Serendipity requires both an unexpected observation and a mind prepared to recognize its significance.

AI can surface connections, but engineering the conditions for discovery changes the accident itself.

Once the unexpected is designed to be found, what remains may be useful but is no longer quite serendipity.

I'll bet that Alexander Fleming wasn't thrilled to find mold growing in one of his laboratory dishes in 1928. Contamination generally isn't something scientists want or even celebrate.

But Fleming did notice something unusual. And I think that word is important. The bacteria surrounding the mold weren't growing. What he noticed helped give the world penicillin and transformed medicine. The zone of inhibition became a zone of discovery.

Fleming wasn't looking for penicillin; he was noticing something—something that wasn't supposed to be there at all. I wonder how many important scientific discoveries over time have emerged from that ability to see something new in what first appears to be a mistake or an irrelevant artifact.

About a hundred years earlier, Louis Pasteur offered an observation that nicely aligns with Fleming's observation: "In the fields of observation, chance favors only the prepared mind." Clearly, Pasteur wasn't just celebrating luck; he was describing the dynamic between an observation and the ability to recognize the significance.

Today, artificial intelligence is adding an interesting twist to what is observed and interpreted. AI is becoming very good at finding answers, but as we move more "frictionlessly" from question to answer, I wonder what happens to the unexpected bumps we encounter (and might miss) along the........

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