The AI-focused crypto sector is currently valued at around $24 billion to $25 billion, against a total cryptocurrency market of approximately $2.86 trillion. Anthropic reportedly raised $65 billion at a $965 billion valuation in May, while Nvidia generated $96.2 billion in quarterly revenue in July, representing 106% annual growth. Yet despite the explosive expansion of the AI industry, most major AI-linked tokens remain 70% to 90% below their 2024-2025 peaks.
The disconnect raises an important issue for crypto investors: does the growth of artificial intelligence actually create demand for AI-related tokens, or are the primary beneficiaries companies supplying chips, cloud computing, AI models and enterprise software?
Developments in stablecoin payments provide an early example of this divide. AI agents are already generating substantial payment activity, but that usage has not yet translated into an obvious increase in demand for Solana or other underlying network tokens. The same disconnect is becoming visible across the wider AI-token market.
A recent BlackRock research paper places artificial intelligence and digital assets among the technologies shaping the current era. It characterizes AI as machine-native intelligence and digital assets as machine-native money.
The research highlights the importance of agentic AI, noting that blockchain networks could provide programmable infrastructure linking machine intelligence with economic activity.
The distinction is significant because AI businesses and blockchain tokens derive value differently. AI companies monetize through cloud services, hardware sales and enterprise licensing, whereas token economics depend on network usage, fee generation and token issuance.
The difference becomes clearer with AI-powered stablecoin payments. If autonomous agents increasingly rely on stablecoins for transactions, that activity could create demand for major blockchain networks such as Ethereum rather than necessarily benefiting a smaller token simply because it carries an AI-related label.
AI Dominates Market Attention, but Infrastructure Captures Capital
AI crypto projects accounted for 35.7% of crypto-market narrative attention in Q1 2026, surpassing meme coins at 27.1%, according to CoinGecko’s quarterly narrative report. Together, the two sectors represented 62.8% of reported market mindshare. However, the attention has not translated into comparable capital retention across the AI crypto market, which remains valued at roughly $24 billion to $25 billion.
Venture capital allocations show a stronger preference for AI infrastructure and businesses with established revenue models. AI attracted approximately $240 billion, equivalent to 80% of global VC funding, during Q1 2026. AI-blockchain companies captured 40% of crypto-related VC investment, up from 18% a year earlier.
Gartner expects worldwide AI spending to rise from $1.76 trillion in 2025 to $2.52 trillion in 2026 and $3.34 trillion in 2027, with infrastructure representing the largest spending category.
Crypto’s potential role in the AI economy centers on its ability to provide transaction infrastructure. Smart contracts and stablecoins can allow autonomous agents to execute payments continuously and at relatively low cost. BlackRock’s research suggests stablecoins, native crypto assets and other on-chain instruments could function as machine-native payment and settlement tools, while global spending on computing is expected to reach $1 trillion by 2030.
Still, broader AI adoption does not automatically translate into higher values for every AI-related token. Transaction volumes, fees, revenue generation and partnerships provide more direct measures of whether a protocol is capturing economic activity.
If AI agents continue to use blockchain networks and those networks successfully capture revenue from that activity, the connection between AI growth and token value could become stronger. Without measurable usage and revenue, however, strong narrative attention alone may do little to close the valuation gap across the $24 billion to $25 billion AI crypto sector.
