人工智能行业：企业人工智能的现状

过去12个⽉中，每个组织的平均推理令牌消耗量增⻓了约320倍，这表明更智能的模型正被系统地整合到不断扩展的产品和服务中。People aren’t just using AI more often. They are using it for increasinglysophisticated tasks. Enterprises are expanding both theextensivemargin—more workers adopting AI—and theintensive margin—existing users going deeper.⼈们不仅更频繁地使⽤AI，还将其应⽤于⽇益复杂的任务。企业正在扩⼤两个维度：⼴度上，更多员⼯开始采⽤AI；深度上，现有⽤户的使⽤程度不断加深。Growth is rapid across industriesand geographies各⾏业和地区的增⻓都⼗分迅速 AI is gaining traction across every sector, but we’re seeing especiallystrong momentum in:⼈⼯智能正在各个领域获得⼴泛应⽤，但我们尤其看到以下领域展现出强劲的发展势头：Technology, healthcare, and manufacturing, which are thefastest growing sectors.技术、医疗保健和制造业，这些是增⻓最快的⾏业。 Globally, the fastest-growing business customer bases includeAustralia, Brazil, the Netherlands, and France, each exceeding140% year-over-year growth.在全球范围内，增⻓最快的企业客户群包括澳⼤利亚、巴⻄、荷兰和法国，每个国家的年增⻓率均超过140%。International API customer growth has exceeded 70% over thelast six months, with Japan having the largest number of corporateAPI customers outside of the U.S.过去六个⽉，国际API客户增⻓超过70%，其中⽇本是美国以外企业API客户数量最多的国家。Workers report measurable value from using AI员⼯报告称使⽤AI带来了可衡量的价值Across surveyed enterprises, 75% of workers report that using AIat work has improved either the speed or quality of their output.Workers report saving 40-60 minutes per day, with heavy usersreporting more than 10 hours per week. Workers report AI iscontributing to value across departments:在接受调查的企业中，75%的员⼯表示，在⼯作中使⽤⼈⼯智能提⾼了他们⼯作的速度或质量。员⼯报告每天节省40-60分钟，重度⽤户每周节省超过10⼩时。员⼯表示，⼈⼯智能正在为各部⻔创造价值：87% of IT workers report faster IT issue resolution.87%的IT⼯作者报告IT问题解决速度加快。 75% of HR professionals report improved employee engagement.75%的⼈⼒资源专业⼈⼠报告员⼯参与度有所提升。73% of engineers report faster code delivery.73%的⼯程师报告代码交付速度更快。Crucially, AI is not just helping people do the same work faster—it is enabling people to do new kinds of work.关键的是，⼈⼯智能不仅帮助⼈们更快地完成相同的⼯作——它还能让⼈们从事新型的⼯作。Coding-related messages increased 36% for workers outsideof technical functions.⾮技术职能员⼯的编码相关消息增加了36%。75% of users report being able to complete new tasks theypreviously could not perform.75%的⽤户报告称，他们能够完成之前⽆法执⾏的新任务。AI reduces the gap between intent and execution. Individualscan translate ideas into concrete outputs, regardless of theirspecialization or technical expertise.AI缩⼩了意图与执⾏之间的差距。⽆论个⼈的专业领域或技术专⻓如何，都能将想法转化为具体的成果。Frontier users and organizations arepulling ahead前沿⽤户和组织正在领先⼀步Our data shows a widening gap between “frontier” workers andfirms, and the median. Frontier workers (95th percentile) send 6×more messagesthan the median employee and engage more intensivelyacross advanced capabilities.前沿⼯作者（95百分位）发送的消息数量是普通员⼯的6倍，并且在⾼级功能上的使⽤更为深⼊。Frontier firms send 2×more messages per seat and showdeeper integration of AI across teams.前沿企业每个席位发送的消息数量是其他企业的两倍，并在团队间展现出更深层次的⼈⼯智能整合。These patterns are particularly meaningful given the findingthat time savings increase as users consume more intelligence The AI landscape is evolving rapidly; OpenAI releases a new featureor capability roughly every three days. The primary constraintsfor organizations are no longer model performance or tooling,but rather organizational readiness and implementation.⼈⼯智能领域正在快速发展；OpenAI⼤约每三天就会发布⼀项新功能或能⼒。对于组织⽽⾔，主要限制已不再是模型性能或⼯具，⽽是组织的准备情况和实施能⼒。Looking ahead: AI reshaping themodern enterprise展望未来：AI重塑现代企业is designed to do more than describehow AI adoption is changing, it’s meant to help organizations planhow to deploy more e#ectively. Based on real-world usage data,the report benchmarks how leading enterprises are deploying AItoday, where they’re realizing value, and how deeper integrationcompounds impact over time.《企业AI现状报告》不仅旨在描述AI应⽤如何变化，更意在帮助各组织规划如何更有效地部署AI。基于实际使⽤数据，本报告为当今领先企业如何部署AI、在何处实现价值，以及更深层次的整合如何随时间累积影响提供了基准。We encourage executives, operators, and builders to read thereport and engage with the underlying insights. We also welcomefeedback on the questions it surfaces, and those still to come, as wecontinue to study how organizations move from experimentationto durable, high-impact AI deployment. This is an ongoing e#ort,and we’ll keep sharing what we learn as the frontier evolves.The state of enterprise AI report 来可能出现的问题提供反馈，因为我们正在持续研究组织如何从实验阶段过渡到持久、⾼影响⼒的AI部署。这是⼀项持续的努⼒，随着前沿技术的发展，我们将继续分享我们的学习成果。If you’d like to explore the full findings or learn how to bring AIinto your organization responsibly,如果您想探索完整的研究结果，或了解如何负责任地将⼈⼯智能引⼊您的组织，我们很乐意与您联系we’d love to connect