内容来源：https://www.geekwire.com/2025/inside-microsofts-new-experience-center-one-what-we-learned-at-the-edge-of-the-ai-frontier/

内容总结：

微软公司近期在其雷德蒙德总部新近启用的"一号体验中心"，向商业与科技决策者们展示了其对企业人工智能应用的未来愿景。这座四层建筑集简报中心、会议厅与科技展厅于一体，通过精心设计的沉浸式演示，向访客呈现人工智能在工业生产、金融建模及药物研发等领域的实际应用场景。

微软强调其战略重点并非提供标准化AI模型，而是为企业定制能够跨工具执行任务的智能代理系统。微软商业云与人工智能首席营销官阿莉莎·泰勒指出，这类"代理式AI"正成为前沿企业的关键竞争力。一项由微软委托IDC进行的研究显示，在7个业务职能中部署AI的企业可获得2.84倍投资回报，而部署迟缓的企业回报率仅为0.84倍。数据显示，88%的先行企业通过AI实现营收增长，而滞后企业该比例仅为23%。

现场演示揭示了三大趋势：在金融领域，微软与贝莱德合作开发的定制AI助手已集成至Aladdin投资平台，可将自然语言指令转换为专业编程语言；在制造业，梅赛德斯-奔驰通过数字孪生技术将故障诊断时间从数日压缩至15分钟；在医药研发领域，英硅智能借助AI将新药靶点发现周期从数月缩短至数日，其中一款肺病治疗药物已进入二期临床试验。

尽管演示经过精心编排，实际应用效果尚待观察，但这座仅限受邀访客进入的体验中心已接待多国政商代表团。其最具特色的沉浸式数字走廊能根据实时天气数据变换场景，为决策者提供审视技术前沿时的片刻宁静。

中文翻译：

【编者按】《变革先锋》是GeekWire推出的独立系列报道及2026年专题活动，由埃森哲赞助，深入探讨AI智能体崛起背后的人物、企业与创新思想。

华盛顿州雷德蒙德电——若将AI比作信仰，眼前这座建筑堪称圣殿。
在微软总部边缘，一片常青树林俯瞰比尔湖之处，新落成的四层建筑正成为商业与科技决策者的朝圣地。这座集简报中心、会议厅与科技展厅于一体的"一号体验中心"，通过流光溢彩的演示空间精心勾勒未来图景——AI管理工厂流水线、构建金融市场模型、加速新药研发的场景在此生动展现。

这仅是科技巨变中的缩影。当微软、谷歌、亚马逊等企业向数据中心、GPU及前沿模型投入千亿美元时，他们传递的共识是：AI并非泡沫，而是彻底重塑商业格局的持久变革。

正如新中心所揭示，微软的愿景不止于现成AI模型或普通聊天机器人，而是打造能代表员工跨工具、跨数据源完成任务的定制智能体系统。这一理念贯穿整个玻璃穹顶建筑，挑高中庭悬着空中花园，与东园区新改造的高管办公区遥相呼应。

中心重点展示了微软所谓的"前沿企业"——那些运用AI将业务推向行业极限的雄心勃勃的公司。微软商业云与AI首席营销官阿丽莎·泰勒受访时表示："智能体AI正迅速成为前沿企业的新定义篇章。"

潜台词清晰而紧迫：若不顺势而为，企业将在竞争与财务层面双双落后。微软委托IDC的最新研究揭示了大胆投入的机遇与畏缩不前的风险：在平均7个业务职能中整合AI的企业，投资回报率达2.84倍；而"落后者"的回报仅0.84倍——基本处于亏损状态。

这种分化同样体现在营收上：IDC研究显示88%的前沿企业通过AI实现收入增长，"落后者"中这一比例仅23%。当然，总有人要为这些耗资数十亿美元的AI超级工厂买单。

作为《变革先锋》系列第二站，GeekWire探访微软新设施，直击其未来愿景的呈现方式。以下是我们观摩演示的要点洞察：

这些绝非标准化方案。每个演示都是与重要客户共建的定制部署，展现AI工具如何精准解决特定商业难题。例如微软与贝莱德合作，在投资机构的Aladdin平台嵌入定制AI助手，帮助分析师高效处理海量客户与市场数据，既减少人工收集负担，又更早预警潜在风险。该系统经训练可将自然语言请求转换为贝莱德专属编程语言BQL。

深度集成趋势与IDC报告结论吻合：58%的"前沿企业"已依赖定制或微调方案而非通用模型，预计未来两年内将有70%企业转向定制工具，以更好处理专有数据与合规需求。泰勒指出："这正是低代码运动的延续——对开箱即用方案进行扩展与定制。"

OpenAI集成仍是微软客户的关键需求。拉夫·劳伦的"Ask Ralph"助手演示了如何解析购物者意图，从库存中推荐完整穿搭。与中心内多数场景相同，该体验基于Azure OpenAI服务运行。尽管微软与OpenAI近期续签并扩展合作，双方仍各自拓展行业伙伴，但这项合作始终是驱动商业需求的核心力量。

