Why Are AI Crypto Tokens Crashing? NEAR, TAO and RENDER Plunge as AI Selloff Spreads

Artificial intelligence tokens were supposed to be crypto's safest growth story in 2026. On October 23, that narrative took its hardest hit of the year: NEAR Protocol plunged 9% in 24 hours, Bittensor's TAO shed another 8%, and Render Network dropped 7% — all falling much harder than Bitcoin's 4% slide on the same day. The selloff wasn't really about crypto at all. It started on Wall Street, where a brutal repricing of AI infrastructure spending spilled into the Nasdaq, and it was amplified inside crypto by Bittensor's deepening governance crisis. The question now dividing traders: is the AI-crypto trade dead, or is this the dip that smart money waits for?

What Happened: AI Tokens Fall Harder Than the Market

Thursday's session was ugly across risk assets, but AI-linked crypto tokens absorbed the worst of it. Here's how the damage compares:

• NEAR Protocol (NEAR): down 9% in 24 hours to around $4.94, with a market cap near $6.6 billion — the sharpest drop among large-cap AI tokens.
• Bittensor (TAO): down 8% on the day to roughly $239, extending a fall of more than 24% in a single week after trading above $300 just days earlier.
• Render Network (RENDER): down 7% to about $1.77, with its market cap sliding under $1 billion.
• Internet Computer (ICP): slipped roughly 3% to around $3.44, holding up better than its AI-sector peers.
• Bitcoin and Ethereum: fell about 4% and 2.1% respectively — significant, but clearly softer than the AI-token route.

That divergence matters. When a sector consistently falls twice as far as Bitcoin on the same news, it is telling you something about how the market prices it — and AI tokens are priced as high-beta bets on the AI boom, not as independent crypto assets.

Why AI Crypto Tokens Trade Like Levered Tech Stocks

The first thing to understand is that "AI tokens" is a Wall Street story wearing a crypto costume. Funds that buy NEAR or TAO are typically the same funds that buy Nvidia, Broadcom, and semiconductor ETFs. They model these tokens against AI capital-expenditure expectations, not against Bitcoin's halving cycle. That means when the Nasdaq falls 2.6% and the Philadelphia Semiconductor Index collapses 6.7% in a single session — as happened on Thursday — AI tokens don't just follow; they amplify.

This beta effect explains why NEAR's 9% drop looked so violent next to Bitcoin's 4%. Leverage made it worse: roughly $436 million to $474 million in crypto futures positions were liquidated over 24 hours, with about 89% of those being long positions. Forced selling in thin AI-token order books turns a tech-stock wobble into a crypto-sector crash.

Driver #1: Wall Street's AI-Valuation Scare

The macro trigger was a full-blown reassessment of how AI infrastructure gets financed. Meta shares fell 7% despite beating revenue expectations, because the company plans new share issuance to fund its AI expansion — a signal that even the richest companies must dilute shareholders to pay for the AI buildout. Nvidia slipped 4.4% as investors weighed the spending risks. Across the market, the question shifted from "is AI demand strong?" to "who pays for the AI buildout, and at what cost of capital?"

That financing anxiety is poison for AI tokens specifically. The entire investment case for networks like Bittensor, Render, and NEAR rests on decentralized alternatives capturing a slice of global AI compute spending. If Wall Street suddenly doubts the economics of centralized AI infrastructure spending, decentralized AI projects get marked down even harder — guilty by association, then punished again for illiquidity.

Driver #2: Bittensor's Governance Crisis — the Covenant AI Exit

While NEAR and Render were hit by the macro wave, Bittensor is fighting a second, crypto-native battle. On Friday, October 16, prominent subnet developer Covenant AI announced it was exiting Bittensor and its subnets entirely, citing "centralized control." TAO shed over 25% within hours as long positions were liquidated in a cascade.

The accusations were blunt: Covenant AI alleged that revenue streams were halted without prior notice, that governance had been stripped from the community, and that infrastructure changes were imposed top-down by a small group of actors. "Controlled by a few actors, not decentralized" became the rallying cry of TAO's critics. Covenant-72B — a large language model trained through contributions from over 70 participants on consumer-grade hardware — was one of the ecosystem's flagship achievements, and its exit struck at the heart of Bittensor's decentralization story.

