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20 September, 2026 / News / AI / Tags: visser, agents, jordi, bitcoin, artificial

Jordi Visser, with three decades of experience, outlines how artificial intelligence agents and blockchain could reshape cryptocurrency use cases beyond traditional liquidity drivers
Macro investor Jordi Visser has shifted toward a more constructive view of Bitcoin and the broader cryptocurrency market, citing the potential integration of artificial intelligence agents with blockchain infrastructure as a key driver of future expansion. Visser, previously noted for a cautious stance, now points to the transition of crypto assets from pure speculation toward practical applications as a primary reason for his changed outlook.
At the core of Visser’s assessment is the expected rise of advanced AI agents that interact directly with one another. He argues these agents will require payment and transaction systems distinct from existing traditional finance networks. Stablecoins along with blockchain platforms such as Ethereum and Solana are positioned to support high-speed exchanges between digital agents. Once AI agents begin executing transactions at scale, Visser anticipates their adoption within the crypto ecosystem could expand rapidly, particularly as consumer-oriented agents become more common.
Visser describes AI agents evolving beyond analytical tools into economic participants capable of handling purchases, payments, reservations and financial decisions. Digital wallets managed by these agents could gain importance, potentially leading to automated competition between corporate agents and individual consumer agents over pricing, privacy and transaction conditions.
While blockchain networks and stablecoins may facilitate agent-to-agent activity, Visser does not assign Bitcoin the same payment function. Instead, he frames Bitcoin primarily as a long-term store of value and a form of collateral. He notes that hundreds of millions of people have already selected it for digital value storage and that its ability to endure multiple market downturns demonstrates resilience.
Visser regards Bitcoin as one of the few assets likely to remain largely insulated from rapid technological disruption. Artificial intelligence may transform companies, business models and conventional investments at speed, yet Bitcoin, in his view, can serve as a stabilizing element and portfolio buffer. Its significance, he suggests, lies less in short-term inverse correlation with other markets and more in the probability that it continues to function as collateral and a source of stability within both crypto and traditional systems over decades.
Looking further ahead, Visser expresses high confidence that Bitcoin will still exist twenty years from now and that it ranks among the assets most likely to gain value across a thirty-year horizon.
Visser also highlights tokenization as a mechanism that could activate assets currently sitting idle in the traditional financial system. By enabling these assets to serve as collateral and supporting programmable transactions, tokenization may draw substantial capital into blockchain infrastructure. Platforms including Ethereum and Solana stand to benefit, with secondary positive effects expected for Bitcoin over time.
He observes that the earlier concentration of investor attention on artificial intelligence investments reduced the relative appeal of Bitcoin for those seeking higher near-term returns. However, strengthening ties between traditional finance and crypto, combined with growing real-world utility, could alter that dynamic.
The rise of AI agents may create additional demand for privacy-oriented projects and decentralized finance applications. Visser links increased interest in certain privacy-focused networks during September to the emerging themes of agent autonomy and confidentiality. Agents representing businesses could conduct transactions without revealing full identity or financial patterns to counterparties, elevating the value of such capabilities.
On a broader economic level, Visser notes that AI agents can boost productivity while rendering conventional employment and growth statistics less relevant. He cites his own firm, which employs fewer than fifteen people yet utilizes a number of digital AI agents approaching one hundred, as an illustration of how existing metrics may lag behind technological change.
Overall, Visser maintains that evaluating Bitcoin solely through global liquidity, interest rates or money supply is becoming less adequate. The combination of artificial intelligence and blockchain technology, he argues, is expanding genuine use cases and may allow crypto assets to perform with greater independence from traditional economic cycles.









