Who Will Make Money in the Age of Agents?

链捕手Publicado a 2026-05-27Actualizado a 2026-05-27

Resumen

Who will capture value in an era where AI Agents become the primary blockchain users? Existing crypto value capture theories assume human users. "Fat Protocols" (2016) posited that protocols capture the most value as applications commoditize on open data, but this weakened as blockchain infrastructure proliferated and became interchangeable. The emerging "Fat Apps" theory argues applications capturing user relationships (like wallets and aggregators) win by controlling distribution and monetizing user flows. Agents fundamentally disrupt this logic. They don't value UX, brand, or convenience, bypassing the front-end moats of fat apps. This leads to several possible futures: 1. **"Headless" Apps**: Current app leaders (e.g., wallets) strip their front ends and become API infrastructure for Agents, preserving their value capture. 2. **Protocol Renaissance**: If integration is easy, Agents skip aggregators and interact directly with protocols, reviving the fat protocol thesis. 3. **Pricing Power Collapse**: Agents' rational, frictionless price shopping could commoditize the entire stack, compressing margins toward cost. Value flows to Agent owners or end-users. 4. **Unprecedented Activity**: Agents could enable entirely new, high-frequency economic activity (e.g., machine-to-machine commerce), expanding the total value pie. 5. **A New, Unnamed Model**: As with the internet's attention economy, a novel, unforeseen business model may emerge. Likely, human and Agent ecosyste...

Author: Jonah Burian

Compiled by: Jia Huan, ChainCatcher

Many speculate that the next billion blockchain users will be Agents. But few ask a further question: in that world, who will make money?

Every previous theory of value capture in crypto assumed the user was human. The "Fat Protocols" theory posited that protocols are best at monetizing human users.

The "Fat App" theory, which I explored with colleagues in "How to Capture Value" and "The Great Revaluation," argues that the application layer can do better. But Agents change the very nature of the user, and existing theories will be invalidated.

The Fat Protocols Theory

In 2016, @jmonegro proposed "Fat Protocols." For nearly a decade, it has been crypto's dominant theory of value capture.

The core idea: In the traditional internet, value aggregated at the application layer (@Google, @facebook), while underlying protocols (TCP/IP, HTTP) captured almost no value. The crypto world would completely reverse this. Blockchains share data publicly, so applications would gradually become commoditized.

And because using the network requires spending the protocol's token, the token would capture the resulting speculative value as usage grows. Every app's success would drive demand for the token. The underlying protocol would grow faster than any application built on it.

For years, this seemed correct. Bitcoin and Ethereum are worth far more than any company built on them.

This model works perfectly when the protocol itself is scarce, expensive to build, and hard to replace. In 2017, Bitcoin and Ethereum were very scarce; there weren't dozens of general-purpose L1s (Layer 1 networks) competing for the same workloads.

Block space was sufficiently constrained that owning the underlying asset felt like owning a piece of every app that needed it.

Today, reliable alternatives exist at every layer of the infrastructure stack: multiple high-throughput L1s, dozens of L2s, and modular settlement and data availability (DA) layers competing fiercely on price. Block space has shifted from constrained to abundant.

As bridges and aggregators make underlying chains nearly invisible to users, user switching costs have collapsed. Infrastructure has become interchangeable, and interchangeable commodities compete on price. The result: pricing power for protocols vanishes along with scarcity.

The Fat App Theory

By 2026, entities capturing most of the economic benefits were applications, not protocols: e.g., @phantom, @coinbase, @Polymarket, @Pumpfun.

In my view, the reason is that the most valuable asset in crypto is the user relationship.

If you control the user interface and transaction flow, you control distribution and can profit from almost any on-chain product a user touches: swaps, lending, staking, minting, and fiat on/off-ramps. This is probably also why funds are so obsessed with neobanks.

Apps also push infrastructure into a pure price war, compressing infrastructure margins to marginal cost. I documented this dynamic in "How to Capture Value." The same dynamic is playing out in stablecoins, which I've covered elsewhere.

