Industry Reckoning or Restructuring? Starring Lenny Murphy | Signal & Noise Ep 27

In this episode of Signal and Noise, Brian and Andrew sit down with Lenny Murphy, one of the most recognized voices in the market research industry. As the founder of GreenBook, co-founder of the Insight Innovation Exchange (IIEX), and a Gen2 Advisors partner with deep roots in M&A and investment, Lenny brings a perspective that is equal parts historical lens and boots-on-the-ground reality.

The conversation covers the accelerating collision between artificial intelligence and the market research industry. Lenny reframes AI not as an apocalypse, but as a restructuring, drawing parallels to the printing press, the automobile, and the industrial automation of the 1980s. The discomfort is real, the displacement is real, but so is the opportunity.

The trio digs into where the industry has already been commoditized and where it went wrong, why the real asset in research has always been the connection to consumers, and how agentic AI is already reordering business models faster than most companies can respond. Lenny also shares a candid take on why many established firms are caught in the crosshairs, not because of a lack of talent, but because of a failure to adapt before the wave arrived.

The episode also touches on the future of live events and in-person connection, the upcoming IIEX conference in Washington, DC, and a new IIEX West launch in San Francisco, with Lenny making the case that human gatherings become more valuable, not less, as automation takes over routine work.

Key Takeaways:

• Why Lenny views AI as a restructuring event comparable to the printing press and industrial automation, not an ending

• How the research industry commoditized its own most valuable asset and what that means now

• Why the shift from process-based pricing to impact-based pricing is both necessary and overdue

• What the "reckoning still to come" looks like for established firms that have not adapted fast enough

• Why live events and in-person connections are poised to become more critical in an AI-driven world

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