Women in the Loop
Women in the Loop is where I write about AI, work, voice, visibility, motherhood, and what it means for women to stay relevant without losing themselves.
- Indexed issues, last 90 days
- 3
- Latest publication
- Jul 27, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 6, 2026
Latest issues
The hidden cost of never having to think alone (opens the original)
Read excerpt
After years of teaching people how to use AI, I began to notice that I was becoming less willing to think without it. That realisation has forced me to step back and question what constant access to an artificial thinking partner might be costing us.The Slow AI movement and a documentary about “apocaloptimism” suggest there may be a path between embracing AI uncritically and fearing it completely, and that’s what I talk about here. —-<a class="image-link image2 is-viewable-img" href="https://sub
The myth of keeping up with AI (opens the original)
Read excerpt
<img alt="" class="sizing-normal" height="819" src="https://substackcdn.com/image/fetch/$s_!bvfd!,w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F84cad583-ad8e-4adf-b251-dd282d25b5ee_1672x941.png"
What 3 years of building an AI education business has taught me... (opens the original)
Read excerpt
I never planned to write this.This is not the kind of AI story I thought I would publish in this newly repositioned Women in the Loop newsletter. It is not a story about AI saving you $$$$, automating everything, or building a business while your children nap.It is a letter about what happens when a woman tries to redesign her work around her children, her expertise, her ambition, her income, and a technology that is moving faster than most of us can process.I think being “in the loop” is not ju
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.