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    Platform Strategy: Designing for Humans and AI Agents
    MIT Sloan School of Management

    Platform Strategy: Designing for Humans and AI Agents

    MIT Sloan School of Management, Cambridge
    HomeMIT Sloan School of ManagementPlatform Strategy: Designing for Humans and AI Agents
    4 daysDuration
    onlineFormat
    EnglishLanguage
    StrategyTopic

    Available Cohorts

    Choose your preferred start date

    Jun 15 - Jun 18, 2026
    4 days · online · Instructor-Led
    Open
    Dec 8 - Dec 11, 2026
    4 days · online · Instructor-Led
    Open
    $4,900

    All-inclusive program fee

    About This Program

    Some of the most successful firms in the economy have adopted a digital platform model—an approach where two or more groups interact over a shared architecture to co-create value. Today, a new force is reshaping platform ecosystems: AI agents that can search, negotiate, and transact on behalf of users are beginning to operate as platform participants in their own right. This changes the strategic calculus for platform design, pricing, and governance in fundamental ways.


    In Platform Strategy: Designing for Humans and AI Agents, you will learn the core logic of multi-sided platforms—how to design the interactions they enable, how to attract participants to both sides, and how to capture value without undermining the ecosystem. You will also learn how to anticipate and respond to the arrival of AI agents on your platform, whether as complements to human participants or substitutes for them. Using cases and tools drawn from economics, market design, and competitive strategy, the course prepares you to make the platform decisions that matter most: what interaction to enable, whom to attract first, what to charge, and how to govern an ecosystem where humans and AI agents coexist.


    AI agents—systems that search, negotiate, and transact on behalf of users—are beginning to show up as participants on multi-sided platforms. This alters the challenges of platform design in fundamental ways. Agents can dramatically reduce search frictions, but they can also introduce new forms of congestion and strategic obfuscation. Agents can automate contracting and payment, thus lowering transaction costs, but they raise novel governance questions about trust, safety, and accountability that platform designers must address. This course examines how the fundamentals of platform strategy—coring, seeding, and tipping—must shift when one or more sides of the platform are populated by AI agents rather than (or alongside) human beings.


    Identify the core interaction at the heart of a platform and distinguish platforms from products and services


    Describe the common evolution patterns of multi-sided platforms, including the sequential logic of coring, seeding, and tipping


    Design strategies to attract participants, defend against competitive attacks, and extract value without repelling your ecosystem


    Recognize how AI agents alter the search cost and transaction cost economics that underpin platform value


    Evaluate coring and governance decisions for platforms where human and AI participants coexist


    Describe the principles of platform pricing and how to design an effective pricing architecture


    Interviewing.io


    Google vs Bing


    Dropbox v. Google Drive


    E-Harmony


    Roppongi Hills


    PayPal


    Hulu vs Netflix

    Why MIT Sloan School of Management?

    MIT Sloan doesn't trade on prestige alone — it trades on proximity. Proximity to one of the world's densest concentrations of engineering, AI, and life sciences research, and to a faculty that publishes the ideas executives will be managing around in five years. If you want to understand how technology reshapes strategy before it reshapes your industry, this is the room to be in.

    Your Profile

    • Leaders of corporate strategy and business development
    • Marketing executives
    • Product and service development leaders
    • R&D and innovation executives
    • Heads of development and management
    • Leaders evaluating how AI agents will reshape their industry's competitive dynamics

    Benefits

    • Identify the core interaction at the heart of a platform and distinguish platforms from products and services
    • Describe the common evolution patterns of multi-sided platforms, including the sequential logic of coring, seeding, and tipping
    • Design strategies to attract participants, defend against competitive attacks, and extract value without repelling your ecosystem
    • Recognize how AI agents alter the search cost and transaction cost economics that underpin platform value
    • Evaluate coring and governance decisions for platforms where human and AI participants coexist
    • Describe the principles of platform pricing and how to design an effective pricing architecture
    • Interviewing.io
    • Google vs Bing
    • Dropbox v. Google Drive
    • E-Harmony
    • Roppongi Hills
    • PayPal
    • Hulu vs Netflix