Gender Bias in Technology: How Women in Tech Are Impacted

Technology shapes nearly every aspect of modern life—from healthcare and finance to education and artificial intelligence (AI). The people who design, build, and maintain the technologies influence how they work and who they serve. That’s why creating a more inclusive technology workforce isn’t simply about fairness—it’s also about building better technology for everyone.

While women have made meaningful progress across the tech industry, gender bias in technology continues to affect hiring, pay, career advancement, leadership opportunities, workplace culture, and representation in technical decision-making. More recently, conversations about bias have expanded beyond the workplace to include how AI systems, algorithms, and other digital technologies can unintentionally reflect or perpetuate existing inequities when developed without diverse perspectives.

Education is an important part of addressing these challenges, but it’s only one piece of a much larger solution. Achieving gender equality in tech also requires thoughtful hiring practices, mentorship and sponsorship, equitable advancement opportunities, responsible AI development, and workplaces where all professionals have opportunities to contribute and lead.

Whether you’re considering a career in software engineering, cybersecurity, data analytics, network engineering, or another IT field, understanding gender bias in technology can help you become a stronger tech professional and a more thoughtful contributor to the future of the industry. 

What Does It Mean to Be a Woman in Tech?

The phrase “women in tech” refers to women working across the technology industry in areas such as software development, cybersecurity, cloud computing, data science, AI engineering, network engineering, UX design, IT product management, and IT leadership.

Although the representation of women in tech has improved over time, women remain underrepresented in many technical specialties and leadership positions. According to the WomenTech Network’s 2026 analysis of women in technology, women make up approximately 35% of the STEM workforce in the United States, while representation varies considerably acrossdifferent technology occupations and leadership roles. This gender gap is often more pronounced in senior roles, where women’s representation drops further the higher up the ladder you look. 

Underrepresentation alone is not the same as gender bias in technology. Gender bias occurs when conscious or unconscious assumptions influence how people are hired, evaluated, promoted, compensated, or included in important workplace decisions. These biases can affect individual careers, team dynamics, and even the products that organizations create. 

In tech organizations, gender bias may appear in several ways, including:

• Hiring and recruitment practices
• Performance evaluations
• Compensation decisions
• Promotion opportunities
• Access to leadership positions
• Team culture and collaboration
• Product design and development
• AI and data governance

Because relatively few women occupy senior technical and executive positions in some organizations, fewer diverse perspectives may be represented when important product, engineering, and AI decisions are made. This doesn’t mean innovation cannot happen; rather, it means organizations may overlook valuable ideas, experiences, or potential blind spots that diverse teams are better equipped to identify.

When people from different backgrounds contribute to technical discussions, products are more likely to reflect the experiences of the people who use them. Diverse teams are often more likely to help organizations challenge assumptions, consider broader user needs, and improve decision-making.

Examples of Gender Bias in Technology

Gender bias doesn’t always appear in obvious ways. Sometimes it’s the result of intentional gender discrimination or sexism, but more often it develops through long-standing systems, unconscious assumptions, or workplace practices that unintentionally create unequal opportunities.

Below are some examples of how gender bias in technology can affect women throughout their careers:

Hiring Practices

Bias can influence hiring before an interview even begins. Job descriptions, recruiting networks, referral practices, résumé screening, interview questions, and evaluation criteria may unintentionally favor certain candidates over others. Organizations are increasingly reviewing hiring processes to help reduce these unintended barriers and create more equitableopportunities.

Pay Equity 

Although many organizations have made progress toward greater pay equity, compensation gaps can still exist because of differences in negotiation opportunities, promotion rates, career progression, or organizational policies. Regular pay-equity reviews and transparent compensation practices can help organizations identify and address disparities.

Career Advancement 

The career growth of individuals often depends on their access to challenging projects, leadership opportunities, sponsorship, and visibility within an organization. When those opportunities are distributed unevenly, women may encounter additional barriers to moving into senior technical or executive roles.

Workplace Culture 

An inclusive workplace encourages everyone to contribute ideas, ask questions, and participate in technical discussions. Conversely, environments where employees feel overlooked, interrupted, excluded from decision-making, or subject to stereotypes can make it more difficult for them to thrive and remain in the profession.

H3: Representation in Product Design

Technology reflects the people who build it. When product development teams include a broader range of perspectives and experiences, they’re often better positioned to identify usability issues and accessibility concerns before the products reach users.

