The invisible workforce: how late neurodiversity diagnoses are costing women and economies

Neurodivergent women are typically diagnosed later in life than men. Image: Vitaly Gariev/Unsplash
Abayomi Olusunle
Marketing/Recruitment Officer, University of Leicester; Board Member, Terrence Higgins Trust and Noetic- Neurodivergent women are all too frequently diagnosed too late, supported too little and tracked by data that doesn't include them.
- Women with ADHD are typically diagnosed later than men, leading to missed education, reduced earnings and sidelined careers.
- Closing the neurodiversity gender gap will not just support women in the workplace, but is also a sensible economic choice too.
Every day, neurodivergent women go to work, sit in lectures, raise families and hold organizations together, while the systems around them fail to see them accurately.
They are not missing from the workforce. They are misread within it: diagnosed years too late, supported too little and tracked by data that does not know to look for them.
Globally, autism affects an estimated 61.8 million people, or 1 in 127, and adult attention deficit and hyperactivity disorder (ADHD) prevalence sits at 3.1% worldwide – yet both diagnostic frameworks were built almost entirely around male presentations.
This disconnect is reflected in figures that show women with ADHD are diagnosed nearly five years later than men, and up to 97% of autistic women over 40 remain entirely unidentified.
The consequences are measurable: delayed diagnosis, missed education, reduced earnings and sidelined careers. This is not a medical problem requiring accommodation. It is a policy failure requiring specific solutions.
The neurodiversity diagnostic gap hiding in plain sight
Research presented at the 2025 European College of Neuropsychopharmacology Congress found that women with ADHD are diagnosed at an average age of 28.96, compared to 24.13 for men, despite symptoms emerging at the same point in childhood. The age of diagnosis for women and girls also remains consistently higher across multiple countries, according to a 2024 study.
Additionally, a King’s College London review found that, in the UK, between 89% and 97% of autistic adults over 40 remain undiagnosed – and given that women are diagnosed later and in far smaller numbers, the true scale of that invisibility will likely fall disproportionately on them.
Meanwhile, in research settings globally, the exclusion of women from diagnostic studies has historically produced ratios as high as 8:1 male to female participants, embedding the bias directly into clinical practice.
A girl who is quiet rather than disruptive is read as coping. A woman performing well at hidden cost is deemed anxious or overwhelmed. This is how an invisible workforce is made: not through exclusion, but through misinterpretation.
The system mistakes performance for wellbeing. Neurodivergent girls and women engage in social camouflaging, or ‘masking’, are more likely than their neurotypical or male peers, constructing performances of normality that deplete them cognitively and emotionally.
Girls with inattentive ADHD present differently from the hyperactive template: their minds slip sideways from lessons while their bodies remain still. Described as bright but dreamy, disorganised but capable of more, each year without identification widens the gap between their needs and the support they receive.
Research confirms this masking continues into professional life, generating long-term costs in exhaustion, anxiety and burnout that accumulate invisibly across decades.
When neurodiversity issues for women tend to surface
Higher education is frequently where the cost of being unidentified becomes visible, and not dramatically, usually. Not a breakdown in a seminar. More often it is a dissertation extension requested three times, a shared house that becomes unbearable, a decision to switch courses.
Globally, 36% of autistic students do not complete their degree compared to 29% overall, and in the United States, neurodivergent students are 26% less likely to complete their course than neurotypical peers.
Meanwhile in the UK, autistic undergraduates are more likely to leave without graduating and 56% have considered dropping out compared to 15% of non-autistic peers.
A 2025 meta-synthesis in BJPsych Open drawing on studies globally identified the primary driver as environmental discord: structural mismatch between institutions and autistic students’ needs, not individual weakness. Many women in these statistics carry no diagnosis. They leave, and the system records the outcome without ever recording the cause.
Challenge of managing demands in neurotypical workforce
Neurodivergent women who enter the workforce often encounter environments built around neurotypical norms. Managing those demands alongside actual work is a hidden second job no employer measures or compensates.
Up to 46% of autistic people in employment are working below their level of capability and were 'overeducated' for their role.
University of Kent research found that women with ADHD earn on average 28.2% less per year than men with ADHD – a neurodivergent penalty compounding a gender pay gap most equity frameworks do not yet know to look for.
At the same time, only 17% of neurodivergent women feel their employer provided clear pathways to progression.
Globally, unemployment rates for neurodivergent adults range from 30-40% compared to 4.2% for the overall population, and in the United States alone, 85% of autistic people are unemployed.
Taking into account that women are diagnosed later in life and in smaller numbers, the true scale of their exclusion from work is almost certainly higher than any current figure reflects.
Lower employment rate among neurodivergent workers
In the UK, just 22% of autistic adults are in paid employment, the lowest of any disabled group, compared to over 80% of non-disabled people. Overall neurodivergent employment stands at 31%, compared with 53% of disabled people broadly, and neurodivergent workers are more than 10 times as likely to be in temporary employment as neurotypical peers.
For neurodivergent women facing both a gender and a neurodivergent penalty, the compounding effect is severe. A review of ADHD's global burden found the US alone experiences $122.8 billion in excess annual cost across healthcare, lost productivity and education.
Many neurodivergent women appear simply as economically inactive, with no record of the structural condition that shaped that outcome.
The skills economies say they need are already here
The World Economic Forum’s Future of Jobs Report 2025 identifies analytical thinking, cited by 70% of employers, alongside creative thinking and resilience, as the defining skills economies need through 2030.
For many neurodivergent women, these are not supplementary strengths. They are the primary ones. Research consistently identifies pattern recognition, systems thinking, hyperfocus and high attention to detail as core neurodivergent cognitive profiles: precisely what employers say they cannot find.
The problem is not a skills shortage. It is a recognition shortage. Neurotypical workplace norms disproportionately disadvantage neurodivergent women already absorbing the cost of an undiagnosed condition, and Deloitte research found inclusive teams outperform peers by 80% in team-based assessments, yet the conditions that would enable neurodivergent women to perform at their actual level remain the exception.
How to close the neurodiversity gender gap
Closing the gap requires action across all systems simultaneously.
Diagnostic tools and clinical training must reflect how ADHD and autism present in women: masking, chronic exhaustion, and histories of anxiety or depression treating effects rather than causes.
The UK's healthcare ADHD guidelines, for example, were updated in 2023 and acknowledged gender differences in presentation – a step requiring consistent frontline implementation and global equivalents. Education systems must recognise distress beneath compliance.
Employers must move flexibility, clear progression and neurodivergent-aware management from exception to default, while governments must disaggregate neurodevelopmental health data by gender.
The invisibility of this problem in policy is not inevitable; it is a measurement choice. Once that data exists, the economic case is clear: reduced healthcare utilization, higher employment, increased tax contributions and the recovery of talent that has spent decades being misread.
For economies still searching for untapped sources of growth, neurodivergent women represent not a welfare concern but a strategic opportunity: highly capable, structurally sidelined, and waiting to be finally, accurately seen.
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