TL;DR
- Wilder World just made AI agents the new economy of its metaverse
- The $WILD token just got a massive upgrade with AI-driven burns
- Why Wilder World’s AI-first move changes everything for metaverse investors
Wilder World announced an official shift to an “AI‑first” strategy on February 24, 2026, rearchitecting its metaverse around autonomous AI agents and on‑chain tooling, according to industry coverage from PlayToEarn, eGamers.io and NFT Playgrounds. The move aims to make AI agents central economic actors and expand utility for the native $WILD token, a material development for traders, treasuries and institutional builders exposed to metaverse assets.
The pivot bundles an architectural overhaul, new open‑source on‑chain products slated for release within 30–60 days, and tokenomics changes designed to introduce recurring burns tied to in‑game revenue, according to reporting and the project’s public roadmap.
What the AI‑first strategy changes
- AI agents as economic actors — Autonomous agents will manage roles such as resource extraction, DAO analytics and onboarding, creating on‑chain demand for $WILD and new utility sinks, according to eGamers.io.
- Open‑source, on‑chain product suite — A raft of fully open‑source tools (SDKs, APIs, 3D tooling, generative AI and smart‑contract templates) is scheduled to ship in the next 30–60 days to accelerate developer participation, according to PlayToEarn.
- Architectural rework — Wilder World is building a modular “Simulation OS” and a custom Z Chain intended to support high throughput: the project targets over 100.000 TPS with sub‑400 ms block times to sustain agent‑driven interactions, with Unreal Engine 5 for visuals and integrations spanning Solana and Ethereum PoS.
- Tokenomics and governance — The Metropolis upgrades will introduce revenue‑driven pack sales that create recurring $WILD burns and aim to make supply deflationary while integrating ZERO ID (ZID) for sovereign identity and decentralized governance.
Implications for markets, treasuries and risk management
The elevation of AI agents from tooling to economic participants reshapes expected on‑chain flows. For traders and market makers, agent‑driven activity could increase on‑chain volume and order flow volatility as agents execute repetitive or optimized tasks.
Treasuries holding $WILD will need to model potential demand from agent operations alongside the new burn mechanics; the announced recurring burn from pack revenue is designed to reduce circulating supply but timing and magnitude will depend on adoption and pack sales.
Operationally, the project’s emphasis on encrypted, isolated agent environments aims to address custody and privacy concerns. Still, the introduction of programmable autonomous actors raises security vectors for DAOs and custodians. Gartner’s projection that by 2026 a large share of enterprise workflows will involve autonomous agents highlights the wider industry exposure to agent risk, a point raised in reporting on Wilder World’s strategy.
Project lead n3o framed the effort as foundational rather than incremental: “building core AI systems from scratch to lead the AI revolution,” according to PlayToEarn. That approach increases technical risk and execution complexity; the roadmap requires substantial engineering delivery to make agentic behaviours reliable, auditable and monetisable.
For participants sizing positions, the near‑term catalyst is the open‑source, on‑chain product suite due within 30–60 days of the February 24, 2026 announcement and the Metropolis upgrades that introduce recurring burns. Those events will provide the first observable data on agent adoption, in‑game revenue and their effect on $WILD flows — critical inputs for traders, protocol treasuries and institutional allocators assessing exposure to the project.
