AI and the Future of Marketing: How to Embrace Change Without Losing Control

·50 min·4 clips

Keri-Lou Dietrich shares how she faked it till she made it at Atlassian, feeling alone while pioneering product-led growth.

AI is not magic here. The main thread is control: how marketers can use ChatGPT and Claude every day without confusing a useful draft with a finished decision. The guest keeps asking for proof. She wants fewer airy tips and more working examples, including metric charts and budget allocation models that make the standard visible. That is where expertise does the heavy lifting. If the person writing the prompt does not know the missing question, the answer can sound helpful and still dodge the real call. Jeremy keeps bringing the conversation back to benchmarks, accuracy, and when AI becomes dependable enough for serious marketing work. MMLU comes in as the original pressure test, with curated questions used to compare models. MMLU Pro raises the bar with 12,000 questions across biology, business, chemistry, comm sci, economics, engineering, health, history, law, math, and other domains. It gives marketers a way to watch whether models are improving across actual subject matter, not just sounding smoother. ARX 0.3 gets the room's attention. The model is described as ranking above Claude, Graw, and GPT-4-0, even though it is hard to find or use directly. That odd gap becomes part of the episode's point: familiar models may not stay at the top for long. Accuracy still sets the limit. A top score around 0.7824, framed as roughly 78 percent, makes the promise feel real while keeping the hype in check. The marketing lesson lands cleanly: stronger AI adoption depends on sharper prompts, clearer examples, better templates, and leaders who know where the answer needs scrutiny. Embrace the tools, but keep a hand on the wheel.

As heard by us

Good AI advice gets concrete fast when marketing leaders stop accepting vague answers.

AI is the backdrop, but judgment is the point. This episode keeps returning to a simple habit: better questions lead to better answers, especially when templates, metrics, and budget choices are on the line.

Read the full review in PlayNext →

Why you'd press play

You want AI advice that holds up when the budget and the board ask for specifics.

Read the full recommendation in PlayNext →

Listen to the show on

Apple Podcasts Spotify

Play clips from this episode More from Marketing Trends