Tether CEO says AI bubble is Bitcoin’s biggest risk in 2026

cointelegraphPublished on 2025-12-18Last updated on 2025-12-18

Abstract

Tether CEO Paolo Ardoino warns that the biggest risk to Bitcoin in 2026 could be a potential AI bubble. He expressed concern that Bitcoin remains too correlated with traditional capital markets, making it vulnerable if the current AI investment boom leads to a stock market downturn. Ardoino believes that excessive spending on AI infrastructure and data centers could create a market bubble. If sentiment shifts in 2026, the resulting turmoil could negatively impact Bitcoin's price. However, he also noted that increased adoption by pension funds and governments may prevent the sharp 80% corrections seen in previous cycles. While bullish on Bitcoin and real-world asset tokenization, Ardoino is pessimistic about crypto innovation in Europe, criticizing its regulatory approach, and is skeptical of companies that function solely as digital asset treasuries without strong operational businesses.

Paolo Ardoino, CEO of Tether, the issuer of the world’s largest stablecoin, has raised concerns about how a potential AI bubble could affect Bitcoin by 2026.

Ardoino shared his outlook on Bitcoin (BTC) and the broader crypto industry on Thursday during the Bitcoin Capital podcast, co-hosted by Bitfinex Securities and Blockstream.

The executive said he sees Bitcoin “still too much correlated” to capital markets, thus potentially being impacted by the AI bubble, or a theorized stock market bubble growing amid the current AI boom.

“That is the so-called AI bubble, this concern about the fact that AI companies are spending too much money in AI infrastructure and data centers and trying to build a gazillion gigawatts of power and installing GPUs,” Ardoino said.

Ardoino predicts no sharp BTC corrections as seen in 2022 anymore

In a potential scenario where AI sentiment shifts in 2026, the associated stock market turmoil in the US could affect the price of Bitcoin, Tether CEO predicted.

Apart from AI bubble-associated risks, Ardoino sees no other major risks to Bitcoin performance in 2026 due to growing adoption by pension funds and governments.

Bitcoin (BTC) price chart since 2018. Source: CoinGecko

“So I would imagine that sharp corrections of 80%, like we saw in 2022 or early 2018, might not be the case anymore,” Ardoino predicted.

Ardoino also expressed bullishness on real-world asset (RWA) tokenization, saying that tokenized securities and commodities are “going to be massive.”

“The only downside I see is like. Bitcoin is for Bitcoin, right? You don’t want 99% of Bitcoin being institutionalized,” he said.

Ardoino bearish on Europe and “just treasury companies”

While remaining bullish on Bitcoin and tokenization in 2026, Tether CEO Paolo Ardoino expressed a far less optimistic view on crypto adoption in Europe and on certain developments in digital asset treasuries in the year ahead.

“I’m very bearish on Europe,” Ardoino said in the interview, arguing that the region continues to lag behind on innovation.

Source: Bitfinex

“Europe will always remain the last wheel of the cart whenever we talk about innovation. Europe is trying to regulate something that it doesn’t understand yet. That is very sad,” he added.

Ardoino pointed to the implications of the European Union’s Markets in Crypto-Assets Regulation (MiCA), which has intensified debate over centralized versus local oversight in the crypto sector.

Related: Europe reconsiders crypto oversight as ESMA centralization gains momentum

Tether has been among the most prominent companies to openly refuse compliance with MiCA, a stance that has led many European crypto asset service providers to delist the Tether USDt (USDT) stablecoin.

Addressing DATs, Ardoino said he’s “not very bullish” on crypto treasury companies that are “just treasury companies.”

“I think that you want a treasury company to have an amazing operational business,” Ardoino said, adding remarks about the Tether-backed Bitcoin company Twenty One:

“The aim for Twenty One is for Twenty One to be an amazing Bitcoin company that provides Bitcoin services and also has a Bitcoin treasury, a very important, big Bitcoin treasury.”

Trending Cryptos

Related Questions

QWhat is the main risk that Tether CEO Paolo Ardoino identifies for Bitcoin in 2026?

APaolo Ardoino identifies the potential AI bubble as the biggest risk for Bitcoin in 2026, as he believes Bitcoin is still too correlated to capital markets and could be impacted by a stock market downturn associated with a shift in AI sentiment.

QWhy does Ardoino believe sharp Bitcoin corrections like those in 2018 or 2022 are unlikely to happen again?

AArdoino believes sharp corrections of 80% are unlikely to happen again due to Bitcoin's growing adoption by pension funds and governments, which provides more stability.

QWhat is Paolo Ardoino's view on the European Union's approach to crypto regulation?

AArdoino is very bearish on Europe, stating that the region 'will always remain the last wheel of the cart' in innovation. He criticizes the EU for trying to regulate something it doesn't fully understand, specifically pointing to the Markets in Crypto-Assets Regulation (MiCA).

