95% percent of generative AI pilots deliver no measurable return (MIT), not because the tools are weak, but because adoption is a behavior-change problem. Meanwhile, an estimated 98% of organizations have employees quietly using unsanctioned AI tools (Verizon), and shadow AI detections have quadrupled in a year. Adoption doesn't just fail up front, it can fail again, quietly, long after it looked like a success.
The three psychological forces behind resistance, and how to diagnose which one is at play.
Why trust in AI fails in two opposite directions, and how to design for both.
Three hidden failure modes that hide behind good-looking metrics: shadow AI use, performative human review, and failure to escalate.
One unified diagnostic sequence to run against any AI rollout, live or in retrospect.
30 minutes on why adoption fails, 35 minutes on why it fails again after it "worked," a short live diagnostic applied to a rollout you bring, and a closing synthesis, plus live Q&A.
Team leads, managers, and compliance or risk owners accountable for AI adoption, not just AI strategy. No behavioral science background required.
Taught by Eugene Chan (PhD Toronto), behavioral science professor, consultant, and author of Managing Brand Crises and Consumer Behavior in Practice.
Monday, September 21, 2026, from 1 pm to 2:30 pm (Toronto/NY EST). After registration and payment verification, a calendar invite with videoconferencing link will be provided to the registered e-mail address.
95% percent of generative AI pilots deliver no measurable return (MIT), not because the tools are weak, but because adoption is a behavior-change problem. Meanwhile, an estimated 98% of organizations have employees quietly using unsanctioned AI tools (Verizon), and shadow AI detections have quadrupled in a year. Adoption doesn't just fail up front, it can fail again, quietly, long after it looked like a success.
The three psychological forces behind resistance, and how to diagnose which one is at play.
Why trust in AI fails in two opposite directions, and how to design for both.
Three hidden failure modes that hide behind good-looking metrics: shadow AI use, performative human review, and failure to escalate.
One unified diagnostic sequence to run against any AI rollout, live or in retrospect.
30 minutes on why adoption fails, 35 minutes on why it fails again after it "worked," a short live diagnostic applied to a rollout you bring, and a closing synthesis, plus live Q&A.
Team leads, managers, and compliance or risk owners accountable for AI adoption, not just AI strategy. No behavioral science background required.
Taught by Eugene Chan (PhD Toronto), behavioral science professor, consultant, and author of Managing Brand Crises and Consumer Behavior in Practice.
Monday, September 21, 2026, from 1 pm to 2:30 pm (Toronto/NY EST). After registration and payment verification, a calendar invite with videoconferencing link will be provided to the registered e-mail address.
