Well-known venture capital firm a16z released its annual “Great Ideas” report this week, with its crypto team and invited contributors jointly outlining 17 key development trends in the cryptocurrency space for 2026. The report points out that stablecoin trading volume reached approximately $46 trillion last year, accelerating its integration into mainstream payment channels. Meanwhile, core issues such as identity bottlenecks in the AI agent economy, privacy as a new moat for public blockchains, the intelligent evolution of prediction markets, and the shift from “code is law” to “regulation is law” as a security paradigm will be central forces shaping the industry landscape in the coming year. These trends are not only about technological innovation but also herald fundamental changes in finance, the internet, and social cooperation.
Stablecoins and Payments: From Financial Instruments to Internet Settlement Layers
As stablecoin trading volume surpasses $46 trillion, far exceeding PayPal and approaching giants like Visa, its development focus is shifting from on-chain activity to real-world connectivity points. Jeremy Zhang from a16z’s crypto engineering team notes that the current core challenge is building more sophisticated and accessible deposit and withdrawal channels to seamlessly embed digital dollars into people’s daily financial routines.
New startups are filling this gap through various approaches. Some leverage cryptographic proofs to allow users to privately exchange local bank balances for digital dollars; others integrate regional payment networks using QR codes, real-time payment systems, and other features to facilitate interbank transfers. Some projects are dedicated to building truly interoperable global wallet layers and card issuance platforms, enabling users to spend stablecoins directly at everyday merchants. These efforts collectively lower the participation barrier in the digital dollar economy.
2026 Key Data Projections for Stablecoins
Annual Transaction Volume: approximately $46 trillion (stablecoins) vs. approximately $16 trillion (Visa network) vs. approximately $2.2 trillion (PayPal)
Transaction Costs and Speed: less than 1 cent, confirmation time under 1 second
Core Goal: achieve direct interoperability with global local payment systems and currencies
Ultimate Vision: become the foundational infrastructure layer for internet value settlement
When digital dollars can directly connect to local payment systems and merchant tools, new behavioral patterns will emerge: cross-border workers can receive real-time salaries, merchants without bank accounts can accept global USD payments, and applications can settle value with users anywhere in the world instantaneously. This means stablecoins will transition from niche financial tools to the basic settlement layer of the internet.
RWA and Synthetic Assets: Exploring More Native Expressions for Crypto
On-chain representation of traditional assets has become an inevitable trend, but Guy Wuollet, general partner at a16z, believes that current asset tokenization tends to be overly “physicalized,” simply copying offline structures and not fully leveraging the native characteristics of crypto. He proposes a more radical idea: instead of focusing on direct tokenization of physical assets, explore their “synthetic” representations, such as perpetual contracts.
Perpetual contracts can offer deeper liquidity and more achievable leverage, and more importantly, they are inherently crypto-native derivatives with strong product-market fit. Asset classes like emerging market stocks are particularly suitable for this “perpetualization” approach. Meanwhile, in the stablecoin sector, the focus in 2026 will be on “native creation, not just tokenization.” Currently, many on-chain credit systems tokenize offline loans, which benefits mainly existing on-chain users. True breakthrough lies in directly initiating debt assets on-chain, significantly reducing lending service costs and backend infrastructure costs while increasing accessibility—though regulatory compliance and standardization remain urgent challenges.
AI Agent Economy: From “Know Your Customer” to “Know Your Agent”
The explosion of AI agents will bring a fundamental shift in economic paradigms. Sean Neville, co-founder of Circle and CEO of Catena Labs, sharply points out that the bottleneck in the agent economy is shifting from “intelligence” to “identity.” In financial services, “non-human identities” are now 96 times more numerous than human employees, yet these identities remain “ghosts” incapable of conducting financial activities. Therefore, establishing a “Know Your Agent” (KYA) primitive is crucial.
Agents need cryptographic signatures that hold credentials linking their delegated entities, operational constraints, and accountability—similar to credit scores for humans. Without KYA, merchants will continue to block agents at firewall levels. Industry players with decades of KYC infrastructure face only months to crack the KYA challenge. This is not just a technical hurdle but a core element in shaping the future foundation of human-machine collaboration economy.
