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    Home»AI & Future Tech»AI won’t decide who wins, leadership will; I’m studying both at Harvard :: WRAL.com
    AI & Future Tech

    AI won’t decide who wins, leadership will; I’m studying both at Harvard :: WRAL.com

    TheWireHub.netBy TheWireHub.netFebruary 17, 2026No Comments2 Views
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    AI won’t decide who wins, leadership will; I’m studying both at Harvard :: WRAL.com
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    Thank you for the notice, bro. I’ll fix it as soon as possible and get back to you shortly.

    Later this month, I’m heading to Harvard to learn
    about AI. 

    Artificial intelligence was once a science fiction
    trope; today it’s a business fact. It shapes how decisions get made, how work
    is evaluated, and how much stakeholders trust organizations. Leaders aren’t
    being asked if they’re using AI; they’re being asked how they are
    integrating it—and they are being judged on their response.  

    That reality is what drove my decision to explore
    AI-driven, human-centered solutions with a world-class instructor and a cohort of
    business leaders.  

    AI is a culture and performance issue 

    When executives talk about AI, most conversations are
    about tools, speed and efficiency. Less often are discussions about the human
    element and how to responsibly adopt the technology.
    But this is where the real impact shows up. When organizations focus on the
    “how” of AI integration, instead of the “why,” they risk damaging their
    workplace culture and eroding psychological safety.

    In
    my role as managing director for Workplace Options’ Center of Organizational
    Effectiveness
    , I lead a
    practice focused on culture and performance. Across industries, I see the same
    pattern when AI enters decision-making environments.

    With
    each machine-generated recommendation, people pause and ask:

    ●    
    Is it safe to
    question this?

    ●    
    Will disagreeing make me look less competent?

    ●     Does
    leadership want my perspective or just alignment?

    These moments determine whether AI strengthens
    performance or undermines it. Machines can provide relevant information in
    moments, but they aren’t infallible. Individuals need to feel empowered to
    express alternate opinions and fresh ideas, even if they contradict the AI guidance. 

    Psychological safety can be tested when machines enter
    the room. If leaders aren’t deliberate, AI can unintentionally crowd out the
    human voice — not through volume, but through perceived authority. When reams of
    data are behind a recommendation, disagreeing takes a confident employee and
    supportive leadership.  

     Building trust when AI is part of the decision  

    The future of the AI-integrated workplace will be
    decided by leaders and how they create space for people to contribute, create
    and innovate. That’s why I wanted to explore AI in a setting that considers
    human behavior, leadership and decision-making as inseparable aspects of a
    single technical strategy.

    That journey will likely involve wrestling with questions
    that have no clean answers.

    ●    
    When should we rely on technology? When should we slow
    down and verify?

    ●    
    How do we explain AI-influenced decisions clearly and credibly?

    ●     Who owns the outcome when
    humans and machines shape it together?

    More
    information isn’t the answer. Instead, leaders need practice navigating
    ambiguity, explaining judgment calls, and being accountable when decisions are
    influenced by algorithms. Psychological safety and leadership trust are built by leaders who can
    explain how a decision was made, why it makes sense, and where its limits
    are while still owning the final call.

    Why being there physically still matters 

    I could have taken this course online. Many people
    decide to go that route. But my personal convenience wasn’t the first thing on
    my mind when I signed up for this experience. Instead, I was thinking about
    collaboration and innovation.

    I believe the most valuable learning happens when
    peers examine problems from multiple angles, question assumptions, and build on
    each other’s ideas. Creative tension — marked by
    honest debate and respectful disagreement — leads to growth, fresh ideas and
    winning solutions. This process is messy, and it doesn’t happen in isolation. It
    works best in real time, when people gather in one
    place to collectively challenge the status quo and refine strategies.

    Psychological safety is built in rooms like that. So
    is leadership effectiveness.

    Inclusive leadership in the AI era 

    Psychological safety, empathy and human-centered
    leadership are critical to effective workplaces. Organizations that
    successfully integrate AI prioritize those qualities in the following best
    practices:  

    • Begin with human outcomes, not technological capabilities. Every AI implementation should enhance human judgment, not supplant it. The essential question: How does this enable my team
      to perform at their best?
    • Practice inclusive listening. AI synthesizes information, but it cannot absorb your team’s concerns. Create space to hear people, understand their obstacles, and respond with intention.
    • Combine algorithmic analysis with human judgement. Deploy AI to reveal patterns and possibilities, then use empathy to guide consequential decisions.
    • Invest in emotional intelligence development. As AI handles more technical work, interpersonal capabilities become increasingly valuable. Cultivate empathy, communication depth, and active listening across your leadership pipeline.

    As Harvard instructor and AI expert Andrew Storey, says,
    “Always align technology to business and operational goals. Your customer and
    people need to be at the center of your decision-making and planning process.” 

    Culture decides who crosses the finish line

    In times of rapid change, leaders don’t earn trust by
    pretending to have all the answers. They earn it by learning aggressively,
    asking better questions, promoting psychological safety, and protecting the
    human side of performance.
     

    I’m
    not going to Harvard for a credential. I’m going to sharpen my judgment at a
    moment when leadership itself is being redefined.

    AI
    is changing how fast organizations move. Culture will determine whether
    they win.

    About the Author  

    Donald Thompson is an award-winning CEO and multi-exit entrepreneur,
    honored as EY Entrepreneur Of The Year®, named to Forbes Next 1000, and a 3x
    Inc. 5000 Chief Executive. Currently the Managing Director of the
    Center for
    Organizational Effectiveness
    at
    Workplace Options, Thompson is a sought-after speaker on innovation, culture
    and growth. His books include
    Underestimated:
    A CEO’s Unlikely Path to Success,
    now available as an audiobook; The
    Inclusive Leadership Handbook
    :
    Balancing People and Performance for Sustainable Growth; and The Employee
    Engagement Handbook
    ,
    coming in February 2026. He hosts the globally recognized podcast “
    High Octane
    Leadership
    ,” and has published
    widely on leadership and the executive mindset. Follow Thompson on
    LinkedIn or contact him at info@donaldthompson.com for executive coaching and speaking engagements.

     

     

    decide Harvard leadership studying wins wont WRAL.com
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