Latest / The AI Adoption Podcast
A Reality Check on AI Diffusion
In this episode, I speak with Janusz Marecki, AI Partner at Ahrens, and the conversation cuts through the optimism that often surrounds AI.
Janusz sets out a clear position. Current AI systems have fundamental shortcomings. They approximate answers rather than produce deterministic outcomes. Every token carries a probability of error, and those errors compound as outputs grow. This is not a marginal issue. It is embedded in how AI systems work.
He also challenges a widely held assumption. AI systems are not continually learning from experience or new data. Once training stops, their knowledge…
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