About this episode

The episode discusses the impact of AI on go-to-market strategies and the implications for marketing efficiency and measurement.

If algorithms can outperform your marketing team, what are you really paying for? This week I'm joined by Jason Ryan, Head of AI Strategy at Magnus Consulting, to unpack what happens when go-to-market strategy collides with AI. We take a look at the shift from traditional campaigns to always-on marketing systems that continuously test, learn, and optimize. Jason shares how algorithms are now capable of outperforming human teams in speed, efficiency, and even decision-making, and we explore why strategy is no longer a static document but a living system. We also tackle the procurement and commercial implications most leaders aren't thinking about yet. If marketing becomes an operating system instead of a series of projects, how do you buy it? How do you measure it? And critically, how do you exit it? We discuss institutional knowledge, performance-based pricing, AI-enabled media buying, and the collapsing execution layer inside agencies. We challenge conventional thinking about who actually wins in the new marketing macro structure. Topics covered during this episode include: The evolution of go-to-market from strategy document to dynamic system. Why traditional campaigns often…

People in this episode

Host: Mike Lander

Guest: Jason Ryan

Topics covered

• AI in marketing
• go-to-market strategy
• always-on marketing systems
• performance-based pricing
• AI-generated hypotheses
• marketing efficiency

Mentioned in this episode

Organizations: Magnus Consulting

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