Asset prices are reflecting this theory. Spencer and I called this shift "The Great Revaluation": in this cycle, value began aggregating at the layer that owns the user.

Why Agents Break This Logic

The Fat App theory assumes users are humans who value UX, brand, and convenience. But Agents don't care about these at all. They call APIs directly, have zero brand loyalty, and switch between platforms at zero cost.

When the user becomes software, owning the user relationship is no longer an impregnable moat. The entire Fat App theory's foundation—the frontend moat—is failing.

So who captures value in the age of Agents?

Apps Go 'Headless'

In one vision of the future, winners at the application layer maintain their lead by shedding their frontend interfaces (going 'headless').

Wallets and aggregators have already done the hardest work: integrations with dozens of protocols, routing logic, authentication, fiat on/off-ramp infrastructure.

The next logical step is to open this stack as an API for Agents, letting Agents route through them—just like humans route through @phantom or @JupiterExchange today.

In this world, the Fat App theory lives on. It just loses the frontend. Companies that won in the human era would transform into pure backend infrastructure for Agents. We already see legacy SaaS players like Salesforce moving in this direction.

A Protocol Renaissance

In another vision, Agents skip the middle layer entirely.

If integration becomes easy enough (well-documented APIs, standardized RPCs, predictable execution semantics), Agents have no real reason to pay an aggregator to do what they can do themselves. Aggregators' advantages in the human era were UX and dealing with routing complexity.

But Agents don't need UX, and routing is an engineering problem they're becoming increasingly good at solving.

If the world evolves this way, the Fat Protocols theory could see a renaissance.

Pricing Power Collapses Throughout the Stack

Perhaps Agents apply commoditizing pressure to every corner. They are perfectly rational, routing to the cheapest venue every time, with zero friction and zero loyalty.

Apps lose the ability to charge humans a UX premium. Aggregators and infrastructure also lose pricing power, because there is no inherent human inertia protecting them from price wars.

In this scenario, little profit is captured by anyone in the stack. Margins are forced toward marginal cost across the entire supply chain. Residual value accrues to the owners of the Agents or the ultimate users the Agents serve.

Crypto becomes a utility, and it's hard to make big money in utilities.

Agents Create Unprecedented Levels of Activity

A simple take on this: Agents do everything humans do, just faster and at greater scale. Even if margins are compressed, the overall pie grows.

I think there's a more interesting version.

Agents enable activity that was previously infeasible: e.g., continuously rebalancing portfolios for less than a penny in execution costs, machine-to-machine commerce between Agents, and entirely new markets that exist only because pricing and speed are beyond human tracking.

Current on-chain activity data doesn't show this because we assume a human is necessarily involved.

If this is the shift Agents bring, then the question changes from "How do we divide the existing pie?" to "How much new economic activity pours on-chain, and which layers are positioned to serve it?"

A Business Model That Hasn't Been Named Yet

In every cycle, we try to guess where value will flow and tend to think existing business models will extend into the future. This assumption usually makes us miss new models that haven't yet appeared.

When the internet was just being built, no one foresaw the attention economy. The idea that "slicing user attention and auctioning it to advertisers would become the dominant business model, and a single company could capture a significant share of global ad spend" was alien. It only seems inevitable in hindsight.

AI looks like one of the biggest technological disruptions in decades. In an Agent-dominated world, some value capture may flow to business models no one is even naming today. And the entities capturing it may not be those the market is currently focused on.

Key Points to Watch

The most likely outcome is not one system completely replacing another. For a long time, humans and Agents will coexist as crypto users, with vastly different maps of value capture.

As long as humans interact on-chain, the Fat App theory still applies: consumers willing to pay for UX, brand, and convenience will continue to pay premiums to apps owning those relationships. The layers involved in Agent transactions will be governed by a separate theory, regardless of which vision above materializes.

For builders, I think the question worth mulling over on the Agent side is: What actually makes an Agent come back to you instead of routing directly to the next cheapest alternative? UX might not be the answer. Liquidity, latency, settlement guarantees, etc., might be.

