There's a word for what happens when age bias compounds the sexism women have been navigating for generations. Gendered ageism. It's difficult to identify because the disruption itself can often be reasonably attributed to something else: a wider layoff, a reorganization, a redesign of performance reviews, a request for flexible hours that comes up against return to office policies, or being professionally ghosted from decisions and raised concerns being dismissed as being unintentional or 'no big deal.'
This research didn't set out to confirm what we already know about women and work. The glass ceiling, the glass cliff, the wage gap — that research and its insights have existed for over 50 years. What it hadn't produced was original data on women 40-64 whose careers had been disrupted, what they did next, and what it actually cost them.
Women in this demographic are underrepresented in both labour market research and entrepreneurship research. That gap matters, because the findings that emerged from centreing their voices directly challenge two assumptions baked into existing support systems: that women who build businesses after disruption chose to, and that calling a program an entrepreneurship program is a neutral act. The data says otherwise on both counts.
Career disruption is an economic equity issue because, especially at this life stage, it touches everything. Financial security, housing stability, retirement readiness, physical health (arriving at the same moment as perimenopause and menopause), mental health, and the care responsibilities that fall disproportionately on women, and which directly affect their ability to rebound.
The consequences ripple outward across families, workplaces, and communities.
Not one woman who participated in this research reported being financially better off after her career was disrupted.
Less than 15% of women surveyed received severance packages substantial enough to give them time to transition. For the rest, the financial pressure was immediate, and for many, it compounded. One woman's income was the same a decade after her disruption as it was the day it happened. That number has never fully recovered.
The emotional and financial experiences were inseparable. Disruption didn't just change what women earned; it changed how they ate, what they could plan for, whether retirement was still a realistic concept, and whether they could stay in their homes.
"I went from close to six figures to around $20,000 in my first year."
"I went from making six figures to working for minimum wage at an animal shelter in order to preserve my sanity and self-worth."
"When I can barely keep food on the table, I don't feel like I can stop and have the luxury of pausing to plan."
Income loss at this life stage doesn't stay contained. It impacts retirement savings that don't get rebuilt, debt that follows women into their 60s, care responsibilities that can't be met, and health that deteriorates under financial stress.
When these issues go unaddressed, they cascade into community costs that place measurable demand on every level of government, from municipal social services to federal income support programs, and on the health, housing, and care systems that are continually underfunded and unable to absorb them.
Language reflects the systems, structures, biases and assumptions behind it.
80% of women interviewed had moved into some form of self-employment or consulting after their disruption. And 100% of those women did not call themselves an "entrepreneur."
That's not a footnote. The women who turned to self-employment after their careers were disrupted didn't see themselves as entrepreneurs. They saw themselves as people who had run out of other options. They built something because the door to conventional employment had closed on them, often without explanation, and they needed income.
The majority did so reluctantly, without "startup" training, without "startup" capital, and without a network that allowed them to engage with the startup ecosystem they had accidentally entered.
"I could always sell everything else for everybody else… so I started my own business."
"I don't even know what that meant. I knew nothing about that world."
"The truth of that is, you have to have that entrepreneurial spirit, that driving force. And I don't think I had it enough."
Existing entrepreneurship support — accelerators, startup programmes, business incubators — is built around the language, timelines, and assumed ambitions of people who chose to start a business. It presumes motivation, runway, risk appetite, and a certain kind of identity. That's the first barrier.
The second is language. Women building businesses out of necessity don't self-identify as entrepreneurs, so they don't look for entrepreneur programming. They don't know it's meant for them, because nothing about it signals that it is. The support that exists doesn't reach them, and their absence gets misread as disinterest rather than exclusion.
This isn't a gap in awareness. It's a structural barrier to entry, and it's baked into how the programmes are designed, named, and delivered.
The capacity to recover depends heavily on what resources people could access.
Finding 3:
Some women found their way through. it didn't look like a comeback story.
The dominant emotional vocabulary of disruption in this research was bleak: embarrassed, ashamed, burned out, humiliated. One woman, writing about being forced out of her legal firm, was still feeling it eleven years later.
So when some women described their disruption as ultimately positive, it's worth paying attention to how they got there, because it wasn't linear, and it wasn't easy.
One respondent had spent years in Fortune 500 companies. After her disruption, she had access to outplacement services and coaching (one of only a few women in the research who did). It bought her time that allowed her to realise that she didn't want to go back. She became a consultant. Then she started a second business.
Another respondent was reorganized out of a role she'd held for years. With a rare adequate severance, she went back to school.
"Two years later, I am now working in a new career I love that has great future potential. I now know that getting reorganized was one of the best things to ever happen to me."
One woman, whose startup journey included being dropped from a high-profile accelerator program described what it cost her, then chose to keep going anyway.
"I almost quit. I spent some time at home crying and feeling sorry for myself. Thankfully I received wonderful programming and counselling and have built resilience. I choose to stand a little taller and carry on. The business is going strong. We have a team of 8 now."
The women who moved through disruption most effectively had one thing above all others: time. Time, bought almost exclusively by a financial buffer (a severance package, family support, or savings substantial enough to create breathing room). What that time made possible was reflection: being reminded of what had excited them in their work, the depth of knowledge they'd accumulated, and the value of decades of experience they'd been conditioned to discount.
The policy and programme response to career disruption almost always defaults to training. The assumption is that women need new knowledge. What the research suggests is that they more often need time, trusted support, and someone to help them recognize the value of what they already know.
Resilience, in this data, is a resource issue.
When a woman's income drops by half, or disappears, that cost doesn't stay contained. It spreads into public systems, into family finances that were already stretched, into the care economy where women disproportionately absorb what paid work can't cover, and into retirement poverty that takes decades to materialize and a generation to address.
Career disruption for women over 40 is not a personal setback that resolves itself. Income loss at this life stage can take years to recover from, and for some women, it never does. That's a community cost and an economic equity failure. It belongs on the agenda of every level of government, every employer, and every social service organization thinking seriously about the future of work for Canadian women.
The finding that "entrepreneur" appeared in only one submission is not a footnote. It's a critical data point.
Any programme, service, or policy response that uses Y Combinator or Techstars startup ecosystem language as its default actively excludes the women who need it most.
Disrupted women don't Google "entrepreneur resources." They're looking for something that recognizes what happened to them, and speaks to where they actually are financially and emotionally.
There is an entire sector in Canada made up of employment and entrepreneurship support. The problem isn't that the infrastructure doesn't exist. It wasn't built with this demographic in mind.
Women who've been edged out of careers and are building something to survive can't afford twelve weeks to nine months of startup programming.
Programming built around the young, ambitious, technology disrupter persona doesn't reflect the lived reality of disrupted women over 40. Different entry points, different language, and different definitions of success are design requirements.
If you recognise yourself in any of this
You're not imagining it. You're not alone. And you don't have to figure out what comes next by yourself. What happened to you has a name. It has research behind it. And it has consequences for women's economic equity that go well beyond your individual situation.
The Disrupted Careers Lab starts by helping you figure out where you are right now, and what that means for where you go next.
Women need a place to land after disruption that doesn't assume they already know what they want, doesn't push them toward entrepreneurship as a default, and doesn't ask them to fit a framework built for someone else.
If you work with women navigating this
Whether you're a community organization, an employer, a funder, or a researcher — if this data is relevant to your work, we'd like to hear from you. There's more to do here, and it works better when the people already in the room are in the conversation.