Algorithmic Bias

Today, gender bias in technology isn’t limited to human decision-making. AI systems and automated tools can also produce biased outcomes when they’re trained on incomplete, unrepresentative, or historically biased data.

Researchers have documented examples where AI hiring tools, image recognition systems, and language models have reflected or reinforced historical patterns in their training data. These examples illustrate why organizations increasingly emphasize responsible AI development, regular testing, and human oversight to help identify and reduce algorithmic bias before systems are widely deployed. More on AI and gender bias can be found later on in this blog. 

Retention and Career Longevity

Recruiting talented women is only part of the equation. Organizations also need to create environments where employees want to stay and continue growing their careers. Access to mentorship, sponsorship, leadership opportunities, flexible work policies, and inclusive workplace cultures all contribute to long-term retention and career satisfaction for women in technology. 

The Business Value of Gender Diversity in Technology

Creating a more inclusive technology workforce isn’t just increasing representation—it can also strengthen innovation, collaboration, and business performance. Technology companies solve complex problems that affect millions of people. When teams bring together professionals with different backgrounds and perspectives, they’re often better equipped to identify customer needs, challenge assumptions, and develop more effective solutions.

Research from McKinsey & Company shows that organizations with more diverse leadership teams often report stronger business outcomes than less diverse organizations. While many factors contribute to organizational success, these findings suggest that diverse perspectives can lead to a meaningful competitive advantage. 

In technology, gender diversity can influence nearly every stage of product development—from brainstorming and user research to quality assurance and product testing. Teams that reflect a broader range of experiences are more likely to recognize usability concerns, accessibility issues, or unintended consequences before products reach customers.

This means that the perspectives of women pursuing tech careers are valuable not only because representation matters but also because diverse experiences help organizations build products that better serve users.

How AI Is Changing the Conversation About Gender Bias

AI has transformed many aspects of the technology industry. AI tools now help organizations write software, analyze data, screen job applicants, recommend products, and automate routine tasks. At the same time, AI has introduced new conversations about fairness, transparency, and bias.

Unlike humans, AI systems don’t have opinions or intentions. However, they learn patterns from the data used to train them. If that data reflects historical inequalities or lacks diverse representation, AI systems can unintentionally reproduce those patterns. These systems may generate different outputs across demographic groups because of imbalances in training data or limitations in how the models were designed or evaluated. 

Today, many organizations work to reduce these risks by:

• Using diverse and representative training data whenever possible.
• Testing AI systems for fairness and unintended outcomes before deployment.
• Including multidisciplinary teams in product design and model evaluation.
• Maintaining human oversight for high-impact decisions.
• Regularly monitoring AI systems as they continue to learn and evolve.

Because AI is becoming part of everyday life, professionals entering or navigating technology careers increasingly benefit from understanding not only how AI works but also the ethical responsibilities of developing and using these systems.

Why Representation Matters in AI Development

AI reflects the decisions that people make throughout the development process. Developers decide which problems to solve, what data to collect, how models are evaluated, and what success looks like.

When development teams include people with different experiences and perspectives, they’re often better positioned to ask questions such as:

• Who might this technology unintentionally leave out?
• Does our training data represent the people who will use this product?
• Could this feature affect different groups in different ways?
• How can we improve accessibility and usability for a broader audience?

These questions help organizations build technology that’s more inclusive, trustworthy, and useful. 

This doesn’t mean that every diverse team will automatically create better AI technology or output. But generally, thoughtful collaboration and a variety of perspectives will help organizations identify blind spots that more uniform teams might overlook.

As AI continues to shape industries, organizations increasingly recognize the importance of developing technology that works well for the widest possible range of users.

Progress for Women in Technology

Although challenges remain, the technology industry has made meaningful progress over the past decade.

Many organizations have expanded mentorship programs, leadership development initiatives, employee resource groups, flexible work arrangements, and pay-equity reviews. Companies are also placing greater emphasis on inclusive hiring practices and creating workplace cultures where employees from different backgrounds have opportunities to grow and contribute.

Educational institutions, professional organizations, and industry groups continue to encourage more women to explore careers in computer science, cybersecurity, software engineering, data analytics, cloud computing, and other STEM disciplines. 

The development of new technology is also creating new career opportunities. Fields such as AI engineering and machine learning continue to evolve rapidly, creating demand for professionals with diverse technical skills and perspectives.

Students considering a career in technology now have more pathways than ever to enter the field, develop specialized expertise, and pursue leadership opportunities.

Why Education Can Help Close the Gap 

Education plays an important role in preparing the next generation of tech professionals. 