Meanwhile, AI is also being used for more substantive research tasks. Scott Kominers, researcher at a16z and professor at Harvard Business School, shares that AI can now understand abstract instructions and produce novel answers, akin to a doctoral student. This will foster a “scholar” style of research that favors hypothesis generation and rapid deduction. However, running such nested reasoning proxy clusters requires better interoperability between models and mechanisms to recognize and compensate each model’s contribution—areas where cryptographic technologies can play a role.
Privacy and Security: Building an Unshakable Trust Foundation
a16z general partner Ali Yahya offers a clear viewpoint: privacy will become the most important moat in the crypto space. In a landscape where performance is increasingly homogeneous, privacy is key to pushing global financial on-chain adoption, yet it remains a shortcoming of most current blockchains. Privacy can differentiate a public chain and create powerful “chain-locking” and privacy network effects.
In open environments, transferring assets via cross-chain bridges is straightforward. But once privacy is involved, crossing between public and private chains or moving across different privacy chains reveals transaction metadata such as timing and scale, increasing tracking risks. Hence, once users choose a privacy chain, migration costs rise significantly. This could lead to a winner-takes-all scenario for privacy chains and, due to their necessity for real-world use cases, they may end up capturing most of the value in the crypto ecosystem.
On security, a16z engineer Daejun Park calls for DeFi to evolve from “code is law” to “regulation is law.” Recent attacks on mature protocols show that relying solely on audits and case-by-case analysis is no longer sufficient. Future security should involve systematically proving global invariants before deployment, and transforming invariants into real-time safeguards after deployment—any transaction violating security properties would be automatically rolled back. This approach would make the remaining feasible attack vectors extremely small or difficult to execute.
Prediction Markets and Emerging Applications: Smarter, More Trustworthy Information Networks
Andy Hall, Stanford professor of political economy and a16z research advisor, predicts that prediction markets will deepen their integration with crypto and AI, becoming larger, broader, and more intelligent. Future market contracts will not only cover elections but also extend to real-time odds of complex, cross-disciplinary events, becoming part of the news ecosystem. To handle vast numbers of contracts and resolve disputes, decentralized governance and LLM-based oracle systems will serve as new tools for determining factual outcomes.
AI agents can trade on platforms, seeking signals globally to gain short-term trading advantages, revealing new methods for predicting complex social events. Prediction markets will not replace polls but will complement them, with AI improving survey experience and cryptography proving respondents are real humans, not bots. Additionally, Robert Hackett introduced the concept of “Staked Media.” In an era flooded with AI-generated content, tokenized assets, programmable locking, and on-chain history records provide new foundations for trust. Commenters can prove their consistency of words and actions, and analysts can link predictions to publicly settled markets. This “proof of stake” media offers a new dimension for signaling information credibility.
Deep Evolution of Technology, Regulation, and Construction
The report also reveals other key trends. In messaging, Shane Mac, co-founder of XMTP Labs, envisions future communication as not only quantum-resistant but also decentralized, allowing users to truly own their message keys. In data privacy, Adeniyi Abiodun, CPO of Mysten Labs, proposes the “Secrets as a Service” vision, turning privacy into a core infrastructure via programmable data access rules and on-chain enforced key management.
a16z researcher Justin Thaler points out that zkSNARKs will transcend blockchain boundaries. By 2026, zkVM provers’ overhead will be reduced by orders of magnitude, enabling operation on devices like smartphones and even ushering in the era of “verifiable cloud computing.” Finally, in regulation and infrastructure, a16z general partner Arianna Simpson warns that transactions should not be regarded as the end goal of all crypto businesses; focusing on product excellence is key to building sustainable companies. The potential regulatory framework in the US for crypto markets could resolve years of legal uncertainty, allowing blockchain networks to operate truly openly, autonomously, and in a composable manner, unleashing their full technological potential.
Conclusion: The Coming of Age for the Value Internet
a16z’s annual outlook is like a meticulously drawn navigation chart, pointing toward new frontiers in the crypto ocean emerging by 2026. From stablecoins solidifying the internet’s settlement infrastructure to AI agents spawning new economic identities; from privacy and security building unshakable trust to prediction markets and staking media reshaping the flow of information and value—each trend is not an isolated technological evolution but a solid step toward a more efficient, trustworthy, and autonomous digital economy society. 2026 may well be the pivotal year when cryptocurrencies move beyond frontier exploration, deeply integrating into the core of the global value system—a dual symphony of technological waves and value re-anchoring is unfolding.
