Thinking Through AI

Meisa Bonelli

Thinking Through AI is a working analysis of how artificial intelligence is actually being understood, deployed, and operationalized. Hosted by Meisa Bonelli, this series examines AI through the lens of executive operations, applied implementation, and systems thinking, focusing on how organizations move from concept to execution. Each episode explores the gap between what is promised and what is delivered, with attention to decision-making, governance, and real-world constraints. Rather than chasing trends, the focus is on clarity: how leaders interpret AI, how teams implement it, and where friction, risk, and opportunity begin to surface inside real systems. It's a structured way of thinking through AI, before it becomes policy, process, or problems.

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  1. 8월 20일

    Ep.5 - The AI Data Center Boom Has a “Trust Me Bro” Problem

    America’s AI buildout isn’t only a question of compute, electricity, water, and data centers.  It’s increasingly a question of public trust: who absorbs the costs, who participates in the economic upside, and whether communities have a meaningful voice before the infrastructure arrives. This discussion looks at AI infrastructure as a systems problem connecting utility bills, ratepayer protections, grid investment, workforce development, CTE pathways, community participation, and public legitimacy.  If America intends to build the physical infrastructure required for AI leadership, the benefits have to become tangible to the people being asked to live alongside it. Public trust isn’t separate from infrastructure.  It may be one of the most important pieces of infrastructure we have to build. This content is for informational purposes only and does not constitute financial, legal, or investment advice. Meisa Bonelli is not a licensed financial advisor or attorney. Work with Meisa AI Adoption Leadership Audio Briefing   Engagement Assessment The Signal Memo Connect with Meisa Website: https://www.meisab.com LinkedIn: https://www.linkedin.com/in/meisabonelli TikTok: https://www.tiktok.com/@meisabonelli YouTube: https://www.youtube.com/@meisabonelli X (Twitter): https://x.com/meisabonelli Bluesky: https://bsky.app/profile/meisabonelli

  2. 7월 2일

    Ep. 4 - Algorithmically Blackballed: What Happens When Every Employer Uses the Same AI

    Artificial intelligence is rapidly becoming embedded in hiring, but the most important question may no longer be whether a single algorithm is biased. The larger issue is what happens when large portions of the labor market rely on the same underlying systems to make decisions about who gets seen, who advances, and who gets left behind. Drawing on Stanford's research into algorithmic monocultures in hiring, this discussion explores systemic rejection, labor market infrastructure, third-party risk, AI governance, accountability, and the broader implications of shared decision-making systems. As AI moves from operational tool to foundational infrastructure, the governance questions become much larger than hiring alone. Work with Meisa AI Adoption Leadership Audio Briefing   Engagement Assessment The Signal Memo Connect with Meisa Website: https://www.meisab.com LinkedIn: https://www.linkedin.com/in/meisabonelli TikTok: https://www.tiktok.com/@meisabonelli YouTube: https://www.youtube.com/@meisabonelli X (Twitter): https://x.com/meisabonelli Bluesky: https://bsky.app/profile/meisabonelli

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소개

Thinking Through AI is a working analysis of how artificial intelligence is actually being understood, deployed, and operationalized. Hosted by Meisa Bonelli, this series examines AI through the lens of executive operations, applied implementation, and systems thinking, focusing on how organizations move from concept to execution. Each episode explores the gap between what is promised and what is delivered, with attention to decision-making, governance, and real-world constraints. Rather than chasing trends, the focus is on clarity: how leaders interpret AI, how teams implement it, and where friction, risk, and opportunity begin to surface inside real systems. It's a structured way of thinking through AI, before it becomes policy, process, or problems.

정보

  • 제작진
    Meisa Bonelli
  • 방송 연도
    2026년
  • 에피소드
    2
  • 등급
    무삭제판
  • 저작권
    © 2026 Thinking Through AI