While preparing for careers in growing industries, students can build confidence by learning technical skills such as programming or networking. Just as importantly, technology education encourages collaboration, critical thinking, ethical decision-making, and problem-solving—skills that are increasingly valuable in modern workplaces. 

Many universities and employers also highlight the importance of creating learning environments that support students from a variety of backgrounds. Mentorship opportunities, professional organizations, networking events, internships, and hands-on learning experiences can all help students build the knowledge and confidence needed to pursue long-term careers in technology.

Whether your goal is to become a software developer, cybersecurity analyst, or IT leader, you can prepare yourself for meaningful contributions throughout your career by developing both technical expertise and strong people skills. 

How to Support Women in Technology

Creating a more inclusive technology industry requires ongoing effort from employers, educators, leaders, and individual professionals. While every workplace is different, organizations can take meaningful steps to reduce bias and create environments where employees have opportunities to succeed.

Promote Fair Hiring Practices

The hiring process often shapes the diversity of an organization. Employers can support more equitable hiring by writing inclusive job descriptions, expanding recruiting efforts, using structured interviews, and evaluating candidates against consistent criteria.

Many organizations also review hiring data to identify trends and opportunities for improvement. These efforts can help reduce unintended bias while ensuring hiring decisions remain focused on skills, experience, and qualifications.

Invest in Mentorship and Sponsorship

Mentorship provides guidance, encouragement, and professional development throughout a person’s career. Sponsors go a step further by actively advocating for talented employees and recommending them for leadership opportunities, high-visibility projects, and promotions.

Both mentorship and sponsorship can help women expand their networks, build confidence, and prepare for new responsibilities.

Create Inclusive Workplace Cultures

An inclusive workplace encourages collaboration, respectful communication, and opportunities for every employee to contribute ideas.

Organizations can support inclusion by:

• Encouraging open communication.
• Providing leadership development opportunities.
• Offering flexible work arrangements when appropriate.
• Promoting respectful collaboration across teams.
• Providing training on unconscious bias and inclusive leadership.

Small changes in workplace culture can make a meaningful difference in employee engagement, retention, and long-term career growth.

Support Continuous Learning

Technology evolves quickly, and ongoing learning benefits everyone. 

Professional development opportunities—including certifications, conferences, workshops, graduate degrees, and technical training—help employees build new skills while preparing for leadership roles in technology.

Supporting lifelong learning also helps organizations stay competitive as technology continues to change.

Building the Future of Technology with WGU

To create technology that better serves diverse communities in this evolving industry, organizations will need professionals with a wide range of experiences, perspectives, and technical expertise.

Addressing gender bias in technology isn’t about lowering standards or creating opportunities for one group at the expense of another. It’s about building workplaces where talented people can contribute, grow, and lead based on their skills, knowledge, and potential. When organizations invest in inclusive practices and thoughtful technology development, they position themselves to create stronger teams and better solutions for the people they serve.

Whether you’re beginning your first IT course or preparing for a leadership role in technology, the right education can help you build the knowledge and confidence needed to make an impact. WGU’s online bachelor’s and master’s IT degree programs are designed to help students develop practical skills for today’s technology workforce. 

In addition, WGU’s Women in Technology Club is a great way to enrich your tech journey through meaningful networking connections and career resources. Learn more today about how to join.

Women in Tech FAQs

What does "women in tech" mean?

“Women in tech” refers to women working in technology-related careers, including software engineering, cybersecurity, data science, cloud computing, networking, IT support, UX design, and technology leadership. The phrase also refers to efforts that encourage greater representation, inclusion, and career advancement within the tech industry.

Why are women underrepresented in some technology careers? 

There isn’t a single explanation. Researchers point to a combination of factors, including historical representation, educational pathways, workplace culture, hiring practices, mentorship opportunities, and access to leadership positions.

What is algorithmic bias?

Algorithmic bias occurs when an AI system or automated process produces results that unfairly disadvantage certain individuals or groups. Bias can result from factors such as incomplete training data, historical patterns reflected in the data, or limitations in how an AI system is designed or evaluated. 

Are there opportunities for women in technology?

Yes. Technology remains one of the fastest-evolving career fields. As organizations continue investing in digital transformation and emerging technologies, the demand for skilled technology professionals is expected to remain strong.

How can I prepare for a career in technology?

A successful tech career often begins with developing both technical and professional skills. Degree programs, industry certifications, hands-on projects, internships, mentorship, and continuous learning can all help prepare students for careers in IT.