DGrid AI Prioritizes Infrastructure with 50% DGAI Token Allocation to Node Providers

The single allocation category outweighs every other tranche — community, team, and investor buckets combined still fall short of the infrastructure pool. For readers tracking supply-side design across tokenized ecosystems, the vesting schedule carries more signal than the headline split.

Supply Distribution

Total supply: 1,000,000,000 DGAI.

• Node and infrastructure providers: 50% (500M)
• Community initiatives: 15% (150M)
• Team incentives: 10% (100M)
• Investors: 10% (100M)
• Airdrop: 8% (80M)
• Initial liquidity: 7% (70M)

The 50% node weighting indicates an infrastructure-first distribution model. Community allocation at 15% sits below the combined insider tranches at 20%, a structural tilt toward operational runway rather than grassroots distribution. Insiders plus airdrop plus initial liquidity account for 35% of supply, a ratio that frames how much float enters the market before any demand mechanism activates.

Vesting Mechanics

Unlock schedules diverge sharply by category:

• Node tokens: distributed over 10 years, with the emission amount halving every two years
• Team and investor tokens: 1-year cliff, then linear unlock over two years
• Airdrop and initial liquidity: fully unlocked at the token generation event (TGE)

The halving-every-two-years curve compresses new node supply over time rather than front-loading it. Meanwhile, 15% of total supply (airdrop plus liquidity) enters circulation at TGE with no vesting buffer — an immediate float factor that precedes any demand-side activation. The team's 1-year cliff delays insider liquidity, while the 2-year linear unlock limits the velocity of post-cliff selling.

Risk Assessment

Metrics to track post-TGE:

• Immediate float: 15% unlocked at launch creates instant circulating-supply pressure before any demand-side mechanism kicks in
• Insider unlock window: Team and investor tranches begin linear release in year 2, adding a second supply wave on top of ongoing node emissions
• Node sell pressure: If staking yields underperform market expectations, node operators may liquidate emissions to cover infrastructure costs, generating continuous sell pressure over a decade
• Concentrated utility: DGAI serves as node staking collateral, AI service payment rail, ecosystem reward distribution, and governance vote — concentration across four use cases amplifies volatility exposure if any single vertical underperforms
• Governance capture: With 50% of supply tied to nodes and 20% to insiders, voting power is structurally concentrated, limiting meaningful decentralization metrics post-distribution