『Now to Next: The Signal』のカバーアート

Now to Next: The Signal

Now to Next: The Signal

著者： Jason Averbook
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A place to sit down with trailblazers, truth-tellers, and builders who are actively reshaping our world.

© 2026 Now to Next: The Signal 出世 就職活動 経済学
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  • EP2: AI Is Moving Faster Than Your Operating Model with Johannes Sundlo

    EP2: AI Is Moving Faster Than Your Operating Model with Johannes Sundlo
    2026/10/05
    Six months can now make an AI idea go from sounding years ahead of its time to something people are already using every day. That compression creates a difficult question for executives: how do you make durable decisions when the technology, tools, and ways of working may change before a traditional planning cycle is finished?In Episode 2 of Now to Next: The Signal, the new season of Jason Averbook’s Now to Next podcast, Jason reconnects with Johannes Sundlo, a longtime HR practitioner who spent roughly 15 years inside organizations, including Spotify and Avalanche Studios Group, before focusing his work on AI, people, and organizations.Their conversation starts with agents but quickly becomes much bigger. Jason and Johannes explore what happens when employees bring personal agents into work, whether organizations are prepared for knowledge that moves with those agents, why long technology bets are becoming harder to make, and why data becomes even more important as the interface between employees and enterprise systems changes.They also confront a harder question for HR. If the workforce increasingly includes both people and machines, does it still make sense to organize HR and IT as separate worlds? Is another round of HR transformation enough, or is the function itself approaching a more fundamental redesign?This is a conversation about making decisions without pretending the environment is stable. The signals are already here. The question is whether executives are willing to redesign around them.HighlightsHow quickly agents moved from an emerging idea to something individuals are already using as part of everyday work.Why personal agents stop being purely personal the moment employees begin using them to perform work.What happens when an employee’s agent develops knowledge about the company and the employee eventually leaves.Why Jason believes organizations need to build a coordinated context layer so people can benefit from what the organization collectively knows.Why traditional long-term technology planning becomes harder when capabilities can change materially within months.Why Jason believes organizations should pay much more attention to signals than predictions right now.Why good data becomes more important as agents increasingly sit between employees and enterprise systems.How years of vendor lock-in, fragmented systems, and weak data practices create new constraints for HR.Whether the traditional separation between HR and IT still makes sense when organizations are managing both people resources and machine resources.Why another round of incremental HR transformation may not address the magnitude of the change now underway.Why leadership investment and psychological safety become more important, not less, when the technology is moving quickly.The difference between asking what AI could do and deciding what it should do inside a specific organization.Why practical experimentation matters more than claiming expertise in a field that changes almost daily.Jason’s argument that this is not another client-server-to-cloud transition, but a fight for relevance at the company, function, role, and individual level.Why the next employee experience may be defined less by navigating enterprise applications and more by agents acting across them.About Jason AverbookJason Averbook has spent thirty years watching the gap between where organizations say they are with technology and where work is actually happening. He has a name for it. He has a framework for closing it. And he built Now to Next to do exactly that.Now to Next is the AI studio Jason co-founded with Jess Von Bank in 2026, built on practitioner intelligence, original research, and the conviction that human transformation precedes digital transformation. Always has. Always will.Before Now to Next, Jason co-founded Leapgen, acquired by Mercer in 2023, where he led global HR transformation strategy and the firm’s generative AI practice. Earlier he served as CEO of The Marcus Buckingham Company, co-founded Knowledge Infusion through its acquisition by Appirio, and held senior roles at PeopleSoft and Ceridian. He has advised hundreds of Fortune 1000 companies, authored two books on the future of HR and workforce technology, delivered more than 1000 keynote presentations globally, and teaches as an adjunct professor at universities worldwide.He is consistently recognized as one of the top three thought leaders globally on the future of work.About Johannes SundloJohannes Sundlo describes himself as a recovering HR person who spent roughly 15 years working inside organizations before turning his focus to AI and its implications for people and organizations.His HR career has included HR business partner and HR director roles, with experience at Spotify and as VP of HR for Avalanche Studios Group. Today, his work focuses on making sense of how AI is changing people, organizations, work, and the decisions companies need to make as these ...
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  • EP1: You Can’t Lead an AI Strategy You Haven’t Experienced with Alison McCauley

    EP1: You Can’t Lead an AI Strategy You Haven’t Experienced with Alison McCauley
    2026/09/17

    Most executives are being asked to make consequential decisions about AI before they have personally experienced what the technology can actually do. That creates a fundamental leadership problem: how do you set strategy for something you understand primarily through presentations, demonstrations, and other people’s explanations?

