The Cambridge Marketing Podcast

The episode contains genuine quantitative findings from primary research that a marketer would find useful, but the surrounding commentary leans heavily on obvious observations (AI won't replace strategic thinking, you still need to learn the craft) that circulate everywhere. Signal-to-filler ratio is moderate.

“57.8% of the copyright and job adverts that I analyzed mentioned AI in some way, but very few of them were requesting any sort of advanced AI skills”

“strategy was mentioned in 59.1% of adverts. So strategy was actually more prevalent than AI”

The framing of AI as a 'technology of averages' has some bite, but virtually every conclusion drawn - AI is a workflow tool, strategic copywriters are safe, junior writers are over-reliant on AI - is a recycled take. The primary data is the only genuinely novel element.

“as useful as AI is as a workflow tool, as a technology of averages. So, you know, if all you're doing is giving a prompt and copying and pasting whatever it produces, it will read well and there won't be any like grammatical errors in it it, but it will be the same as everything else that's out there”

“employers are expecting copywriters to have a working knowledge of AI, but they're not expecting AI to automate the writing”

Jamie Thompson is a credible practitioner who conducted genuine primary research, which is a meaningful differentiator, but as the founder of a small single-city agency they lack the scale of experience that would produce rarer or more authoritative insights into industry-wide hiring trends.

“I analyzed 230 job adverts that had the word copywriter in the title over sort of three separate 30 day periods in the first half of 2026”

“Increasingly I'm being asked to interview people internally to sort of extract the information that only they know”

Concrete percentages from a clearly described methodology (230 ads, three separate 30-day windows, defined inclusion criteria, multiple job boards) lift this well above typical opinion-based podcast content; this is the episode's clearest strength, though no control data or year-over-year comparisons exist to contextualise the figures.

“I analyzed 230 job adverts that had the word copywriter in the title over sort of three separate 30 day periods in the first half of 2026, looking at adverts across the UK and selected countries in Europe”

“I only chose adverts that had the word copywriter specifically in the title. So anything that was like writing adjacent unless it had the word copywriter in it, I sort of dismissed it”

The host asks reasonable follow-up questions and surfaces the methodology angle usefully, but consistently affirms rather than challenges - never probing the sample size's representativeness, the self-selection of posted ads vs. actual hiring, or the lack of a historical benchmark. The host also frequently inserts lengthy personal anecdotes that consume airtime.

“Do you think that's got new emphasis now or is it something that's always been there?”

“I get frustrated with storytelling and people will sort of start their presentations with let me tell you a story”