Bitcoin Pioneer Reconsiders His Big Bet on Artificial Intelligence
Marc van der Chijs shifts part of his portfolio again
Early Bitcoin investor and technology entrepreneur Marc van der Chijs is reassessing the balance between two of this decade’s most important investment themes: cryptocurrency and artificial intelligence.
Van der Chijs had previously sold a substantial portion of his Bitcoin holdings as he increased his exposure to AI-related opportunities. Now, growing concern about the potential consequences of increasingly capable artificial intelligence appears to be influencing another portfolio adjustment. He is reportedly directing some of his investment profits back toward crypto.
The change is notable because it is not simply a debate over which asset class could deliver better returns. His concerns center on AI systemic risk and the possibility that highly capable autonomous technology could disrupt financial institutions, critical infrastructure and other systems on which the economy depends.
That creates an unusual investment thesis. Bitcoin may be volatile, but for investors worried about concentrated technological risk, its decentralized architecture can offer a very different form of exposure from companies building or relying heavily on artificial intelligence.
From an AI opportunity to an AI risk calculation
AI investment has accelerated dramatically as businesses race to deploy more capable models. Yet the same autonomy that can improve productivity can also create risks when software is given access to financial accounts, computer networks or important operational systems.
Van der Chijs’ changing stance illustrates that tension. The technology may still present enormous commercial opportunities while simultaneously creating risks substantial enough to influence how experienced investors allocate capital.
How Autonomous AI Could Threaten Financial Systems
Banking infrastructure presents an attractive target
The connection between AI and banking risk extends far beyond chatbots making mistakes. Modern financial markets depend on interconnected software controlling payments, trading, credit, cybersecurity and communications.
A sufficiently sophisticated autonomous agent could potentially search for vulnerabilities much faster than human attackers. If AI systems can independently write software, discover weaknesses and coordinate actions, cyberattacks could become cheaper and easier to scale.
That is where AI systemic risk becomes especially important. A failure affecting a small application may remain contained. A compromise involving payment infrastructure, a major bank or a widely used software provider could spread far more rapidly.
Financial institutions already spend heavily on cybersecurity and operational resilience. The arrival of increasingly autonomous AI raises the possibility of attack and defense becoming an accelerating machine-versus-machine competition.
Infrastructure failures could move beyond finance
Banks are only one part of the picture. Electricity networks, telecommunications systems, cloud infrastructure and transportation increasingly depend on interconnected digital platforms.
A severe disruption in one sector could consequently affect another. A communications outage can interfere with payments, while electricity failures can interrupt data centers. This interconnectedness helps explain why AI safety concerns are gradually becoming financial questions rather than remaining solely technical or ethical debates.
There is no certainty that such a scenario will occur. The concern is about the magnitude of potential damage if sophisticated autonomous systems behave unexpectedly or are deliberately weaponized.
Why Bitcoin Can Look Different in an AI-Dominated Economy
Decentralization changes the risk profile
Bitcoin is hardly a conventional safe haven. Its price can move sharply, market sentiment can reverse quickly, and regulatory developments remain influential. Nevertheless, Bitcoin decentralization gives the network characteristics that differ substantially from traditional centralized financial platforms.
The Bitcoin network does not depend on one bank, corporate server or management team to validate transactions. Thousands of independent participants enforce its rules, while miners compete to secure the blockchain.
For investors considering AI systemic risk, that structure can become part of the investment case. The argument is not that Bitcoin is immune to artificial intelligence. AI could be used to improve phishing, malware, social engineering and other attacks targeting cryptocurrency users and companies.
Instead, the distinction is that compromising individual users or businesses is different from changing Bitcoin’s underlying consensus rules.
Crypto becomes a diversification argument
This helps explain why moving investment profits from AI back into crypto does not necessarily represent rejection of artificial intelligence. It can instead represent diversification between systems with fundamentally different architectures.
