Michael Saylor, the prominent Bitcoin advocate and executive chairman of Strategy, recently pushed back against a growing concern in crypto circles that advances in artificial intelligence make holding Bitcoin too risky because AI could more easily hack crypto applications.
In a post on X, Saylor wrote, “There’s no reason to own Bitcoin because AI can hack a crypto app is like saying there’s no reason to speak English because AI can hack a messaging app.”
Saylor draws a sharp distinction between Bitcoin itself and the advanced technology software people use to interact with it. Bitcoin is a decentralized protocol secured by cryptography, proof-of-work consensus, and a global network of nodes.
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Crypto apps wallets, exchanges, and interfaces are applications built on top of that protocol. They can be vulnerable to hacks, phishing, or sophisticated AI-assisted attacks, just as messaging apps can be compromised without making the English language itself worthless or obsolete.
Saylor’s point is that Bitcoin’s value and usefulness don’t disappear simply because the tools people use to hold or transfer it can be attacked.
Similarly, he argues that investors should not abandon Bitcoin because of application-layer risks. The comparison drew mixed reactions. Supporters saw it as a clear way to separate protocol-level resilience from user-interface weaknesses.
Critics on the other hand called it a false analogy, noting that Bitcoin’s investment case depends heavily on the ability to securely own and transfer the asset. If custody solutions are routinely compromised, the practical value of holding Bitcoin is undermined even if the base layer remains intact.
Saylor’s comment comes as Artificial intelligence is increasingly becoming a tool for cybercriminals targeting the cryptocurrency industry, raising concerns about the security of digital assets, blockchain networks, and crypto platforms.
As AI technology advances, malicious actors are finding new ways to automate attacks, identify vulnerabilities, manipulate unsuspecting users, and exploit weaknesses in cryptocurrency infrastructure.
Unlike traditional cyberattacks, which often require considerable technical expertise and manual effort, AI-powered tools can help attackers analyse large volumes of data, generate convincing phishing messages, and develop sophisticated social engineering schemes.
These capabilities make it easier for criminals to impersonate cryptocurrency exchanges, wallet providers, and influential figures in the digital asset industry to deceive users into revealing sensitive information or transferring funds.
AI is also creating new challenges for cryptocurrency security teams. Attackers can use automated tools to identify potential weaknesses in smart contracts, analyse publicly available blockchain data, and adapt their tactics as security systems evolve.
While these techniques do not automatically translate into successful hacks, they can increase the speed and scale at which criminals search for opportunities to exploit vulnerabilities.
The growing use of AI in crypto-related attacks also extends to identity impersonation. Criminals can generate realistic images, videos, and voice recordings of executives, investors, and other prominent industry figures to promote fraudulent investment schemes or convince victims to authorise transactions.
As these tools become more accessible, distinguishing legitimate communications from sophisticated scams is becoming increasingly difficult. However, AI is not exclusively a tool for cybercriminals.
Cryptocurrency companies and blockchain security firms are also deploying AI to detect suspicious transactions, identify unusual wallet activity, monitor smart contracts, and respond to potential threats.
This has created an evolving cybersecurity landscape in which attackers and defenders are both using increasingly sophisticated technologies.
As AI adoption expands across the cryptocurrency ecosystem, the industry faces the challenge of strengthening its security infrastructure against emerging threats.
Exchanges, wallet providers, blockchain developers, and individual investors must increasingly prioritise security audits, transaction verification, multi-factor authentication, and continuous threat monitoring
Notably, amidst all of these, Saylor has long emphasized Bitcoin’s role as digital property and a long-term store of value. His company has accumulated a large Bitcoin treasury, and he frequently frames the asset as superior to traditional financial systems in terms of scarcity, verifiability, and resistance to seizure or inflation.
In this light, his recent statement fits his consistent messaging: technological threats at the edges do not invalidate the core thesis. The discussion reflects a broader tension in the industry as AI capabilities grow.