Bittensor co-founder Steeves publicly apologized and acknowledged the failure, proposing a protocol-level upgrade called "Locked Stake" that would tie subnet control to time-locked TAO — making team commitment verifiable on-chain instead of relying on trust. Ironically, the proposal was reportedly one of the last initiatives Covenant's Dare worked on before leaving. The idea: subnet owners would signal long-term conviction through the duration of their token lock, giving investors predictability before committing capital, and teams would compete on commitment, not just technical performance.

A community discussion on the proposal is scheduled for the Bittensor Discord, and the technical recovery path looks credible — the subnets are open-source, so rebuilding is genuinely possible. But markets price governance crises with a lag. A week after the exit, TAO was still bleeding — down to $239 from above $300 — because each macro shock now lands on a token already wounded by an internal trust crisis.

NEAR: From a 245% Rally to a 9% Reality Check

NEAR's crash is especially jarring because it had been one of crypto's standout stories of the quarter. As covered in our earlier analysis of why NEAR Protocol's 245% rally happened, the token had been lifted by ETF inflow speculation, growth in its "Intents" cross-chain transaction product, and a supply-side squeeze. Those fundamentals haven't disappeared — but high-beta assets give back gains fastest when sentiment flips, and NEAR's rally left it with the most to lose.

The good news for NEAR holders: nothing in Thursday's selloff was NEAR-specific. No governance scandal, no exploit, no unlock. It fell because the sector fell. Historically, the cleanest names in a sector panic are the first to recover when the macro turns — which is exactly what dip-buyers are now weighing.

Render, ICP and the Rest: Collateral Damage or Broken Thesis?

Render's 7% drop and ICP's milder 3% slide look like pure collateral damage — neither project had negative idiosyncratic news. Render's thesis (decentralized GPU rendering for AI workloads) and ICP's (decentralized cloud compute) are genuinely tied to AI infrastructure demand, so a repricing of AI capex hits them directly.

The uncomfortable question is value capture. Critics argue that even if decentralized AI compute grows, token prices don't have to follow — networks can grow usage while token velocity absorbs the gains. Supporters counter that staking, fee burns, and supply caps create real scarcity: over 70% of circulating TAO is staked, and Bittensor's first-ever halving is approaching, which will permanently cut new supply. Both sides can be right at different times. The selloff is forcing the market to decide which side it's on.

What History Says About AI-Token Selloffs

This isn't the first AI-token panic. The pattern from previous cycles is consistent: AI tokens crash hardest on tech-stock selloffs, then rebound fastest when sentiment stabilizes — because the underlying AI demand trend has never actually reversed, only been repriced. TAO itself demonstrated this recently: after the broader October market crash, it rallied 35.7% in a fortnight to multi-month highs near $435, with daily volumes above $400 million, while Bitcoin and Ethereum were still licking their wounds.

The catch is that recoveries are selective. Tokens with real usage growth and tightening supply snap back; narrative-only tokens stay down. The market's post-crash sorting hat is usually brutal and usually correct.

The Bear Case: Why the AI-Crypto Trade Could Stay Dead

Bears have three arguments, and all deserve respect. First, compute is centralizing, not decentralizing: hyperscalers are building AI infrastructure at a scale no tokenized network can match, and the financing scare shows how capital-intensive that race is. Second, governance crises like Bittensor's feed the centralization critique — if the "decentralized" AI network is controlled by a few actors anyway, why pay a decentralization premium? Third, token unlocks and emissions still overhang several AI names; every rally faces a wall of supply from early investors and team allocations.

As one framework for thinking about risk, our guide on whether Bitcoin is a good investment in 2026 walks through how to size positions in volatile crypto sectors — the same discipline applies double to AI tokens.

