The new red flag is fake AI productivity

Remote work changed one thing fundamentally: managers see the output, not the day.

That was already a trust problem before AI. AI makes it a bigger one.

It is now entirely possible to spend most of a day doing very little, ask an AI to generate a document at 5pm, and present it as the day’s work. The artifact looks polished. The thinking behind it may be empty.

This is not an AI problem. It is a work-ethic problem that AI has made easier to hide.

The red flags are recognisable once you know what to look for.

• A detailed end-of-day report the person cannot explain in a follow-up conversation.
• Meeting prep notes that clearly were not read before joining.
• A deliverable that answers the question nobody actually asked.
• Work that required no visible thinking, no iteration, no questions. Just output.

The tell is not the quality of the artifact. It is the absence of the reasoning behind it.

Great talent using AI looks different. It looks like someone who can say: here is what I tried, here is where I got stuck, here is where AI helped, here is what I checked, and here is what I still do not know.

That transparency is not a confession of weakness. It is the signal that the person owns the work. Not just the output.

The practical implication for hiring and managing in this environment is that the artifact is no longer enough as evidence.

The question is not just “did you produce this?” It is “can you walk me through the thinking?”

If the answer is no. If the person cannot explain the decisions, the trade-offs, the gaps. Then you have a polished output with nobody accountable for it.

AI did not create that problem. But it did make it cheaper to produce.

The people worth trusting are the ones who can explain the work behind the work. That has always been the real signal. Now it matters more.