Gartner 高挺：机器人产业迈入 GPT-2 发展周期，企业落地切忌盲目布局人形机器人
Quick Answer
Gartner's Gao Ting warns that the robotics industry is entering a GPT-2 phase, with only 1.64% of companies achieving actual robot deployment.
Quick Take
He advises firms to avoid blindly purchasing humanoid robots and instead focus on specific operational needs, as the market is currently misaligned with the hype surrounding humanoid robotics.
Key Points
- Only 1.64% of companies have successfully deployed robots, with over 98% still exploring solutions.
- Humanoid robots have a deployment ratio of 1:60, indicating significant challenges in practical application.
- Gartner predicts a labor gap of over 10 million in manufacturing by 2030, driving demand for robotics.
- Current mainstream technology is the VLA model, enhancing robots' environment recognition and task execution.
- Gao recommends starting with high-value, low-complexity scenarios for robotic implementation.
Source Excerpt
6 月 1 日，Gartner 研究副总裁高挺围绕 2026 全球机器人产业发展前景开展专题行业分享，雷峰网参与，在分享中，高挺立足全球用工缺口、技术迭代节奏与产业落地现状，研判当前全球机器人正处在商业化落地前夜，资本市场热度与人形机器人实际产业化程度严重脱节。 高挺提醒制造、服务等领域企业，摒弃跟风采购人形机器人的误区，坚持先锁定落地场景、再按需选型的落地思路。 从产业宏观背景来看，世界经济论坛预测，2030 年全球制造业用工缺口将突破 1000 万，全球老龄化、少子化加速催生机器人刚需，机器人作为物理世界生产力，长期市场成长空间广阔。 资本端，全球机器人赛道投资火热，海外 Figure AI 一年时间估值暴涨 15 倍，人形机器人项目备受资本追捧，但产业落地数据却表现惨淡。 高挺介绍，Gartner 调研数据显示，行业里仅 1. 64% 的企业实现机器人实际投产落地，超 98% 仍处于方案探索阶段，人形机器人真实落地比例仅 1:60。 即便是行业标杆特斯拉 Optimus，也尚未在厂区承担有效生产工作，此前马斯克公开承认其人形机器人仍处于研发测试阶段，量产落地进度不及此前规划。
在技术发展周期上，高挺提出标志性判断：当前机器人行业发展对标大模型的 GPT-2 阶段，底层技术框架已经相对成熟，预计未来 1-2 年迈向 GPT-3 阶段。 现阶段产业落地的主流技术方案是 VLA（视觉 - 语言 - 动作）模型，依托大模型自带的常识推理能力，解决了传统机器人泛化能力弱的痛点，实现机器人识环境、听指令、自主完成动作。 …
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