Vitalik Buterin supports data center slowdown as AI tokens fall 30%

4 min

Vitalik Buterin argued that slowing the AI data center buildout is likely beneficial and low-cost as AI-linked crypto tokens sell off and policymakers weigh restrictions. AI tokens underperformed Bitcoin and Ether over the past month, and Ethereum trades below key moving averages.

Buterin’s case for slowing AI compute growth

I know this is a predictable opinion from me but I don't agree with the strong emotional reaction against the anti-data-center movements that I've seen this week.

As I see it, algorithmic progress means that whatever you would be able to do with more and bigger data centers in 2…

— vitalik.eth (@VitalikButerin) November 8, 2026

Delay is short: algorithmic progress can let today’s data centers achieve in about four years what larger facilities could do in two.
Time is useful: extra time helps harden cybersecurity and address biological risks.
Limited impact on science: many bottlenecks exist outside AI, so a one-year AI slowdown delays broader progress by less than a year.

He concluded that slowing compute hyper-scaling is net positive and low risk. The view aligns with his 2023 “d/acc” thesis that prioritizes accelerating defensive technologies first, outlined in My techno-optimism: link.

Policy backdrop: local restrictions and calls for a moratorium

Voters in 10 states decided 41 local ballot measures on data centers on November 3, according to Ballotpedia. Twenty-eight measures would limit building through bans or moratoriums if approved. After the vote, Senator Bernie Sanders called for a national data center moratorium. Several Democrats are pushing to rein in AI buildouts, reported by CNBC.

AI token market: deflation of the AI trade

Seven large AI tokens fell 29.7% on average over 30 days versus Bitcoin’s 10.7% decline. CoinGecko valued the AI token sector at 18.9 billion dollars: link.

Hardest hit: Worldcoin WLD down 43.2 percent, Artificial Superintelligence Alliance FET down 37.5 percent, NEAR down 33.9 percent.
Best of the group: Render RENDER down 17.1 percent, still more than Ether’s 16.1 percent drop.
From recent highs: Internet Computer ICP trades 74.8 percent below its high of the past year, Virtuals Protocol VIRTUAL 67.4 percent below, FET 63.9 percent below.

Chip stock weakness last week coincided with Bitcoin falling below its 200-day average. AI tokens, which climbed fastest on AI enthusiasm, are leading on the way down. Local data center bans add risk for tokens tied to compute supply. Buterin’s argument implies algorithmic gains can sustain AI demand on current hardware even with a slower buildout.

Ethereum price analysis

Ether trades at 2,104 dollars on Binance, down 16.1 percent over 30 days. Price touched 2,060 dollars late Sunday, the lowest since August 19. ETH is below both daily EMAs. The 200-day EMA stands at 2,311 dollars and the 50-day EMA at 2,370 dollars.

Resistance: 2,246 dollars from Sunday’s high, then 2,311 dollars at the 200-day EMA. Above that, 2,450 dollars from Wednesday’s high.
Support: 2,060 dollars from Sunday’s low. Below that, 1,854 dollars from the August 11 low.

ETHUSDT 1D chart. Source: TradingView.

Outlook	Trigger	Level to watch
Rebound	A daily close above 2,311 dollars	2,450 dollars from Wednesday’s high
Holding pattern	ETH stays between 2,060 and 2,311 dollars	Range develops below both EMAs
Sell-off	A daily close below 2,060 dollars	1,854 dollars from the August 11 low

Takeaway

AI policy headwinds and chip equity weakness are pressuring AI-linked crypto assets. AI tokens led on the way up and are leading the drawdown. ETH sits below key averages with defined support and resistance. Policy developments on data centers and the pace of AI infrastructure will remain key drivers for AI-related crypto valuations.