    In Episode 1 of Now to Next: The Signal, the new season of Jason Averbook’s Now to Next podcast, Jason sits down with Alison McCauley, two-time bestselling author and author of How to Think with AI, to examine the growing gap between what AI makes possible and what most enterprises are actually doing with it. Jason and Alison explore what that disconnect means for leadership, learning, trust, culture, work design, and the role of HR. They challenge conventional measures of AI adoption, examine what happens when employees understand the possibilities before leadership does, and ask how organizations should prepare for a workforce that increasingly includes both human and digital workers.

    The conversation ultimately moves beyond AI itself. It asks whether executives, operating models, and institutions can learn and change quickly enough to make intelligent use of a technology that will not wait for them to catch up.

    Episode Highlights

    • Why leaders need direct experience with AI before they can shape a meaningful strategy.
    • What changes when software learns from people instead of people learning the software.
    • Why the gap between personal and enterprise AI is becoming impossible to ignore.
    • How speed to learn can matter more than speed to launch.
    • Why login rates reveal almost nothing about whether work is actually changing.
    • What HR must do when the workforce includes both humans and digital workers.

    About Jason Averbook

    Jason Averbook has spent more than 30 years shaping HR technology and workforce transformation. His career includes leadership roles at PeopleSoft and Ceridian, co-founding and leading Knowledge Infusion from 2005 to 2012, serving as CEO of The Marcus Buckingham Company, and co-founding and leading Leapgen from 2018 to 2023. After serving as Mercer’s Global HR Transformation Leader, he co-founded Now to Next to help leaders prepare people and organizations for an AI-shaped world.

    About Alison McCauley

    Alison McCauley is a two-time bestselling author who has spent three decades operating as a conduit between Silicon Valley disruptors and enterprise leaders seeking to leverage new technology. As an adviser to both the enterprise C-suite and emerging technology founders, she has helped develop new market categories and partnered with early leaders in AI since 2010.

    As a social scientist, Alison’s work is grounded in human behavior, organizational dynamics, and the challenge of translating innovation into performance. Her most recent bestseller, How to Think with AI, grew from a year of research studying hundreds of AI early adopters and turns those insights into a framework for helping people use AI as a cognitive advantage. Her work has appeared in Harvard Business Review and Forbes, and her executive education course has reached more than 100,000 learners.

    Stay Connected

    Alison McCauley

    Website: https://www.alisonmccauley.io/

    LinkedIn: https://www.linkedin.com/in/unblocked/

    Jason Averbook

    LinkedIn: https://www.linkedin.com/in/jasonaverbook/

    X: https://x.com/jasonaverbook

    Substack: https://jasonaverbook.substack.com/

    Now to Next

    Website: https://nowtonext.ai/

    Podcast: https://podcast.nowtonext.ai/episodes

    LinkedIn: https://www.linkedin.com/company/now-to-next-ai/

    Instagram: https://www.instagram.com/nowtonext.ai/

    YouTube: https://www.youtube.com/@nowtonextai

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    43 分
  • Intro Episode for Now to Next: The Signal

    Intro Episode for Now to Next: The Signal
    2026/09/16

    Everyone wants to know which AI tool to buy, but far fewer people are willing to talk honestly about what happened after they bought it. After 28 episodes of his previous podcast, Jason Averbook is beginning a new season with a new name and a sharper purpose: Now to Next: The Signal. It is designed to be an hour without the noise, built around candid conversations with executives, technology leaders, and practitioners who are already doing the work of transformation.

    These conversations will go beyond polished case studies and easy slogans. Jason wants to understand how work actually changed, where organizations automated dysfunction, who was left behind, and what leaders still have not figured out. The goal is not to feed the fear or manufacture reassurance. It is to stay with the questions that matter, especially when the answers are not clear.

    This season is for CIOs, CXOs, CHROs, CEOs, transformation leaders, and anyone curious about people, technology, and the way the world is changing. The premise is simple: AI is not the transformation. You are.

    Episode Highlights

    • What changes after 28 episodes when the conversation gets more focused?
    • Why are so few people asking what actually changed after the AI arrived?
    • When does automation become dysfunction moving faster?
    • The most useful transformation conversations start where the easy answers end.
    • What remains uniquely human when machines can do more of the work?
    • The fear beneath the AI conversation may be the fear of becoming irrelevant.

    About Jason Averbook

    Jason Averbook has spent more than 30 years shaping HR technology and workforce transformation. His career includes leadership roles at PeopleSoft and Ceridian, co-founding and leading Knowledge Infusion from 2005 to 2012, serving as CEO of The Marcus Buckingham Company, and co-founding and leading Leapgen from 2018 to 2023. After serving as Mercer’s Global HR Transformation Leader, he co-founded Now to Next to help leaders prepare people and organizations for an AI-shaped world.

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    3 分
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