During an interview with Decrypt at Token2049 in Singapore on Wednesday, Eliza Labs founder Shaw Walters pushed back on the hype surrounding autonomous, profit-seeking AI traders.<\/p>\n
Instead, he argued that the near-term value lies in structuring signals and speeding up execution rather than handing agents a treasury.<\/p>\n
\u201cYou probably do not want to give an AI agent a bunch of money and expect it to make you more,\u201d Walters said, adding that current agents work best as interfaces to quantitative tools and as ingestion layers for social data.\u00a0<\/p>\n
In January, Eliza Labs released the ElizaOS, an open-source platform on the\u00a0Solana<\/a>\u00a0blockchain designed for building and managing AI agents and simulations.<\/p>\n Eliza\u2019s approach includes a \u201cmarketplace of trust\u201d that converts loose shill posts into paper trades to track results and build credibility scores. <\/p>\n \u201cWe can identify who\u2019s actually good at calling and who\u2019s trying to scam,\u201d Walters said.<\/p>\n Walters also said agents embedded in Telegram groups can front-run sentiment before it surfaces on X, using simple rules such as buying small amounts within minutes of a major KOL, or key opinion leader, post.\u00a0<\/p>\n Eliza is also piloting an agent-run OTC desk that allows users to negotiate token purchases with bots within predefined limits.\u00a0<\/p>\n \u201cIf you can scam the agent, good for you, you had fun, but there are guardrails,\u201d he said, pointing to caps enforced by smart contracts.<\/p>\n