What if the antidote to career burnout isn’t a new job, but a new structure? We sit down with Ruth Stevens - B2B marketing veteran, educator, and globe-trotting “academic tourist” - to unpack how a portfolio career can turn chaotic consulting into a resilient, joyful life. Ruth walks us through the system she built: teaching that provides rhythm and community, paid writing and research that monetize curiosity, and board work that expands perspective and credibility. Each lane feeds the others, creating a flywheel where ideas sharpen and opportunities compound.

Then we pivot into the AI frontier with clear eyes. We talk about using large language models as thought partners rather than ghostwriters, why unedited outputs are risky in classrooms and courtrooms, and how brand voice can erode when teams lean on generic prose. We dig into the tough questions: who owns the data, what do energy-hungry data centers mean for communities, and can policymakers keep pace with deepfakes and model misuse? You’ll hear a chilling simulation anecdote that illustrates why safety work and governance matter - and how product teams can test, monitor, and document AI responsibly.

It’s not all doom. We spotlight hopeful applications like accessible productivity tools and low-cost therapeutic support, and we outline a practical approach: automate drudgery, keep humans on judgment and narrative, and build lightweight guardrails before regulation lands. If you’re a solo practitioner, marketer, or leader trying to navigate AI while designing a career you actually want, this conversation offers a map and a push. Subscribe, share with a friend who needs a reset, and tell us: which part of Ruth’s playbook will you try first?

Shoppers aren’t average anymore—and our stores shouldn’t be either. We dig into why treating each location as a living ecosystem beats blanket strategies, especially when consumer signals are split between cautious and confident spending. With Justine Melman, CMO at Optimum Retailing, we explore how connected data and AI-powered planograms turn messy, stressful environments into calm, intuitive spaces that invite discovery and drive conversion.

Across the conversation, we unpack the tension between shopper stress and in-store enjoyment, revealing why cluttered shelves and noisy signage push people away while clear wayfinding and focused merchandising pull them in. We talk through the rise of impulse purchases as a form of self-care, and how retailers can enable those moments without overwhelming the senses. Justine shares how localized insights—traffic patterns, heatmaps, weather, and nearby events—feed dynamic planograms that adapt assortments, facings, and features to each store’s real shoppers, not theoretical personas.

You’ll hear concrete examples, including a telco that used Realogram to generate automated, store-specific planograms and saw up to a 17% lift in sales—proof that dynamic beats static when executed at scale. We also tackle the category gap: grocery and health are resilient, while apparel, electronics, and restaurants fight for discretionary dollars. The unlock is emotional relevance. By framing “nonessential” items through practicality and personal impact, brands can turn nice-to-have into must-have in ways that feel authentic and local.

If you’re a retail leader ready to replace averages with precision, this is your playbook: use data to sense, AI to decide, and simple design to soothe. Subscribe, share with your team, and leave a review with one change you’ll make to localize your stores this quarter.

Forget churning out more content; the real advantage now is coaching intelligent systems to deliver work that still feels unmistakably human. We sit down with Johann Wrede, CMO of UserTesting, to unpack why the modern marketing leader must operate like a business generalist, not a channel specialist—and how AI raises the floor on execution while threatening to flatten differentiation.

Johann traces an unconventional path from engineering to sales to marketing to the C-suite, revealing why integrated thinking beats siloed teams and how curiosity has been the throughline in every step. We dig into the shift from outputs to outcomes, the growing responsibility CMOs have across finance, talent, and culture, and the practical ways to build teams that prompt for critique, pressure-test assumptions, and use AI as a typist and analyst while protecting the origin of ideas.

The conversation gets tactical: how to detect and avoid “common denominator” content, when to bet on in-person experiences to earn authentic digital lift, and why brand voice matters even more when a bot handles the first touch. Johan shares lessons from UserTesting customers who test tone, empathy, and clarity before deploying AI into apps and contact centers, aiming for helpful, on-brand interactions without pretending the machine is human. If you’re rethinking your marketing operating model—designing briefs for agents, calibrating prompts for better judgment, and building tight research loops with real people—this one maps the path.

If this resonated, follow the show, share it with a teammate who’s retooling their workflow, and leave a quick review telling us how you’re coaching AI for better outcomes.