In this episode of Signal and Noise, Brian and Andrew ditch the agenda and go full rant mode, recording from Andrew's hotel in Atlanta with no guest, no script, and no filter.

The topic is AI anxiety. Not the doom spiral variety, but the very real, day-to-day frustration of trying to stay current with a technology that moves faster than any organization can evaluate, approve, or implement. Andrew frames it as trying to build a robot underwater with one arm tied behind his back, in a wave pool, while the water keeps changing.

The conversation gets honest about what this looks like in practice, from juggling a growing personal stack of AI tools to navigating the very different constraints that come with using AI inside a company holding PII, client data, and SOC 2 compliance obligations. They land on a practical and surprisingly calming framework: stop chasing the best model and start building your processes in a model-agnostic way so your work survives the next wave of change regardless of which tool wins.

The episode ends with both hosts arriving at genuine excitement rather than dread, and an open invitation for listeners navigating the same thing to come on the show and talk through it.

Key Takeaways:

• Why AI anxiety is a real and shared experience for market research professionals right now, and why the pace of model releases makes organizational adoption feel nearly impossible to time correctly

• The case for being model agnostic and building AI workflows that do not depend on any single tool or provider, so your work survives the next wave of change

• Why the Anthropic report on AI exposure by industry means market research professionals should be excited, not threatened

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