QWhat is Tether's stance on complying with the EU's MiCA regulation?

ATether has been among the most prominent companies to openly refuse compliance with the European Union's Markets in Crypto-Assets Regulation (MiCA), a stance that has led many European crypto asset service providers to delist its USDT stablecoin.

QBesides the AI bubble, what other major trend does Ardoino express optimism about?

AArdoino expresses strong optimism about real-world asset (RWA) tokenization, predicting that tokenized securities and commodities are 'going to be massive'.

Related Reads

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

In just 11 days, Bun's founder Jarred Sumner used Anthropic's Claude AI models to rewrite its million lines of code from Zig to Rust. This move sparked significant controversy, particularly from Zig's creator, Andrew Kelley, who publicly criticized Sumner's engineering practices and the decision to use AI for such a massive rewrite. Bun, a high-performance JavaScript/TypeScript runtime and rival to Node.js, was originally written in Zig. After Anthropic acquired Bun, the team encountered persistent stability and memory safety bugs in the Zig codebase. These issues, combined with Zig's strict policy against LLM-generated code, led to the decision to rewrite in Rust. The rewrite was executed using Claude AI tools at an estimated API cost of $165,000, dramatically reducing the expected time and financial cost. Andrew Kelley's response was scathing. He blamed the original bugs on poor engineering habits, calling Bun's Zig code a collection of "hacks on top of hacks." He expressed relief that Bun was no longer associated with Zig, fearing it would misrepresent the language and attract low-quality, AI-generated contributions. The tech community is divided; some view Kelley's critique as unprofessional, while others see it as a defense of engineering integrity. A major concern about the AI-driven rewrite is the resulting code quality. The translation from Zig left approximately 27,000 lines of unsafe Rust code, raising fears about long-term maintainability and technical debt. The debate centers on whether this project is a milestone in AI-assisted development or a future maintenance nightmare.

marsbit32m ago

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

marsbit32m ago

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

From Auto Finance to Bitcoin and Now AI: Cango's "What Not to Do" Strategy Cango, a Chinese auto finance platform that went public on the NYSE in 2018, is undergoing its third major transformation. After selling its entire auto business in 2024, it pivoted to become a large-scale Bitcoin miner, acquiring 50 exahash of mining rigs from Bitmain. However, its true goal was never Bitcoin, but owning and controlling energy infrastructure. Now, Cango is pivoting again. While most listed Bitcoin miners are leasing power to giant hyperscalers for AI training clusters, Cango is taking the opposite path. It has launched an AI inference subsidiary called EcoHash, focusing not on training but on distributed inference. The company's strategy hinges on the insight that over 70% of mining industry power is controlled by small, independent sites (10-50 MW), which are too small for hyperscalers but ideal for low-latency AI inference. Cango aims to partner with these small operators, providing the AI technology, customers, and financing through its EcoLink software layer, which can distribute workloads across sites for reliability. Cango maintains a hybrid model, running roughly 31.7 EH/s of Bitcoin mining for cash flow while aggressively cleaning its balance sheet—slashing long-term debt by 94.5% to $30.6 million and raising $75 million for its AI venture. Its first AI deployment will be at a 50 MW site in Georgia. The strategy faces skepticism, given the high costs of converting mining sites and the potential for an AI bubble. However, Cango's leadership believes discipline around "what not to do"—avoiding direct competition with hyperscalers in training—positions it to capture the long-tail demand for distributed AI inference power.

Foresight News49m ago

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

Foresight News49m ago

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

The article discusses how MicroStrategy's potential Bitcoin sales go far beyond the announced $1.25 billion "reserve-building capacity." It clarifies a key distinction in the company's "BTC Monetization Program": selling Bitcoin to *build* a new dollar reserve (the $1.25B cap) versus selling to *replenish* the existing USD Reserve after it's used for expenses like preferred share dividends. The recent $216M BTC sale for dividend payments was a "replenishment," leaving the headline $1.25B building quota untouched. The plan actually outlines three potential funding pools from BTC sales: 1) Building the reserve ($1.25B cap), 2) Covering preferred share/ debt costs (no specified cap), and 3) Funding buyback programs (up to $20B). This means the structured sales potential exceeds $30 billion, not including uncapped replenishment sales. The piece argues this marks MicroStrategy's shift from a passive "buy-and-hold" Bitcoin proxy to an actively managed entity using BTC as a balance-sheet tool to manage its complex capital structure (common stock, preferred shares, debt, reserve). This creates new dynamics and potential conflicts, as actions benefiting one part (e.g., selling BTC to pay dividends) may pressure another (e.g., undermining the "never sell" narrative). Investors must now parse the company's specific terminology ("build" vs. "replenish") to understand the true scope of future BTC sales, which is significantly larger than the market initially perceived.

marsbit55m ago

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

marsbit55m ago

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbit55m ago

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbit55m ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片