While 2025 has solidified the integration of cryptography into mainstream financial systems, 2026 is expected to be a year of structural transformation. Andreessen Horowitz has published its annual “Big Ideas” report, which gathers 17 key observations about the crypto sector from its leading partners. These analyses, developed by figures like Jeremy Zhang, Guy Wuollet, Christian Crowley, Ali Yahya, Scott Duke Kominers, Adeniyi Abiodun, and other experts, outline the changes that will shape the global digital infrastructure in the coming months.
Stablecoins and Tokenization: The Payment System Revolution
New Access and Exit Channels for Stablecoins
Last year, stablecoin transaction volume reached $46 trillion, surpassing all previous records. This figure is impressive when compared to major global payment systems: over 20 times PayPal’s volume, nearly 3 times Visa’s, and rapidly approaching US ACH (Automated Clearing House) volumes. Despite these numbers, the critical question remains unresolved: how to integrate these “digital dollars” into everyday financial systems?
A new generation of startups is solving exactly this problem. Solutions include cryptographic technologies for private currency conversions, integrations with regional networks and real-time payments, up to the creation of global wallet layers and interoperable issuance platforms. With these developments, application scenarios will multiply: cross-border workers will receive instant payments, merchants will accept global dollars without bank accounts, and applications will settle value with users worldwide in seconds.
RWA Tokenization Beyond Simple Mimicry
Banks, fintechs, and asset managers are increasingly interested in tokenizing traditional assets. However, the process often falls into the “mimicry trap,” simply replicating the form of real-world assets without leveraging the native advantages of cryptography. Synthetic derivatives like perpetual futures offer more efficient solutions, with higher liquidity and easier implementation. In 2026, the industry will shift toward truly “crypto-native” RWA tokenization solutions that fully exploit blockchain infrastructure features.
At the same time, stablecoins will evolve beyond mere tokenization. The current “narrow bank” model—holding only liquid assets—has structural limitations. Future innovation will focus on “on-chain direct issuance” of debt assets, rather than off-chain issuance followed by tokenization, reducing operational costs and expanding accessibility.
Stablecoins and Modernization of Banking Infrastructure
Most of today’s banking software remains surprisingly outdated: mainframe systems programmed in COBOL, batch interfaces instead of APIs, updates taking months or years. Global asset volumes remain stored in these “decade-old core ledgers.” Stablecoins offer banks and fintechs a low-risk innovation pathway, enabling the development of new products and services without a complete overhaul of legacy systems.
Internet as Global Financial Infrastructure
With the proliferation of AI Agents, the way value circulates must evolve. When agents act autonomously—identifying needs, fulfilling obligations, and executing transfers—value transfer must match the speed and freedom of current information flows. New foundational protocols like x402 will enable “programmable and reactive settlement”: agents can pay instantly and permissionlessly for data, GPU power, or API calls.
In 2026, predictive markets will automatically settle in real time, updating quotes, facilitating agent-based trading, and distributing global profits within seconds. When value flows as “routable data packets on the Internet,” the traditional financial system will integrate into the network infrastructure: Internet will no longer just support the financial system but will become the financial system itself.
Accessible Wealth Management Services
Tokenization of multiple asset classes allows for immediate execution and low-cost rebalancing of personalized AI-driven strategies. By 2026, “wealth accumulation” platforms will emerge—fintechs like Revolut and Robinhood, along with exchanges like Coinbase, will leverage their tech stacks to dominate this segment.
Tools like Morpho Vaults will automatically allocate assets across yield-optimized lending markets adjusted for risk. Holding liquidity in stablecoins instead of fiat currencies, or in tokenized money market funds instead of traditional funds, will further expand earning opportunities. Tokenization will also make it easier for retail investors to access illiquid private market assets, turning rebalancing into an automatic, continuous process.
Autonomous Agents and Artificial Intelligence: From Theory to Implementation
From KYC to KYA: Identifying Non-Human Identities
The bottleneck of the agent economy is shifting from “level of intelligence” to “identity.” In financial services, non-human identities (AI Agents) are 96 times more numerous than human employees but remain “ghosts that cannot access banking systems.” The missing capability is KYA (Know Your Agent): cryptographic signing certificates linked to the principal, binding conditions, and accountability.
