Headline: Agentic Finance Is Here — And Crypto Is Becoming Its Money
By Sarah Morton
Vincent Chok, CEO and co-founder of First Digital, breaks down a fast-emerging trend: AI agents are moving past advice into execution, and crypto is positioning itself as the natural payments and settlement layer for these machine-driven actors. We also ran a small experiment asking three leading AI models — Grok, Gemini and Claude — where AI payments already show value and what’s required for them to scale. Note: the model replies reflect each system’s perspective and are not financial or legal advice.
Why “agentic finance” matters
- Rapid adoption: A recent PwC survey of 300+ companies found 79% are already using AI agents in some form. These systems are no longer just chatbots or copilots — they’re making decisions and executing actions under human-set limits.
- New user class: With agents able to act autonomously on set objectives, non-human actors are emerging as an economic force. That changes how money, rails and controls need to be built.
The three layers of agentic finance
1. Agentic commerce — discovery and decisioning (e.g., an agent finds the best hotel or subscription).
2. Agentic payments — execution once a user or policy approves the transaction.
3. Asset management — full-stack orchestration: portfolio management, payments, and realtime strategy optimization.
This is conditional delegation, not full autonomy: humans set goals, limits and permissions, and agents carry out execution under those constraints.
Why traditional rails don’t fit — and why crypto does
- Structural mismatch: Legacy banking rails weren’t built for always-on, global machine actors that need instant, programmable settlement.
- Crypto strengths:
- Stablecoins = programmable, 24/7 money.
- Blockchains = instant, global settlement and transparent provenance.
- Crypto wallets = permissionless, programmatic access to funds.
Taken together, these components form a payments and settlement stack that better matches how AI agents operate — making crypto more than an asset class, but an infrastructure play for autonomous systems.
Early use cases you should watch
- Machine-to-machine payments: API-driven inter-merchant rails enabling faster, higher-frequency settlements.
- Autonomous commerce for consumers: agents optimizing travel, subscriptions and shopping decisions.
- Crypto-native trading agents: portfolio management, yield optimization and automated strategies.
- Enterprise automation: supply-chain orchestration and vendor payments that reduce errors and manual work.
Most of the activity today is B2B and infrastructure-first rather than consumer-facing. But agents are already creating demand for new primitives: agent-native wallets, stablecoin payment rails and data/compute marketplaces.
Real-world signals and product moves
- Coinbase’s x402 is an example of an open payments protocol designed for agent-native transactions. These protocols are particularly relevant for micropayments, where high volume and low value make legacy rails inefficient.
- As agents proliferate, you’ll see growing demand for specialized wallets, low-friction settlement rails and marketplaces for compute and data.
Risks and the regulatory horizon
- Security: Rogue or compromised agents executing unintended transactions is the top immediate risk.
- Legal questions: Authorization, liability and compliance frameworks remain unsettled.
- Trust and adoption hinge on regulatory clarity. Projects and institutions need clear rules to build reliably and protect users’ funds and rights.
What to watch in the next 12 months
- Agent-driven transaction volume growth.
- Emergence of agent-native wallets and payments protocols.
- Deeper product integration between stablecoins and AI-driven systems.
- Regulatory guidance and enforcement that shapes how broadly agentic finance can scale.
Bottom line for advisors
AI agents are not a distant idea — they’re executing transactions today in limited environments. Crypto is increasingly the financial backend for this machine-driven economy. For now, this trend is largely an infrastructure and long-term thematic play, but rising adoption is changing that. Advisors should monitor agentic finance as a potential driver of crypto utility and new investable categories.
Ask an Expert: Two questions for three AIs
We asked Grok, Gemini and Claude two concise questions: (1) What AI payment use cases do you see today? (2) What’s needed for AI payments to scale? Responses shared common themes — security, identity, programmability and clearer regulation — along with model-specific nuances. The experiment highlights both convergent thinking and practical gaps that must be filled for agentic payments to become mainstream.
— Vincent Chok, First Digital (analysis)
— Sarah Morton (editorial note)
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