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CZ’s Exclusive AI & Crypto Predictions: Binance Founder Speaks!

CZ’s AI-crypto convergence bet: faster payments and RWAs

Binance founder Changpeng Zhao (CZ) used Binance’s ninth anniversary to make a blunt prediction: AI and crypto payments could start coming together in months, not years. Months. That is the part worth underlining. If he is right, stablecoins and programmable money stop looking like specialist tools for crypto desks and start looking more like payment rails for a hotel booking, a SaaS invoice, or a checkout flow that never touches Visa or Mastercard directly.

CZ's Exclusive AI & Crypto Predictions: Binance Founder Speaks!

At the event, CZ talked about where crypto could go over the next decade. AI payments were high on his list. So were tokenized real world assets (RWAs), blockchain finance, and the long tail of products that still feel awkward in traditional banking. He also looked back at Binance’s start in 2017. The exchange was rough then, especially around user experience and security, but it moved quickly on early ICOs and new tokens. That speed helped Binance become the world’s largest crypto exchange by trading volume within five months.

CZ said that if he could talk to his 2017 self, he would tell him to take law, regulation, and politics much more seriously. Most founder retrospectives say “move faster.” This one had a sharper edge: move faster, yes, but don’t treat regulators as background noise. Binance focused first on product and user protection, and it underestimated how messy global regulation would become, especially with some US laws reaching beyond US borders. He also said Binance should have shipped some products sooner. Futures, for example, arrived two years after Binance launched. In his view, faster releases and quicker user feedback would have helped.

The former CEO said Binance stayed ahead because of its products, security work, market timing, and its mission of “increasing the freedom of money.” He also credited the global crypto community. Binance’s ninth anniversary theme, “Built by You,” was aimed at the volunteers and users who helped build the ecosystem around it. My take: that is not just anniversary language. A broad user base is harder to pressure than one company, even if the company still takes most of the heat.

CZ pushed back on the idea that crypto is already saturated. He said less than 1% of global wealth has moved into cryptocurrencies. If that number is even close, the market still has room. A lot of room. Traditional finance is still dealing with inflation, rate hikes, and cautious capital. Crypto keeps pulling in money, slowly and unevenly, despite the volatility. CZ pointed to fiat on-ramps and off-ramps as a persistent pain point. Stablecoins also still struggle to offer yield and liquidity at the same time. Why does this matter? Because fixing those two problems could pull more institutional and retail money into BTC and ETH first, before the benefit spreads further out.

His most interesting call was about AI and crypto payments. CZ said AI tools can already find good hotels or flights, but they usually stop before the payment step. He thinks that gap could close in months. The usual advice is to ignore crypto payment predictions until real users show up. That is only half right. If AI agents start buying things for users, they will need a payment method that is programmable, global, always on, and not trapped inside one banking geography. Crypto fits that job better than credit cards. I’ll be honest: I would not call it inevitable. But the logic is not hard to follow. If this starts working in real products, crypto payments could become normal within one to two years. That would change demand for stablecoins and some altcoins quickly.

CZ also described AI as both useful and dangerous for blockchain security. Better models can scan smart contracts and catch bugs quickly. The same tools can help attackers find weak spots. We tried. It broke. That is the uncomfortable security pattern here: every defensive tool eventually becomes part of the attacker toolkit too. That puts pressure on developers to build stronger security tools now, before the next exploit. AI could also help blockchains run more efficiently, process more transactions, and lower fees. For networks like Ethereum, that matters. Users notice gas fees right away.

Looking ahead, CZ pointed to two crypto markets that still feel early: credit and debt, and tokenized real world assets. Compared with traditional finance, crypto lending and debt markets are still small. He expects bonds, funds, real estate, and other financial products to keep moving on-chain. Counter to the usual advice, the next RWA story may not be about one huge US platform winning everything. The RWA market is still heavily focused on the US, so the next step is broader geographic reach and more asset types. Is this overkill for crypto investors to track? No, because that shift could bring in institutions and push demand toward certain Layer 1 chains and DeFi platforms.

CZ also said he underestimated stablecoins. At first, he saw them mostly as a temporary tool for moving money between exchanges. After leaving the CEO role, he spent more time on RWA tokenization and even advised national governments. His view now is that traditional finance and crypto finance will merge into the same system, the way email replaced much of postal mail. Yes, the email analogy is doing a lot of work. Still, his point is simple: crypto is not just a trade. He sees it as permanent infrastructure, closer to the internet or AI than to a passing investment theme.

What this means

CZ’s timeline for AI-powered crypto payments is aggressive. Months, not years, is a hard bar to clear. Product launches will decide this. If AI agents begin making purchases through crypto wallets, stablecoins and programmable money would get a real use case outside trading. Traders should watch for AI payment tools and wallet integrations. They should also watch partnerships between agent platforms and crypto payment providers. Speeches are cheap; working checkout flows are not.

The mix of AI payments and tokenized real world assets could move digital assets away from pure speculation and closer to financial infrastructure. My take: the RWA side may be less flashy, but it is probably easier for institutions to justify than agentic shopping bots. Investors should track RWA platforms, especially outside the US, and watch how regulators handle tokenized bonds, funds, real estate, and adjacent credit products. The next 6 to 12 months should be telling. If CZ’s timeline is right, we should see actual product launches, not just panels or demos. Vague partnership announcements will not be enough.