Artificial intelligence has introduced a powerful new currency into the workplace: time. A task that once consumed an afternoon can now take minutes. Reports can be summarized, emails drafted, spreadsheets analyzed, presentations structured and research organized with unprecedented speed.
But there is a principle that should accompany every productivity gain: do not use AI to save yourself time by wasting someone else’s. The temptation is understandable.
When an AI system can produce an answer instantly, it becomes easy to forward that answer without checking it, send a poorly constructed draft for someone else to repair, or generate hundreds of words when five would have been enough.
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The person using AI technically saves time. Everyone around them, however, inherits the cost. This is where AI exposes an important truth about work: productivity is not simply about how quickly an individual completes a task. It is about how efficiently value moves through an organization.
Consider an employee asked to prepare a market briefing. Instead of researching the subject, understanding the audience and verifying the relevant information, they ask an AI model to produce a generic report and send it directly to their manager.
The employee may have saved two hours. But if the manager spends another hour correcting factual errors, removing irrelevant material and asking for the analysis that should have been there in the first place, the organization has not gained an hour. It has merely transferred the work.
The same principle applies to communication. AI can make people prolific without making them useful. A five-line question can become a 700-word message. A straightforward meeting can generate pages of artificial notes.
A simple decision can become an elaborate presentation. When every person uses AI to increase their own output without considering the recipient, organizations risk creating an economy of information overload.
That is why the most valuable AI users will not necessarily be those who generate the most content. They will be those who understand where human judgment ends and automation begins.
The second principle is equally uncomfortable: if your boss does not understand the value you bring, you may have a problem—and the problem may not be your boss.
AI is forcing workers to confront the difference between performing tasks and creating value. If your contribution can only be described as completing repetitive assignments, automation will inevitably raise questions about how much of that work actually requires a human being.
But if your contribution involves judgment, relationships, strategic thinking, creativity, institutional knowledge or the ability to turn ambiguous problems into useful decisions, AI can amplify that value.
This does not mean every misunderstanding between an employee and manager is the employee’s fault. Managers can fail to communicate expectations, recognize contributions or understand specialized work. But professionals also have a responsibility to make their value visible.
The AI era therefore demands a different definition of productivity. The goal is not simply to work faster. It is to create more value with less unnecessary effort while reducing the burden placed on everyone else.
AI should eliminate friction, not redistribute it. The best use of the technology is not to make one person look extraordinarily productive. It is to make the entire system work better. That may become the real golden rule of AI: use machines to save time, but never forget that everyone else’s time is valuable too.