AI ignites the third major leap in Crypto, laying out the next trillion-dollar opportunity across four key tracks

Author: Karthik Senthil

Compiled by: Deep Tide TechFlow

Introduction

As the narrative around smart contracts gradually loses its appeal, the strong entry of AI brings a breakthrough, driving an unexpected wave of enthusiasm and innovation. From the consensus layer of Bitcoin to the execution layer of smart contracts, and now to the AI-driven application layer, has the crypto industry ushered in a third technological leap?

KOL @karsenthil has published his views on Crypto X AI at different times, believing that we are on the brink of the next "takeoff" in the crypto industry.

The original content is divided into two parts, with a somewhat scattered structure.

In the first article , the author expresses the view that AI will drive blockchain into the next technological leap. In the second article , he elaborates on the specific implementation paths of AI at the application and infrastructure layers, highlighting potential opportunities for investors and builders.

Deep Tide TechFlow has integrated and compiled it, and below is the complete content.

Crypto X AI Argument (Part One) ------ We Are Welcoming a "Leap" Development

AI is driving blockchain towards the next major leap.

Each stage of blockchain development typically follows a similar trajectory:

• A "leap" technological advancement triggers a new wave of innovation;

• As numerous imitators join in, technological progress gradually stagnates;

• Then, the next technological leap occurs, pushing the industry forward.

Original image from @karsenthil , compiled by Deep Tide TechFlow

The first significant leap in cryptocurrency occurred at the consensus layer, marked by the invention of Bitcoin and proof of work (PoW). From 2009 to 2014, this wave increased the market capitalization of cryptocurrencies by over 10,000 times (from about $750,000 to about $75 billion).

The second leap appeared at the execution layer, where the emergence of smart contracts enabled programmability in blockchain. Today, the vast majority of blockchain infrastructure (such as L1, L2) and applications (such as tokens, stablecoins, DeFi) rely on this core innovation. Since 2014, this wave has driven the market capitalization of cryptocurrencies to grow by about 500 times, reaching approximately $3.5 trillion, with projects born in this phase accounting for about 43% (approximately $1.5 trillion) of the total market cap.

However, current technological progress has once again stagnated. Why is this the case? Here are my views (which may be controversial):

• The potential of smart contracts has basically been exhausted. Even the recently popular memecoins are merely recombinations of existing technologies (such as tokens, bonding curves, NFT community trends) rather than entirely new inventions.

• Smart contracts have become the main bottleneck for user experience (UX). Current crypto applications require direct interaction with smart contracts, meaning users must understand where the contracts run, their functional significance, and how to interact with them, as well as sign transactions and pay gas fees.

Fortunately, the next technological leap is already here—bringing new innovations at the application layer by enhancing usability.

AI Will Become the User Experience Layer of Crypto Technology

The popularization of every new technology requires a strong "frontend" to simplify complexity and integrate functionality. Personal computers have graphical user interfaces (GUIs) and operating systems, the internet has web browsers and FAANG, and mobile devices have native apps and app stores.

AI will become the user experience layer of blockchain technology, providing users with an order of magnitude better experience, thereby driving broader adoption. AI can solve three major user experience challenges in crypto technology: user guidance, execution of complex operations (which often require multiple steps, and large language models (LLMs) excel at handling these steps), and feature discovery. I predict that by 2030, 40% of the global population will have had on-chain transaction experiences, with over 95% of these transactions completed through AI. By then, people will unconsciously use applications powered by blockchain technology.

Original image from @karsenthil , compiled by Deep Tide TechFlow

To achieve this, AI will act as a bridge connecting the application layer and blockchain infrastructure, functioning both upward and downward in the tech stack. In the future, applications will interact directly with AI agents, which will aggregate and execute on-chain operations on behalf of users. Additionally, smart contracts will evolve into "intelligent tokens" deeply integrated with AI, providing users with generative and customized experiences, moving away from the current one-size-fits-all model.

From the perspective of AI, the future of blockchain applications becomes clearer. For example, the next generation of financial super applications may leverage AI to proactively recommend and execute on-chain DeFi operations based on users' intentions and preferences (such as security, yield, etc.), combined with real-time information from prediction markets. Users will not need to understand the differences between L1 and L2, or the names of protocols and assets, nor will they need to know how cross-chain bridges work. The early signs of this trend have already begun to emerge.

Crypto X AI Argument (Part Two) ------ Opportunities for Builders and Investors

So, who will be the biggest winners?

As AI-driven innovations accelerate at the application layer, the answer is clear: applications remain the focus (of course, with the support of infrastructure, as this is still the crypto space). As David mentions below, we are already beginning to see a shift from infrastructure cycles to application cycles , and the addition of AI will further drive this trend.

@divine_economu: "In 2024, the cryptocurrency space will witness two significant milestones:

1. Popular projects will be application-led for the first time.

2. Popular protocols will be those that support the development of applications in innovative ways.

This is the first time in crypto history that we are transitioning from an infrastructure-led cycle to an application-centric cycle."

( Tweet details )

I am particularly optimistic about the following four types of crypto products, all of which are in the early stages of development and thus have enormous growth potential:

1.

