随著人工智慧成本攀升且投资回报仍不明朗，大型科技公司正大举投资「前线部署工程师」(forward-deployed engineer, FDE) 组织，以协助企业客户从AI中实现价值。Amazon Web Services宣布投入10亿美元（约新台币310亿元）建立专属FDE部门，预计招募数千名工程师；Microsoft则承诺投资25亿美元（约新台币775亿元），并调配约6,000名员工投入类似计划。此举紧随领先AI新创公司的先行布局：OpenAI以40亿美元初始投资成立其部署公司，估值达100亿美元；Anthropic的FDE组织则获得Blackstone与Goldman Sachs Group等私募股权合作伙伴合计15亿美元的投资。
企业客户代表著AI最大的营收机会，然而采用热情与可衡量成果之间仍存在显著落差。根据KPMG近期报告，79%的企业领袖将AI列为关键投资领域，但仅有7%的组织报告其AI支出产生了实质回报。这一悬殊差距——意愿与实现价值之间约为11比1的比率——凸显了科技供应商面临的压力，必须推动客户从单纯实验迈向实用且个人化的AI解决方案。AWS前沿AI工程与服务副总裁Francessca Vasquez强调，必须证明投资回报率，而非仅是「将一切都FDE化」，尤其是在代理式AI日趋成熟的当下。
随著多家公司同时扩展FDE营运规模，AI工程人才的竞争态势正在加剧。Microsoft商业业务执行长Judson Althoff指出，不断上升的AI成本令客户忧心，该公司目标是透过以开源或较小型模型替代昂贵模型来降低支出。AWS则将其前线部署工程师定位为「模型中立」，能够透过其Bedrock平台使用自有模型或前沿模型构建解决方案。随著Google、Salesforce及其他公司亦在招聘数百乃至数千名类似职位，兼具销售能力与技术专长的人才需求正在整个产业中急速攀升。
As AI costs rise and returns remain uncertain, major technology companies are investing heavily in "forward-deployed engineer" (FDE) organizations to help enterprise customers realize value from AI. Amazon Web Services announced a $1 billion investment to build a dedicated FDE unit with thousands of engineers, while Microsoft committed $2.5 billion and approximately 6,000 workers to a similar effort. These moves follow earlier initiatives by leading AI startups: OpenAI launched its Deployment Company with $4 billion in initial investment, valued at $10 billion, and Anthropic's FDE organization attracted $1.5 billion from private equity partners including Blackstone and Goldman Sachs Group.
Enterprise customers represent AI's largest revenue opportunity, yet a significant gap persists between adoption enthusiasm and measurable outcomes. According to a recent KPMG report, 79% of business leaders identify AI as a key investment area, but only 7% of organizations have reported tangible returns on their AI spending. This stark disparity — a roughly 11-to-1 ratio between intent and realized value — underscores the pressure on technology providers to move customers beyond experimentation toward practical, personalized AI solutions. Francessca Vasquez, vice president of frontier AI engineering and services at AWS, emphasized the need to prove return on investment rather than merely "FDE-washing everything," particularly as agentic AI grows more sophisticated.
The competitive landscape for AI engineering talent is intensifying as multiple companies scale their FDE operations simultaneously. Microsoft's Judson Althoff, chief executive officer of commercial business, noted that rising AI costs concern customers, and the company aims to reduce spending by substituting expensive models with open-source or smaller alternatives. AWS positions its forward-deployed engineers as "model agnostic," capable of building solutions using proprietary or frontier models through its Bedrock platform. With Google, Salesforce, and other firms hiring hundreds to thousands for similar roles, the demand for sales-savvy technical talent is surging across the industry.