Blue Wenguang: AI Era Chain Conversion Suffers Efficiency Loss; Greater Value Lies in Uncertainty Load Reconstruction

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At the 2026 ITValue Summit, Blue Wenguang highlighted that chain conversion in the AI era incurs efficiency losses, with greater value emerging from uncertainty load reconstruction. He emphasized the critical role of on-chain data and practical engineering in avoiding pitfalls. The cost of altcoins to monitor depends on TOKEN FACTORY efficiency and corporate restructuring. Value initially manifests in deterministic loads, but the true potential lies in AI-driven transformation of uncertainty loads.

Huo Xing Finance report, September 16: At the 2026 ITValue Summit Digital Value Annual Conference, Lan Wenguang, Vice President and CIO of Super Fusion Digital Technology Co., Ltd., stated that in the AI era, within the chain WATT → FLOPS → TOKEN① → Dynamic Multi-Model → TOKEN② → AGENT → VALUE, efficiency losses occur at each transformation stage, requiring practical business operations and engineering capabilities to avoid pitfalls; the cost investment in TOKEN will ultimately depend on two key pillars—efficiency conversion of the TOKEN FACTORY and the restructuring of enterprise production, operations, and decision-making. Value will first materialize in deterministic workloads (process application restructuring), but greater value lies in the AI-driven restructuring of uncertain workloads—tasks previously impossible becoming achievable due to AI capabilities. (2026 ITValue Summit Digital Value Annual Conference)

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