Gleb Tsipursky
Dr. Gleb Tsipursky is on a mission to protect leaders from dangerous judgment errors known as cognitive biases. His expertise and passion is using pragmatic business experience and cutting-edge behavioral economics and cognitive neuroscience to develop the most effective and profitable decision-making strategies. A best-selling author, he wrote Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters (2019), The Truth Seeker’s Handbook: A Science-Based Guide (2017), and The Blindspots Between Us: How to Overcome Unconscious Cognitive Bias and Build Better Relationships (2020). Dr. Tsipursky’s cutting-edge thought leadership was featured in over 400 articles and 350 interviews in Fast Company, CBS News, Time, Business Insider, Government Executive, The Chronicle of Philanthropy, Inc. Magazine, and elsewhere.
His expertise comes from over 20 years of consulting, coaching, and speaking and training experience as the CEO of Disaster Avoidance Experts. Its hundreds of clients, mid-size and large companies and nonprofits, span North America, Europe, and Australia, and include Aflac, IBM, Honda, Wells Fargo, and the World Wildlife Fund. His expertise also stems from his research background as a behavioral economist and cognitive neuroscientist with over 15 years in academia, including 7 years as a professor at the Ohio State University. He published dozens of peer-reviewed articles in academic journals such as Behavior and Social Issues and Journal of Social and Political Psychology.
He lives in Columbus, OH, and to avoid disaster in his personal life makes sure to spend ample time with his wife. Contact him at Gleb[at]DisasterAvoidanceExperts[dot]com, follow him on Twitter @gleb_tsipursky, Instagram @dr_gleb_tsipursky, Facebook, YouTube, RSS, and LinkedIn. Most importantly, help yourself avoid disasters and maximize success, and get a free copy of the Assessment on Dangerous Judgment Errors in the Workplace, by signing up for his free Wise Decision Maker Course.
Unleashing Gen AI Success Through Team Collaboration
AI success depends on empowering teams to experiment with Gen AI, balancing autonomy with strategic guidance, fostering cross-functional collaboration, and building a culture of trust, continuous learning, and responsible innovation.
The Key Competitive Advantage of Gen AI Experimentation
AI experimentation drives innovation by turning uncertainty into learning. Organizations that empower teams to test, learn from failure, and iterate can unlock Gen AI’s value and build lasting agility.
AI Skills Are Quietly Becoming the New Office Rent
AI skills are quietly becoming the new baseline for workplace success. Those who learn to use AI with judgment, creativity, and accountability will gain an advantage, while organizations must invest in training and responsible adoption.
America’s AI Lead Is Really a Management Story
America’s AI lead is driven not just by better AI models, but by stronger management and faster organizational adoption. Europe’s productivity gap will depend on redesigning work and empowering firms to effectively use AI.
AI Policy Is Losing the Race
AI is reshaping work, infrastructure, and global competition faster than institutions can adapt. A strong AI policy is now essential to build trust, guide responsible adoption, and ensure innovation benefits society sustainably.
The Real AI Story Is Adoption Without Trust
The real AI story is not AI replacing humans overnight; it’s people embracing AI as a tool while demanding transparency, accountability, and human control over decisions, jobs, privacy, and communities.
AI Job Diffusion Is Outrunning Every Tech Wave Before It
AI job diffusion is accelerating as companies move from AI experimentation to hiring, workflow redesign, and productivity gains. However, adoption remains uneven, favoring organizations and workers who build AI skills and adapt early.
AI Is Reshaping the Labor Market, but Not How People Think
AI is reshaping the labor market through task-level automation and slower entry-level hiring, not mass unemployment. The biggest impact is on how work is redesigned and how organizations prepare workers for an AI-driven future.
Why Most Organizations Are Getting AI Adoption Wrong
Getting AI adoption wrong means focusing on better AI instead of better judgment. Organizations gain the most when employees understand their own limits and know when to trust or challenge AI, unlocking stronger performance and wider productivity gains.
AI Adoption Looks Widespread Until You Measure It
AI adoption is accelerating, but real value comes from embedding AI into everyday workflows, upskilling employees, and aligning leadership and workforce expectations to close the gap between strategy and daily execution.