Dr. Gleb Tsipursky
409 episodes listed below
Practical judgment for generative AI adoption.
Wise Decision Maker Show is a business technology program focused on generative AI adoption inside organizations. Its episodes favor concrete implementation choices: feedback-driven training, cross-functional committees, employee portals, microlearning, transparency, and workforce context.
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Wise Decision Maker Show covers generative AI from the point of view of business execution. The premise is straightforward. AI can raise productivity, improve output, and reshape white-collar work, but only when organizations train people, manage risk, and communicate honestly. Episodes often begin with a tight implementation claim, then expand into frameworks leaders can apply inside their own companies. Feedback matters. So do engagement scores, completion rates, case studies, and qualitative comments from employees who have to use the tools every day. The show pays close attention to training design, especially microlearning, role-specific lessons, and continuous improvement as AI systems and business needs change. It also stresses structure. Cross-functional committees, centers of excellence, and internal AI portals appear as ways to keep adoption from getting trapped inside IT or executive strategy decks. The tone is advisory and direct, with a bias toward practical management decisions. Examples from law firms, manufacturing firms, CPG firms, healthcare firms, retailers, insurance, associations, and sales teams give the episodes a grounded business texture. The show is also alert to anxiety. Several episodes frame trust as a core operating requirement, not a soft benefit. Employees need to hear the truth about goals, delays, risks, job displacement fears, and the intended role of AI in their work. When the show discusses automation, it usually separates dramatic headlines from slower organizational patterns such as hiring freezes, role consolidation, and employees becoming managers of AI agents. Guest conversations bring in outside perspectives on career trends and surveys, while solo episodes concentrate on adoption playbooks. It is not a general technology news show. It is a management briefing for organizations trying to make generative AI useful, governed, and accepted.
Made for: For executives, consultants, HR leaders, operations managers, association leaders, and technology managers responsible for generative AI rollout. It especially suits teams moving from experiments toward training, governance, and workforce communication.
What sets it apart: The show stays close to implementation mechanics rather than abstract AI enthusiasm. Its recurring strength is connecting employee trust, training design, and cross-functional governance to measurable business results.
Want to be a truly wise decision maker? Worried over cognitive biases leading to business disasters? Seeking to notice and address major threats and seize key opportunities? The "Wise Decision Maker Show" helps you achieve all these and more. The show's host, Dr. Gleb Tsipursky, combines over two decades of experience consulting, coaching, and training business leaders on avoiding business disasters and maximizing success with his expertise from over 15 years in academia in cutting-edge research in cognitive neuroscience and behavioral economics https://disasteravoidanceexperts.com/glebtsipurskyThe "Wise Decision Maker Show" is brought to you by Disaster Avoidance Experts, the consulting, co…
Short reviews from the PlayNext desk, based on the episodes we processed.
A grounded look at AI anxiety, hiring freezes, and the slower reality of workplace change.
The piece treats workplace AI anxiety with a steadier hand than the usual alarmism. Julia Toothaker's point lands clearly: adoption tends to move in small steps, with firms freezing hiring, leaving some roles unfilled, or bringing in AI-focused hires while training current staff…
A clear look at how brands can measure and improve visibility in AI search.
Brands are trying to stay visible as search starts to look more like answers. David Llewellyn of Verbatim Digital walks through a practical way to check visibility in ChatGPT, Perplexity, and Google Gemini, then points back to the basics that still carry weight: SEO, Reddit,…
Tech talk with everyday skepticism.
Commerce strategy for the changing shelf.
Stephen Dubner tests bourbon economics, Alzheimer's research, and money advice against hard data.
Daily business news with Kai Ryssdal, tracking Fed policy, oil shocks, and private credit.
Galloway rotates Office Hours Q&A, Raging Moderates politics, and China Decode geopolitics weekly.
This episode discusses how to enhance generative AI training initiatives by leveraging participant feedback and data for continuous improvement.
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This episode explains how microlearning provides a flexible and personalized approach to educating employees about generative AI through bite-sized lessons that fit into busy schedules.
This episode discusses how organizations can effectively scale Generative AI through a Center of Excellence to transform individual productivity gains into enterprise-wide benefits.
This episode explains how to build an internal generative AI portal to help employees overcome anxiety and adopt AI tools effectively through centralized resources and upskilling.
This episode explores how Generative AI will likely reduce association communications departments to one person by automating routine tasks while emphasizing the evolving strategic role of human professionals.
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New research shows that remote work helps older workers with disabilities stay employed by allowing them to manage their health needs and avoid commuting, though rising return-to-office mandates threaten these gains.
This episode discusses how the American Society for Non-Destructive Testing successfully implemented a hands-on AI agent building workshop at their annual conference, enabling members to create practical prototypes while gaining educational and revenue value.
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This episode examines how forcing women back to the office increases bias and discrimination, costing taxpayers and shareholders, and discusses the risks of lawsuits and talent loss.
This episode discusses a study on how remote work reduces metropolitan pollution using satellite emissions data.
The host debunks hype around AI agents, explaining why many AI projects fail due to unrealistic expectations and integration challenges.
This episode discusses how remote work boosts startup productivity, revenue, and innovation, citing research and statistics.
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This episode discusses research showing that return-to-office mandates cause increased turnover and hiring difficulties, especially among women and skilled workers.
The episode critiques the Trump administration's return-to-office policy as undermining its pro-natalist goals, citing a Stanford study on working mothers' preference for remote work.
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This episode explains why employee buy-in is crucial for successful generative AI adoption and offers strategies like hands-on training, incentives, and personalized learning to drive engagement.
This episode critiques the Trump administration's return-to-office mandate for federal workers, citing research that remote work boosts public sector productivity by 12%.
This episode argues that forced return-to-office policies harm older adults, disabled people, and women, and advocates for flexible work models.
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This episode examines public and employee concerns about the rapid deployment of generative AI, highlighting bipartisan support for slowing AI progress due to fears of job loss, safety risks, and ethical issues.
This episode discusses research findings on how executives, managers, and employees differ in their preferences for remote versus in-office work arrangements and the impact on job satisfaction.
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The episode discusses a Government Accountability Office report that challenges the logic of full-time return-to-office policies, citing evidence supporting remote and hybrid work.
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