OpenAI’s acquisition of io, founded by Jony Ive, signals its transition from a pure software company to one integrating software and hardware. This isn’t just an inevitable trend in the age of AI; it also reflects the critical importance of a two-sided market strategy. This shift mirrors Microsoft’s past strategic adjustments, with the core logic being to capture user data, create differentiated experiences, and build moats in a highly competitive market.

OpenAI’s Strategic Move: Extending from AI Software to AI Devices

On May 21st, OpenAI CEO Sam Altman announced the acquisition of io, a startup founded by Apple’s former design chief Jony Ive. The goal is to collaborate on building new devices for the AI era. This move explicitly declares that OpenAI will no longer be limited to software services but will extend its reach into the hardware domain, becoming a software-hardware integrated company. This is not just a natural evolution of technology but also a crucial step to gain an absolute advantage in the ultimate battle for AI. Previously, OpenAI led the industry with its excellent AI large language model technology, and its closed system performed exceptionally in terms of efficiency and performance. However, like the challenges Microsoft faced in the past, a closed system, while offering advantages, also carries hidden risks. In the increasingly competitive AI market, especially in the Edge AI Device sector, competition from open AI systems is emerging. If OpenAI remains solely at the software level, it might be constrained by the hardware ecosystem, making it difficult to fully unleash the potential of its AI technology.

Learning from Microsoft’s History: The Journey from Software to Software-Hardware Transformation

Looking back at Microsoft’s operational difficulties in 2012-2013, its biggest challenge came from competitors’ success in software and hardware integration. Google achieved dominance in the consumer market by combining Android software with mobile devices, while Apple gained immense success through the perfect integration of its closed iOS system with hardware devices. Steve Ballmer, then Microsoft’s CEO, clearly stated in a letter to shareholders that hardware and online services were the businesses that would lead Microsoft into the future, and that the company would emulate its long-time competitor, Apple. This strategic shift led Microsoft to launch the popular Xbox game console and its own-brand Surface tablets, hinting at the possibility of producing its own phones in the future. Ballmer wrote at the time: “At some point in the future we’ll offer a specific type of device for a specific purpose, as we have with Xbox and Surface." Indeed, over the past few years, Microsoft has continued to pursue a software-hardware strategy, focusing on the commercial market, with its Copilot actively integrating AI PC hardware. This development strategy not only achieved tight integration of high-quality software and hardware but also leveraged the advantages of AI, indicating extremely high future growth potential. Microsoft’s case fully illustrates that for software giants, when the market competitive landscape shifts, software-hardware integration is an inevitable choice to secure their market position and future growth.

Two-Sided Market Strategy: The Key Driver for Tech Company Success

In 2012, during my specialized course on high-tech industry operation and management, my short paper on Microsoft’s business strategy transformation cited David S. Evans and Richard Schmalensee’s book, Catalyst Code: The Strategies Behind the World’s Most Dynamic Companies. This book deeply discusses the two-sided market business strategy, which has become one of the most effective tools for today’s tech companies. A two-sided market refers to a platform that connects two or more distinct groups of customers, where these groups are interdependent, and the platform’s value increases with the growth of users on each side. For a software company, extending into hardware essentially means building a broader and more stable two-sided market for its core software services. OpenAI’s move into hardware is not solely about hardware profits. Its deeper objectives are:

• To control the first-hand data source: In the training of AI large language models, raw data is becoming increasingly valuable. When consumers use its devices to input or create data, companies that control both software and hardware will have an absolute advantage, directly acquiring first-hand, high-quality user data. This will not only significantly improve the efficiency and accuracy of AI model training but also avoid the dilemma of being restricted by other companies in obtaining data. This data will be a critical asset for OpenAI to continuously optimize its AI services and maintain its leading position.
• To create a differentiated experience: Deep integration of software and hardware can provide users with a seamless and optimized experience. When AI technology is combined with hardware specifically designed for it, its performance, responsiveness, and user interface can be maximized. This unique, end-to-end experience is difficult for companies that only provide software services to replicate. This will be an important means for OpenAI to build a moat in the fiercely competitive AI market.
• To build an ecosystem: Software and hardware integration is the foundation for building a complete ecosystem. Similar to Apple’s iOS and hardware, or Microsoft’s Windows and Surface/Xbox, a strong ecosystem can lock in users, increase user switching costs, and thus enhance user loyalty. For OpenAI, this means building a rich ecosystem of various applications and services around its AI services, further solidifying its market position.
• To expand revenue models: While hardware may not be its primary source of profit, it provides OpenAI with diversified revenue models. In addition to software subscription fees, future revenue could come from hardware sales, in-app purchases, or specific services enabled by the hardware. This will significantly increase the company’s revenue flexibility and reduce reliance on a single software service.

