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KGeN to Burn 10% of Token Supply in New AI Revenue-Linked Model

KGeN launches KGeN 2.0 framework tying revenue growth directly to permanent token supply reductions through automated token burns. The move aims to increase token value by connecting real business growth with circulating token scarcity.
Web3 data infrastructure provider KGeN is overhauling its tokenomics with a new framework that directly links its corporate revenue to token deflation. Under the newly launched KGeN 2.0 model, the project plans to immediately destroy roughly 22 million KGEN tokens. This move will wipe out approximately 10% of the asset's current circulating supply.

This initial reduction, dubbed the Genesis Burn, will not require any capital outlay from the company. Instead, KGeN is pulling these 22 million tokens from a pool of unclaimed airdrop allocations and unsold node distributions. By targeting these idle, ownerless assets, the team aims to tighten circulating supply without impacting its operational treasury.

The core of the KGeN 2.0 upgrade lies in its automated buyback-and-burn engine. KGeN plans to route a portion of the profits generated from its partnerships with artificial intelligence laboratories directly into the open market. Smart contracts will automatically purchase KGEN tokens and burn them within seconds of revenue recognition, establishing a direct link between commercial adoption and token scarcity.

To address the skepticism that often plagues off-chain revenue claims in Web3, KGeN plans to push its audited financial metrics directly on-chain. The company stated that platform revenue will undergo independent third-party audits before being published on the blockchain. This setup allows investors to verify the underlying business performance in real time rather than relying on periodic, discretionary corporate reports.

Management is setting ambitious targets for this new integration. Co-founder Manish Agarwal emphasized that token value must reflect tangible business growth, projecting that annualized recurring revenue from the AI division will scale to $50 million by December 2027. If these targets are met, the automated mechanism is expected to drive annual burn volumes to $10 million by the end of 2027. Traders should monitor the upcoming on-chain integration of these audited revenue feeds to verify if the buyback smart contracts execute as promised when the first AI partnership payments land.