a16z: Two Suggestions for Crypto Industry Builders in 2026

marsbitPublicado em 2026-01-15Última atualização em 2026-01-15

Resumo

In their 2026 outlook, a16z crypto partners offer two key recommendations for builders in the crypto space. First, Arianna Simpson argues that while many successful crypto companies are pivoting to trading platforms, this short-term strategy may dilute market focus and limit long-term competitiveness. Trading, though important, should be a transit point rather than the end goal. Founders are encouraged to focus on building substantive products rather than seeking immediate product-market fit through speculative token dynamics. Second, Miles Jennings highlights that regulatory clarity in the U.S. could resolve long-standing legal uncertainties that have hindered blockchain development. Historically, ambiguous securities laws forced projects to prioritize legal risk over product strategy, leading to non-transparent practices and distorted incentives. The anticipated passage of crypto market structure legislation may establish clear standards for token issuance, governance, and decentralization, enabling networks to operate as truly open, autonomous, and decentralized systems. Together, these insights urge builders to prioritize sustainable product development over short-term gains and welcome regulatory clarity as a catalyst for genuine innovation.

Author:a16z crypto

Compiled by: Deep Tide TechFlow

1. Transactions Can Be a Transit Point, Not the End Goal of Crypto Business

Today, aside from stablecoins and some core infrastructure, almost all well-performing crypto companies are transitioning or have already transitioned into trading platforms. But if "every crypto company becomes a trading platform," where does that leave everyone else? When so many players are doing the same thing, market attention becomes fragmented, ultimately leaving only a few big winners. This also means that companies that pivot to trading too early may miss the opportunity to build more competitive and enduring businesses.

I fully understand the efforts of all entrepreneurs to get their finances in order, but pursuing short-term product-market fit also comes at a cost. This is particularly true in the crypto industry, where the unique dynamics of tokens and speculation can lead founders down the path of instant gratification while searching for product-market fit... one might call it a "marshmallow test" (an experiment testing patience and self-control).

There's nothing wrong with trading itself—it's an important function in market operations—but it doesn't have to be the end goal. Founders who focus on the "product" aspect rather than merely chasing product-market fit may ultimately become bigger winners.

—Arianna Simpson (@AriannaSimpson), Partner at a16z Crypto Fund

2. This Year, Regulation Will Help Eliminate Industry Distortions

Over the past decade, one of the biggest obstacles to building blockchain networks in the United States has been legal uncertainty. Securities laws were stretched and selectively enforced, forcing founders into a regulatory framework designed for companies, not networks. For years, reducing legal risk replaced product strategy; the role of engineers was taken over by lawyers.

This dynamic led to many anomalies: founders were advised to avoid transparency; token distributions became legally arbitrary; governance became superficial; organizational structures were optimized for legal cover; and tokens were designed to avoid economic value or lacked a business model. Worse, crypto projects that circumvented the rules often developed faster than conscientious builders who followed them.

However, this year, the government is closer than ever to passing crypto market structure regulation, which could eliminate all these distortions. If legislation passes, it will incentivize transparency, establish clear standards, and replace "enforcement roulette" (random enforcement) with a clearer, structured path for fundraising, token issuance, and decentralization. After GENIUS (note: likely referring to a policy or event), the explosive growth of stablecoins has already become evident; and legislation on crypto market structure will bring even greater change, but this time for networks.

In other words, such regulation will enable blockchain networks to truly operate as networks—open, autonomous, composable, credibly neutral, and decentralized.

—Miles Jennings (@milesjennings), Head of a16z Crypto Policy Team and General Counsel

Perguntas relacionadas

QAccording to Arianna Simpson, why might crypto companies that pivot to trading too early miss out on building more competitive and lasting businesses?

ABecause when many players are doing the same thing, market attention becomes fragmented, leaving only a few big winners, and the pursuit of short-term product-market fit can lead to immediate gratification at the expense of long-term competitiveness.

QWhat does Arianna Simpson suggest as an alternative focus for crypto founders instead of just pursuing product-market fit through trading?

AShe suggests that founders should focus on the 'product' part itself, rather than just pursuing product-market fit, which could lead to becoming bigger winners in the long run.

QWhat has been the biggest obstacle for blockchain network builders in the U.S. over the past decade, according to Miles Jennings?

AThe biggest obstacle has been legal uncertainty, where securities laws were stretched and selectively enforced, forcing founders into a regulatory framework designed for companies, not networks.