The Bull Case: Why This Dip Could Be Bought

Bulls answer with demand data, not narratives. AI compute demand is still growing at a pace that strains even hyperscaler capacity — and the financing scare is about who pays, not whether demand exists. For decentralized networks, cheaper tokens mean cheaper compute for AI developers, which can actually accelerate usage even as prices fall. Staking participation above 70% on TAO shows long-term holders aren't flinching. And Bittensor's upcoming first halving is a genuine supply shock that no equity-market selloff can cancel.

Valuation also matters now in a way it didn't at the highs. TAO at $239 is 45% below its recent multi-month high. NEAR's pullback has erased a meaningful chunk of its rally premium. If the October 27–28 Fed meeting comes in dovish — or even just not hawkish — high-beta assets historically snap back first, and AI tokens are the highest-beta game in crypto.

What to Watch Next

• The October 27–28 FOMC meeting: the single biggest macro variable. A hold with dovish language would likely ignite a relief rally in AI tokens; any hawkish surprise extends the pain.
• Bittensor's Locked Stake vote and Discord call: if the community rallies behind the proposal, it could mark the governance bottom for TAO.
• TAO's first halving: a hard-coded supply cut approaching on the calendar — watch staking ratios and miner economics into it.
• Key price levels: NEAR needs to hold the $4.80 zone to avoid a deeper correction toward $4.20; TAO's $230–240 area is now make-or-break support after the Covenant exit breakdown; Render must reclaim $1.85 to stabilize.
• Nvidia and semiconductor earnings: the next round of Big Tech results will either confirm or calm the AI-capex financing fears driving the whole move.

If you're accumulating through this volatility, make sure your setup is secure first — our comparison of the best crypto wallets for beginners in 2026 covers hot vs cold storage for long-term AI-token positions.

FAQs

Why are AI crypto tokens crashing today?

Two overlapping drivers: a Wall Street repricing of AI infrastructure spending (Meta's share issuance plans, Nvidia's slide, a 6.7% semiconductor rout) that hammered high-beta assets, and Bittensor's internal governance crisis after Covenant AI's exit, which has kept TAO bleeding for a week.

Why did AI tokens fall more than Bitcoin?

AI tokens trade with high beta to tech stocks — funds price them against AI capex expectations, not crypto fundamentals. On risk-off days they amplify Nasdaq moves, and leveraged long liquidations (about $436 million in 24 hours, 89% longs) magnified the drops in thinner order books.

What happened with Covenant AI and Bittensor?

Covenant AI, a prominent Bittensor subnet developer behind the Covenant-72B model, exited the network on October 16 alleging centralized control — halted revenue without notice, stripped community governance, and top-down infrastructure changes. TAO crashed ~25% within hours. Co-founder Steeves apologized and proposed a "Locked Stake" upgrade tying subnet control to time-locked TAO.

Is the AI-crypto narrative dead?

The demand trend (AI compute needs) hasn't reversed — only the financing narrative wobbles. Historically, AI tokens rebound fastest when tech sentiment stabilizes. The risk is selective: tokens with real usage and tightening supply recover; narrative-only tokens don't.

Should I buy the dip in NEAR, TAO, or RENDER?

NEAR fell on sector contagion with no project-specific damage, making it the cleanest recovery candidate; TAO is cheaper but carries governance risk until the Locked Stake proposal resolves; RENDER sits in between. The October 27–28 Fed meeting is the near-term catalyst that will likely decide the next big move — position sizing and secure storage matter more than timing the exact bottom.

What is Bittensor's halving and why does it matter?

Bittensor is approaching its first-ever halving, which will permanently cut the rate of new TAO issuance. With over 70% of circulating supply already staked, a supply shock against steady demand is historically bullish — though macro headwinds can delay the effect.

Conclusion

October 23, 2026 will be remembered as the day the market separated AI-token tourists from believers. The crash has two honest explanations — a tech-stock valuation scare and a real governance crisis at Bittensor — and neither is fatal to the underlying thesis that decentralized AI compute has a future. But the easy money phase is over: from here, AI tokens will have to earn their rebounds with usage growth, resolved governance, and favorable macro. Watch the Fed meeting on October 27–28, watch Bittensor's community vote, and remember the oldest rule in crypto — the assets that fall hardest on fear are often the ones that rise fastest when it fades.