The share of women in digital and tech jobs has stagnated for several years in Europe and France. Measuring this gap, identifying the bottlenecks, and spotting the levers that produce concrete results allows us to go beyond mere observation and enter into the analysis of mechanisms. What indicators distinguish the countries or companies that are making progress from those that lag behind in terms of equality in the tech sector?
Rixain Law and European Directive: Two Regulatory Frameworks to Compare
Two texts currently structure the obligations for gender diversity in leadership positions within tech companies and beyond. Their scope and deadlines differ.
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| Criterion | Rixain Law (France, 2021) | Directive (EU) 2022/2381 |
|---|---|---|
| Target | Companies with more than 1,000 employees | Large publicly traded companies in the EU |
| Obligation | Quota of women in governing bodies and executive committees | Increase in female representation in board positions |
| Key Deadline | Progressive targets until 2029 | National transposition by December 28, 2024 |
| Monitoring Mechanism | Professional equality index, annual publication | Transparency and reporting obligations |
| Identified Limitation | Slower progress in executive and technical roles | Variable application across member states |
The Rixain law has produced measurable effects on leadership appointments in France, according to the High Council for Equality. However, gender diversity is progressing more slowly in high-value technical roles than in the overall workforce. The European directive, published in the Official Journal of the EU on December 7, 2022, targets the boards of directors of listed companies, a different scope that leaves out tech startups and SMEs.
Initiatives like those led by https://www.futureaufeminin.org/ help make the career paths of women in these innovative sectors visible, upstream and in addition to legal obligations.
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Digital Skills Pipeline: Recruitment is No Longer Enough
Inclusion policies in tech have long targeted hiring at the end of higher education. This approach has shown its limits. The pool of female candidates remains narrow if educational orientation does not change.
By 2025, the trend observed at the European level and in several French administrations is to intervene much earlier in the educational journey. Actions are shifting to middle and high schools, with a goal: to develop girls’ digital skills before gender stereotypes influence their field choices.
- Programming and robotics workshops integrated as early as the fifth grade, explicitly targeting gender diversity in participant groups
- Mentoring programs connecting women professionals in the IT sector with middle and high school girls, to compensate for the lack of female role models in these jobs
- Raising awareness among teaching staff about unconscious biases in directing students towards scientific and technical fields
This “pipeline” logic does not replace inclusive recruitment policies in companies. It complements them by addressing a structural factor: the underrepresentation of women in digital training.
Algorithmic Bias and Inclusion: An Underestimated Technical Angle
Gender equality in the tech sector is not limited to human resources. It also affects the products developed. Artificial intelligence systems trained on unbalanced datasets reproduce and amplify existing gender biases.
A CV screening software predominantly trained on male profiles tends to penalize female applications. A voice recognition tool calibrated on male voices works less effectively for female users. Mixed development teams detect these biases earlier in the design cycle.
The issue goes beyond the question of symbolic representation. Diversity in technical teams has a direct effect on the quality and fairness of digital products brought to market. Tech companies that integrate this dimension into their development processes reduce the risk of discriminatory biases in their algorithms.
Measuring Impact on Products, Not Just Workforce
Traditional indicators (percentage of women in tech jobs, wage gap, promotion rates) do not capture this dimension. Some companies are beginning to audit their AI models from a gender perspective, testing the results produced according to user profiles.
This practice remains marginal. However, it constitutes a concrete lever to demonstrate that the inclusion of women in digital improves the reliability of technological solutions.
Tech Jobs and Professional Equality: Barriers That Persist After Hiring
Hiring women in the IT sector does not guarantee their retention in positions. Several factors hinder career advancement once they enter the company.
- Access to strategic projects and technical responsibilities remains unequal: women are more often assigned coordination or management tasks than pure development
- The phenomenon of the “technical glass ceiling” limits progression to architect, lead developer, or technical director positions
- The absence of parental policies adapted to the rhythms of the sector (on-call duties, night deployments, sprints) penalizes mothers more than fathers
Retaining female talent requires targeted actions on career advancement, not just on recruitment. Companies that publish their promotion data by gender and hierarchical level make these gaps visible, which is a first step towards their correction.
French and European regulations push for greater transparency on these issues. The publication of the professional equality index requires large companies to measure and communicate their results. The tech sector, where turnover is high, has a direct interest in transforming these obligations into retention tools.
The gap between the adopted texts and the reality of professional paths in digital remains a point to watch in the coming years. The follow-up data from the Rixain law and the European directive will provide, by 2029, a factual basis to assess whether these regulatory frameworks have truly changed the structure of technical jobs or merely shifted the numbers towards support functions.