Artificial Intelligence not only transforms technology and its pace, but also redefines social power. Companies are rapidly integrating AI, but the crucial pending discussion is: who designs these systems and which voices are excluded?
AI is a reality that automates tasks and changes roles. However, behind every algorithm are human decisions: which data is used, which problems are prioritized, and what type of solutions are built. Therefore, the impact of AI on technology is tied to representation, diversity, and access.
AI is not neutral: biases are also automated
There is a misconception that AI makes "objective" decisions. The reality is much more complex. Models learn from historical data and are trained by people who, consciously or unconsciously, carry cultural, social, and gender biases. At Women in Tech, we have raised our voice to highlight the danger of having homogeneous teams in charge of technology development, as the products will be just like their creators and will respond to a limited view of the world.
This has real implications. Today, AI is already involved in recruitment processes, financial analysis, customer service, recommendation engines, and productivity tools. In other words, algorithms are already influencing who accesses job opportunities, what information we consume, and how we interact with digital services.
The new gap: who uses AI and who is left out
As the adoption of AI grows rapidly, new gaps are also starting to appear in the labor market. A study by Lean In revealed that women use generative AI tools at a lower rate than men, mainly due to a lack of access, training, and trust in these technologies. At the same time, the International Labor Organization (ILO) warned that women face a greater exposure to job changes resulting from generative AI, particularly in administrative and operational roles where automation will be faster.
This poses an important challenge: if more women do not actively participate in the development, adoption, and leadership surrounding AI, there is a risk that current inequalities will not only continue but will be amplified. However, there is also a huge opportunity. AI can become a tool to democratize access to knowledge, accelerate learning, and reduce barriers to entry for new generations of tech talent.
Human skills will be more important, not less
Amid this transformation, the debate often focuses solely on technical skills. And yes: mastering tools related to data, AI, product, automation, and cybersecurity will become increasingly important. But there are other types of capabilities that are rapidly gaining value: critical thinking, communication, leadership, creativity, empathy, and decision-making in complex contexts.
Technology can automate processes, but it still depends on people to question results, understand contexts, and build responsible solutions. The true differentiator will not only be knowing how to use AI but knowing how to apply it strategically and with human judgment.
That is why, at Women in Tech, we believe that this moment demands something deeper than technological adaptation: it demands active participation. We need more women leading conversations about AI, building products, questioning biases, and making strategic decisions about the digital future.
There is one point we are clear on: no one goes through this transformation alone.
In an industry that changes every day, community becomes a strategic advantage. Sharing learnings, opening spaces for conversation, and building support networks will become increasingly important to navigate this new technological stage.
Our goal at Women in Tech is to continue creating spaces for conversation, innovation, and growth where more women can strengthen skills, develop leadership, and actively participate in designing the digital future.
Because the impact of AI on technological solutions is not defined solely by what technology can do. It is defined by who participates in building it, questioning it, and leading it.