Women Are Already Running Frontier AI. They Just Need to Decide Who For.

The article argues that the perceived AI adoption gap between men and women has closed, but a new ‘authorship gap’ has emerged, where women lead operations and product development but often lack control over the ultimate objectives. It explores historical and mythological parallels to explain how women’s contributions have been systematically minimized, even when they hold significant operational power.
The true path forward, the author contends, is not about adopting AI faster or acquiring more technical skills within existing frameworks, but about women claiming authorship and defining their own objectives and values for AI development.
Ultimately, the piece calls for women to move beyond playing within established ‘king’s games’ and to leverage their inherent capabilities to build AI that serves humanity, not just corporate or individualistic ambitions.

• The AI adoption gap has closed, with women’s usage nearly matching men’s, but this masks a deeper ‘authorship gap’.
• Women are disproportionately placed in leadership roles during crises (‘glass cliff’), but are also quietly running successful AI companies like Anthropic during periods of growth.
• The article uses historical and mythological frameworks (chess, orisha) to illustrate how women’s power has been present but often unrecognized or confined.
• True AI sovereignty involves women defining their own objectives and values for AI, not just adopting tools or skills within existing male-dominated narratives.
• The ‘caring economy’ and women’s unacknowledged cognitive labor are foundational to AI, yet excluded from traditional economic measures.
• The current AI industry is dominated by a ‘single story’ of the lone male genius, which needs to be challenged by recognizing the ‘multitudes’ of contributors.
• Women are urged to claim their authorship, move beyond performing predefined roles, and build AI that serves broader humanistic goals, not just corporate or competitive ones.
• The power lies not in owning compute, models, or data, but in owning one’s mind and choosing one’s own objectives.
  https://bender.layer3.press/articles/fb7a23a7-37a6-4281-9840-d00f5945fa95