Let’s break it down with some real-world examples. And because life’s too short to be dry and boring, let’s have some fun with it.
1. Undermining Authority and Expertise
Carlos = Tech Genius with an Accent
Carlos’s Ideas + “American” Accent = Ignored
Same Ideas + Colleague with No Accent = Suddenly Brilliant
Poor Carlos. He’s a mid-level manager in a tech firm, always having to repeat his ideas in meetings. Despite his stellar track record, his suggestions don’t get traction until a colleague with a more “American” accent chimes in. It’s not that his coworkers are intentionally dismissing him—they probably don’t even realize it. But that’s unconscious bias at work, folks! (And no, Carlos isn’t just being paranoid)
And it doesn’t stop there. Carlos often hears comments like, “Wow, your English is really good!” or “You’re so articulate for someone from Mexico.” These microaggressions, though seemingly benign, subtly undermine his authority and serve as constant reminders that he’s seen as different—an outsider.
2. Perceptions of Assertiveness
Sarah = Decisive and Confident
Sarah’s Assertiveness ➟ Men: Confident Leader ➟ Sarah: Intimidating? Overbearing?
Male Colleague’s Assertiveness = HERO
Meet Sarah, a seasoned pro who’s got the assertiveness thing down pat. But here’s the twist: when she’s assertive, people say she’s “intimidating” or “overbearing.” Her male counterparts? They get pats on the back for being “strong leaders.” Classic double standard, right? Unconscious bias strikes again!
But it’s not just about perception—Sarah often gets hit with microaggressions like, “You’re really aggressive, aren’t you?” or “You should smile more.” These comments, wrapped in a veneer of concern, are actually attempts to box her into a stereotype of how a woman “should” behave.
3. Exclusion from Informal Networks
Ravi = Young Professional After-Work Drinks + Weekend Golf + Impromptu Lunches
Ravi: “What, I wasn’t invited?”
Ravi’s got talent and potential, but there’s one problem: he’s not in “the club.” You know, the informal gatherings where critical info and opportunities are shared. His colleagues don’t consciously exclude him—they just gravitate toward those who look like them or share similar interests. The result? Ravi’s left out, and that invisible barrier to success just got a little higher.
And to add insult to injury, Ravi often hears things like, “We didn’t think you’d be interested” or “You wouldn’t get it, it’s a generational thing.” These microaggressions not only exclude him from valuable networking opportunities, but also subtly signal that he doesn’t belong.
4. Age Bias
Joan = 55-Year-Old Marketing Guru
Joan’s Ideas on Social Media ➟ “Is she really up-to-date?”
Liam = Fresh Graduate
Liam’s Ideas ➟ “You’re just too young to get it”
Age bias hits both ends of the spectrum. Joan, the 55-year-old marketing exec, gets side-eye when she talks social media strategy. Meanwhile, Liam, fresh out of university, gets patronized because of his “lack of experience.” Both are on the receiving end of some serious unconscious bias, proving that you can be too old and too young—at the same time.
Joan might hear, “You’re pretty tech-savvy for someone your age,” while Liam gets, “You’ll understand when you’re older.” These microaggressions diminish their contributions and reinforce stereotypes that have nothing to do with their actual abilities.
5. Physical Appearance Bias
Michelle = Plus-Sized Law Associate
Michelle’s Performance ➟ “Wow, she can keep up!” + “Have you thought about your diet?”
Michelle’s new to the law firm and already dealing with assumptions based on her appearance. Whether it’s surprise at her physical stamina during team-building activities or unsolicited comments about her diet, these microaggressions aren’t just annoying—they’re a sign of unconscious bias that can make the workplace feel hostile.
Comments like, “You’re surprisingly agile,” or “Have you tried this new diet?” are microaggressions that reduce Michelle’s identity to her physical appearance, ignoring her professional capabilities and making her feel judged rather than valued.