AI promised clarity. Instead, it delivered information overload.
In this episode, we unpack what happens when AI gives ecommerce teams more data than they can reasonably act on, dashboards multiplying, forecasts diverging, tests contradicting each other, and decisions getting harder instead of easier.
Taylor and Andrew talk through:
Why AI surfaces problems faster than it solves them
How “more insight” can actually paralyze operators
The limits of forecasting, incrementality, and optimization at scale
Where human judgment still matters, and always will
What ecommerce leaders should focus on when the data stops agreeing
This isn’t an anti-AI conversation. It’s a reality check.
Because the competitive advantage isn’t knowing more, it’s knowing what to ignore, what to trust, and when to act.
Show Notes:
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