Jack Shaw: AI Transformation Advisor

    AI keynote speaker Jack Shaw helps executives accelerate AI transformation, implement practical AI strategies, and build future-ready organizations that compete in the emerging AI economy.

    Jack Shaw - Image 04 (July 27, 2026)

    Quick Facts:

      • International AI keynote speaker and executive transformation advisor
      • More than 40 years of experience in AI and enterprise technology
      • Delivered over 1,000 keynote presentations across 26 countries
      • Creator of the Dual Path Framework for Tactical AI and Strategic AI
    • Formats:
    • Keynote Speaker | AI Transformation Advisor | Artificial Intelligence Strategist
    • Audiences:
    • Corporate executives, boards of directors, C-suite leaders, technology organizations, manufacturers, financial institutions, healthcare leaders, government agencies, innovation teams, and organizations implementing enterprise AI strategies.
    • Outcomes:
      1. Understand how artificial intelligence and emerging technologies will reshape industries, leadership, and competitive advantage.
      2. Develop practical strategies for accelerating digital transformation and innovation across the organization.
      3. Build future-ready leadership capable of navigating technological disruption with confidence and clarity.
    6 min read
    Reviews: (0 reviews)
    • Travels from: Marietta, GA
    • **US Fee range: $15,000 - $20,000

    Talent Services

    Keynote Topics:

    The Autonomic Enterprise™: How to Win in the Autonomic Economy™

    Executives learn how the Dual Path builds an Autonomic Enterprise capable of competing in the Autonomic Economy now emerging.


    Tactical AI and Strategic AI: The Dual-Path Framework

    Leaders learn to capture near-term Tactical AI wins while building the Strategic AI foundation that changes how the organization competes.


    Your Industry’s AI Imperative

    Programs are tailored to the specific AI opportunities, risks, and competitive pressures facing your industry and audience.


    AI Governance, Risk, and Executive Accountability

    Leaders learn what AI governance requires at the executive and board level, from model risk to regulatory exposure.


    Future-Proofing the Workforce in the Age of AI

    Leaders learn which decisions require irreducible human judgment, and how to prepare their people for the roles only humans can fill.


    All programs can be customized by industry, audience, and event objective.

    Talent Short Bio

    Jack Shaw is an internationally recognized AI transformation advisor, keynote speaker, and bestselling author who helps executive teams navigate the rapidly evolving world of artificial intelligence with clarity, confidence, and measurable business impact. With more than four decades of experience in AI, enterprise technology, and digital transformation, Jack equips organizations to move beyond AI experimentation and implement strategies that create lasting competitive advantage.

    Having delivered more than 1,000 keynote presentations across 26 countries, Jack has advised many of the world’s leading organizations, including IBM, Coca-Cola, Mercedes-Benz, GE, Siemens, Bosch, Caterpillar, Rockwell Automation, Oracle, and 3M. His practical, executive-focused approach enables boards, leadership teams, and business decision-makers to understand not only where AI delivers immediate value but also how it fundamentally transforms the future of business.

    Jack is the creator of the Dual Path Framework, a strategic model that helps organizations balance Tactical AI initiatives that generate measurable productivity gains with Strategic AI investments that reshape operating models, competitive positioning, and long-term growth. His vision of the Autonomic Enterprise™ demonstrates how organizations can combine AI-driven automation with human judgment to create more agile, intelligent, and resilient businesses.

    Jack Shaw is an AI Transformation Advisor, keynote speaker, and author who helps executives make the AI decisions that actually move the needle: where to apply Tactical AI now, which choices belong at the board level, and how Strategic AI reshapes competitive position over the next three to five years.

    Drawing on more than four decades in AI and enterprise technology, Jack has delivered more than 1,000 keynote presentations across 26 countries for organizations including IBM, Coca-Cola, Mercedes-Benz, GE, Siemens, Bosch, Caterpillar, Rockwell Automation, Oracle, and 3M.

    The Dual Path Framework

    Jack’s proprietary Dual Path framework gives leaders a decision structure they can act on immediately

    • Tactical AI drives measurable productivity wins within twelve months.
    • Strategic AI drives the operating-model transformation that changes how an organization competes.

    Organizations must use the Dual Path Tactical AI and Strategic AI planning process to transform, quickly and effectively, into Autonomic Enterprises™ capable of competing in the global Autonomic Economy™ now emerging.

    In an Autonomic Enterprise, AI handles the routine sensing, routing, and response of daily operations at machine speed, while human judgment is reserved for non-delegable decisions.

    Author of Manufacturing’s AI Imperative

    Jack is the author of Manufacturing’s AI Imperative: An Executive Mandate, the first volume in The AI Imperative Series, a growing library of industry-specific guides that apply the Dual Path framework to the AI decisions facing today’s C-suite.

    His keynotes and executive briefings speak directly to the questions boards are asking now

    • How to escape pilot purgatory.
    • How to close the decision latency that slows AI-driven organizations down.
    • How to build the compounding advantage that separates AI leaders from AI laggards.

    Education & Expertise

    Jack holds a degree from Yale University and an MBA from Northwestern University’s Kellogg School of Management.

    He speaks and advises internationally on executive AI strategy, AI governance, and workforce transformation.

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