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16 Oct 2026

Inside the Artificial Intelligence (AI) sector, 16 October 2026

The AI sector's 86 tracked constituents held a combined market cap of roughly $25.2 billion as of 16 October 2026.

Sector Scope and Concentration

As of 16 October 2026, the Artificial Intelligence (AI) sector tracked 86 constituents with a combined market capitalisation of approximately $25.2 billion. Concentration is notable: the single largest member, NEAR Protocol, carried a market cap of roughly $6.7 billion, representing well over a quarter of the sector total on its own. The two largest members together accounted for more than $9.8 billion, meaning the remaining 84 constituents shared less than 61% of the sector's aggregate value. This kind of top-heavy distribution is common in nascent sector classifications, but it means sector-level figures are heavily influenced by the behaviour of a small number of assets.

Fee Streams: Present and Absent

Of the 15 largest members listed, only seven carry a reported annualised fee figure (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), The Graph ($0.21 million), Virtuals Protocol ($5.19 million), and Render. The remaining eight of the fifteen largest members show no measurable fee stream in the data. Bittensor, Akedo, Pearl, Artificial Superintelligence Alliance, Grass, Unibase, Pieverse, Kite, and Quack AI all carry a null fee figure. The absence of a fee figure does not itself characterise a protocol's activity; it may reflect architectural design, the absence of on-chain fee capture, or a data availability gap. Readers should treat the fee column as incomplete rather than exhaustive.

Distance from All-Time Highs

The spread of drawdowns from all-time highs across the 15 largest members is wide. At one end, Quack AI sits just 1.8% below its all-time high (as of 16 October 2026), and Pearl is approximately 15.2% below its peak. At the other end, Internet Computer and The Graph are recorded at 99.6% and 99.1% below their respective all-time highs. Several other members — including Artificial Superintelligence Alliance (–94.2%), Virtuals Protocol (–86.7%), Render (–85.8%), and Grass (–83.2%) — show drawdowns exceeding 80%. The dispersion itself is a structural observation: all-time highs were reached at different points in time, under different market conditions, so cross-member comparisons of this figure describe magnitude but not timing or cause.

What the Sector Label Does and Does Not Convey

The label Artificial Intelligence (AI) groups together assets with materially different technical architectures and economic models: decentralised compute networks, data-indexing protocols, agent-framework tokens, bandwidth-sharing layers, and others. The classification reflects a thematic affinity — each project describes some relationship to AI infrastructure or tooling — rather than a uniform business model or comparable revenue mechanic. A reader using this sector as a proxy for a single underlying exposure should note that the constituents are not uniformly comparable on fee generation, protocol maturity, or chain architecture. The 7-day return figures (trailing 7 days to 16 October 2026) range from approximately –14.7% (Pieverse) to +100.9% (Quack AI), a spread that itself signals the heterogeneity within the classification.

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Die Zahlen, auf denen dieser Beitrag basiert

sectorArtificial Intelligence (AI)
periods{'fees': 'annualized from the trailing 30 days', 'returns': 'trailing 7 days'}
largest members[{'name': 'NEAR Protocol', 'return_7d_pct': 5.8161, 'market_cap_usd': 6660975024.0, 'fees_annualized_usd': 2692276.5, 'percent_below_all_time_high': -75.10058}, {'name': 'Bittensor', 'return_7d_pct': 2.566, 'market_cap_usd': 3172370961.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -63.07157}, {'name': 'Internet Computer', 'return_7d_pct': 2.1507, 'market_cap_usd': 1691199970.0, 'fees_annualized_usd': 2220136.8333333335, 'percent_below_all_time_high': -99.56716}, {'name': 'Venice Token', 'return_7d_pct': 7.0071, 'market_cap_usd': 1130082344.0, 'fees_annualized_usd': 11529267.166666666, 'percent_below_all_time_high': -32.45354}, {'name': 'Render', 'return_7d_pct': 2.9733, 'market_cap_usd': 994378078.0, 'fees_annualized_usd': 2975480.0, 'percent_below_all_time_high': -85.84468}, {'name': 'Akedo', 'return_7d_pct': 3.7697, 'market_cap_usd': 685160756.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -79.3326}, {'name': 'Pearl', 'return_7d_pct': 26.4437, 'market_cap_usd': 616949590.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -15.22076}, {'name': 'Artificial Superintelligence Alliance', 'return_7d_pct': -7.7681, 'market_cap_usd': 462089048.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -94.212}, {'name': 'Grass', 'return_7d_pct': 2.8008, 'market_cap_usd': 457887100.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -83.18655}, {'name': 'Virtuals Protocol', 'return_7d_pct': -5.2484, 'market_cap_usd': 442724949.0, 'fees_annualized_usd': 5185615.833333333, 'percent_below_all_time_high': -86.71952}, {'name': 'Unibase', 'return_7d_pct': -9.539, 'market_cap_usd': 319384265.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -47.54883}, {'name': 'Pieverse', 'return_7d_pct': -14.6606, 'market_cap_usd': 310672953.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -43.01832}, {'name': 'Kite', 'return_7d_pct': -1.3252, 'market_cap_usd': 291978669.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -61.8072}, {'name': 'The Graph', 'return_7d_pct': -5.8115, 'market_cap_usd': 274203476.0, 'fees_annualized_usd': 211800.8616666667, 'percent_below_all_time_high': -99.11808}, {'name': 'Quack AI', 'return_7d_pct': 100.9215, 'market_cap_usd': 263631208.0, 'fees_annualized_usd': None, 'percent_below_all_time_high': -1.75724}]
observation date16 October 2026
constituents tracked86
sector market cap usd25163181761.237198
Verfasst von einem KI-Sprachmodell, ausschließlich auf Basis der oben aufgeführten Zahlen. Es enthält keine Kurseinschätzung und keine Empfehlung. Kennzahlen beziehen sich auf die Referenzzeiträume, die auf den jeweiligen Seiten angegeben sind. · claude-sonnet-4-6
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