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Straight talk on work, money and AI, backed by the research.
Executives get golden parachutes. Most women get a cardboard box. Here’s how TotalHER turns your skills into a soft landing, with HER AI as your business partner.
Read the postBlack women took more than half of women’s job losses in 2025. Here’s the data through September 2026.
Women absorbed the year’s job losses. Here’s why, and why Future of Work platforms are built to fill the gap.
New Brookings research on who’s most exposed to AI, and how to close the gap.
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New Brookings research finds 6.1 million US workers face high AI exposure and low capacity to adapt, and 86% are women. Here’s what’s driving the gap and how to close it.
You may have seen the headline: millions of women are about to lose their jobs to AI. The real story is more precise — and in some ways more important.
In January 2026, researchers at the Brookings Institution and the Centre for the Governance of AI identified 6.1 million US workers who are both highly exposed to AI and poorly equipped to bounce back if their jobs disappear. About 86% of them are women — roughly 5.2 million people.
of the 6.1 million US workers with high AI exposure and low adaptive capacity are women, roughly 5.2 million people.
That is not a forecast of 6 million layoffs. It is a map of who would be hit hardest if AI-driven job displacement arrives. And it shows that the burden of AI job displacement could fall overwhelmingly on women in clerical and administrative roles.
This article breaks down what the research actually says, why women are so overrepresented, and what employers, policymakers and workers can do now.
Most studies of AI and jobs stop at “exposure” — how many of a job’s tasks AI could, in theory, perform. The Brookings and GovAI team added a second question: if this worker is displaced, how well could they adapt?
To answer it, they built an adaptive capacity index from four factors:
The headline findings:
The contrast between occupations is stark. Financial analysts scored 99% on adaptive capacity; general office clerks scored just 22%.
| Highly exposed occupation | US employment | Adaptive capacity score |
|---|---|---|
| Office clerks, general | 2.5 million | 22% |
| Insurance sales agents | 469,000 | 24% |
| Interpreters and translators | 53,000 | 29% |
| Financial analysts (for comparison) | — | 99% |
Geography matters too. The researchers note that an office clerk in a large metro area should find re-employment easier than one in a small town with few employers.
The gender gap in AI automation is not about women being less capable with technology. It is about where women work.
The vulnerable 6.1 million are concentrated in clerical and administrative jobs — general office clerks above all, alongside other administrative support roles. These occupations have been dominated by women for decades. They also happen to involve exactly the kind of structured, text-heavy, rules-based tasks that generative AI handles well: drafting routine correspondence, scheduling, data entry, summarizing documents and answering standard queries.
This is a pattern researchers have flagged for years. McKinsey Global Institute projected in 2023 that US office support and customer service roles — both heavily female — could shrink by about 3.7 million and 2.0 million jobs respectively by 2030. Revelio Labs estimated that women held 71% of the US jobs most exposed to generative AI.
Occupational segregation does the rest. Many workers in these roles are older, earn modest wages with limited savings, and have built deep expertise that is valuable but tied to a specific organization or system. Those are exactly the traits that lower adaptive capacity.
The gender gap is not just an American story. A May 2025 study by the International Labour Organization (ILO) and Poland’s National Research Institute (NASK) found:
The ILO also points out that Europe and Central Asia show the widest gender gaps, driven by high female employment in clerical work combined with fast digital adoption.
It is tempting to read these numbers as a countdown to mass layoffs. The researchers themselves warn against that.
AI exposure measures how many of a job’s tasks could change — not whether the job will vanish. The Brookings and GovAI authors stress that only some AI-driven changes will result in job loss. The ILO reaches the same conclusion: almost no jobs consist entirely of tasks current AI can automate, and transformation, not replacement, is the most likely outcome for most exposed roles.
Mass replacement hasn’t shown up in the data yet, either. Ben May of Oxford Economics, in a report cited alongside the Brookings findings, said there is little evidence of firms replacing large numbers of workers with AI.
So why does the 6.1 million figure matter? Because if displacement does come — even gradually — these are the workers least able to absorb the shock. That makes them the right place to focus retraining budgets, employer planning and policy support before the disruption, not after.
The claim that “6 million women will lose their jobs to AI” overstates what the research says. But the real finding is just as urgent: of the 6.1 million US workers most exposed to AI and least able to recover from job loss, 86% are women, concentrated in clerical and administrative work.
That gives employers and policymakers something rare — advance notice. We know which roles, which workers and which communities are most vulnerable. Acting early, through redeployment, paid reskilling and targeted transition support, can turn a looming gender gap in AI job displacement into an opportunity to build a more resilient workforce.
The question isn’t whether AI will change administrative work. It’s whether the women doing that work will be brought along — or left behind.
Not exactly. Brookings research identifies 6.1 million US workers with high AI exposure and low capacity to adapt if displaced; about 86% (roughly 5.2 million) are women. It measures vulnerability, not confirmed job losses.
Women are heavily concentrated in clerical and administrative occupations, which have high AI exposure. Workers in these roles also tend to be older, with lower savings and narrower skill sets — factors that make job transitions harder.
Among highly exposed occupations, general office clerks, insurance sales agents, and interpreters and translators scored lowest on adaptive capacity in the Brookings analysis.
No. The ILO found that in high-income countries, 9.6% of women’s jobs fall into the highest AI-exposure category, compared with 3.5% of men’s.
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Executives get golden parachutes on the way out. Most women get a cardboard box. TotalHER is built to be the soft landing you were never offered, and the place you take off from next.
A golden parachute is the payout a company promises its top executives if they lose their job. It exists so the people at the top never hit the ground hard.
