Everyone's mad at Reese Witherspoon because she told women to learn AI
The gap between “learn AI” and “learn to think critically about AI” is small in wording and enormous in practice.
TL;DR: While Reese Witherspoon's AI message faced backlash, 2026 data confirms women face 3x more automation risk than men. The solution: shifting from “keeping up” with AI to critical engagement with it.
When Reese Witherspoon posted an Instagram video on April 15 telling women it was time to learn AI, I shared it as soon as I saw it. A celebrity with 25 million followers naming the AI gender gap and telling women it’s urgent? I was into it.
She’d polled her book club and only 3 out of 10 women had used AI. “That means 70% of that group is not keeping up,” Witherspoon said, before promising to learn everything she could and bring her audience along.
The pile-on was swift.
Authors from her book club community came for her. Roxane Gay posted a blunt dismissal on Threads. Literary agent Eric Smith called it “so disappointing” from someone who champions books. Screenwriter Charlene Bagcal called it “genuinely infuriating.” Commenters told her to start her AI education with data centres, energy consumption, and the environmental cost of running AI.
Witherspoon doubled down with follow-up posts citing research: women’s jobs are 3 times more likely to be automated by AI (true), and women use AI 25% less than men (also true).
This isn’t the first time Witherspoon advocated for women to adopt AI. In September 2025, she told Glamour:
“It’s so, so important that women are involved in AI…because it will be the future of filmmaking. And you can be sad and lament it all you want, but the change is here. It will never be a lack of creativity and ingenuity and actual physical manual building of things. It might diminish, but it’s always going to be the highest importance in art and in expression of self.” - Reese Witherspoon
I agree: the change is here.
What’s in our control is how we shape it from now on.
What’s the AI automation risk for women in 2026?
According to the International Labour Organization (ILO), 16% of women’s occupations fall into the high-risk category for AI automation, compared to 3% of men’s occupations.
Overall, 29% of jobs in female-dominated fields face significant exposure.
The ILO also confirmed in March 2026 that 29% of jobs in female-dominated fields face significant AI exposure, versus 16% in male-dominated ones. At the sharpest end, 16% of women’s occupations are in the most vulnerable category. For men, it’s 3%.
The data Witherspoon cites is real, but the backlash is telling us something we need to hear.
I wrote about similar stats two weeks ago. And about how women are penalized when they use AI and overlooked when they don’t.
I get backlash too. Recently, (only) men have come out of the Substack woodwork to tell me that I’m a “charlatan,” and that I am “whining endlessly” in response to my writing about AI. So I take some anti-AI comments with a grain of salt.
But let’s look into why Reese caught so much flak, because some of the reasons are valid.
Books, NFTs, and the environment: The anatomy of a tech backlash
It’s easy to see: rich privileged celebrity tells regular women to adapt or be left behind, which can be problematic.
But there’s more to it:
She told her audience to embrace the thing eating their work. Witherspoon built her brand on books and storytelling. Reese’s Book Club has shaped reading culture for millions of women. Her audience skews toward readers, writers, and creatives. These are people who’ve watched AI scrape their work for training data without consent or compensation. The question of whether that's legal remains open: the New York Times' copyright lawsuit against OpenAI is still working its way through federal court. When she says “learn AI,” they hear “get comfortable with the technology cannibalizing your livelihood.”
The environmental critique is real. Several of the most-liked comments on Witherspoon’s post were about AI’s ecological footprint, which is a legitimate concern. For a lot of Witherspoon’s audience, ignoring the environmental cost of AI reads as selective enthusiasm.
She promoted NFT use. In 2021, Witherspoon partnered with World of Women, an NFT collective, and tweeted that “in the (near) future, every person will have a parallel digital identity.” As far as I could find in my research, this wasn’t a scam, it’s a for-profit company that was trying to get women involved in NFTs. The pattern (celebrity enthusiasm for emerging tech framed as empowerment, delivered to an audience that stands to lose from it) triggers skepticism. Her audience is questioning whether “this is the future, get on board” is good advice. This is something we all have to grapple with, and many people aren’t in agreement about it.
It’s Girlboss fatigue. Witherspoon’s framing (women need to step up, learn the tools, and close the gap through effort) sounds like the Girlboss movement that dominated the 2010s. Lots of women are over it. They “leaned in”, raised their hands, and asked for the promotion. Nothing changed. “Learn AI” might sound less like empowerment and more like asking women to run faster on a productivity treadmill.
A lot of women have stopped trusting the “empower yourself” playbook because they’ve watched it fail to change the systems around them.
You can read my full article about this:
My article argues that women’s hesitancy around AI isn’t irrational. Women care about ethics and those instincts are good. But if we stay on the sidelines while others build fluency, the gap in our influence and ability to shape the effect that AI has widens. And it’s already happening.
From "Girlboss" to critical thinking
After the pile-on, Shae Omonijo, a Harvard PhD candidate and humanist who studies critical thinking in the age of AI, posted a reel responding to Witherspoon with the caption “Hiiii Reese Witherspoon! Let’s collaborate!” Omonijo, who approaches AI from a humanities perspective, said she has resources on how to use AI “not just for the sake of using it, but in truly collaborative and beneficial ways.” Witherspoon responded with: “I LOVE THIS.”
