Differentiate instead of optimize
The internet is about to be flooded with AI influencers—polished personas producing unlimited content at machine speed. At first glance it looks impressive: beautiful posts, consistent branding, perfectly optimized captions. But the sheer quantity is already creating its own problem.
The instinct, especially for career searchers and professionals trying to stay visible, is to keep up.
Write more. Film more. Post more. If the algorithm is accelerating, then the logic says you should accelerate, too.
But humans will lose any game based on speed, volume, or algorithm optimization. It’s too overwhelming for content consumers to find accurate info under the layers of content-noise.
The same dynamic that’s happening with AI influencers is happening inside AI hiring systems: too much content that hurts the people on all sides of the equation. Job seekers rewrite the same résumé dozens of times hoping the latest version will stand out. Recruiters scroll through hundreds of applicants who look—at least on paper—nearly identical.
Everyone is going for optimization instead of differentiation.
If you feel stretched thin by the performance economy (on top of your job and life), there’s a reason: this isn’t a human pace, and there’s going to be more of it.
AI is infinite at the things that feel scarce to people:
attention
output
consistency
aesthetics
But it’s terrible at the human aspects that hiring managers actually need: judgement, discernment, and sense-making.
AI can describe experience, but it can’t interpret it. Current AI is a prediction machine that relies on pattern recognition. It doesn’t have:
Lived experience
Nuance in situations or content creation
Contradiction of feelings and how to connect them to a product, design, or marketing campaign
Capability to explain what multiple unrelated roles add up to over time
These are the components of a career story. And they remain fully human.
Ready to rebuild your story?