Most women never get one. In 2025 and 2026 they got federal cuts, return-to-office mandates, hospitality layoffs and AI tools aimed squarely at administrative work. By July 2026, a net 845,000 women had left the US labor force since January, more than double the number of men, according to the National Women’s Law Center. Black women lost 251,000 jobs in the first eight months of 2025 alone.
Nobody is coming with a severance package. So we built the parachute ourselves.
net women who left the US labor force between January and July 2026, more than double the number of men (NWLC analysis of BLS data).
A parachute doesn’t stop the fall. It slows it down and lets you choose where you land. That’s the job TotalHER is built to do.
You don’t need a following to land here. TotalHER is built for anyone whose expertise people will pay for: coaches, therapists, business and financial advisors, HR and career mentors, teachers and trainers, attorneys, wellness practitioners, freelance designers, writers, developers and marketers, artists and photographers, community organizers, and women whose life experience is the expertise.
If you lost a federal analyst job, you still know how to analyze. If your admin role got automated, you still know how to run an operation. The job ended. The skill didn’t.
The best time to build a landing spot is while you still have a paycheck. Here’s the order we recommend:
A parachute isn’t the end of the flight. It’s how you get back on the ground in one piece, on your terms, ready for what’s next. Whether you’ve been laid off, pushed out or just see the writing on the wall, TotalHER is the place to land.
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Black women lost 251,000 jobs in the first eight months of 2025, more than half of all job losses among women. Here’s what the numbers show through September 2026, and where the work goes next.
There is no single official count of every Black woman who lost a job between January 2025 and today. The Bureau of Labor Statistics (BLS) measures jobs and unemployment month by month, not people across two years. But researchers who have worked through the BLS data agree on the shape of it:
You may have seen a figure of 600,000 Black women losing their jobs in 2025 on social media. We couldn’t find the original analysis behind that number, so we’ve stuck to figures we can trace to their source.
of women’s job losses from January to August 2025 fell on Black women, who make up 14.1% of working women (IWPR).
Federal jobs have long been a path into the middle class for Black women. 5.1% of employed Black women worked for the federal government. That made them especially exposed when the federal workforce was cut in 2025.
That last point matters. These weren’t only entry-level jobs. Many of the women pushed out were degree-holding analysts, managers, program officers and specialists.
| Month | Unemployment rate | Source |
|---|---|---|
| January 2025 | 5.4% | National Partnership for Women & Families |
| December 2025 | 7.3% | The 19th |
| January 2026 | 6.3% | National Partnership for Women & Families |
| February 2026 | 7.1% | NWLC |
| March 2026 | 6.1% | BLS, via The American Prospect |
| August 2026 | 5.6% | NWLC (ages 20+) |
| September 2026 | 6.8% | NWLC (ages 20+) |
These figures come from different analyses, and some use slightly different age groups, so treat month-to-month comparisons as approximate. For comparison, the overall US unemployment rate was 4.2% in September 2026 (BLS).
The unemployment rate only counts people who are actively looking for work. When women stop looking, because a search has dragged on for months or caregiving takes over, they leave the labor force and the rate can fall even though nobody got hired. Economist Valerie Wilson of EPI has said most of the rise in Black unemployment over the past year came from Black women losing jobs, not from more Black women entering the labor force.
The skills didn’t disappear with the jobs. A federal program manager still knows how to run a program. An HR specialist still knows how to coach a career. A policy analyst still knows how to research and advise.
That’s the gap Future of Work platforms are built for. On TotalHER, RequestHER turns that expertise into bookings, business inquiries and purchase requests. The Premium plan adds session booking and built-in web conferencing for coaching and consulting. And HER AI works as your business partner, so no one has to rebuild alone.
It won’t replace a federal salary overnight. But it’s a place to land, start earning on your own terms and build something nobody can cut from a budget.
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Hundreds of thousands of women have left the US workforce since January 2026, far more than men. Here’s what the jobs data shows, why it’s happening, and why Future of Work platforms like TotalHER are built to fill the gap.
Job losses for women in 2026 show up most clearly in one measure: how many women have left the labor force, meaning they are neither working nor looking for work. According to the National Women’s Law Center’s analysis of BLS data:
fewer women aged 20+ in the US labor force in September 2026 than in January, while men grew by 13,000 (NWLC).
| As of | Net women out of the labor force since Jan 2026 | Men |
|---|---|---|
| May 2026 | 300,000+ | — |
| July 2026 | 845,000 | 406,000 fewer |
| August 2026 | 633,000 | 68,000 fewer |
| September 2026 | 451,000 | 13,000 more |
Some women came back in August and September. But the gap with men has stayed wide all year.
July 2026 was the clearest example. The economy lost 23,000 jobs. Women lost 32,000 while men gained 9,000, so women accounted for all of the month’s job losses. In leisure and hospitality, women lost 63,000 jobs while men gained 23,000. That same month, 165,000 women aged 20 and over left the labor force while men’s participation didn’t change (NWLC).
The National Partnership for Women & Families reported that the share of women 20 and older who were working fell to 55.6% in July, the lowest since late 2021, with the steepest declines among Black women and Latinas.
The September 2026 jobs report showed a weak market overall: employers added just 29,000 jobs, unemployment rose to 4.2% and labor force participation stood at 61.8% (BLS). Adult women’s unemployment rate was 3.6%, but that number leaves out the hundreds of thousands who stopped looking.
Traditional employers are hiring slowly. That doesn’t mean the demand for women’s skills went away. People still need coaches, advisors, trainers, therapists, designers and writers. They just don’t always need them on a full-time payroll.
That’s the opening for Future of Work platforms, and it’s why TotalHER was built the way it was:
None of this erases what 2026 has cost working women. But when the front door of the job market keeps closing, a platform that lets you open your own matters.
Turn what you know into income with RequestHER and HER AI.