Changpeng Zhao urged cryptocurrency buyers to avoid all-in bets on Bitcoin, saying people should not sell an apartment or another asset representing most of their wealth to purchase crypto. In a Clubhouse Q&A recorded in Bali on Aug. 23, 2026, the Binance founder instead recommended a measured dollar-cost averaging strategy: committing a fixed 1%, 5% or 10% of monthly income to large, established assets such as Bitcoin, Ethereum and Solana, without leverage.
Zhao’s guidance was framed as a departure from the circumstances surrounding one of his best-known personal decisions. He said he sold an apartment and bought Bitcoin in 2014, but stressed that the choice reflected his own conviction, financial position and ability to cover living costs even if Bitcoin fell to zero.
The distinction places personal risk capacity ahead of headline-grabbing returns. A property that accounts for most of someone’s wealth provides housing security and can be difficult to replace, while Bitcoin remains a volatile asset with large price swings. Zhao’s preferred approach would spread entry prices over time and limit the damage from buying near a market peak.
He also advised against leveraged trading and smaller tokens. Leverage allows traders to control a larger position with borrowed funds, but sharp moves can trigger forced liquidations before a market recovers. Zhao’s comments arrived after the source material described a roughly $3 billion wipeout in leveraged contracts during an Aug. 19 market squeeze, illustrating the risks associated with debt-funded positions.
A personal Bitcoin trade, not a template
Zhao did not disavow his 2014 Bitcoin purchase. Instead, he described it as a decision that should not be treated as a universal financial blueprint. His circumstances included a high level of conviction in Bitcoin and a lifestyle that was not dependent on the asset’s immediate price performance.
That is a materially different position from someone converting a primary residence, emergency savings or other essential holdings into cryptocurrency. Monthly purchasing plans offer a more limited way to gain exposure, particularly for people whose income arrives in regular installments.
Zhao’s preference for BTC, ETH and SOL also reflected a focus on assets with established networks, deep liquidity and long operating histories relative to the thousands of smaller tokens in the market. The approach does not remove market risk, but it avoids tying a personal balance sheet to a single entry point or a low-liquidity project.
He offered similar advice to younger people looking for direction in crypto: spend 30 to 60 minutes each day learning rather than relying on highly specific instructions to buy or sell an asset. Zhao said people should pursue questions several layers deeper than a broad prompt, rather than seeking quick trading tips. He cited the relatively low price of non-fiction books, including titles available for $9.99 on Amazon, as an accessible starting point for deliberate study.
Zhao revises his views on NFTs, meme coins and RWA
The Q&A also showed Zhao revisiting several areas he said he had underestimated or not prioritized earlier. He named non-fungible tokens, meme coins and the tokenization of real-world assets, commonly called RWA, as categories where his views have changed over time.
On RWA, Zhao said he was not focused on the sector around 18 months earlier. He later came to see advantages in putting traditional assets and financial claims on blockchain-based rails, including around-the-clock trading, greater transaction transparency, lower fees and global access.
Those features have helped make tokenized products a major focus for financial firms and blockchain developers, though implementation remains constrained by legal ownership rules, custody arrangements and local securities regulation. Tokenization can make settlement and transfer processes more efficient, but the underlying asset still needs a recognized legal structure and enforceable claims for holders.
Zhao applied that argument to Indonesia, saying the country lacks locally tokenized products in several categories. He listed domestic stablecoins, equities, property, gold, oil, rare earth minerals and government bonds as potential areas for development. He added that clearer regulation would be needed before such products could be issued and traded at scale.
His assessment favors practical assets and payment infrastructure over projects built primarily around online attention. It also points to a hurdle for countries seeking to build domestic Web3 markets: local tokenization requires more than blockchain technology. It requires regulatory frameworks that define issuance, ownership, reserves, disclosures and consumer protections.
Four-year cycle remains visible, catalyst uncertain
Zhao said the crypto market’s four-year cycle still appeared to be holding when current conditions were compared with those of four years earlier. Bitcoin crossed $80,000 in late August 2026, according to the source material, adding to a market environment where cycle comparisons have again become part of trading discussions.
He did not claim to know the next major market catalyst. Zhao said he had not anticipated the 2020 “DeFi Summer” six months before it happened, referring to the rapid expansion of decentralized finance applications that year.
The comment is a useful counterweight to rigid cycle predictions. Historical patterns can shape expectations, but market turning points often emerge from developments that are difficult to identify in advance, including regulatory decisions, product launches, liquidity conditions or new blockchain applications.
AI payments and human oversight
Zhao also discussed artificial intelligence as a potential participant in digital payments. He said AI tools could eventually execute routine actions such as bookings and transfers, and suggested crypto payments may fit such systems more easily than card networks that can require facial checks, SMS confirmations or other identity verification steps.
Autonomous payments would raise practical questions around spending limits, authentication, dispute resolution and the authority granted to an AI agent. Crypto transactions can offer programmability and continuous availability, though those benefits do not automatically solve consumer-protection or security issues.
Zhao said his own use of AI has shifted routine information gathering away from conventional web searches toward direct prompts. His experience with coding was less successful: he said he tried to use AI to build a Gmail spam-filtering tool, did not get the desired result and abandoned the effort.
That experience informed his view that human involvement remains necessary for complex work. Zhao said Giggle Academy, his education project, tested fully AI-driven instruction and found it ineffective. The program now uses a hybrid model in which people lead content development while AI generates components.
According to Zhao, Giggle Academy has reached more than 1 million children, focuses on ages two through six, and has a team of 60 people. The project’s workflow reflects the same discipline he advocated for crypto buyers: use automated tools where they are useful, but retain human judgment where mistakes carry real consequences.
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