#### Aggregators, also known as SuperApps

I predict that the future "FAANG of the crypto space" will emerge: these super applications will integrate functionalities from agents that simplify the on-chain user experience (UX) and connect directly with users. At the same time, these applications will vertically integrate the tech stack, enhancing their application capabilities while attracting developers' attention by providing infrastructure (similar to Amazon or Google). In their respective fields (such as search and advertising, finance, commerce, social, etc.), these applications will exhibit monopolistic characteristics. Just as FAANG companies currently contribute about 20% to the S&P index, I expect this category of applications to capture a similar proportion of the crypto market share by 2030. Conservatively, this market opportunity is worth hundreds of billions, while optimistically it could reach trillions.

Especially in the DeFi (or DeFAI ) space, I believe this is a killer application scenario: imagine a next-generation one-stop financial super application where users can seamlessly access all on-chain financial assets, receive investment advice or ideas, analyze market sentiment in real-time, and quickly execute investment decisions. Another exciting direction is a "crypto version of Google," which solves the discovery problem of crypto applications and assets by designing algorithms similar to "PageRank," while monetizing through advertising or innovative value streams.

Winners in this category will create unimaginable outcomes because they will possess a key advantage that Web2 super applications lack: Tokens. Tokens are the only tools in the crypto space that have proven to have strong product-market fit (PMF), capable of attracting users, rallying believers and investors, and occupying market mindshare.

2.

#### Agents as SaaS

I am excited about AI agents that can perform exceptionally well in specific domains. These agents can be used in conjunction with aggregators or other agents, much like today's SaaS products or financial products. For example, imagine a fully autonomous agent that accepts funds from liquidity providers (LPs) and makes top-tier investments in the crypto market (being among the top 1% of high liquidity traders while also participating in the best-performing investment opportunities), charging lower management fees than ETFs or funds. Or an agent that can achieve high returns in prediction markets or sports betting. Another example is tools like @aix_bt , which can provide high-quality market and investment research data. These agents will enable users to access previously hard-to-reach markets (such as dollars or real-world assets (RWAs) that are now on-chain) and offer advanced investment strategies (like quantitative trading or venture capital).

@Loopifyyy: "The first AI agent that can trade on-chain for me and truly works, I would not hesitate to invest my entire net worth. It solves the user experience (UX) issue, and now I can use blockchain with just a simple prompt, regardless of whether it's cross-chain."

This is not limited to the financial sector. I can envision a future with an AI doctor, specifically trained for individual patient profiles, capable of charging insurance companies through crypto payment channels and issuing low-risk prescriptions. Or an AI insurance agent that can find the cheapest home insurance for your house. Of course, to be frank, we are still some way from realizing these scenarios (most agents currently cannot even complete basic on-chain interactions).

However, as these agents continue to innovate in customer acquisition, value realization, and pricing mechanisms through their native tokens (for example, users need to hold 100 AIXBT to access premium services), the opportunities in this field are virtually limitless. As this trend deepens, I believe that platforms specifically designed for trading and managing AI agents (similar to agent markets like eBay or OpenSea) will also see tremendous growth opportunities.

3.

#### AI-Native Infrastructure

The most important infrastructure opportunities in the future (such as the next generation of L1) will no longer focus solely on speed or cost optimization, but will attract users by significantly enhancing user experience (UX). This enhancement will be achieved by building core architectures around AI agents and AI-driven smart contracts, natively supporting the following functionalities: efficient on-chain reasoning capabilities (see Section 4), providing verifiable off-chain reasoning capabilities through trusted execution environments (TEEs), supporting semi-autonomous AI agent operations with smart accounts (built-in protection mechanisms to execute tasks on behalf of users), accessing computing resources and model training capabilities, and enabling bidirectional value flow between agents to promote collaboration and innovation in economic models.

Similar to the decentralized applications (dApps) of the current era, many of the aforementioned agents in the second category (especially long-tail agents) will choose to deploy on these new L1s rather than managing infrastructure themselves, while enjoying the network effects brought by proximity and composability. I am also excited about the potential of these new generation L1s, which may redefine value capture mechanisms, maximum extractable value (MEV), and consensus mechanisms (for example, can agents become validators?).

This does not mean I have a pessimistic view of Ethereum, Solana, or other mainstream L1/L2 ecosystems. In fact, these ecosystems will gradually introduce similar functionalities in the coming years. But I believe that those new L1s born in this era will be more aligned with the needs of contemporary developers and thus will have tremendous growth potential. Projects like ai16z and Virtuals have already demonstrated the early signs of this trend, indicating the enormous opportunity to become a winner in this field.

Innovation in L1 will continue and remain strong.

Intelligent Assets

Currently, some popular applications in the crypto space (such as stablecoins, NFTs, ERC-20/SPL governance tokens) are deterministic and static assets. They perform excellently in achieving predetermined goals, but what if users could own intelligent assets that operate dynamically and automatically optimize to achieve specific goals (such as increasing holders or enhancing value)?

Imagine that smart contracts can dynamically call models during on-chain execution, enabling assets to perform the following operations: adjusting token supply, releasing schedules, burning or staking mechanisms, or even modifying other parameters that currently require hard coding or rely on social consensus to change. Each token could even be personalized according to the preferences of its holders, providing users with a whole new level of personalized experience.

I anticipate that early explorations of such intelligent assets will focus on the NFT and DAO domains. For example, NFTs could be generative in all aspects, not just limited to generating media content. Or a governance token could automatically draft proposals or vote on behalf of users based on protocol history and user preferences.

As technology continues to mature, the primary application scenarios for this category may shift towards the financial sector. For instance, imagine Ethena's USDE stablecoin dynamically adjusting its synthetic dollar strategy based on macroeconomic conditions. This would be an exciting future!