Artificial Liquid Intelligence

Allocation Structure & Vesting Schedule
The ALI token exhibits a highly fragmented allocation picture. The most frequently cited figure is a 37 % share earmarked for the “Ecosystem” pool, which appears twice in the source data, suggesting a single consistent allocation rather than a duplicated entry. Team allocations are reported at both 20 % (high confidence) and 22.5 % (medium confidence), indicating a possible revision or reporting error. Investor holdings are split across three line items—20 %, 3 % and 1.75 %—totaling roughly 24.75 % of the supply. “Other” categories sum to 13.25 % (10 % + 3.25 %), while Treasury allocations range from 5 % to 18 %, again reflecting contradictory reports. An additional 12.8 % is listed under “Airdrop,” further complicating the total distribution. Because the dataset provides no concrete token amounts, cliff periods, or vesting durations for any category, the precise release schedule remains opaque. The overlapping and inconsistent percentages suggest that the published allocation matrix may be provisional or subject to later amendment.

Upcoming Unlocks, Risks & Confidence
Given the absence of disclosed vesting timelines, it is impossible to pinpoint exact unlock dates for any stakeholder group. The lack of clear cliff or linear vesting terms raises the risk that large, unvested portions—particularly the sizable Ecosystem (≈37 %) and Investor (≈25 %) shares—could be released in lump‑sum events, exerting downward pressure on market price. Moreover, the contradictory figures for Team and Treasury allocations amplify uncertainty around potential insider sell‑offs. Our overall confidence in the allocation data is assessed as Medium: while the source is labeled “LLM‑Normalized” with high confidence for individual entries, the internal inconsistencies and missing vesting details undermine a definitive view of supply dynamics. Investors should therefore treat any price‑impact assumptions with caution and monitor official communications for a clarified tokenomics roadmap.