and hundreds of percent. But beyond the hype and flashy headlines in the media and investor communities, there is another, more objective indicator - the behavior of the government and corporate bond market. Economist Denis Elakhovsky has studied the research and found out that after the releases of the largest AI models, long-term rates are falling - as if investors are laying down not for accelerated growth, but for risks and stagnation.

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Failure or triumph: who will benefit from AI implementation

Artificial intelligence and economic growth: market reaction to the release of new AI models