McKinsey Author Talks: Is our judgment keeping pace with AI?

By McKinsey & Company · Wed, 28 Oct 2026.

McKinsey has released a new episode of its “Author Talks” series titled “AI is advancing. Is our judgment keeping up?”.

The episode's central question is whether it is possible to harness the promise of AI without giving up human judgment. According to the email, technology leader Tiffany Xingyu Wang argues that the answer lies not in deciding whether to trust AI, but in learning when to do so and to what extent. The message boils down to the idea of “calibrating trust” (the link in the email reads “Calibrate trust”).

The email is brief and offers no further details on the content of the conversation, so its specific arguments, figures and examples cannot be determined.

In the “Also Consider” section, McKinsey recommends two related reads: “McKinsey Technology Trends Outlook 2026” and “The state of AI in 2026: On the road to ROI”.

The newsletter also includes an invitation to a McKinsey Live event on November 12, where Andy West, Whitney Zimmerman and Tim Koller will present their upcoming book “Strategy and Value: The Four Foundations That Drive Long-Term Performance”. They will discuss how leaders can drive growth and returns, manage for the long term, capitalize on market attractiveness and build competitive advantage. This last section is unrelated to AI.

For industry context, calibrated trust in AI is a recurring theme in the debate over enterprise adoption of AI systems and agents, where the goal is to balance automation with human oversight.