An Inevitable Choice: Software-Hardware Integration for the AI Era

Considering Microsoft’s historical experience and the current market landscape faced by OpenAI, it can be said that for companies starting as software providers, developing hardware, while perhaps not their primary profit-making business, is an essential move from a two-sided market strategy perspective. The underlying purpose of OpenAI’s acquisition of a hardware design company is precisely to control data, optimize experience, build an ecosystem, and ultimately solidify its leading position in the AI era. As training data becomes scarcer and more valuable, controlling first-party data pipelines becomes critical. When users interact directly through a company’s own device, their input, preferences, and context enrich model performance—creating a feedback loop competitors can’t access. Without hardware, software companies rely on third-party platforms for this data—and that’s a growing strategic risk. In the future, with the widespread adoption and deeper application of AI technology, tight integration of software and hardware will become the critical lifeline for tech companies to survive and thrive. Only by perfectly blending software intelligence with hardware carriers can the full potential of AI be truly unleashed, bringing unprecedented value to users.

參考文獻

Ballmer, S. (2012). Letter to Shareholders. Microsoft Annual Report.

Evans, D. S., & Schmalensee, R. (2007). Catalyst Code: The Strategies Behind the World’s Most Dynamic Companies. Harvard Business Review Press.

OpenAI (2024). “OpenAI collaborates with Jony Ive’s io to build the next generation AI hardware device." [新聞稿與媒體報導]

軟體巨頭轉型-The Cases of OpenAI：軟硬體整合的策略必然與雙邊市場的深層意涵

OpenAI 收購 Jony Ive 創立的 io，預示著其將從單純的軟體公司轉型為軟硬體結合的企業，這不僅是人工智慧時代的必然趨勢，更深層次地反映出雙邊市場策略的關鍵性。這項轉變，與過去微軟所經歷的策略調整有著異曲同工之妙，其背後的核心邏輯在於掌握用戶數據、打造差異化體驗，並在競爭激烈的市場中建立護城河。

OpenAI 的戰略佈局：從 AI 軟體到 AI 裝置的延伸

5月21日，OpenAI 執行長 Sam Altman 宣布收購由蘋果前設計長 Jony Ive 創立的新創公司 io，目標是攜手為 AI 時代打造全新裝置。這項舉動明確宣告 OpenAI 將不再局限於軟體服務，而是將觸角延伸至硬體領域，邁向軟硬體結合的公司。這不僅是技術發展的自然演進，更是為了在人工智慧的終局之戰中取得絕對優勢。 過去，OpenAI 以其卓越的 AI 大語言模型技術引領產業發展，其封閉系統在效率與性能上表現出色。然而，如同過去的微軟所面臨的挑戰，封閉系統在帶來優勢的同時也伴隨著隱憂。在競爭日益激烈的 AI 市場，尤其是 Edge AI Device 領域，開放式 AI 系統的競爭正逐漸浮現。如果 OpenAI 僅停留在軟體層面，將可能受制於硬體生態系統的限制，難以完全發揮其 AI 技術的潛力。

微軟的歷史借鑒：從軟體到軟硬體的轉型之路

回顧微軟在 2012-2013 年面臨的營業困境，其最大的挑戰正來自於競爭對手在軟硬體整合方面的成功。Google 憑藉 Android 軟體與手機裝置的結合，在消費市場取得主導地位；而 Apple 公司則透過 iOS 封閉系統與硬體裝置的完美整合，獲得了巨大的成功。時任微軟執行長 Steve Ballmer 在致股東的一封信中明確指出，硬體和線上服務是引領微軟走向未來的業務，並將借鑒長期競爭對手蘋果的模式。 這項策略轉變促使微軟推出了暢銷的 Xbox 遊戲機和自有品牌平板電腦 Surface，並暗示未來可能自行生產手機。Ballmer 當時寫道：「將來某個時候我們會生產用於特定目的的特定設備，就如我們在 Xbox 和 Surface 等產品上採取的路線一樣。」事實證明，過去幾年微軟確實持續推動軟硬體策略，並將重心放在商業市場，其 Copilot 也積極整合 AI PC 硬體。這種發展策略不僅實現了高品質軟體和硬體的緊密結合，更結合了 AI 的優勢，預示著其未來成長性極高。 微軟的案例充分說明，對於軟體巨頭而言，當市場競爭格局轉變，軟硬體整合是確保其市場地位和未來成長的必然選擇。

