Microsoft 임원은 AI 에이전트가 직원과 마찬가지로 라이선스를 구매해야 한다고 제안합니다.
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#discount
요약
마이크로소프트의 라제스 자 임원은 기업 내 AI 에이전트가 독자적인 로그인과 계정을 갖는 새로운 사용자가 되므로, 소프트웨어 라이선스 좌석 매출이 오히려 확대될 수 있다고 주장했습니다. 이는 AI로 인해 기존 좌석 기반 가격 모델이 붕괴될 것이라는 투자자들의 우려를 반감하는 제안으로, AI 에이전트가 사람보다 많아질 경우 매출 증대 기회가 된다는 논리입니다. 반면 컨설팅 업체 파트너는 AI가 사람 대신 소프트웨어를 직접 사용하게 되어 라이선스 수요가 감소할 것이며, 기업들은 기계 사용에 대한 추가 비용 지불을 거부할 것이라고 반박했습니다. AI 에이전트가 사용자의 확장인지 아니면 독립적인 노동자인지에 따라 향후 10년의 소프트웨어 경제가 결정될 것이라는 전망입니다.
왜 중요한가
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- A version of this story originally appeared in the BI Tech Memo newsletter. - Sign up for the weekly BI Tech Memo newsletter here. Ashley Stewart's scoops are always worth reading. This week, she published a sharp piece on the AI threat to software, and how Microsoft, Salesforce, and others are responding. Buried in the story was a deceptively simple question: does your AI agent count as an employee? At a recent conference, Microsoft executive Rajesh Jha floated a provocative idea. In a future where companies deploy fleets of AI agents, those agents may need their own identities — logins, inboxes, and even seats inside software systems. If so, AI wouldn't shrink software revenue. It could expand it. "All of those embodied agents are seat opportunities," Jha said, envisioning organizations with more agents than humans — each effectively a user that must pay for a software license, or "seat" in industry lingo. That's a radical twist in the SaaS pricing debate rattling companies like Microsoft, Salesforce, and Workday. Investors worry AI could hollow out seat-based pricing, the backbone of enterprise software. If one human can manage dozens of agents, why pay for dozens of licenses? Jha's answer: because those agents are the new users. A company with 20 employees might buy 20 Microsoft 365 licenses today. If each employee gets five AI agents, and the workforce shrinks to 10 people, that could still mean 50 paid seats. Not everyone buys it. Nenad Milicevic, a partner at AlixPartners, sees the opposite. AI agents will reduce the number of humans interacting with software, slashing licenses. Instead of 20 employees, you might have one person overseeing a handful of agents. That shift would pressure vendors and empower customers to push back on pricing that no longer makes sense. Milicevic argues the winners will be open platforms. Companies could charge extra for machine-based access, but risk losing customers to software rivals that let agents operate freely. Which brings us back to the core tension: if AI agents are just extensions of you, charging extra feels like double billing. If they're autonomous workers, paying for them may be inevitable. The answer could define the next decade of software economics. Sign up for BI's Tech Memo newsletter here. Reach out to me via email at [email protected].