Inside the Artificial Intelligence (AI) sector, 16 October 2026
The AI sector tracked 86 constituents with a combined market cap of approximately $25.2 billion as of 16 October 2026.
Sector Composition and Concentration
As of 16 October 2026, the AI sector covered 86 constituents with an aggregate market capitalisation of $25.16 billion. The two largest members alone — NEAR Protocol ($6.89 billion) and Bittensor ($3.28 billion) — accounted for roughly 40% of that total, illustrating a markedly top-heavy distribution. The five largest members represented approximately 57% of sector market cap, while the remaining 81 constituents shared the balance. Concentration of this degree means sector-level figures are sensitive to price movements in a small number of assets.
Fee-Generating Members vs. Those Without Reported Fees
Among the 15 largest members shown, seven reported an annualized fee stream derived from the trailing 30 days to 16 October 2026: NEAR Protocol ($2.69 million), Internet Computer ($2.22 million), Venice Token ($11.53 million), Render ($2.98 million), Virtuals Protocol ($5.19 million), The Graph ($211,801), and Akedo and Bittensor did not. Specifically, eight of the 15 listed members — Bittensor, Akedo, Pearl, Grass, Artificial Superintelligence Alliance, Pieverse, Unibase, Kite, and Arweave — carried a null fee figure, meaning either fees were not generated, not captured, or not reported within the methodology. A null value does not distinguish between these possibilities and should not be read as equivalent to zero.
Distance from All-Time Highs
The spread of drawdowns from all-time highs across the listed members is wide. Over the trailing 7 days to 16 October 2026, members ranged from -11.4% below their all-time high (Pearl) to -99.6% below (Internet Computer), with The Graph similarly at -99.1%. Several members — Artificial Superintelligence Alliance (-94.0%), Arweave (-95.5%), and Render (-85.5%) — also showed drawdowns exceeding 85%. This dispersion is large enough that a single sector-average figure would obscure substantially different historical price trajectories across constituents.
What the Sector Label Does and Does Not Convey
The label Artificial Intelligence groups assets by thematic association rather than by a shared technical standard, revenue model, or protocol architecture. Within these 15 members alone, the underlying activities span decentralised compute marketplaces, data-indexing infrastructure, storage networks, agent frameworks, and layer-one blockchains with AI-related positioning. Two assets may both carry the AI label while having no meaningful overlap in how they generate — or fail to generate — fees, how they are governed, or what technical function they serve. The label is therefore useful as a coarse filter for thematic exposure but does not imply that constituents are economically or structurally comparable. Readers using sector-level aggregates should account for the heterogeneity in underlying asset types, the concentration in a small number of names, and the significant share of constituents for which fee data is absent.