Post by Women Shaping AI

AI is changing workplace skills faster than many companies can keep up. A new TalentLMS survey of 1,500 U.S. workers found that 47% say some of their job skills have become outdated within the past five years. Meanwhile, 70% say employees need faster ways to practice and apply new skills as job demands evolve. Source: But the shift is not being experienced evenly. Women are more likely than men to be unsure whether their skills are still relevant. And when it comes to learning new skills, women and men are turning to different sources: 🔷 45% of women learn by asking someone who already has the skill, compared with 39% of men 🔷 29% of men use generative AI tools for learning, compared with only 19% of women 🔷 36% of managers say they struggle to keep up with how quickly AI is changing the skills their teams need AI fluency is quickly becoming part of how people learn, adapt, and stay competitive at work. Peer learning is powerful. In fact, it may be one of women’s greatest advantages in this moment. But if men are more likely to use AI as a learning partner, while women are relying more heavily on people around them, organizations need to pay attention. The answer is not to replace peer learning with AI. It is to combine both. Women need access to: 🔷 Practical AI learning 🔷 Trusted peer communities 🔷 Managers who make skill expectations clear 🔷 Safe spaces to ask questions and experiment 🔷 Faster ways to apply new skills in real work The AI skills gap is not only about training. It is about confidence, visibility, support, and whether people have trusted pathways to keep learning as work changes. At Women Shaping AI, we believe women should not have to navigate this shift alone. Women Shaping AI is a global community where women from all walks of life come together to learn about AI, build confidence and capability, and open doors for each other. If that resonates, we’d love to have you join us: www.womenshapingai.com #womenshapingai #womeninai #aileadership #futureofwork #workplacelearning