Robert TaFounder & CEO, Clarity · Building Hyper-Personalized Agents

The Only AI Adoption Data That Matters Is Yours

30 May 2026 · 1 min

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1:28

In this segment, the speaker addresses parental fears that AI will eliminate future job opportunities for their children, highlighting the anxiety that leads some parents to avoid AI adoption. He then examines the widely circulated claim that women use AI less than men, noting public figures like Reese Witherspoon advocating for women to adopt AI and the backlash they face. Emphasizing the need for evidence, he urges organizations to collect their own, disaggregated AI adoption data—by gender, generation, and other demographics—to verify whether such disparities truly exist within their workforce. He cautions that external statistics may be biased, as his own client organizations are heavily AI‑invested and prioritize well‑being and inclusion, which could explain the lack of observed gender gaps in his experience. Ultimately, he argues that understanding internal data enables the creation of targeted inclusion strategies that address the specific needs of under‑represented groups.

Chapters

do my kids still have a future? I've heard parents say, I don't want to use AI because I don't want to advocate for a future where my kids don't have jobs or they don't have good jobs. And again, like, these are soundbites that I have gathered, and my encouragement to all of you is to gather your own and actually talk to people, because there's a lot of stats out there, like, women don't use AI as much as men. And then, like, even Reese Witherspoon is advocating for a woman to use AI to not get left behind. And there's all kind of backlash on her. And like, again, gather your own data because in the organizations I work with, when I looked at the disparity by gender, I actually don't see one. And perhaps, right, there's some bias in this data sample. The organizations that hire me obviously are very heavily invested in AI, and I also speak very loudly on, you know, well-being, inclusion. So they're not going to pick me if they don't care about those things. So perhaps there's a relationship there. But nonetheless, you have to know, are the female employees in your organization actually using AI less? Are they pushing back more? Or is there something that is out there? And maybe it's not just gender, maybe something else, maybe it's generation, but you have to understand your own data so that you can create a strategy that targets the groups that maybe need different help than the general population.