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Top 17 Trends in the Cryptocurrency Sector in 2026: a16z Partner's Annual Outlook and Industry Transformation Blueprint
Well-known venture capital firm a16z released its annual “Great Ideas” report this week, with its crypto team and invited contributors jointly outlining 17 key development trends in the cryptocurrency space for 2026. The report points out that stablecoin trading volume reached approximately $46 trillion last year, accelerating its integration into mainstream payment channels. Meanwhile, core issues such as identity bottlenecks in the AI agent economy, privacy as a new moat for public blockchains, the intelligent evolution of prediction markets, and the shift from “code is law” to “regulation is law” as a security paradigm will be central forces shaping the industry landscape in the coming year. These trends are not only about technological innovation but also herald fundamental changes in finance, the internet, and social cooperation.
Stablecoins and Payments: From Financial Instruments to Internet Settlement Layers
As stablecoin trading volume surpasses $46 trillion, far exceeding PayPal and approaching giants like Visa, its development focus is shifting from on-chain activity to real-world connectivity points. Jeremy Zhang from a16z’s crypto engineering team notes that the current core challenge is building more sophisticated and accessible deposit and withdrawal channels to seamlessly embed digital dollars into people’s daily financial routines.
New startups are filling this gap through various approaches. Some leverage cryptographic proofs to allow users to privately exchange local bank balances for digital dollars; others integrate regional payment networks using QR codes, real-time payment systems, and other features to facilitate interbank transfers. Some projects are dedicated to building truly interoperable global wallet layers and card issuance platforms, enabling users to spend stablecoins directly at everyday merchants. These efforts collectively lower the participation barrier in the digital dollar economy.
2026 Key Data Projections for Stablecoins
When digital dollars can directly connect to local payment systems and merchant tools, new behavioral patterns will emerge: cross-border workers can receive real-time salaries, merchants without bank accounts can accept global USD payments, and applications can settle value with users anywhere in the world instantaneously. This means stablecoins will transition from niche financial tools to the basic settlement layer of the internet.
RWA and Synthetic Assets: Exploring More Native Expressions for Crypto
On-chain representation of traditional assets has become an inevitable trend, but Guy Wuollet, general partner at a16z, believes that current asset tokenization tends to be overly “physicalized,” simply copying offline structures and not fully leveraging the native characteristics of crypto. He proposes a more radical idea: instead of focusing on direct tokenization of physical assets, explore their “synthetic” representations, such as perpetual contracts.
Perpetual contracts can offer deeper liquidity and more achievable leverage, and more importantly, they are inherently crypto-native derivatives with strong product-market fit. Asset classes like emerging market stocks are particularly suitable for this “perpetualization” approach. Meanwhile, in the stablecoin sector, the focus in 2026 will be on “native creation, not just tokenization.” Currently, many on-chain credit systems tokenize offline loans, which benefits mainly existing on-chain users. True breakthrough lies in directly initiating debt assets on-chain, significantly reducing lending service costs and backend infrastructure costs while increasing accessibility—though regulatory compliance and standardization remain urgent challenges.
AI Agent Economy: From “Know Your Customer” to “Know Your Agent”
The explosion of AI agents will bring a fundamental shift in economic paradigms. Sean Neville, co-founder of Circle and CEO of Catena Labs, sharply points out that the bottleneck in the agent economy is shifting from “intelligence” to “identity.” In financial services, “non-human identities” are now 96 times more numerous than human employees, yet these identities remain “ghosts” incapable of conducting financial activities. Therefore, establishing a “Know Your Agent” (KYA) primitive is crucial.
Agents need cryptographic signatures that hold credentials linking their delegated entities, operational constraints, and accountability—similar to credit scores for humans. Without KYA, merchants will continue to block agents at firewall levels. Industry players with decades of KYC infrastructure face only months to crack the KYA challenge. This is not just a technical hurdle but a core element in shaping the future foundation of human-machine collaboration economy.
