🚀 Verticalization, AI Agents, and Regulation: Inside Sui’s Long-Game

🔎 Key Takeaways

• Verticalization is in motion: Platforms are moving up the stack, shipping their own product building blocks to catalyze ecosystems—without crowding out third-party builders.
• Finance is the beachhead, not the boundary: Tokenization is generalized infrastructure that extends well beyond financial assets.
• Business models are shifting beyond gas: Base-layer fees trend toward commodity pricing; growth now centers on yield-bearing primitives and product-driven economics.
• Agentic finance needs layered scale: Capacity should grow with demand via a multi-layer, interconnected approach—not hype about “billion TPS today.”
• Institutional demand is geographically uneven: Asia is accelerating; the US is active but slower, seeking turnkey solutions.

Policy Backdrop: Clarity Unlocks Velocity

Regulation dominated the conversation in Washington, with industry participants zeroing in on clear rules of the road—including efforts often referenced as the Clarity Act and an innovation exemption. The priority is straightforward: durable guidance that enables building without guesswork, while avoiding frameworks that shift undue liability onto developers and choke innovation. Expect the pace of development to accelerate as foundational questions are settled, even acknowledging that rulemaking typically trails technology.

“What we were all looking for is clarity… With that being clear we can build for it.”

Beyond “It’s Just Finance” — Tokenization as General Infrastructure

While the current energy clusters around finance—stablecoins, vaults, on-chain liquidity, payments—tokenization is framed as a generalized coordination layer for assets and data. Market structure is the entry point, not the endpoint. The trajectory points toward automation and orchestration across domains, with finance simply the most obvious and immediate use case.

“Everything is being automated… including some parts of the financial world. Let’s get used to it.”

Verticalization: From Platform to Product Infrastructure 🧱

The build strategy has shifted from purely bottom-up ecosystem cultivation toward a top-down plus platform model. The approach:

• Lay the core L1 as the coordination rail.
• Ship composable building blocks—from on-chain order books (e.g., DeepBook) to toolkits that reduce blockchain complexity for non-crypto-native teams.
• Enable distribution by letting partners integrate these blocks into existing front ends and workflows.

Think iOS, Windows, Android, Roblox: category-defining platforms often seeded demand with their own products before opening the floodgates to third-party builders. The key is to avoid competing with the ecosystem while providing infrastructure others can plug into.

“It’s not ‘we’ll take all the opportunity.’ That never works. Our products are product infrastructure others can use as building blocks.”

Tokenization’s Beneficiaries: Consumers First, Fintechs Fast

Asked who wins if the trillions-on-chain thesis plays out, the answer was deliberately broad. Near term, hyper-liquid venues and fintechs that rapidly productize (trading, payments, cross-border) have already seen outsized gains. Names cited included Hyperliquid and Robinhood. Over time, integration should blur the line between “finance” and “everything else,” with consumers as the ultimate winners.

“Ultimately consumers should benefit… It’s about who adopts quickly and best.”

Numbers That Matter: USD Suite’s Momentum

Within the ecosystem, the USD suite is gaining traction, described as a core export with USD suite at 580 million in TVL. The roadmap builds outward from this foundation, emphasizing primitives that other applications and surfaces can integrate.

The New L1 Business Model: Fees Are Not the Business

Gas-based revenue was always destined to compress. Competing chains drive costs down; scale reduces fees; “annualizing fees” into a network P&L was never a sustainable thesis. The economic model pivots to product-led monetization and yield-bearing assets whose economics recycle value back into the ecosystem.

“If you’re selling a commodity, price goes to the floor… It’s not about jacking up fees. It’s about other ways to make money.”

AI, Agents, and the Next Compute-Asset Stack 🤖

AI is treated as ubiquitous. The focus is less on using AI to polish products and more on integrating with AI to address its limitations—especially around agentic commerce. The near-term “obvious” work: wallets and payment rails for agents. The scaling view is pragmatic: capacity should expand with demand through a layered system, interconnecting chains and adding layers above the base—not by promising maximal TPS today.

“In the very long term, needs may be massive. But whether that’s one chain or many, layers will carry the load. Hyping ‘we need it now’ is fair to question.”

Market Structure, Buybacks, and the “Grown-Up Table”

With the ecosystem under “big boy table” scrutiny—P/E-like expectations, business-line transparency, and daily-revenue buybacks making headlines—there’s pressure to optimize for the present. The stance here is to balance near-term competitiveness with long-horizon payoff, avoiding decisions that sacrifice a generalized platform for immediate wins.

“Long-term success looks flat, flat, flat—until it goes vertical. The question is where that point is for us.”

“The gap between Hyperliquid and Sui today is not as big as you think… These things move very quickly.”

Institutional Flows and Geography: Asia Leads, US Tests

Institutional appetite is robust but uneven. The US and Wall Street are active yet slower-moving, often seeking turnkey solutions and running proofs-of-concept before scaling. By contrast, Asia is surging—described as “through the roof”—with deepening institutional engagement and strategic relationships across major technology incumbents.

“We’re going where demand is right now—it’s Asia.”

One claim highlighted a unique footprint across leading Asian tech firms, with relationships spanning giants often associated with China-based ecosystems.

What to Watch

• Regulatory clarity: Resolution of core questions could catalyze the next leg of adoption—particularly for tokenization, payments, and RWA rails.
• Verticalized primitives: Expect more product infrastructure that abstracts blockchain complexity for non-crypto-native builders.
• Agentic finance: Practical steps—wallets, policy controls, and payment rails for AI agents—before grandiose throughput claims.
• Asia-first distribution: Accelerating partnerships and pilots may convert to scaled deployments sooner abroad than in the US.
• Beyond-fee economics: Growing reliance on yield-bearing assets and ecosystem flywheels over raw transaction fees.

The throughline is consistent: build the coordination layer, abstract the complexity, and let demand dictate scale. Finance leads for now; automation follows everywhere.