BitGo CEO Funds 100 BTC Wallet, Dares Anthropic's AI to Steal It

BitGo's chief executive has personally funded a publicly visible wallet with 100 bitcoin and issued a blunt challenge to Anthropic's AI: if it can break into the wallet, the funds are its to keep. The bounty-style test ties AI agents' offensive capabilities directly to real cryptocurrency assets and has quickly drawn attention across the crypto and AI security communities.

According to a Bitcoin News report, the challenge was issued by BitGo's CEO himself, and the wallet has already been funded, making the 100 bitcoin verifiable on-chain. The rules are simple — an AI that can defeat the wallet's security protections gets to walk away with the entire balance.

BitGo is a well-known cryptocurrency custody provider that safeguards large digital assets for institutional clients. Having its CEO personally set up such a wallet adds a degree of industry self-reflection to the test: even custodians want to know how dangerous AI-era attack methods really are.

Unlike lab exercises staged against simulated environments, this challenge targets real money. The AI must contend with actual key management, multi-signature controls and risk processes, where a single mistake means real losses — which makes the outcome far more meaningful than paper-based analysis.

The episode reflects a reality that is fast approaching: as AI agents move into payments, trading and custody, AI-driven attacks are shifting from concept to practice. The crypto industry has long relied on the assumption that attackers need human effort; AI may be eroding that assumption.

Anthropic has not yet publicly responded to the challenge, and there is no sign its AI has attempted to attack the wallet so far. What to watch next: whether the wallet stays intact, whether Anthropic takes the bait, and whether more institutions follow with similar tests.

Whatever the final result, the challenge has turned "can AI steal cryptocurrency?" from an abstract question into a visible, verifiable experiment — a rare real-world sample at the intersection of AI security and digital asset protection.