Description

This week Tom Webster reports back from Denver, where Content Marketing World, LIONS, and The Market Research Event shared one expo floor and nearly every booth was selling an AI-augmented something. His argument is that large language models are built to produce the most probable answer, which makes them a machine for the average, and that the real opportunity is to hand over the average work and reinvest the time in what only people can do.

Tom gets into:

• Why synthetic survey respondents hand you the consensus back, and why research earns its keep by finding what you didn't expect
• Where AI belongs in podcasting (show notes, transcripts, ad operations) and where it doesn't (the host-read ad and the show itself)
• Why "good enough" is a thermostat setting, and what it takes to turn it up
• What happens when AI becomes just another tool and the expo floor goes back to arguing about the work

Read the full issue here.