A16z – 2026 might be the year when blockchain becomes ‘just the plumbing’

ambcryptoPublicado em 2026-01-02Última atualização em 2026-01-02

Resumo

A16z's 2026 outlook predicts blockchain will become invisible "plumbing" that powers the modern digital world, rather than a consumer-facing technology. This shift will be driven by three key trends. First, the rise of an AI agent economy will require blockchain-based identity systems (KYA - Know Your Agent) for autonomous agents to transact securely. Second, finance will evolve from simple asset tokenization to full on-chain origination of synthetic and programmable credit products, making the internet itself the bank. Finally, privacy, enabled by Zero-Knowledge Proofs, will become the critical competitive advantage for institutional adoption, as public transparency becomes a liability. Ultimately, crypto's success will be measured by its seamless integration into a faster, more private, and autonomous internet.

For years, the promise of blockchain has been just around the corner. However, according to a16z crypto’s latest outlook for 2026, the corner has finally been turned.

We are moving into an era where the most successful crypto applications won’t feel like crypto at all. They will simply be the plumbing that makes the modern world work. That’s what the report says.

Here are the three foundational shifts that will define the landscape in 2026.

Rise of the agentic economy

Topping the list is the birth of the AI Agent economy.

As autonomous agents begin to handle our grocery shopping, SaaS subscriptions, and professional workflows, they face a wall – They lack identity and bank accounts.

According to A16z’s latest prediction, we can expect the emergence of KYAs (Know Your Agents).

Just as humans have credit scores and passports, agents will use cryptographically signed credentials to transact. This would allow a merchant to know that an agent is authorized by a specific principal and operates within defined legal and financial constraints.

Without blockchain-based identity, the AI revolution hits a dead end. With it, agents would become full-scale economic actors.

From tokenization to origination

While 2024 and 2025 were about “tokenizing” existing Real-World Assets (RWAs) like T-bills, 2026 will be about on-chain origination.

The report suggested that narrow banking, simply holding safe, liquid assets on a chain, is just the starting point. The real breakthrough occurs when credit infrastructure moves on-chain.

We will see the rise of synthetic financial products and programmable credit that offer lower operational costs and greater composability than traditional finance.

In this world, the internet becomes the bank, providing wealth management and sophisticated investment tools to anyone with a smartphone.

Privacy as the ultimate competitive moat

Finally, for a decade, the transparency of blockchains was touted as a feature. By 2026, it will become a bug for institutional adoption.

According to A16z, privacy will be the most important moat in crypto.

As global finance migrates to the blockchain, institutions cannot afford to have their strategies and sensitive data exposed on public ledgers. This creates a privacy lock-in effect. Bridging tokens between chains is easy, but bridging secrets is hard.

The networks that successfully implement Zero-Knowledge Proofs (ZKPs) and Secrets-as-a-Service will likely win the majority of the market share. Especially since users will be reluctant to leave a secure, private environment.

What’s more?

By 2026, crypto’s success will be measured by its invisibility.

Whether it’s stablecoins settling $46 trillion in volume (surpassing Visa), or prediction markets becoming the primary way we price the future, the crypto part of the equation is receding into the background. What remains is a faster, more private, and more autonomous internet.

This is interesting. Especially since a recent report by AMBCrypto found that crypto underperformed this year as gold and equities rallied, with Bitcoin [BTC] dropping by nearly 20%. Despite broader risk assets holding up.

Even so, some analysts believe money is already circling back to crypto. On the contrary, historical midterm-year patterns suggest 2026 could still be a stress point.

With LTHs steady, capital hesitant, and price unmoved, Bitcoin’s next move depends on a structural shift rather than sentiment alone.


Final Thoughts

  • Technology is shifting from consumer-facing hype to invisible, indispensable plumbing for digital life.
  • Most successful crypto platforms will be frictionless, silent, and embedded deep inside everyday applications.

Perguntas relacionadas

QAccording to a16z's outlook, what will define the most successful crypto applications by 2026?

AThe most successful crypto applications won't feel like crypto at all and will simply be the invisible plumbing that makes the modern world work.

QWhat is the 'KYA' concept mentioned in the report and what problem does it solve?

AKYA stands for 'Know Your Agents.' It solves the problem of AI agents lacking identity and bank accounts by providing them with cryptographically signed credentials to transact, allowing them to become full-scale economic actors.

QWhat key shift is predicted for on-chain finance in 2026, moving beyond the trends of 2024-2025?

AThe shift will be from 'tokenizing' existing Real-World Assets (RWAs) to 'on-chain origination,' which involves moving credit infrastructure on-chain to create synthetic financial products and programmable credit.

QWhy does the a16z report suggest that blockchain transparency will become a 'bug' rather than a feature by 2026?

AFor institutional adoption, the transparency of public blockchains becomes a problem because institutions cannot afford to have their strategies and sensitive financial data exposed on public ledgers, creating a need for privacy solutions.

QWhat technologies does the report identify as crucial for winning market share in the future crypto landscape?

AThe networks that successfully implement Zero-Knowledge Proofs (ZKPs) and Secrets-as-a-Service will likely win the majority of the market share by providing a secure, private environment that users are reluctant to leave.

Leituras Relacionadas

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbitHá 12h

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbitHá 12h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbitHá 14h

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbitHá 14h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbitHá 14h

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbitHá 14h

Trading

Spot
Futuros
活动图片