Your Boss Is An Algorithm
The code is watching.
Not in some distant sci-fi future, but right now, today, in your workplace. Algorithms are making decisions about your performance, your potential, and your future.
They’re tracking your keystrokes, monitoring your meetings, analyzing your emails.
They’re scoring your productivity, measuring your impact, calculating your value.
The annual review with your human manager? That’s just theater. The real evaluation happened months ago, in milliseconds, inside a black box of mathematical models.
We didn’t vote for this. We didn’t agree to it. But here we are.
The algorithmic boss never sleeps. Never takes vacation. Never plays favorites (or does it?). It processes terabytes of data about your work patterns, communication style, and output metrics.
All to answer one question: Are you optimal?
But optimal for what? For whom?
The algorithm doesn’t care about your sick child, your brilliant but unconventional approach, or the intangible ways you lift your team’s spirits.
It can’t measure wisdom. Can’t quantify judgment. Can’t compute the value of a well-timed kind word.
Yet its authority grows.
Each decision it makes feeds back into its models, reinforcing its power, cementing its role as the true arbiter of workplace value.
We’re not just working with AI anymore. We’re working for it.
The irony? The humans who created these systems often don’t fully understand how they work. The decisions are increasingly inscrutable, hidden behind layers of machine learning complexity.
But here’s the real question:
When did we decide that human potential could be reduced to a set of variables?
When did we accept that our professional worth could be calculated by code?
The algorithm is watching, measuring, deciding.
And maybe, just maybe, it’s time we started watching back.
Because your next promotion, your next project, your next opportunity – they’re not just being shaped by human judgment anymore.
They’re being determined by lines of code that can’t see the full spectrum of human capability.
The code is watching.
But who’s watching the code?