AI Amplifies Substantive Scientific Research
The integration of AI into research workflows has reached a turning point. Models like Claude and GPT can now handle abstract and complex tasks, even tackling problems from the Putnam Competition. The most significant evolution involves “new polyhedral research workflows”: multilayer models where nested agents help researchers evaluate methodologies, gradually filtering valid information and discarding irrelevant data.
However, for these “nested reasoning agent clusters” to work effectively, they must solve two critical issues: model interoperability and fair recognition of model contributions. Cryptography offers concrete solutions for both.
The “Invisible Tax” on Open Networks
The rise of AI Agents is imposing an “invisible tax” on open networks. Agents extract data from sites supported by advertising, systematically bypassing revenue sources that sustain content creation. By 2026, the sector must implement large-scale “technical + economic” solutions: transitioning from static licenses to real-time usage-based payments, integrating blockchain micropayments, and establishing precise attribution standards.
Privacy and Security: Foundations of Global On-Chain Finance
Privacy as a Key Competitive Advantage
Privacy is the foundation of global on-chain finance, yet almost all blockchains are still lacking it. However, the ability to maintain privacy can generate strong “network effects,” especially when competition on performance alone is no longer sufficient. Cross-chain token transfers are easy; cross-chain secret transfers are difficult. A blockchain with robust privacy features creates stronger network effects, fostering “winner-takes-all” dynamics that have historically characterized secure communication systems.
The Future of Messaging: Quantum-Resistant and Decentralized
As the world prepares for the quantum computing era, instant messaging apps (Apple, Signal, WhatsApp) are heavily investing in quantum-resistant cryptography. But the real problem remains unresolved: dependence on private servers managed by single entities. If a state can shut down a server, or a company holds the private key, quantum-resistant cryptography loses its meaning.
The solution is network decentralization: no private servers, no single app, everything open source. In a truly open network, no individual, company, nonprofit, or government can deprive people of the right to communicate. When message control is secured with cryptographic keys (as funds are), the paradigm shifts entirely: apps will evolve, but users will always retain control over their messages and identities.
“Secrets-as-a-Service”: Programmable Data Protection
Behind every model, agent, and automated system, there is a simple foundation: data. But data transmission channels pose opacity, manipulability, and auditability issues. Finance, healthcare, and other sectors require protection of sensitive data privacy.
The solution is “Secrets-as-a-Service”: new technologies enabling programmable access rules, client-side encryption, and decentralized key management. These specify who can decrypt which data, under what conditions, and for how long, with all rules enforced on-chain. By integrating verifiable data systems, confidentiality protection will become part of the public Internet infrastructure.
From “Code is Law” to “Norms is Law”
Recent attacks on DeFi have revealed that mainstream security practices still rely on “expert judgment” and case-by-case management. Maturing DeFi security requires two shifts: moving from “patching vulnerability patterns” to “guaranteeing design properties,” and from “best effort protection” to “principled systemic protection.”
Pre-deployment: systematically demonstrate “global invariants” using AI tools for formal verification. Post-deployment: invariance rules become runtime protection barriers, encoded as “assert runtime.” Any transaction violating them is automatically rejected. Thus, the concept evolves from “code is law” to “norms is law”: key security properties are enforced directly by the code.
Predictive Markets, Media, and Cryptographic Applications
Predictive Markets: Scale, Coverage, and Augmented Intelligence
By 2026, predictive markets will grow in scale, coverage, and intelligence thanks to integration with crypto and AI. They will launch more contracts on niche events and complex outcomes, incorporating oracle LLMs to determine the truthfulness of contested results. AI Agents operating on predictive platforms will gather signals and offer new insights into complex social trends, acting as “advanced political analysts.”
The Rise of “Staked” Media
The traditional media model emphasizes “objectivity,” but the internet has shown that audiences respect communicators with “stakes”—not despite, but because of this. With crypto tools, commentators can provide “publicly verifiable commitments”: depositing funds to support opinions, locking tokens to prove immutability of positions, linking forecasts to regulated public markets.
This is the embryonic stage of “staked media”: media that not only accept the logic of interest but provide tangible proof. Credibility no longer comes from “posing as neutral” but from “public, transparent, verifiable commitments of interest.”