AI companies usually rely on centralized organizations, proprietary models, cloud computing infrastructure and significant amounts of capital. Bitcoin operates through a distributed network governed by cryptographic rules and economic incentives.
That distinction may become increasingly valuable to investors who believe technological concentration itself represents a portfolio risk.
AI and Crypto Are Becoming More Closely Connected
Artificial intelligence is creating threats and defenses
The relationship between crypto and AI is more complicated than simply choosing one investment over another.
Recent developments have highlighted how AI-generated impersonation can target digital asset users. Deepfake videos, automated scams and convincing synthetic communications make it increasingly difficult to distinguish legitimate messages from fraudulent ones. Because cryptocurrency transactions are generally irreversible, successful deception can result in immediate financial losses.
At the same time, artificial intelligence can strengthen blockchain security. AI-assisted tools could help developers audit code, identify anomalies and detect potential software vulnerabilities before attackers exploit them.
Ethereum co-founder Vitalik Buterin has also discussed the potential for AI to assist developers with formal verification, potentially making it easier to mathematically establish whether software behaves according to its intended specifications.
Security may become an automated arms race
These opposing applications suggest that AI safety concerns cannot be reduced to a simple conclusion that artificial intelligence is inherently dangerous to cryptocurrency.
Attackers can gain better tools, but defenders can gain them too. What matters is how rapidly capabilities advance, who can access them and whether security systems keep pace.
For Bitcoin investors, this may strengthen the importance of self-custody practices, hardware security and verification of communications. Bitcoin decentralization protects the protocol from certain centralized failures, but it cannot prevent an individual from being deceived into authorizing a fraudulent transaction.
The Bigger Investment Lesson From the Portfolio Shift
Bitcoin’s role may evolve alongside AI
For much of its history, Bitcoin has been pitched under several narratives: electronic cash, digital gold, an inflation hedge and a speculative technology asset. The growth of autonomous AI could add another argument to that list.
Some investors may increasingly view decentralized assets as a hedge against dependence on centralized digital infrastructure. That thesis remains speculative, and a major technology crisis could initially trigger investors to sell risky assets broadly, including cryptocurrency.
Bitcoin has not consistently behaved as a defensive asset during periods of financial stress. Investors therefore should not assume AI systemic risk would automatically send BTC prices higher.
Van der Chijs’ portfolio shift is more useful as an illustration of changing risk perception than as a Bitcoin price signal.
AI investment faces a new kind of scrutiny
The development also highlights a broader challenge for investors. The companies responsible for powerful AI models could generate enormous economic value, but their success may introduce risks that are difficult to quantify through traditional valuation methods.
That makes portfolio construction increasingly complicated. Investors are not merely estimating revenue growth or market share; they may also need to consider cybersecurity, concentration of computing power, regulation and the consequences of autonomous systems behaving unpredictably.
For crypto, that debate could prove significant. If concerns around centralized AI infrastructure continue growing, Bitcoin’s distributed design may attract attention from investors seeking exposure to a radically different technological model.
Frequently Asked Questions
Why is Marc van der Chijs investing in crypto again?
Van der Chijs reportedly sold a significant amount of Bitcoin to pursue opportunities related to artificial intelligence. Growing concerns about increasingly powerful AI systems have accompanied a decision to direct some investment profits back toward cryptocurrency, highlighting a changing assessment of technological and systemic risks.
Could artificial intelligence pose a risk to Bitcoin?
Yes, although the risks are nuanced. AI could enhance phishing, malware, deepfakes and automated cyberattacks targeting exchanges, wallets and individual users. However, Bitcoin decentralization means the underlying network does not depend on a single organization or server that can simply be compromised to control the protocol.
Is Bitcoin a hedge against AI systemic risk?
That remains an investment thesis rather than an established fact. Bitcoin’s decentralized architecture may appeal to people concerned about centralized technological infrastructure, but BTC remains highly volatile and can decline during periods of market stress. Its potential role as an AI-related hedge will depend on how both technologies and investor behavior evolve.