
A recent report reveals that a significant majority of women in the tech industry are optimistic about artificial intelligence serving as a catalyst for equal opportunities. According to the findings from apna.co, a career platform, 78% of female respondents believe AI can facilitate access to more desirable job prospects. The study, which surveyed over 11,300 women in technology across India, highlights a notable trend towards workplace equity. Among the participants, 52% were from Generation Z (under 25 years old), with nearly 60% coming from tier II and III cities, while two-thirds attended non-elite educational institutions. Furthermore, the report indicates that women are proactively preparing for an AI-centric future. Around 58% of respondents are currently engaged in AI or machine learning training, whether through their jobs, formal education, or self-study, with an additional 24% planning to start their training soon. The enthusiasm is particularly strong among Gen Z participants (62%) and those from tier II-III colleges (70%). Career aspirations among these women lean heavily toward high-demand roles in AI. Nearly half of the surveyed women aim to become AI software developers, followed by 19% targeting positions in data science and machine learning, 14% in product management, and 10% in research fields. This trend underscores a clear prioritization of industry-relevant careers. Nirmit Parikh, the CEO of Apna.co, expressed his admiration for the findings, noting, "It's inspiring to see that women in tech are ready to embrace AI - not just as a buzzword, but as a genuine driver of equal opportunity." The report also highlights a shifting perception about the importance of AI expertise. Almost two-thirds (64%) of women in tech believe that having AI skills is now more valuable than graduating from an elite institution. This sentiment is particularly pronounced among Gen Z respondents (62%) and women from tier II-III cities (74%). However, challenges persist. When asked about barriers to pursuing opportunities in AI, 42% of women cited the need for better access to quality chances, 27% pointed to the necessity for stronger mentorship, and 19% emphasized the demand for advanced training opportunities.
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