AI tokens lose 75 percent of value in 2025 as market selloff deepens

Highlights

AI tokens lost roughly 75% of their value year over year, erasing about $53 billion in market capitalization, signaling a sharp reversal from the sector’s prior boom.
The selloff accelerated toward year-end, with December alone accounting for nearly $10 billion in losses, reflecting deteriorating investor sentiment and reduced risk appetite.
Hype-driven growth proved unsustainable: after a 1,873% surge in 2023 and a 157% market cap increase to $55.5 billion, momentum faded as expectations normalized in 2025.

The downturn marks a decisive break from the explosive rally that once positioned AI tokens as one of the fastest-growing segments of the digital asset market.

Data compiled by CryptoPresales shows that the selloff accelerated toward the end of the year, with December alone accounting for nearly $10 billion in losses, as investor enthusiasm faded and liquidity conditions tightened across the broader crypto market.

From explosive growth to deep correction

The decline follows a period of extraordinary growth. By the end of last year, the combined market capitalization of AI and big data tokens had surged 157% to $55.5 billion, fueled by a staggering 1,873% rally in 2023. That surge was driven by optimism around machine learning, blockchain-based data infrastructure, and decentralized compute solutions.

However, that momentum did not extend into 2025. As hype cooled, traders began rotating out of smaller and higher-risk tokens. CoinMarketCap data indicates that by April, the sector had already lost 63% of its value, or about $44 billion. Although prices saw a modest recovery during the second and third quarters, they failed to return to previous highs.

At the time of reporting, the combined market capitalization of AI and big data tokens stood at approximately $16.8 billion, underscoring the scale of the correction.

Liquidity pressures and shifting sentiment

Analysts point to thinner liquidity, a steady influx of new token launches, and broader market pullbacks as key drivers of the downturn. These conditions left AI-focused projects particularly vulnerable, especially as speculative interest waned late in the year.

The rapid decline highlights how quickly sentiment can shift in emerging crypto sectors once narrative-driven demand fades. While AI remains a dominant theme in traditional technology markets, the tokenized version of that trade has proven far more volatile.

Looking ahead, market participants will be watching whether consolidation leads to stronger survivors or whether continued capital outflows further pressure valuations. The next phase for AI tokens may depend less on hype and more on demonstrable utility, sustainable liquidity, and real-world adoption.

We also reported that Bitcoin stabilizes as broader market searches for direction.

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