The digital asset sector is on the brink of fundamental changes driven by the adoption of artificial intelligence. This is not just about automation, but about the emergence of a new class of economic agents capable of making payments, trading, and managing liquidity. However, as my analysis of Fidelity Digital Assets data shows, the benefits of this transformation will be distributed extremely unevenly.
Developer Productivity: A Quantitative Leap
A study covering more than 100,000 developers on GitHub demonstrates impressive results: the use of AI assistants increased the number of commits by up to 180% and release frequency by 30%. This means that small teams are now able to create and launch blockchain applications at unprecedented speed. However, I would note an important nuance: in the financial sector and critical software, manual code review remains mandatory, which offsets some of AI's advantages in the most conservative segments.
Notably, even during the bear market of 2026, when the total number of developers declined, the intensity of work per specialist continued to grow. This suggests that AI is becoming not just a tool, but a catalyst for efficiency that is changing the very cost structure of the industry.
On-Chain Economy for Machines
The key driver of future growth is autonomous AI agents. Blockchains are ideally suited for their operations thanks to 24/7 operation and programmable settlements. The market is already taking shape: according to my data, by May, agents had conducted over 176 million transactions worth more than $73 million, with 98.6% of operations in USDC. Infrastructure is actively developing—Coinbase has already launched the x402 protocol and the Coinbase for Agents toolkit.
Nevertheless, I share Fidelity's skepticism regarding the full transition of operations to public blockchains. Traditional financial institutions, possessing client bases and credit products, will develop their own closed solutions. The most likely scenario is a multi-platform strategy for agents, choosing routes based on cost and convenience criteria.
The Illusion of Revenue
A critically important point that many overlook: the growth in transaction volume does not guarantee growth in network revenue. My calculations confirm Fidelity's conclusions: over the past 180 days, trading brought the Ethereum base layer 49 times more revenue per dollar of volume than payments. Payments are easily bundled and moved to L2 solutions, while capital operations—trading, lending, liquidity provision—generate significantly higher margins.
In this context, I see the greatest potential in AI agents focused on DeFi operations rather than microtransactions. In the case of mass adoption of automatic payments, the main beneficiaries will be stablecoin issuers and infrastructure providers, not native token holders.
My professional opinion: the market is overestimating simple payment scenarios for AI agents. The true value lies in complex financial operations, where blockchain provides unique advantages. Investors should pay attention to projects that integrate AI into liquidity and lending mechanisms, rather than trivial B2C payments.