By Maureen Phiri, Director at Oxyon People Solutions
Artificial intelligence (AI) is opening new opportunities for women across construction, energy and other traditionally male-dominated industries. As more work becomes centred on technology, data, and remote operations rather than physical labour, organisations can recruit from a much broader talent pool. However, expanding access to these roles is only part of the solution.
AI learns from the information it is given. If that information comes from a narrow range of perspectives, it will reflect those same perspectives and potential biases. Building more diverse workplaces therefore starts long before recruitment. It starts with designing technology that reflects the people who will ultimately use it.
Technology also needs diversity
As organisations adopt AI more widely, they also need to think about whose thinking is built into the technology. AI reflects the data it is trained on and the assumptions of the people developing it. If those perspectives are not diverse, the technology will continue to approach problems from the same point of view, regardless of who is using it. This is particularly important when AI is used to support recruitment, workforce planning and operational decision-making.
The question is no longer only whether organisations are creating opportunities for women and people from diverse backgrounds. It is whether women and other underrepresented groups are helping shape the technologies that increasingly influence those opportunities.
Designing AI without diverse perspectives means the technology is more likely to reflect one way of thinking and one set of experiences, which can create limitations and reinforce existing ways of working. Bringing a broader range of perspectives into the design process helps create systems that are better suited to the people and workplaces they are intended to support.
Removing barriers to entry
Across construction, industrial engineering, and renewable energy, among other sectors, technology is changing the types of skills employers are looking for. AI-enabled systems, autonomous equipment, and remote monitoring, for example, are reducing the emphasis on physical strength and increasing demand for technical expertise, analytical thinking, and operational decision-making.
This creates opportunities for more women to enter roles that were traditionally viewed as physically demanding and were therefore male-dominated. Digital project management, remote operations, and automated equipment are also making many positions more accessible by reducing the need for people to spend all their time on site.
Together, these developments are helping organisations recruit from a wider talent pool, which is essential given the skills shortages that these industries face. However, creating access to these roles is only one part of the challenge. If organisations want AI to support more inclusive workplaces, they also need to consider how the technology itself is designed and whose perspectives have shaped it.
Culture remains a challenge
Technology is only one part of the solution. Organisations also need to ensure that the opportunities created by AI translate into real career progression.
Technology can make roles more accessible, but it does not decide who is given the opportunity to develop new skills, lead projects or progress into management. Those decisions are still made by people and are shaped by the culture of the organisation. If businesses want to create more inclusive workplaces, they need to ensure that development opportunities, leadership pathways and progression are accessible to everyone with the capability to succeed.
Careers are built through opportunities, and opportunities are still created by people, which means that developing a more inclusive workplace requires more than just technology. Organisations also need to invest in skills development, create clear career pathways and ensure that opportunities are based on capability rather than perceptions of who best fits the role.
Embedding inclusivity from the start
AI is opening doors for more women across traditionally male-dominated industries, but technology alone will not create more inclusive workplaces. The development of workplace solutions needs to be shaped by a broad range of perspectives, and organisations must address cultural issues and create environments where people have equal opportunities to develop and progress.
More diverse organisations consistently outperform those that lack diversity because they draw on a broader range of perspectives and experiences. If diversity is proven to lead to better business decisions, it should also help shape the technologies that increasingly support those decisions.
