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AI is no longer limited to analyzing markets; it is increasingly executing actions directly on-chain. Instead of waiting for human decisions, AI agents deploy capital, route liquidity, and call smart contracts in real time. This shift is changing how on-chain activity behaves, contributing to demand patterns that are less sharply cyclical and more stable.
Research data cited from Binance indicates that nearly 70% of AI actions go into execution. Unlike human activity—which tends to rise with volatility and then fade—agents operate continuously under fixed rules. As a result, transaction flow becomes more stable rather than spiking and dropping in distinct cycles.
This steady interaction supports baseline gas usage and helps keep networks active even during quieter periods. The article suggests this could make markets less reactive while improving efficiency, as constant machine-driven demand alters how liquidity moves.
The article also links the on-chain execution trend to a rapid increase in AI spending. It states that AI spending rises from about $1.75 trillion in 2025 to $2.53 trillion in 2026, with a projection of $3.34 trillion by 2027.
It attributes the surge to a capacity-building race, with infrastructure investment growing from roughly $964 billion to over $1.74 trillion. Services are also projected to expand from $439 billion to $761 billion, indicating that growth concentrates at the base first—before broader deployment expands into applications and data layers.
More importantly, the article argues that as systems become deployable, demand shifts from research toward real-world execution. This frames AI as moving toward an operational layer, where sustained capital supports long-term, scalable ecosystems.
The article describes a functional split in crypto networks as AI shifts from analysis into execution. Instead of activity concentrating solely around dominance, it says agents increasingly distribute tasks based on function—requiring both fast execution and secure settlement.
Solana (SOL) is presented as supporting high-speed execution, with throughput near 3,000 to 3,300 Transactions Per Second (TPS). The article also states that bots drive $568 billion, accounting for 70% of trading activity.
Ethereum (ETH) is described as anchoring settlement. The article notes Ethereum holds a large share of the $320 billion stablecoin supply and benefits from deeper liquidity pools. It also states that stablecoin volumes approach $10 trillion monthly.
With agents operating continuously, the article suggests Solana is used for speed while Ethereum is relied on for final value storage and coordination. Together, this balance is described as supporting a layered infrastructure model where execution and settlement work in tandem for machine-driven markets.
Overall, the article concludes that AI-driven activity is reshaping crypto markets by increasing the share of transactions executed by agents. It argues that sustained capital flows can keep networks active, reduce volatility, and help turn on-chain systems into more central financial infrastructure.
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