Cryptography: Basic Components Beyond Blockchain
SNARKs and Cryptographic Proofs: From Theory to Widespread Use
For years, SNARKs (cryptographic proofs that verify computations without re-execution) have been used almost exclusively in blockchain, due to prohibitive costs. By 2026, the cost of zkVM proofs will drop to about 10,000 times the direct computational work—a critical threshold because a high-end GPU offers roughly 10,000 times the power of a laptop CPU. By late 2026, a single GPU will be able to “generate real-time proofs of CPU execution.”
This will realize the vision of old papers: “verifiable cloud computing.” If your CPU workload remains in the cloud for cost or expertise reasons, you will obtain a “cryptographic proof of correct computation” at a reasonable cost, without code modifications.
Industry Building: Governance and Regulatory Frameworks
The Trading Business: Transit Hubs, Not Final Destinations
Today, almost all top crypto companies have shifted or are shifting toward trading. But if “all crypto companies become trading platforms,” the concentration in the same dispersed segment will alienate users and create “few giants, many eliminated” dynamics. Moving too early into trading risks losing opportunities to build more competitive and sustainable business models.
Founders focusing on the “true essence of product-market fit” are more likely to become long-term winners in the sector.
Architectural Alignment: When Law and Technology Converge
Over the past decade, “legal uncertainty” has been one of the biggest obstacles to blockchain development in the US. Widespread and inconsistent application of securities laws has forced founders to design for the company, not for the network. “Avoiding legal risk” has replaced “product strategy.”
But today, the US is closer than ever to passing the “Crypto Market Structure Regulation Act”—a law that could eliminate these distortions by 2026. If enacted, it would promote transparency, establish clear standards, and replace “casual enforcement” with “structured pathways” for fundraising, token issuance, and decentralization.
Just as the “Genius Act” approval accelerated stablecoin issuance, legislation on crypto market structure will bring even more significant changes, enabling blockchain networks to “truly operate as networks”: open, autonomous, composable, credibly neutral, and decentralized.
These 17 insights from a16z outline a profound and multifaceted transformation of the crypto sector in 2026: from mainstream financial integration to agent autonomy, from privacy as a competitive edge to constructive regulation. 2026 will not be a year of further speculation but of infrastructural consolidation and systemic innovation that will redefine the relationship between technology, finance, and global society.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
Key 17 Trends in the Crypto Industry in 2026: a16z Analysis of Upcoming Transformations
While 2025 has solidified the integration of cryptography into mainstream financial systems, 2026 is expected to be a year of structural transformation. Andreessen Horowitz has published its annual “Big Ideas” report, which gathers 17 key observations about the crypto sector from its leading partners. These analyses, developed by figures like Jeremy Zhang, Guy Wuollet, Christian Crowley, Ali Yahya, Scott Duke Kominers, Adeniyi Abiodun, and other experts, outline the changes that will shape the global digital infrastructure in the coming months.
Stablecoins and Tokenization: The Payment System Revolution
New Access and Exit Channels for Stablecoins
Last year, stablecoin transaction volume reached $46 trillion, surpassing all previous records. This figure is impressive when compared to major global payment systems: over 20 times PayPal’s volume, nearly 3 times Visa’s, and rapidly approaching US ACH (Automated Clearing House) volumes. Despite these numbers, the critical question remains unresolved: how to integrate these “digital dollars” into everyday financial systems?
A new generation of startups is solving exactly this problem. Solutions include cryptographic technologies for private currency conversions, integrations with regional networks and real-time payments, up to the creation of global wallet layers and interoperable issuance platforms. With these developments, application scenarios will multiply: cross-border workers will receive instant payments, merchants will accept global dollars without bank accounts, and applications will settle value with users worldwide in seconds.
RWA Tokenization Beyond Simple Mimicry
Banks, fintechs, and asset managers are increasingly interested in tokenizing traditional assets. However, the process often falls into the “mimicry trap,” simply replicating the form of real-world assets without leveraging the native advantages of cryptography. Synthetic derivatives like perpetual futures offer more efficient solutions, with higher liquidity and easier implementation. In 2026, the industry will shift toward truly “crypto-native” RWA tokenization solutions that fully exploit blockchain infrastructure features.
At the same time, stablecoins will evolve beyond mere tokenization. The current “narrow bank” model—holding only liquid assets—has structural limitations. Future innovation will focus on “on-chain direct issuance” of debt assets, rather than off-chain issuance followed by tokenization, reducing operational costs and expanding accessibility.