智能体团队正重塑工业工作模式。奔驰的数字孪生仿真堪称典范：虚拟工厂让工程师无需停产即可预判诊断故障。当生产效率警报触发，真实工厂中专家团队需耗费数日排查机械日志与传感器数据（甚至细至螺丝角度偏差），而在这里，管理者通过自然语言界面询问系统，即刻触发各司其职的AI智能体——数据提取、日志检索、语义解析协同工作，15分钟内生成故障成因与解决方案，将原本长达一周的工序极致压缩。

AI将科研周期从数月压缩至数日。英矽智能的演示显示，AI正颠覆药物研发时序："数字研究员"扫描海量生物医学数据锁定靶点，替代科学家数月的文献研读；云端化学模拟系统生成候选分子并排序，数日内完成传统实验室数月至数年的工作。该公司已通过该流程识别肺病靶点并设计作用分子，其中一款AI生成的化合物现已进入IIa期临床试验。

以上仅是微软一号体验中心的浮光掠影。参观途中我们瞥见其他知名品牌的展示（包括更多美国标志性企业），但并非所有企业都愿意公开项目细节。根据准入协议，我们仅披露已获公开授权的案例。

当然，这些演示均经过精心策划，此类系统在实际业务中的部署广度仍有待观察。该设施在功能上承接了微软长期使用的行政简报中心（现仍坐落于园区步行可达处），运营两个月来已接待多批商业客户与政要（本周包括卢森堡首相）。

中心仅限受邀者参观，不向公众开放，员工可申请访问。访客经环形车道抵达，入口铭牌刻着献给前董事长约翰·汤普森的题词——正是他主导的遴选委员会任命萨提亚·纳德拉为CEO。上层设私人简报室，二层配备完整咖啡厅，建筑内还包含拥有三个礼堂的会议中心。

但最独特的当属交互门户：离开展示区时，访客将穿越沉浸式数字廊道，虚拟墙壁呈现自然景致。当人们穿过隧道，运动传感器会捕捉行动轨迹，令墙幕上的数字树叶与粒子随之流转。背景音收录自雷德蒙德与萨马米什地区的自然之声（鸟鸣、风声、林涛），而视觉显示则通过天气API实现动态呼应——若外界正值阴雨（正如近日常态），隧道内的数字环境便会同步飘洒雨丝。