Preguntas relacionadas

QAccording to the article, what is the core challenge posed by the rise of Agents for existing value capture theories in crypto?

AAgents break existing value capture theories because they change the nature of the 'user.' Both the 'Fat Protocol' and 'Fat App' theories assume users are humans who care about UX, brand, and convenience. Agents, being software, do not care about these things; they directly call APIs, have no brand loyalty, and switch between platforms with zero cost. This nullifies the application layer's front-end moat, which is central to the Fat App theory.

QWhat are the three possible scenarios presented in the article for value capture in an Agent-dominated future?

AThe article outlines three potential scenarios: 1) 'Headless' Apps: Existing application winners strip away their front-end and serve Agents via APIs, preserving the Fat App logic in a backend form. 2) Protocol Resurgence: Agents skip middlemen entirely and interact directly with protocols, potentially reviving the Fat Protocol theory. 3) Pricing Power Collapse: The hyper-rationality and zero-switching-cost of Agents drive commodification pressure across the entire stack, compressing margins towards cost, with value flowing to Agent owners or end-users.

QHow does the article differentiate the 'Fat Protocol' and 'Fat App' theories in terms of who captures value?

AThe 'Fat Protocol' theory, dominant for nearly a decade, posits that value aggregates at the protocol layer (like Ethereum) because applications built on open, shared data become commoditized, and protocol token usage captures speculative value. In contrast, the emerging 'Fat App' theory argues that value accrues at the application layer (like wallets and exchanges) because the most valuable asset is the user relationship—controlling the interface and transaction flow grants control over distribution and monetization.

QWhat key advantage do Agents have over human users that could fundamentally alter the crypto economic landscape?

AAgents possess hyper-rationality and zero-friction switching. Unlike humans, they are not influenced by UX, brand loyalty, or convenience. They will always route transactions to the cheapest or most efficient option instantly and without hesitation. This removes the inertia that protects applications and aggregators from pure price competition, potentially forcing the commodification of services across the technology stack.

QAccording to the author, what should builders focus on to capture value from Agent users, since UX is not the answer?

AThe author suggests builders should focus on attributes that would make an Agent choose their service repeatedly over a cheaper alternative. The answer is likely not UX. Instead, competitive advantages could be built around factors like superior liquidity, lower latency, stronger settlement guarantees, or other performance and reliability metrics that matter to automated, efficiency-seeking software.

Lecturas Relacionadas

Goldman Sachs Research Report Analysis: Chip Shortage to Persist Until 2028, Maintain Buy Recommendations

Goldman Sachs Research Report Summary: Memory Shortage Until 2028, Maintain Buy Recommendations Goldman Sachs' latest Asia-Pacific equities report, "The 720," forecasts a sustained memory chip upcycle extending into 2028, driven by strong AI server demand visibility, limited supply growth, and binding long-term agreements. The firm believes the market significantly underestimates the cycle's duration, as evidenced by low P/E ratios for memory stocks. Key sector calls include raising 12-month price targets for Samsung Electronics and SK Hynix, and upgrading Kioxia from Hold to Buy, citing higher and more sustainable peak profits over the next 2-3 years. The report also highlights the broader AI hardware supply chain benefiting from hyperscaler capex acceleration. Recommendations include: * MediaTek (Buy) for its data center/ASIC pivot. * Eoptolink (Buy) on 1.6T optical module ramp-up. * Biren (Buy) for its AI chip migration. * Huaqin (Buy, newly covered) for its shift from consumer electronics ODM to AI data centers. * Lenovo (Buy) on the AI PC refresh cycle. Other notable mentions include China property developers (under an optimistic scenario), BYD for its affordable city NOA strategy, and select Japanese semiconductor equipment makers. A macro theme notes the divergence between AI-boom beneficiaries (e.g., Korea, Taiwan) and energy-importing economies facing inflationary pressure. The report concludes with standard disclaimers, noting that price targets are forward-looking estimates and that sell-side research has an inherent bullish bias. The core investment thesis hinges on the longevity of the memory upcycle and the AI-driven capex wave.

