Cycles and narratives have always shaped the global crypto market. While Bitcoin halving cycles once dominated trend analysis, today's market—influenced by Bitcoin and Ethereum spot ETFs—reflects tighter coupling with global finance and more variables affecting its trajectory. Amid this uncertainty, understanding cycles and identifying emerging narratives becomes critical. Investment institutions, as narrative pioneers, offer valuable insights. OKX's Crypto Evolution Theory series engages leading crypto investors to explore market cycles, innovations, and sector trends.
This third installment features perspectives from OKX Ventures, Polychain Capital, and Delphi Digital on the convergence of AI and crypto. Below, we dissect their dialogue on technological integration, investment methodologies, and future opportunities.
About the Contributors
OKX Ventures
The investment arm of OKX—a top-tier crypto trading platform and Web3 innovator—with a $100M initial fund. OKX Ventures backs global blockchain projects advancing decentralized technology and long-term structural value.
Polychain Capital
A blockchain-focused investment firm optimizing portfolios for exceptional returns through active management of digital assets.
Delphi Digital
A research-driven firm accelerating digital asset market growth via four pillars:
- Delphi Research
- Delphi Ventures
- Delphi Creative
- Delphi Labs
I. When Crypto Meets AI
Computing Power
OKX Ventures:
Centralized giants like Nvidia dominate AI's "power" layer. Decentralized alternatives (e.g., io.net, Prodia) leverage idle global computing resources, challenging monopolies. Tokenized GPU assets (RWA)—seen in Compute Labs—spawn AI-Fi ecosystems via derivatives.
Polychain Capital:
Blockchain enables provenance and value accrual for AI models. Ora’s Initial Model Offering (IMO) tokens represent models, incentivizing open-source development. Decentralized governance also counters AI bias, ensuring transparent model training.
Data
OKX Ventures:
Crypto’s incentive models fuel participation in AI data labeling (e.g., Depin projects). Privacy-focused solutions (Flock.io, Privasea.ai) secure user data during model training.
Models & Applications
OKX Ventures:
Open markets could disrupt Big Tech’s model monopoly. Applications like Myshell let users create AI Smart Agents, rewarding data providers and trainers—a win-win flywheel.
Delphi Digital:
AI’s core inputs—data and compute—are ripe for crypto coordination. Distributed training protocols and DePIN networks may underpin tomorrow’s intelligent economy.
II. Investment Methodology for Crypto & AI
OKX Ventures’ Framework
- Market Demand First: Prioritize projects solving verified pain points.
- Beyond Narratives: Viable revenue models (not just token sales) are essential.
- Technical Depth: Teams need AI expertise to merge fields effectively.
Polychain’s Approach
Focus on real-world impact:
- Infrastructure: GPU networks, verifiable computation.
- Trends: Smaller, efficient AI models; decentralized data marketplaces.
Delphi’s Strategy
Invest across the DeAI stack:
- Infrastructure: DePIN networks for scalable compute.
- Middleware: Efficient model routing (e.g., "Lego" composability).
- Apps: Onchain agents enhancing crypto UX.
III. Future Opportunities & Challenges
OKX Ventures
- Break Big Tech’s AI monopoly via decentralized innovation.
- Sustainability: Teams must balance agility with financial rigor.
Polychain Capital
- Sentiment Shifts: Crypto’s ETF approvals and AI’s "superalignment" debate create openings.
- Regulatory Hurdles: Talent scarcity and legal uncertainties persist.
Delphi Digital
- Commoditization: Open-source models (e.g., Llama 3.1) erode monopolies.
- Coordination: Crypto incentives could manage a future network of millions of AI agents.
FAQs
Q1: How does crypto solve AI’s centralization problem?
A1: Decentralized compute/data markets break monopolies, offering transparent, user-owned alternatives.
Q2: What’s the biggest barrier for DeAI?
A2: Capital-intensive infrastructure—currently dominated by Big Tech’s cloud reserves.
Q3: Why invest in middleware?
A3: Efficient routing (e.g., cost-performance model selection) enables modular AI to outcompete closed systems.
👉 Dive deeper into AI-agent ecosystems
Disclaimer: Views expressed are contributors’ own and not investment advice. See OKX and Delphi for full disclaimers.