AI Is Changing Careers—Female Executives Share Real Everyday Impacts Female executives from JPMorgan, Monday.com, and FindMine share what AI is really doing to careers, identity, and the future of work, and why women can't afford to wait. t a time when the world is fixated on Artificial Intelligence , with a nonstop firehose of content, there is little documentation of the everyday impacts of AI careers. We know that AI is changing everything about the world as we know it, and there is a concern that the lessons of old, in areas like female representation and equity, will be lost in a race that is hyper-focused on speed. What we don’t know is exactly how it is impacting women's careers in this very moment. What are the tangible impacts, and how is it shifting professional identities and aspirations? On March 13th, in a boardroom in New York City, I brought together a group of senior women across fintech, enterprise tech, and the arts to cover exactly that. The premise was not to host a panel or a press moment, but instead to talk real examples of ways in which AI is actually changing their work, their careers, their teams, and their leverage, and gather thoughts on what is needed to ensure career longevity at a time of such mass uncertainty.When asked for examples of how AI can feel uncomfortable. The conversation didn’t start with job losses or agentic workflows. It started with LinkedIn. One woman shared that she uses AI to write her posts, but immediately feels like a fraud for doing so. She shared how for her and many women she knows, AI isn’t just changing how we work, it’s also changing how we see ourselves at work.showed that women are adopting AI tools at a rate 25% lower than men, a statistic explained by a fear of being scrutinized for doing so. A fear that, for many women, has been backed by data.that female engineers who used AI to generate code were rated 13% less competent than their male counterparts by reviewers evaluating identical outputs. For men, the competence penalty was 6%. Enterprise Ireland Women in AI event at 1 Liberty, NYC March 13th - Pictured are attendees Alicia Quinn and Michelle BacharachWhen those numbers landed in the room, Nancy Maluso, EVP of Enterprise Transformation at Origina, responded without hesitation. "You use weights to build muscle," she said. “The muscle is not fraudulent because a weight helped build it.” While her response saw heads nodding in unanimous agreement. The discomfort didn’t leave. Because, as another participant explained, there is an asymmetry that no one wants to name directly. Thoseare not stopping to think about a reputation tax on who or what delivered the results. They are thinking only in speed and scale of outcomes. While that may be an extreme example of AI usage, one thing is clear: the gap between should I and done is already starting toLindsay Browning, Regional Vice President of Enterprise Sales at Monday.com, named the identity piece clearly. "I truly believe that our professional identities are forever changed," she said. "Personally and selfishly, I am taking time every day to uplevel myself, to feel more confident, to feel more comfortable." She shared how her organization has invested in AI enablement at every level, paired with rigorous evaluation of which tools are actually generating return. "It’s an incredible shift," she said, “and we have to accept that." However, she was extremely clear that acceptance in no way means surrender. As Victoria Yanakos, COO of Dublin-based property technology firm Capella, added, "It’s sink or swim. Either adapt and learn to stay ahead of the curve, or get left behind."Roopa Bagur, a partnerships executive at JPMorgan, described what AI control looks like for her. She shared a realization that her AI-assisted presentations were technically excellent but did not sound like her. The fix she shares, "isn’t a workaround. It’s a discipline. Where I always add my layer on top, every time, i have to treat the reinjection of my own perspective as a non-negotiable.”Almost every woman in the room had independently arrived at the same takeaway: a need to keep the human in the middle. Not to compete with AI, but to collaborate with it on terms that ensure their judgment remains irreplaceable. But this is not control for controls sake but because the stakes of getting this wrong are increasingly high.Kirsten Ryan, Director of Pre-Sales at Broadridge, shared how she submitted a bid response to a major client that she knew was very accurate and built on institutional knowledge accumulated over many years. She was shocked to see a rejection, only to later learn that the client’s first-pass review was entirely AI-mediated. Every response that didn’t open with the word "yes" was automatically eliminated. What got her back in the contest? A phone call. Only a human connection, not an algorithm, could reopen the door.Michelle, co-founder of AI platform FindMine, refused the binary framing. "AI is not a monolith," she said, “for example, an AI sales agent negotiating with an AI procurement system works for commodity transactions. It does not work for enterprise deals where trust is the product.” While she shares that AI has had a huge impact on her career, it also has changed her personal life. "AI has helped me at home in a way that allows me to be a more effective knowledge worker," she said. As a mother of two running a company, the mental load reduction from scheduling, logistics, and household management has delivered as much practical gain as workflow automation. Dana Forfa, founder of Procure and Prosper, also saw benefits in all aspects of life. "I invested less than two thousand dollars in my company, and I now have six months of revenue coming in. I couldn’t do it without AI." She left a global corporate role because, as a mother of three, the travel was no longer sustainable. She shares that she used more than 3 AI models in any given day and is clear that AI didn’t just improve her productivity; it made the economics of entrepreneurship possible in a way it wasn't two years agoThe conversation got more nuanced when discussing what this means for the next generation. Shivaun Ryan, a Global GTM leader, described correcting AI-generated work with junior team members and being met with confusion. They trust the output because they can’t yet see the gap without pre-context exposure. Maria Gagic, Senior Vice President of Fintech and Financial Services at Enterprise Ireland, boiled it down, “You will give AI your job if you don’t embrace it. You get eighty percent of the work done from AI, but you need to go in and do the twenty percent. That twenty percent is where the value lives but without experience, you can’t see it. The responsibility for closing that gap falls on leaders." I ended the session with one question: what do you want to say to every woman who wasn’t in this room? Not what advice. Not what steps. What do you want them to know about the impact of AI on careers? The answer was the same across the table. There is no space for inertia. This is a moment for women to find their agency. Career safegaurding means embracing the technology, continuous learning and most importantly demonstrating the judgment, the relationships, and the human layer no model can replicate.