Stablecoins and Modernization of Banking Infrastructure
Most of today’s banking software remains surprisingly outdated: mainframe systems programmed in COBOL, batch interfaces instead of APIs, updates taking months or years. Global asset volumes remain stored in these “decade-old core ledgers.” Stablecoins offer banks and fintechs a low-risk innovation pathway, enabling the development of new products and services without a complete overhaul of legacy systems.
Internet as Global Financial Infrastructure
With the proliferation of AI Agents, the way value circulates must evolve. When agents act autonomously—identifying needs, fulfilling obligations, and executing transfers—value transfer must match the speed and freedom of current information flows. New foundational protocols like x402 will enable “programmable and reactive settlement”: agents can pay instantly and permissionlessly for data, GPU power, or API calls.
In 2026, predictive markets will automatically settle in real time, updating quotes, facilitating agent-based trading, and distributing global profits within seconds. When value flows as “routable data packets on the Internet,” the traditional financial system will integrate into the network infrastructure: Internet will no longer just support the financial system but will become the financial system itself.
Accessible Wealth Management Services
Tokenization of multiple asset classes allows for immediate execution and low-cost rebalancing of personalized AI-driven strategies. By 2026, “wealth accumulation” platforms will emerge—fintechs like Revolut and Robinhood, along with exchanges like Coinbase, will leverage their tech stacks to dominate this segment.
Tools like Morpho Vaults will automatically allocate assets across yield-optimized lending markets adjusted for risk. Holding liquidity in stablecoins instead of fiat currencies, or in tokenized money market funds instead of traditional funds, will further expand earning opportunities. Tokenization will also make it easier for retail investors to access illiquid private market assets, turning rebalancing into an automatic, continuous process.
Autonomous Agents and Artificial Intelligence: From Theory to Implementation
From KYC to KYA: Identifying Non-Human Identities
The bottleneck of the agent economy is shifting from “level of intelligence” to “identity.” In financial services, non-human identities (AI Agents) are 96 times more numerous than human employees but remain “ghosts that cannot access banking systems.” The missing capability is KYA (Know Your Agent): cryptographic signing certificates linked to the principal, binding conditions, and accountability.
AI Amplifies Substantive Scientific Research
The integration of AI into research workflows has reached a turning point. Models like Claude and GPT can now handle abstract and complex tasks, even tackling problems from the Putnam Competition. The most significant evolution involves “new polyhedral research workflows”: multilayer models where nested agents help researchers evaluate methodologies, gradually filtering valid information and discarding irrelevant data.
However, for these “nested reasoning agent clusters” to work effectively, they must solve two critical issues: model interoperability and fair recognition of model contributions. Cryptography offers concrete solutions for both.
The “Invisible Tax” on Open Networks
The rise of AI Agents is imposing an “invisible tax” on open networks. Agents extract data from sites supported by advertising, systematically bypassing revenue sources that sustain content creation. By 2026, the sector must implement large-scale “technical + economic” solutions: transitioning from static licenses to real-time usage-based payments, integrating blockchain micropayments, and establishing precise attribution standards.
Privacy and Security: Foundations of Global On-Chain Finance
Privacy as a Key Competitive Advantage
Privacy is the foundation of global on-chain finance, yet almost all blockchains are still lacking it. However, the ability to maintain privacy can generate strong “network effects,” especially when competition on performance alone is no longer sufficient. Cross-chain token transfers are easy; cross-chain secret transfers are difficult. A blockchain with robust privacy features creates stronger network effects, fostering “winner-takes-all” dynamics that have historically characterized secure communication systems.
The Future of Messaging: Quantum-Resistant and Decentralized
As the world prepares for the quantum computing era, instant messaging apps (Apple, Signal, WhatsApp) are heavily investing in quantum-resistant cryptography. But the real problem remains unresolved: dependence on private servers managed by single entities. If a state can shut down a server, or a company holds the private key, quantum-resistant cryptography loses its meaning.
The solution is network decentralization: no private servers, no single app, everything open source. In a truly open network, no individual, company, nonprofit, or government can deprive people of the right to communicate. When message control is secured with cryptographic keys (as funds are), the paradigm shifts entirely: apps will evolve, but users will always retain control over their messages and identities.
“Secrets-as-a-Service”: Programmable Data Protection
Behind every model, agent, and automated system, there is a simple foundation: data. But data transmission channels pose opacity, manipulability, and auditability issues. Finance, healthcare, and other sectors require protection of sensitive data privacy.
