Vitalik Buterin Rejects Prediction That AI Could Halve Bitcoin Within Two Years

Ethereum co-founder Vitalik Buterin has publicly pushed back against one of the more alarming Bitcoin predictions circulating this month, taking the opposite side of a forecast that artificial intelligence could drive Bitcoin down by more than 50% within two years.

The exchange began when investor and AI-risk commentator Liron Shapira assigned a “50% confidence” level to his prediction that AI could weaken what users perceive as Bitcoin’s network security or robustness, triggering a sell-off that would cut the asset’s price in half. Buterin responded directly on X, arguing that the scenario conflates the kind of operational attacks software networks routinely absorb with the far rarer failure of a network’s underlying cryptography.

“I take the opposite side of that,” Buterin wrote on September 7. “My basic reasons are that I am quite optimistic about cybersecurity in the long term and I see the primary problem as being getting the transition, and I expect BTC to handle at least any issues that do not require social consensus well.”

## Transition risk, not cryptographic collapse

Buterin’s argument rests on a distinction that often gets lost in headlines about AI and Bitcoin security: the difference between attacks on the network’s surrounding software and a genuine break of its proof-of-work or hashing mechanisms.

Bitcoin’s architecture consists of several distinct layers. Full-node software verifies transactions and blocks. Mining pools coordinate hash power across the globe. Miners themselves run the specialized equipment that performs proof-of-work calculations. Communications infrastructure ties the whole system together. An attacker who compromises any of those layers — node software, wallet code, mining-pool coordination, or the connections between them — can cause real damage, but none of those attacks invalidates the design of Bitcoin itself.

AI could plausibly sharpen every one of those attacks. Machine-learning systems are already improving automated vulnerability discovery, code analysis, phishing, credential theft and malware development. Buterin does not dispute that. His point is symmetrical: defenders can use the same tools to review code, test updates and detect suspicious behavior before exploits ship.

In his view, client developers and mining pools can respond to AI-assisted operational attacks through ordinary software upgrades — a far easier path than an emergency alteration of Bitcoin’s monetary rules or transaction history. He described the probability of “actual breaks on hashes or PoW” as “tiny.” It is an assessment rather than a formal guarantee, and it does not cover every cybersecurity risk facing Bitcoin users, but it directly undercuts the mechanism Shapira’s forecast depends on.

## Proof of work is not the likeliest target

Bitcoin mining depends on SHA-256, the hash function used to process block headers and prove that miners performed real computational work. A direct cryptographic break would require an attacker to find a practical weakness that sharply reduces the work needed to produce valid hashes. Current generative AI systems have demonstrated no such capability. AI can automate attack discovery, but it does not automatically defeat established cryptographic functions.

Nor could an attacker take control of Bitcoin’s consensus by producing persuasive text or malicious code suggestions. Compromising individual wallets, exchanges or developers creates losses for victims, but it leaves the ledger’s rules untouched.

A recent incident illustrates the distinction. In July, Bitcoin Optech reported that a weakness in some COLDCARD-generated wallets produced insufficient key entropy and exposed affected funds to theft, with estimated losses exceeding 1,000 BTC at the time. The flaw involved wallet key generation — serious, but a matter of ecosystem software and custody rather than Bitcoin’s hash function or consensus rules. Incidents of that kind can shake confidence while leaving the network itself fully operational, which is precisely the category Buterin argues AI will mostly affect.

## The defender’s race

Bitcoin security groups have separately been racing to make sure defenders are not outgunned. In August, a coalition of industry firms asked leading AI laboratories to give vetted open-source security teams controlled access to advanced models, arguing that defenders need early access to the same tools sophisticated attackers may eventually wield. The proposed program included computing resources, secure testing environments and direct communication channels with laboratory security teams. Block, Coinbase, Strategy, MARA, Galaxy, BitGo, Brink and Trezor were among the supporters.

Researchers associated with the Bitcoin Policy Institute have framed the coming years as a difficult transition: the danger is not that AI will somehow solve Bitcoin’s proof of work, but that attackers could gain access to capable security tooling before defenders do.

## If the worst happened

Buterin also sketched what a deeper failure would look like. If an attacker could forge digital signatures or bypass proof-of-work requirements outright, developers would need to introduce new cryptographic standards and coordinate a broad network migration — one requiring node operators, miners, exchanges, custodians and users to agree on which software and transaction history to recognize. Disagreement could split the network. Quantum computing is the scenario most often discussed in this context, and it differs from Shapira’s AI claim because it threatens elliptic-curve signatures through a fundamentally different computing method rather than machine learning. Developers are already exploring quantum-resistant infrastructure, though timelines remain highly uncertain.

## The market shrugs

Bitcoin traded near $79,590 on September 7, down roughly 0.5% on the session, with an intraday range of about $79,460 to $80,494. There was no evidence connecting that movement to the Shapira–Buterin exchange; Bitcoin’s price responds to liquidity, ETF flows, derivatives positioning and macro data, not to probabilistic forecasts on X.

Shapira’s prediction specifies no technical attack, no affected software component and no sequence linking AI adoption to a 50% decline — it is a probability assigned to a narrative. Buterin’s response offers no formal risk model either, but it provides a concrete technical counterargument: most of what AI can plausibly do to Bitcoin falls into the category of patchable operational attacks, while a true break of SHA-256 or proof-of-work remains vanishingly unlikely.

At current market prices — Bitcoin at $79,397 (down 0.64% in 24 hours), Ethereum at $2,488.55 (down 0.51%), and Solana at $104.82 (down 1.52%), per CoinGecko data as of September 7, 2026, 12:00 UTC — the market appears to agree with the optimist.