雙邊市場策略：科技公司成功的關鍵驅動力

在 2012 年研修高科技產業經營管理專題課程時，我針對微軟商業策略轉變的短篇論文中，曾引用戴維. S. 埃文斯（David S. Evans）和理查德. 司馬蘭西（Richard Schmalensee）的著作《催化劑代碼：世界最具活力公司背後的策略》（Catalyst Code: The The Strategies Behind the World’s Most Dynamic Companies），該書深入探討了**雙邊市場（Two-sided Market）**的商業策略。在當今科技化公司中，雙邊市場已成為最具效益的工具之一。 雙邊市場是指一個平台連接兩組或多組不同的客戶群體，這些群體之間存在相互依賴關係，平台的價值隨著每一邊用戶數量的增加而增加。對於軟體公司而言，將觸角延伸至硬體，實質上就是在為其核心軟體服務建立一個更廣闊、更穩固的雙邊市場。 OpenAI 發展硬體，其背後的核心目的並非僅是為了硬體本身的利潤。更深層次的目的在於：

• 掌握第一手數據來源： 在 AI 大語言模型的訓練當中，原始數據越來越珍貴。當消費者使用其裝置輸入資料或創作資料時，掌握軟硬體的公司將擁有絕對的優勢，能夠直接獲取第一手、高品質的用戶數據。這不僅能大幅提升 AI 模型訓練的效率和精準度，也能避開被其他公司限制取得數據的困境。這些數據將成為 OpenAI 持續優化其 AI 服務，並保持領先地位的關鍵資產。
• 創造差異化體驗： 軟硬體的深度整合，可以為用戶提供無縫且優化的體驗。當 AI 技術與專為其設計的硬體結合時，其性能、響應速度和用戶介面都能達到最佳化。這種獨特的、端到端的體驗是單純提供軟體服務的公司難以複製的。這將成為 OpenAI 在競爭激烈的 AI 市場中建立護城河的重要手段。
• 建立生態系統： 軟硬體結合是建立完整生態系統的基礎。如同蘋果的 iOS 和硬體、微軟的 Windows 和 Surface/Xbox，強大的生態系統能夠鎖定用戶，增加用戶轉換成本，進而提升用戶忠誠度。這對於 OpenAI 來說，意味著能夠在其 AI 服務周邊，建立一個由各種應用和服務組成的豐富生態，進一步鞏固其市場地位。
• 拓展獲利模式： 雖然硬體可能不是其主要獲利來源，但它為 OpenAI 提供了多元的獲利模式。除了軟體訂閱費用，未來還可能透過硬體銷售、應用程式內購、或者透過硬體實現的特定服務收費。這將大大增加公司的營收彈性，並降低對單一軟體服務的依賴。

必然的選擇：邁向 AI 時代的軟硬體結合

綜合微軟的歷史經驗和當前 OpenAI 所面臨的市場格局，可以說，從軟體起家的公司開發硬體，或許不是其主要想要獲利的商業領域，但從雙邊市場的策略來看，它是必然要有所掌握的。OpenAI 現在所併購的硬體設計公司背後的目的，正是為了掌握數據、優化體驗、建立生態，並最終鞏固其在 AI 時代的領導地位。 隨著訓練資料變得越來越稀缺和更有價值，控制第一方資料管道變得至關重要。 當用戶透過公司自己的裝置直接互動時，他們的輸入、偏好和上下文會豐富模型效能——創造一個競爭對手無法訪問的反饋迴路。 如果沒有硬體，軟體公司就依賴第三方平臺來獲取這些資料——這是一個日益增長的戰略風險。 未來，隨著 AI 技術的普及和深入應用，軟硬體的高度整合將成為科技公司生存和發展的關鍵命脈。只有將軟體智慧與硬體載體完美融合，才能真正釋放 AI 的潛力，為用戶帶來前所未有的價值。