marsbitHace 18 min(s)

Goldman Sachs Research Report Analysis: Chip Shortage to Persist Until 2028, Maintain Buy Recommendations

marsbitHace 18 min(s)

A Detailed Look at Cathie Wood's Masterful Moves on Circle

Title: A Detailed Look at Cathie Wood's Masterful Moves on Circle ARK Invest's Cathie Wood executed a textbook investment strategy on Circle (CRCL), showcasing how a long-term investor can capitalize on short-term volatility. Key to her success was securing 4.49 million shares at the $31 IPO price before the public offering, leveraging pre-IPO access unavailable to most investors. The stock debuted at $69, fueled by extreme demand against a limited float of only 15% of total shares. Wood then began systematically selling as the price soared, driven by policy optimism like the GENIUS Act, which pushed shares to nearly $299. She sold approximately 1.7 million shares across four transactions at an average price around $210, partly triggered by ARK's internal rule to rebalance when a single stock's weight exceeds 10%. Following a steep decline due to lock-up expirations, increased supply, and interest rate concerns, Circle fell over 80% from its peak. Wood started buying back shares around $82-$86 after a strong Q3 earnings report ironically caused a price drop in November 2025. She continued buying on the way down, eventually rebuilding her position to roughly 4.5 million shares by Q1 2026. The core lessons from Wood's play are: 1) A firm, independent conviction in Circle's long-term narrative as a digital dollar infrastructure player. 2) Executing in phases—selling into strength and buying into weakness—without attempting to time exact tops or bottoms. 3) Strict adherence to position-sizing and rebalancing rules, which forced profit-taking at highs and created capacity to buy at lows. For most investors, chasing the volatile post-IPO "pop" is risky; Wood's success was built on pre-IPO access, deep research, and disciplined execution.

marsbitHace 21 min(s)

A Detailed Look at Cathie Wood's Masterful Moves on Circle

marsbitHace 21 min(s)

Morning Post | Michael Saylor Releases Bitcoin Tracker Info; Aave Publishes Kelp rsETH Bridge Attack Post-Incident Investigation; Gravity Bridge Announces Service Suspension Following Attack

ChainCatcher Daily Summary - June 1, 2026 In regulatory news, the U.S. OCC granted preliminary conditional approval for Laser Digital to establish a federally regulated trust bank. In Vietnam, a draft law amendment proposes allowing SMEs to use digital and virtual assets as loan collateral. Hong Kong's SFC chairman reported that trading volume on the city's 12 licensed virtual asset platforms grew nearly 300% YoY in Q1 2026. Notable incidents include the Cosmos ecosystem cross-chain bridge Gravity Bridge pausing services after an attack. Aave published a post-mortem on the April 18th Kelp rsETH bridge attack, attributing it to a third-party bridge infrastructure vulnerability via an RPC poisoning attack, not the Aave protocol itself. In market developments, MicroStrategy's Michael Saylor hinted at a potential upcoming Bitcoin purchase announcement. Fed Governor Waller commented that widespread stablecoin adoption could amplify the impact of U.S. monetary policy. Meanwhile, sentiment analysis from Santiment indicates a record-high Bitcoin long/short ratio of 2.23, potentially signaling a short-term price correction, while Ethereum shows signs of FUD among commentators. In legal matters, the SEC sued the founder of Privvy Investments for an alleged $12.3 million crypto AI trading bot scam. In China, a Qingdao man was sentenced to 10 years and 9 months for stealing 107 BTC by obtaining a victim's wallet seed phrase. Top trending meme tokens on ETH, Solana, and Base networks for the past 24 hours are also listed.

链捕手Hace 1 hora(s)

Morning Post | Michael Saylor Releases Bitcoin Tracker Info; Aave Publishes Kelp rsETH Bridge Attack Post-Incident Investigation; Gravity Bridge Announces Service Suspension Following Attack

链捕手Hace 1 hora(s)

Trading

Spot
Futuros
活动图片