The solution is “Secrets-as-a-Service”: new technologies enabling programmable access rules, client-side encryption, and decentralized key management. These specify who can decrypt which data, under what conditions, and for how long, with all rules enforced on-chain. By integrating verifiable data systems, confidentiality protection will become part of the public Internet infrastructure.
From “Code is Law” to “Norms is Law”
Recent attacks on DeFi have revealed that mainstream security practices still rely on “expert judgment” and case-by-case management. Maturing DeFi security requires two shifts: moving from “patching vulnerability patterns” to “guaranteeing design properties,” and from “best effort protection” to “principled systemic protection.”
Pre-deployment: systematically demonstrate “global invariants” using AI tools for formal verification. Post-deployment: invariance rules become runtime protection barriers, encoded as “assert runtime.” Any transaction violating them is automatically rejected. Thus, the concept evolves from “code is law” to “norms is law”: key security properties are enforced directly by the code.
Predictive Markets, Media, and Cryptographic Applications
Predictive Markets: Scale, Coverage, and Augmented Intelligence
By 2026, predictive markets will grow in scale, coverage, and intelligence thanks to integration with crypto and AI. They will launch more contracts on niche events and complex outcomes, incorporating oracle LLMs to determine the truthfulness of contested results. AI Agents operating on predictive platforms will gather signals and offer new insights into complex social trends, acting as “advanced political analysts.”
The Rise of “Staked” Media
The traditional media model emphasizes “objectivity,” but the internet has shown that audiences respect communicators with “stakes”—not despite, but because of this. With crypto tools, commentators can provide “publicly verifiable commitments”: depositing funds to support opinions, locking tokens to prove immutability of positions, linking forecasts to regulated public markets.
This is the embryonic stage of “staked media”: media that not only accept the logic of interest but provide tangible proof. Credibility no longer comes from “posing as neutral” but from “public, transparent, verifiable commitments of interest.”
Cryptography: Basic Components Beyond Blockchain
SNARKs and Cryptographic Proofs: From Theory to Widespread Use
For years, SNARKs (cryptographic proofs that verify computations without re-execution) have been used almost exclusively in blockchain, due to prohibitive costs. By 2026, the cost of zkVM proofs will drop to about 10,000 times the direct computational work—a critical threshold because a high-end GPU offers roughly 10,000 times the power of a laptop CPU. By late 2026, a single GPU will be able to “generate real-time proofs of CPU execution.”
This will realize the vision of old papers: “verifiable cloud computing.” If your CPU workload remains in the cloud for cost or expertise reasons, you will obtain a “cryptographic proof of correct computation” at a reasonable cost, without code modifications.
Industry Building: Governance and Regulatory Frameworks
The Trading Business: Transit Hubs, Not Final Destinations
Today, almost all top crypto companies have shifted or are shifting toward trading. But if “all crypto companies become trading platforms,” the concentration in the same dispersed segment will alienate users and create “few giants, many eliminated” dynamics. Moving too early into trading risks losing opportunities to build more competitive and sustainable business models.
Founders focusing on the “true essence of product-market fit” are more likely to become long-term winners in the sector.
Architectural Alignment: When Law and Technology Converge
Over the past decade, “legal uncertainty” has been one of the biggest obstacles to blockchain development in the US. Widespread and inconsistent application of securities laws has forced founders to design for the company, not for the network. “Avoiding legal risk” has replaced “product strategy.”
But today, the US is closer than ever to passing the “Crypto Market Structure Regulation Act”—a law that could eliminate these distortions by 2026. If enacted, it would promote transparency, establish clear standards, and replace “casual enforcement” with “structured pathways” for fundraising, token issuance, and decentralization.
Just as the “Genius Act” approval accelerated stablecoin issuance, legislation on crypto market structure will bring even more significant changes, enabling blockchain networks to “truly operate as networks”: open, autonomous, composable, credibly neutral, and decentralized.
These 17 insights from a16z outline a profound and multifaceted transformation of the crypto sector in 2026: from mainstream financial integration to agent autonomy, from privacy as a competitive edge to constructive regulation. 2026 will not be a year of further speculation but of infrastructural consolidation and systemic innovation that will redefine the relationship between technology, finance, and global society.