Meanwhile, AI is also being used for more substantive research tasks. Scott Kominers, researcher at a16z and professor at Harvard Business School, shares that AI can now understand abstract instructions and produce novel answers, akin to a doctoral student. This will foster a “scholar” style of research that favors hypothesis generation and rapid deduction. However, running such nested reasoning proxy clusters requires better interoperability between models and mechanisms to recognize and compensate each model’s contribution—areas where cryptographic technologies can play a role.
Privacy and Security: Building an Unshakable Trust Foundation
a16z general partner Ali Yahya offers a clear viewpoint: privacy will become the most important moat in the crypto space. In a landscape where performance is increasingly homogeneous, privacy is key to pushing global financial on-chain adoption, yet it remains a shortcoming of most current blockchains. Privacy can differentiate a public chain and create powerful “chain-locking” and privacy network effects.
In open environments, transferring assets via cross-chain bridges is straightforward. But once privacy is involved, crossing between public and private chains or moving across different privacy chains reveals transaction metadata such as timing and scale, increasing tracking risks. Hence, once users choose a privacy chain, migration costs rise significantly. This could lead to a winner-takes-all scenario for privacy chains and, due to their necessity for real-world use cases, they may end up capturing most of the value in the crypto ecosystem.
On security, a16z engineer Daejun Park calls for DeFi to evolve from “code is law” to “regulation is law.” Recent attacks on mature protocols show that relying solely on audits and case-by-case analysis is no longer sufficient. Future security should involve systematically proving global invariants before deployment, and transforming invariants into real-time safeguards after deployment—any transaction violating security properties would be automatically rolled back. This approach would make the remaining feasible attack vectors extremely small or difficult to execute.
Prediction Markets and Emerging Applications: Smarter, More Trustworthy Information Networks
Andy Hall, Stanford professor of political economy and a16z research advisor, predicts that prediction markets will deepen their integration with crypto and AI, becoming larger, broader, and more intelligent. Future market contracts will not only cover elections but also extend to real-time odds of complex, cross-disciplinary events, becoming part of the news ecosystem. To handle vast numbers of contracts and resolve disputes, decentralized governance and LLM-based oracle systems will serve as new tools for determining factual outcomes.
AI agents can trade on platforms, seeking signals globally to gain short-term trading advantages, revealing new methods for predicting complex social events. Prediction markets will not replace polls but will complement them, with AI improving survey experience and cryptography proving respondents are real humans, not bots. Additionally, Robert Hackett introduced the concept of “Staked Media.” In an era flooded with AI-generated content, tokenized assets, programmable locking, and on-chain history records provide new foundations for trust. Commenters can prove their consistency of words and actions, and analysts can link predictions to publicly settled markets. This “proof of stake” media offers a new dimension for signaling information credibility.
Deep Evolution of Technology, Regulation, and Construction
The report also reveals other key trends. In messaging, Shane Mac, co-founder of XMTP Labs, envisions future communication as not only quantum-resistant but also decentralized, allowing users to truly own their message keys. In data privacy, Adeniyi Abiodun, CPO of Mysten Labs, proposes the “Secrets as a Service” vision, turning privacy into a core infrastructure via programmable data access rules and on-chain enforced key management.
a16z researcher Justin Thaler points out that zkSNARKs will transcend blockchain boundaries. By 2026, zkVM provers’ overhead will be reduced by orders of magnitude, enabling operation on devices like smartphones and even ushering in the era of “verifiable cloud computing.” Finally, in regulation and infrastructure, a16z general partner Arianna Simpson warns that transactions should not be regarded as the end goal of all crypto businesses; focusing on product excellence is key to building sustainable companies. The potential regulatory framework in the US for crypto markets could resolve years of legal uncertainty, allowing blockchain networks to operate truly openly, autonomously, and in a composable manner, unleashing their full technological potential.
Conclusion: The Coming of Age for the Value Internet
a16z’s annual outlook is like a meticulously drawn navigation chart, pointing toward new frontiers in the crypto ocean emerging by 2026. From stablecoins solidifying the internet’s settlement infrastructure to AI agents spawning new economic identities; from privacy and security building unshakable trust to prediction markets and staking media reshaping the flow of information and value—each trend is not an isolated technological evolution but a solid step toward a more efficient, trustworthy, and autonomous digital economy society. 2026 may well be the pivotal year when cryptocurrencies move beyond frontier exploration, deeply integrating into the core of the global value system—a dual symphony of technological waves and value re-anchoring is unfolding.