The artificial intelligence industry is revealing cracks in its narrative of unlimited growth. Top executives, such as Sundar Pichai from Google and Jensen Huang from Nvidia, are beginning to publicly admit what investors fear: the over-optimism fueling the current boom. The question now is not whether there is a bubble involving cryptocurrency and AI technology, but when this reality will become inevitable.
The Warning Signs No One Wants to See
Google’s launch of Gemini 3 was hailed as a significant breakthrough, breaking the “scalability wall” theory that haunted analysts. At the same time, Nvidia’s Blackwell GPUs sales skyrocketed, suggesting strong demand. However, there is a crucial detail: devices from six years ago, such as the A100 GPUs, are still fully operational in data centers, contradicting the narrative of rapid obsolescence that would justify ongoing investments.
The Invisible Bottleneck: Energy
While Wall Street celebrates capital expenditure figures, a silent crisis is approaching. Data centers fueling the AI revolution consume enormous amounts of energy, but gas turbine production capacity is fully booked until 2030. Energy supply constraints have created an invisible floor for infrastructure growth, a detail that optimists are reluctant to confront.
Pichai was not vague when warning that if the tech bubble bursts, no company will be immune. The outlook is bleak because costs are already reaching unsustainable levels—Microsoft’s capital expenditures are nearly 50% of its revenues.
The Economic Impact and Risk Concentration
The data centers driving this speculation accounted for 93% of GDP growth in the first half of the year. This concentration in a single sector, combined with structural energy limitations and signs of irrationality among industry leaders, mirrors patterns of previous financial bubbles. The job market is transforming, inflationary trends are emerging, but few question whether the expected returns justify the risks taken.
The reality is that the AI bubble may not be just an isolated speculative phenomenon but part of a broader dynamic encompassing cryptocurrency and technology markets, where illusion hits its structural limits.
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When the AI Illusion Meets the Limits of Reality: Signs of Speculation in Digital Markets
The artificial intelligence industry is revealing cracks in its narrative of unlimited growth. Top executives, such as Sundar Pichai from Google and Jensen Huang from Nvidia, are beginning to publicly admit what investors fear: the over-optimism fueling the current boom. The question now is not whether there is a bubble involving cryptocurrency and AI technology, but when this reality will become inevitable.
The Warning Signs No One Wants to See
Google’s launch of Gemini 3 was hailed as a significant breakthrough, breaking the “scalability wall” theory that haunted analysts. At the same time, Nvidia’s Blackwell GPUs sales skyrocketed, suggesting strong demand. However, there is a crucial detail: devices from six years ago, such as the A100 GPUs, are still fully operational in data centers, contradicting the narrative of rapid obsolescence that would justify ongoing investments.
The Invisible Bottleneck: Energy
While Wall Street celebrates capital expenditure figures, a silent crisis is approaching. Data centers fueling the AI revolution consume enormous amounts of energy, but gas turbine production capacity is fully booked until 2030. Energy supply constraints have created an invisible floor for infrastructure growth, a detail that optimists are reluctant to confront.
Pichai was not vague when warning that if the tech bubble bursts, no company will be immune. The outlook is bleak because costs are already reaching unsustainable levels—Microsoft’s capital expenditures are nearly 50% of its revenues.
The Economic Impact and Risk Concentration
The data centers driving this speculation accounted for 93% of GDP growth in the first half of the year. This concentration in a single sector, combined with structural energy limitations and signs of irrationality among industry leaders, mirrors patterns of previous financial bubbles. The job market is transforming, inflationary trends are emerging, but few question whether the expected returns justify the risks taken.
The reality is that the AI bubble may not be just an isolated speculative phenomenon but part of a broader dynamic encompassing cryptocurrency and technology markets, where illusion hits its structural limits.