这处精心设计的禅意时刻，旨在让高管们在思索科技前沿之际，获得片刻宁定，重新聚焦内心。

英文来源：

[Editor’s Note: Agents of Transformation is an independent GeekWire series and 2026 event, underwritten by Accenture, exploring the people, companies, and ideas behind the rise of AI agents.]
REDMOND, Wash. — If AI were a religion, this would probably qualify as a cathedral.
On the edge of Microsoft’s headquarters, overlooking Lake Bill amid a stand of evergreens, a new four-story building has emerged as a destination for business and tech decision-makers.
Equal parts briefing center, conference hall, and technology showroom, Microsoft’s “Experience Center One” offers a curated glimpse of the future — guided tours through glowing demo rooms where AI manages factory lines, models financial markets, and helps design new drugs.
It’s part of a larger scene playing out across tech. As Microsoft, Google, Amazon and others pour billions into data centers, GPUs, and frontier models, they’re making the case that AI represents not a bubble but a business transformation that’s here to stay.
As the new center shows, Microsoft’s pitch isn’t just about off-the-shelf AI models or run-of-the-mill chatbots — it’s about custom agentic systems that act on behalf of workers to complete tasks across a variety of tools and data sources.
That idea runs through nearly everything inside the facility, a glass-encased building featuring an elevated garden in a soaring open-air atrium, just across from Microsoft’s new executive offices on its revamped East Campus.
Experience Center One highlights what Microsoft calls “frontier firms” — ambitious companies using AI to push their operations to the edge of what’s possible in their industries.
Agentic AI is “fast becoming the next defining chapter of a frontier organization,” said Alysa Taylor, Microsoft chief marketing officer for Commercial Cloud and AI, in an interview.
The underlying message is clear: get on board or risk falling behind, both competitively and financially. A new IDC study, commissioned by Microsoft, finds both opportunity in spending big and risk in not being bold enough. Companies integrating AI across an average of seven business functions are realizing a return on investment of 2.84 times, it says. In contrast, “laggards” are seeing returns of 0.84 times — basically losing money on their initial spend.
The divide extends to revenue, too: 88% of frontier firms report top-line growth from their AI initiatives, compared to just 23% of “laggards,” according to the IDC study.
And hey, somebody has to foot the bill for those multi-billion-dollar AI superfactories.
For this second installment in our Agents of Transformation series, GeekWire visited the new Microsoft facility to see first-hand how the company is presenting its vision of the future. Here are some of the takeaways from the sampling of demos we saw.
These are not off-the-shelf solutions. Each demo reflects a custom deployment built with a major customer, showing how AI tools can be tailored to specific business problems.
For example, one shows how Microsoft has worked with BlackRock to integrate a custom AI copilot inside the investment firm’s Aladdin platform to help analysts process large volumes of client and market data more efficiently. It helps reduce the manual work of gathering data and points analysts to potential risks sooner than they might have spotted it on their own.
As another example of the customization, the system is trained to translate natural language requests into “BQL,” BlackRock’s proprietary programming language.
This deep level of integration tracks with the findings in the IDC report. It found that 58% of “frontier firms” are already relying on custom-built or fine-tuned solutions rather than generic models. This is expected to accelerate, with 70% planning to move toward customized tools in the next two years to better handle their proprietary data and compliance needs.
“That’s a trend that we’ve seen even in the low-code movement — taking an out-of-the-box solution, extending it, and customizing it,” said Taylor, the Microsoft commercial CMO.
OpenAI integration remains critical for many Microsoft customers. Another demo focused on Microsoft’s work with Ralph Lauren, showing how the “Ask Ralph” assistant interprets a shopper’s intent and recommends full outfits from available inventory.
Like many of the scenarios inside Experience Center One, this experience runs on Microsoft’s Azure OpenAI Service. It’s a reminder that Microsoft’s partnership with OpenAI — renewed and expanded in recent months — is still a key driver of commercial demand for the tech giant, even as both companies increasingly work with other industry partners.
Teams of agents are starting to redefine industrial work. The clearest example of this was a digital twin simulation from Mercedes-Benz — essentially a virtual version of a factory that lets engineers anticipate and diagnose issues without stopping real production.
The demo begins with a production alert triggered by a drop in efficiency. In a real plant, tracking down the cause (something as small as a slight angle change in a screw) might take a team of specialists days of sorting through machine logs and sensor data.
In Microsoft’s version, a human manager simply asks the system to diagnose what’s causing the problem, through a natural language interface. That question triggers a set of AI agents, each with a specific role: one pulls the right data, another retrieves machine logs, and a third interprets what it all means in plain language.
Within about 15 minutes, the system produces a clear explanation of the likely cause and possible fixes, shortcutting a task that could otherwise stretch across most of a week.
AI is compressing weeks or months of scientific research into days or hours. A demo focusing on Insilico Medicine’s work with Microsoft showed how AI is starting to significantly collapse the timeline for drug discovery.
The process begins with a “digital researcher” that scans huge amounts of public biomedical data to surface promising disease targets. It’s the kind of work that would otherwise take teams of scientists months of reading and analysis.
A second system runs simulated chemistry experiments in the cloud, generating and ranking potential molecules that might bind to those targets. These simulations can be completed in a matter of days, or less, replacing weeks or even months of traditional laboratory work.
The demo follows a real example: Insilico used this workflow to identify a potential target for a lung disease and design molecules that could affect it. The company then synthesized dozens of these AI-generated compounds in the lab. One of them is now in Phase 2a human trials.
That’s a small sampling of the demos inside Microsoft’s Experience Center One. During our tour, we walked past displays for other major brands, including more iconic U.S. companies, but not everyone was on board to have the media spotlight cast upon their projects. As a condition of access, we agreed to stick to the examples cleared for public release.
Of course, the demos are carefully curated, and it remains to be seen how broadly companies will deploy these kinds of systems in their real-world operations.
In many ways, the facility is a successor to Microsoft’s longtime Executive Briefing Center and conference facility, which remains in use a short walk away on the Redmond campus.
Experience Center One has been in operation for a couple months, hosting delegations of business clients and political dignitaries, including the prime minister of Luxembourg this week.
It’s closed to the public, invite-only. Employees can request access to visit.
Visitors arrive via a circular drive, with a plaque at the entrance dedicating the building to John Thompson, the former Microsoft board chair who led the search process that resulted in Satya Nadella’s appointment as CEO. There are private briefing suites on the upper floors, and a full cafe on the second. The building also includes a conference center with three auditoriums.
But perhaps the most distinct feature is the interactive portal. As they leave the demos, visitors walk through an immersive digital corridor with scenes of nature on the virtual walls.
Walking through the tunnel, motion sensors track their movement, causing digital leaves and particles on the wall-sized screens to swirl and flow in their wake.
The audio consists of nature sounds (birds, wind, and rustling trees) that were recorded locally in the Redmond and Sammamish area. And in a fittingly Pacific Northwest touch, the visual display is connected to a weather API. If it has been raining outside (as it often has been recently) the digital environment inside the tunnel turns rainy, too.
It’s meant to be a final moment of grounding — a programmed moment of Zen to help executives decompress and center themselves as they contemplate the frontier ahead.