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中文(ZH) Token贵只因你喂给模型的垃圾太多了丨@亚马逊王晓野AIGC2026

AWS Exec: Enterprise AI value lags despite widespread deployment

Amazon Web Services' Director of Product and Technology, Wang Xiaoye, highlighted that while 87% of enterprises claim to have deployed AI, only 10% are truly deriving value from it. He emphasized that the complexity of running thousands of AI agents reliably in a production environment far exceeds that of personal demos. Wang also pointed out that the high cost of tokens is often due to excessive or irrelevant data input, rather than the per-token price itself, and stressed the importance of the surrounding infrastructure (Harness) beyond just the core model. AI

IMPACT Highlights the gap between AI deployment and value realization, stressing infrastructure and agent management as key challenges for operators.

RANK_REASON This is a commentary on the state of enterprise AI adoption and challenges, featuring insights from an industry executive.

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  1. 量子位 (QbitAI) TIER_1 中文(ZH) · 梦晨 ·

    Tokens are expensive because you feed the model too much garbage | @Amazon Wang Xiaoye AIGC2026

    Demo从来都不难做,难的是让它在企业生产环境里真正跑起来