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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
انگلیسی
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