Omonijo’s work, which includes a YouTube series and podcast called Critical Thinking in the Age of AI, a critical thinking chatbot she built, and workshops on human-first AI adoption, starts from a different premise than “keep up or get left behind.” She teaches people to think clearly about what AI can and can’t do, so they engage on their own terms and keep their agency.
For more on Omonijo’s approach, read her essay “Something Bigger Than AI Is Happening,” which argues that AI is accelerating a longer decline in critical thinking.
The structural fix for AI inequality
Managers who actively encourage women to experiment. When this happens, adoption rates equalize. Companies can track who’s using AI and who’s getting credit for it. Lean In’s data on the recognition gap (men praised, women penalized, for identical tool use) shows a management issue that can be corrected.
Reskilling programs, education pipelines that don’t lose women at every stage, and regulation that accounts for AI’s uneven impact are all part of the answer.
In Canada, that means asking whether our national AI strategy is reaching the women most affected by AI displacement, or whether it’s funding innovation infrastructure that benefits a workforce that’s 78% male.
Female representation in tech is declining in some countries, and AI leadership remains overwhelmingly male. Workplace culture is the main reason women leave tech jobs, a March 2026 McKinsey report shows.
The people building AI tools shape who they serve, and right now, half the population is hardly in the room.
How you engage with AI matters
If you’ve been sitting out the AI conversation, getting involved now is worth it. Not because Reese said so, but because the adoption gap is shaping who gets promoted and hired. And because data shows that when women do engage with AI, not only does it accelerate their careers, it results in less biased AI tools that are better for society.
Omonijo’s approach (think critically, maintain your agency, don’t adopt tools for the sake of keeping up) is a better entry point than “get on board or get left behind.” If you read my earlier pieces on women and AI, you’ll find a more detailed breakdown of the data and practical places to start.
Witherspoon’s instinct was right, but the framing could have been more thoughtful. Women should engage with AI, and our institutions need to do the work to make our engagement possible, supported, and rewarded.
Taking action: From individual effort to structural change
If you’re ready to advocate for a fairer AI future, here’s how to pivot from individual upskilling to institutional accountability.
For your workplace
Don’t learn AI in a vacuum. Ask your leadership and HR departments these questions to ensure the recognition gap doesn’t stall your career:
Track the data: “Are we auditing AI tool adoption across the company to see if there’s a gender gap in who’s being encouraged to use AI?”
Fix the recognition gap: “How are we making sure that women who use AI are rewarded for innovation rather than being penalized?”
For your own agency
Shift your mindset from “keeping up” to “critical engagement.”
Think critically: Follow Shae Omonijo’s framework and her Critical Thinking in the Age of AI series. Use AI tools on your own terms, maintaining your agency and judgement.
Follow She Writes AI and Code Like a Girl on Substack to learn how women in tech are engaging with and thinking about AI.
Watch or listen to this conversation between Sinead Bovell and Dr. Joy Buolamwini, about Buolamwini’s research around bias in AI.
For Canadians
In Canada, the national AI Strategy is currently entering its next phase of funding and policy. We need to ensure these resources are well spent.
Advocate Directly to the Minister: Write to Minister of Artificial Intelligence and Digital Innovation, Evan Solomon to ask that the 2026 National AI Strategy addresses everyone’s interests.
Email: evan.solomon@parl.gc.ca
Subject Line: Attn: Minister Solomon - Gender Equity in the 2026 National AI Strategy
The Message: Ask how his office is working to ensure that federal AI funding and reskilling programs are reaching the 16% of women in high-risk automation roles, and what the government is doing to close the “recognition gap” identified in the latest Lean In research. (Or anything else on your mind.)
Reese was right about the urgency, but the solution isn’t leaning in harder. It’s building a system that works for everyone.
AI in the news will return
Love this piece, Nicolle! I love that you mentioned the challenge around "girlboss fatigue" framing -- "learn AI" in that particular tone does sound like another productivity treadmill, and as a woman, it's easy to feel suspicious of that pitch.
What I've found through my experience working with AI and building, is that AI doesn't have to be the ever speeding treadmill that Im racing to keep up with. It's the opposite when I focus on slowing down, asking better questions, and trusting my own taste and judgment over more output. I find it powerful when I use it to make more room for the part of my thinking that's been squeezed out for years and reducing the invisible labor we hold as women.
So I'm with you on the structural fix, and moving beyond the narrative of "lean in harder." I love that you shared Shae Omonijo's framing as well -- going to check out more of her work.
Thank you again for this great piece!
Women were told in the 1980-1990's that we could 'have it all'. As Gen X hit midlife, we know that wasn't true (and have the meds to prove it!). Now, they're telling us to 'lean into AI', as if our agency alone will dispel the issues many women have with AI.
Wouldn't it be nice if the system met us halfway and leant into us?