When AI can produce a ten-page analytics report, spin up a data pipeline, or generate a plausible infrastructure assessment in minutes, a question starts nagging at everyone running a professional services business: what exactly are clients still paying for?
In Episode 9 of Eventual Consistency, Jason Bradwell and Ross Katz tackle that question from two different angles, Ross from the data services side, Jason from the marketing agency world. They find that the answer has almost nothing to do with AI capability, but has everything to do with three things: whether a client can tell if the work is right, whether you can recover when it goes wrong, and whether the work compounds on a foundation that actually holds.
Ross introduces a framework for thinking about where AI genuinely displaces expertise and where it doesn't, with the verifiability test, the recoverability test, and the compounding test.
They also dig into the trust problem that's quietly gotten harder for service providers. When a plausible-looking document can be prompted into existence in seconds, the signals clients used to rely on to assess trustworthiness such as a well-produced deliverable or a polished proposal have depreciated fast.
The episode closes on a popular discussion on the build vs. buy equation in an AI-accelerated world. Why "I can build it now" is not the same as "I should build it", and whether the heavily subsidised pricing of today's AI tools represents a genuine future risk or an overblown concern.
Key topics covered
> What the collapsing agency pyramid means for the future of professional services
> Why boutique expertise becomes more valuable, not less, as AI handles the general case
> The specification cost problem: the more specific your need, the more deeply you have to engage to get AI to meet it, which is exactly where domain expertise lives
> The iron triangle illusion: why AI is conditioning clients to expect fast, cheap, and good simultaneously and why the cost just shifts to the future
> Value-based vs. time-and-materials pricing in an AI era: what the research says, and why business model stickiness is a real constraint
> Whether subsidised AI pricing is a ticking clock or an overblown concern
About the hosts
Ross Katz brings a background in analytics and data strategy, working with companies to cut through the noise and focus on what actually drives business value. With experience spanning industries such as e-commerce, education, biotech, and finance, as well as the evolving landscape of AI-enabled work, he focuses on the intersection of data capabilities and business outcomes. He's particularly interested in how shifts in technology change not just what's possible, but how people think about and use data in their daily work.
Jason Bradwell is a seasoned B2B marketing leader, founder of B2B Better and hosts Pipe Dream, where he explores how modern B2B companies can build media and marketing strategies that drive real revenue and audience growth.
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