Binance co-founder Changpeng “CZ” Zhao shared a long-range optimism for crypto and blockchain, arguing they will become an invisible layer of everyday infrastructure by 2031. In a recent appearance on Scott Melker’s Wolf of All Streets podcast, Zhao said that while new use cases will continue to emerge, the technology should fade from the conversation as it becomes ubiquitous in daily life. “I’m hoping that we don’t talk about crypto as crypto in five years, just like we don’t talk about the internet anymore,” he said, adding that in five years he expects to be using crypto rather than discussing the technology itself.

Beyond his own timeline, Zhao tied the future of crypto to broader adoption trends, AI-driven acceleration, and national policy choices. The discussion touched on a cascade of forecasts from research firms and industry figures that paint a picture of a rapidly expanding ecosystem where stablecoins, tokenization, and AI-enabled tooling could reshape how finance and data markets operate.

Key takeaways

• Long-run vision: CZ envisions a future where crypto is ubiquitous and no longer discussed as a separate technology, much like the everyday use of the internet.
• Growing adoption and outsized market forecasts: DemandSage cites hundreds of millions of crypto users by the end of the decade, while ARK Invest and others project multi-trillion-dollar outcomes for digital assets in the 2030s.
• Stablecoins and tokenization on the path to scale: Chainalysis and Citi highlight potential surges in stablecoin volumes and cross-border/tokenized post-trade activity amid a broader shift in market infrastructure.
• AI as a catalyst for development: Zhao sees AI accelerating blockchain development and adoption, with crypto playing a key role in AI-enabled ecosystems.
• Policy and geography as competitive levers: Switzerland’s crypto-friendly stance and UAE’s AI-led adoption, alongside US leadership in AI infrastructure, frame a fragmented but converging global landscape.

The optimistic trajectory: 2030 and beyond

The interview sits within a chorus of expectations about crypto’s role in the global economy. DemandSage estimates that 559 million people worldwide will be using crypto in 2026, suggesting a broad base of participants that could fuel further institutional interest and product innovation. Meanwhile, Ark Invest has painted a bold future: a January report argues digital assets could grow into a $28 trillion market by 2030, underscoring a view that the asset class may reach a scale comparable to major financial sectors today.

Other voices add to the optimism. Reeve Collins, co-founder of Tether, has suggested a future where stablecoins become a standard medium of exchange and possibly even a foundation for most currencies by 2030. In parallel, Chainalysis has estimated that stablecoin volumes could reach as much as $1.5 quadrillion by 2035, illustrating a potential trajectory for on-chain liquidity and cross-border settlement. A Citi survey of banks and asset managers last September found that a significant share expect about one-tenth of the global post-trade market turnover to be settled in stablecoins and tokenized securities within five years, signaling a shift in how markets operate at scale.

For investors, these forecasts translate into upside potential across a spectrum of players—from wallet providers and exchanges to tokenization platforms and custodians. Yet they also raise questions about how quickly infrastructure, regulatory clarity, and off-chain data networks can keep pace with a demand signal that is already being built now.

AI as a speed supersonic for blockchain

Beyond macro adoption, Zhao highlighted AI as a key accelerant for blockchain development. He argued that the speed at which developers can write code and deploynew features will accelerate as AI agents become more integrated with crypto tooling. He has previously urged the crypto community to emphasize utility over token incentives, a stance he reiterated as AI-driven capabilities begin to reshape development cycles and product timelines.

The notion that AI could turbocharge blockchain aligns with broader industry observations. A March discussion around AI agent-enabled tokens touched on the tension between rapid innovation and meaningful utility. If AI-assisted approaches can lower friction in building decentralized applications and automating complex on-chain tasks, the resulting productivity gains could help scale networks and improve user experiences at a pace that outstrips traditional software development cycles.

Geopolitics, adoption climates, and who leads the pack

As adoption widens, the geographic and regulatory landscape remains diverse. Signzy ranked Switzerland as the most crypto-friendly country in a January evaluation, while Arkham highlighted Switzerland as a top innovating jurisdiction. The country’s regulatory posture and ecosystem maturity have been cited as favorable for early-stage and mature crypto projects alike, reinforcing the view that policy environments will matter as much as technology in determining which regions become crypto hubs.

Separately, a Microsoft AI report placed the United States at the forefront of AI infrastructure and frontier model development. Yet the study also noted that usage and practical deployment can lag behind in some regions; it singled out the United Arab Emirates as a standout in actual AI usage, underscoring how digitized, resource-rich economies can leapfrog into higher productivity with AI-enabled capabilities. The broader takeaway: national strategy and industrial policy around AI and blockchain will significantly influence who wins in a fast-evolving tech stack.

Industry observers are watching how these dynamics intersect with crypto’s evolution. The United Arab Emirates’ leadership in AI deployment and Switzerland’s crypto-friendly climate illustrate two distinct but complementary paths toward broader adoption: one anchored in public-facing, consumer-ready digital economies and the other in a regulated, institutional-friendly environment that can attract liquidity and innovation. Investors and builders will be looking for policy clarity, interoperability standards, and scalable on-ramp/off-ramp options as barriers to entry continue to shrink in many markets.

As Zhao’s long horizon suggests, the next phase of crypto’s story may be less about headlines and more about the practical integration of crypto rails into everyday infrastructure. With demand signals pointing toward substantial growth and institutional interest likely to intensify, the outcomes will depend on how quickly ecosystems can deliver secure, compliant, and user-friendly experiences at scale.

What remains uncertain, and what readers should watch next, is how quickly policymakers harmonize global standards around stablecoins, tokenized assets, and on-chain data governance; how commercial and technical ecosystems onboard mainstream users; and how AI-enabled tooling will shape the pace and direction of development across different jurisdictions. The coming years will reveal whether the industry can translate these optimistic forecasts into durable, real-world infrastructure that supports real economic activity.