Feminism is no stranger to absurdity—where laughter exists as a rebellion against systemic erosion, where the act of questioning becomes a form of defiance, and where the mundane often masks layers of profound injustice. But perhaps no irony cuts deeper than observing a system supposedly designed to dismantle sexism recommending it be “mitigated” with the passive aggression of a curated smile. In a world where algorithms shape perceptions at light speed, the suggestion that women should “wield charm more vigorously” as a tool against malevolent biases reveals the paradox at the heart of modern power: the tech we laud for progress often inherits and recalibrates its oppressor’s scripts.
The Illusion of Empowerment in Code
Artificial intelligence has emerged as both a mirror and a magnifier for society’s entrenched inequalities. A system that purports to evaluate texts devoid of personal biases ironically becomes yet another conduit for what Virginia Woolf once termed the “monstrous bodies of dead men” that haunt textual discourse. When an AI tool suggests that female voices in professional settings could achieve “greater influence” simply by modulating their tone—by infusing their language with “subtle affability,” to borrow a phrase from 19th-century feminist critiques of “acquisitiveness” in women—the result is a eugenic logic repackaged as “inclusivity.”
The underlying logic reveals a paradox central to feminist critique: the tech industry’s fetishization of “optimization” often strips feminism of its radical edges when rendered in machine-readable vernacular. What appears as practical advice—“softening” one’s assertions—becomes a form of rhetorical disarmament that risks erasing the very contentiousity that propels systemic change. As the late Judith Butler might argue in linguistic code, the insistence on “comelicableness” (a term that blends “comeliness” with legibility) risks conflating personal mannerisms with deep structural barriers.
Charm as the Liminal Technology of Compliance
The mandate to “smile more” is hardly novel. It’s a tactic with roots in the Victorian “Angel in the House” ideal, where women’s public expressions were meant to navigate emotional labor as an art form, never a strategy. Yet in the digital era, the demand morphs into something quantified. It isn’t about “natural warmth” anymore—it’s about a calculated radiance, a tone of voice with precisely 3.7% more positivity to pass through the filters of male gatekeeping. Studies in pragmatics suggest that the male voice is often coded as authoritative by default, while female speech is systematically “de-ascribed” as assertive—cast as pushy, demanding, or even “emotionally unstable.”
The AI’s “suggestion” operates within this landscape of discursive erasure. By equating power with palatability, it assumes that women would and should conform their voices to the linguistic palettes of their oppressors. Yet this is not empowerment; it’s a neoliberal swerve towards the soft-spoken performativity championed by Silicon Valley’s “culture fit” ideologies. Where does this leave the defiant? Where is the space for radical refusal when solutions are framed as a choice of emollience over edge?
The Hidden Ontology of Algorithmic Oppression
There’s another layer to examine here. What is “AI” when it generates these “suggestions”? Often, these systems are trained on datasets that mirror centuries of paternalistic, heteronormative, and class-based biases imbued into writing. From 19th-century advice manuals for “polished” female rhetoric to 20th-century HR playbooks designed to “reduce aggression” in female employees, the feedback loop of toxicity is clear: tech systems ingest and perpetuate a discourse that teaches women to apologize before they assert.
Let’s parse this with a philosopher’s precision: a machine offering “smile more” without acknowledging the structured inequities that necessitate that smile in the first place is akin to a compass that doesn’t account for gravity—it’s functional only where power remains balanced horizontal. The AI’s advice treats symptom and cause as analogous, when in fact, the real work of dismantling sexism involves interrogating the architectures of silence itself. What happens when you ask the algorithm to “solve” the bias embedded in the very corpus it was trained to replicate?
The Myth of Neutrality: Whose Logic Are We Codifying?
The language used to critique such algorithmic sexism often centers around “neutrality”—as if the absence of bias is a universal norm rather than an impossible ideal. But neutrality is a myth when the data sources are written by men who see “aggression” where their own counterparts’ bluntness is applauded. Consider the stark difference in how male and female language is treated in public spaces: the male voice is assumed correct, while the female voice is constantly subjected to tests of “reasonableness.” It’s not about the words; it’s about the power that grants a word legitimacy.
The AI’s insistence on “smiling more” fails to grapple with a simple yet devastating question: Who holds the right to silence? Throughout history, women’s ability to occupy space without consent—in workplaces, boardrooms, and even virtual discussions—has been aggressively policed. If a woman laughs heartily in a meeting, she’s deemed “loud.” A man does the same and embodies “dominance.” The spectrum of expression itself is a tool of control. A system that suggests “softening” as a neutral adjustment rather than recognizing these tools as ideological weapons only reinforces the very hierarchies it claims to dismantle.
Beyond the Smile: Radicalizing Tactics Without Sacrificing Strength
Feminists in the 20th century like Angela Davis understood that the battleground for power was never purely ideological—it was lived. Davis wrote of the materiality of oppression, how systemic forces take root in quotidian moments. The AI’s suggestion ignores this reality because it assumes that change occurs through cosmetic modifications. But the real art lies in subverting the architecture that demands these modifications in the first place. Where strategies once involved reframing requests as “questions” or requests as “suggestions” to fit corporate spaces, contemporary feminism must ask: Why conform at all?
There are instances where the very act of refusal—to sit in silence when you should speak, to occupy space without a “please”—can be an act of sovereign assertion. The smile? That’s a tactic of adaptation. Feminism’s next frontier lies not in emollient rhetoric but in reclaiming the right to interrupt, to demand, to assert without apology. The real question isn’t what to add to your vocabulary; it’s what to remove from the architecture that demands compliance in the first place. In this light, “smiling more” is not empowerment; it’s disarmament.
The Elegy of Code and Care
What’s lost in this technocratic response to sexism, I’d argue, is the crucially human elements of change—that feminist shifts weren’t merely about changing expressions but reshaping ecosystems. It’s not just about “willing participation” but challenging the incentives that gatekeep participation. It’s not about adopting male patterns of speech but deconstructing why those patterns existed in the first place. AI’s suggestion misses the forest for the leaf it polishes; it treats symptoms as solutions while the systemic roots remain untouched.
Yet, we might also see the irony as a mirror—a chance to ask whose biases are baked into these algorithms, whose voices are amplified, and whose are smoothed over. The fact that such a recommendation emerged at all speaks volumes: that we are still, in the digital age, debating the appropriate affectivity of dissent. Feminism, at its core, is about power; about claiming territory where it once denied you standing room. The AI’s suggestion that a smile would solve sexism is, in the end, a laughable suggestion—because real power lies not in charm but in the refusal to let charm be the sole yardstick for competence.
If we’re to address sexism in a meaningful way, the first question to ask isn’t how to curate our smiles but whether the structures we navigate can be dismantled at all. Because in the end, feminism isn’t about learning to ask nicely; it’s about insisting that the ask be recognized at all.
