

(332) Inclusive AI
Jul 29, 2025
In this engaging conversation, Susi O’Neill, a researcher focused on inclusive AI and the gender gap in workplace technology, lays bare the harsh realities of AI adoption. She highlights a significant 25% gender gap, with women often lacking AI training. Income disparities further exacerbate the issue, creating a widening skills chasm. The dialogue also critiques the unfulfilled promises of AI productivity, questioning whether organizations prioritize genuine innovation or merely speed. O’Neill warns of the risks of AI dependency, urging reflection on cultural biases embedded in technology.
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AI Adoption Gender and Income Gap
- Women use AI tools 25% less than men in the workplace despite having the same roles.
- Higher earners get significantly more AI training, worsening inequality in adoption and skills.
Social Conditioning Limits AI Use
- AI adoption struggles are rooted in social conditioning, notably 'good girl conditioning' that makes women avoid shortcuts.
- Leaders often push AI use without personally adopting tools, contributing to skepticism and resistance.
Slow, Safe AI Adoption
- Move AI adoption slowly and steadily; avoid forcing rapid transformations that cause backlash.
- Provide psychological safety so employees feel empowered to experiment and find their own AI efficiencies.