QHow did the legal uncertainty in the U.S. crypto space lead to 'weird distortions,' as described by Miles Jennings?

AIt led to founders being advised to avoid transparency, token distributions becoming legally arbitrary, governance becoming superficial, organizational structures being optimized for legal cover, and tokens being designed to avoid economic value or business models.

QWhat potential positive impact does Miles Jennings believe crypto market structure legislation could have if passed?

AIt could eliminate distortions by incentivizing transparency, establishing clear standards, and providing a clearer, structured path for fundraising, token issuance, and decentralization, allowing blockchain networks to operate as truly open, autonomous, composable, credibly neutral, and decentralized networks.

Leituras Relacionadas

Huang Renxun Dramatically 'Saves' South Korean Stock Market

In early June, South Korea's stock market experienced a sharp decline, with the KOSPI index dropping over 5% and triggering a trading halt. Amid this volatility, NVIDIA CEO Jensen Huang's visit to Seoul provided a dramatic boost to market sentiment. During his trip, Huang held a dinner meeting with SK Group Chairman Chey Tae-won and SK Hynix CEO Kwak Noh-Jung. He announced that NVIDIA's new Vera CPU would utilize SK Hynix DRAM and confirmed a multi-year technical collaboration between the two companies. This partnership aims to co-develop next-generation memory for NVIDIA's AI infrastructure roadmap, covering products from data center supercomputers to personal AI devices. Huang also publicly commented that AI company stocks were attractively priced. A key announcement was that NVIDIA's upcoming Vera Rubin AI supercomputer systems will use HBM4 memory, with supply qualifications granted to all three major suppliers: SK Hynix, Samsung Electronics, and Micron Technology. Despite this multi-sourcing strategy, Huang warned that the industry-wide chip shortage, affecting everything from wafers to packaging, is expected to persist for several years due to relentless demand from global AI factory construction. The collaboration extends beyond memory supply. SK Hynix will employ NVIDIA's AI platforms and Omniverse digital twin technology to enhance its own semiconductor design, simulation, and manufacturing processes, aiming for more autonomous factory operations. This visit builds upon a prior October 2025 agreement for SK Group to build a large-scale AI data center using over 50,000 NVIDIA GPUs. Huang's itinerary also included meetings with other Korean giants like Hyundai, LG, and Samsung, indicating NVIDIA's broader strategy to deepen ties with South Korea's tech industry.

链捕手Há 6h

Huang Renxun Dramatically 'Saves' South Korean Stock Market

链捕手Há 6h

When Inference Becomes a Scarce Resource, Who Captures the Value?

When Inference Becomes the Scarce Resource, Who Captures the Value? The core AI bottleneck has shifted from model training to inference (runtime execution). While concerns persisted about an "AI compute gap"—initially a $200B, now a $600B problem—the market is now recognizing that the solution and value lie in the inference layer. Nvidia's financial restructuring around "serving tokens" and Cerebras's successful IPO highlight this shift. Inference is a recurring, usage-based cost, estimated to be 10-50x larger than the one-time training market, especially with the rise of agentic AI. The inference stack spans six layers: silicon (e.g., Nvidia), bare metal (e.g., CoreWeave), GPU rental/aggregation, deployment/optimization, model APIs, and end applications. Most companies operate in one layer. However, Hyperbolic uniquely spans three layers (GPU rental, deployment, and model APIs) without owning any hardware. It aggregates fragmented GPU supply from multiple cloud providers into a standardized pool, offering developers the cheapest available compute through intelligent routing. Its multi-cloud aggregation creates a data moat and a flywheel: more supply leads to better pricing data and liquidity, attracting more developers and providers. In contrast, applications like Venice operate at the top of the stack, reselling privacy-wrapped inference but remaining dependent on and constrained by the underlying compute costs they purchase. As inference demand explodes, value accrues not just to consumer applications but increasingly to the aggregation and routing layer that captures their cost of revenue. The coming potential GPU oversupply reinforces this dynamic. While hardware owners may suffer from depreciation, asset-light aggregators like Hyperbolic benefit from price arbitrage, routing workloads to the cheapest available capacity. The ultimate winner in the inference economy may not be the entity with the most GPUs, but the one that can most efficiently discover, aggregate, and route the world's fragmented compute.

链捕手Há 6h

When Inference Becomes a Scarce Resource, Who Captures the Value?

链捕手Há 6h

Trading

Spot
Futuros
活动图片