Investment Surge in AI Marginalizes Women

Data reveals women-led AI firms raise an average of six times less capital than male-only teams.

The tech sector's chronically low investment in female-led companies extends to AI, with all-male teams receiving 80% of AI venture capital funding from 2012-2022, according to the Alan Turing Institute. In contrast, women’s teams in the UK garnered a scant 0.3%.

Dr. Erin Young from Euronews Business points out that AI's funding gender gap could reinforce biases within AI technology. Since AI reflects its creators' perspectives, a lack of diversity may affect the ethics and safety of AI systems.

There are signs of progress, with the Institute recommending measures for balanced gender representation, including hiring incentives, up-skilling, retention, promotion of women and prioritizing inclusion as a KPI. A supportive company culture is also advised.

Despite the sector's expansion, typified by OpenAI's valuation of over $80 billion, there's a gender disparity in AI skills: double the number of men than women aged 16-24 know how to program. Academic AI research also shows disparity, with women making up only a quarter of researchers.

The European Commission and European Investment Bank have recognized that unconscious biases, network limitations, and technical field underrepresentation contribute to women entrepreneurs' funding challenges in all sectors, not just tech.

Young suggests VC firms reassess their practices to improve female representation in AI funding. Addressing recruiting biases and expanding leadership roles can commence change.

With relatively few female role models in venture capital, initiatives such as Women in AI and Women in Tech are critical, linking women entrepreneurs to mentors and investors, promoting more STEM education for women, and reinforcing their presence in the startup ecosystem.