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The Difference Between Automating Your Job And Making Yourself Redundant

By Nigel Guy · 2 min read

There's a specific anxiety that shows up the moment someone starts using AI to speed up their own job: if I automate the boring 80% of this role, what's left to justify having me? The instinct, understandably, is to quietly automate less than you could, or not mention it at all, to protect the appearance of being busy. That instinct usually protects the wrong thing.

The mechanism: the redirection ledger

1. List what you actually automated, specifically — the report that used to take three hours, the first-draft emails, the data pull that used to need manual formatting.
2. For each one, name what you did with the time it freed. Not vaguely — a specific second thing: took on a project that was previously deprioritised, went deeper on the part of the role that needs judgement, helped someone else with theirs.
3. Check the redirection is visible to someone else, not just true in your own head. If the only evidence of the freed-up time is that you felt less rushed, that's not yet something you can point to.
4. Say both halves out loud when it comes up — "I automated X, which freed up time for Y" is a complete, defensible sentence. "I automated X" alone invites exactly the question you're worried about.
5. Revisit the ledger periodically. A task worth automating six months ago might now need to be the thing you're deepening instead, as what counts as valuable work in the role keeps shifting.

What to skip

Skip automating quietly and hoping nobody asks — that strategy works right up until someone does ask, at which point silence looks like you were hiding it rather than improving it. Skip automating a task just because you can, if you don't have a real answer for the second half of the ledger; an automation with no redirection is just a task done faster, sitting next to the same amount of unclaimed time.

Guardrails

• This is a way to think about your own position, not a guarantee about what your employer decides to do with freed-up capacity across a team — that's a real risk this framework doesn't remove.
• How fast roles are actually changing because of AI varies enormously by industry and is still genuinely unsettled — treat any confident claim about "what AI means for your job," including elsewhere in this library, with appropriate scepticism and check it against your own situation.
• If the honest answer to "what did you do with the freed-up time" is "nothing yet," that's worth addressing directly rather than avoiding the question until someone else raises it.

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