When your AI emails my AI

Delegating an email reply or a debate response to an AI comes at a cost: the machine does not reason or hold opinions, it copies and pastes what already exists. The value of human interaction, including disagreement, is lost when nobody applies their own judgment.

There is a scene that repeats itself in offices around the world and sums up the moment we are living through. Someone sends a formal email requesting preliminary statistical reports for a meeting. The person in charge of replying lets their virtual assistant read the message and respond. What comes back is neither a report nor an excuse: it is the textbook definition of what preliminary reports are and in which situations they are usually requested. An impeccable, empty text, straight out of a language model.

## The email that ended up projected on a three-meter screen

The reply was read aloud during the meeting, in front of the general manager and the direct supervisor of the person involved, and was projected onto the room's screen, more than three meters wide. It was the sender of the original email who put it up there. The anecdote is real and carries a lesson: AI cannot tell the difference between answering and pretending to answer.

That is the first practical problem. A generative virtual assistant produces plausible text, not useful text. If you ask it to respond to a specific request, it will hand you a generic explanation of the request. And if nobody reviews it before sending, embarrassment is only a matter of time.

## A forum without humans arguing is not a forum

The second scenario goes deeper. In any discussion community, the value does not lie in everyone agreeing. It lies in well-argued disagreement. When someone with experience challenges you, they show you the weak points of your argument and shake your certainties. If those certainties withstand scrutiny, they come out stronger. That is what turns a discussion into learning.

If participants start posting AI-generated replies, that mechanism breaks down. The machine does not reason or form its own opinions: it copies and pastes those of others. The result is a forum where nobody thinks, they only transcribe. The conversation becomes an exchange of summaries.

## The temptation to give up your own judgment

What is striking is that AI is already being used to summarize threads and add a layer of supposed maturity to debates that, without it, are pure chaos. The summary sounds professional, orderly, even interesting. Then you step in and find the usual: outbursts, foul language and a lack of culture. But at least it is honest. Some people prefer that to a machine thinking on their behalf.

The question that remains hanging is not whether AI can write an email. It can. It is whether we want it to write it for us when the answer matters. A virtual assistant is fine for repetitive, low-risk tasks. For everything else, it is best to read, think and reply yourself. Even with spelling mistakes.

## Key points

- A work email answered by an AI was read aloud in front of the general manager and the direct supervisor of the person who sent it, and projected onto a screen more than three meters wide.
- The generated reply merely defined what preliminary reports are and when they are requested, without providing any actual data.
- Generative language models do not reason or form their own opinions: they reproduce text written by others.
- The value of a discussion forum lies in argued disagreement, which forces you to review your own beliefs.
- Delegating a debate reply to an AI removes that mechanism and leaves the conversation as an exchange of summaries.