The pressure to stay relevant in tech has never been higher. But what “relevant” even means keeps changing.
According to the World Economic Forum, 44% of core skills will shift by 2027, while LinkedIn data shows skills are evolving faster than ever. Add AI into the mix, and for many professionals, growth no longer feels steady. It feels like trying to keep up with something that keeps moving.
For women in tech, the pressure often goes further. It’s not just about learning and adapting. It’s about staying visible, building credibility, and proving value in environments where recognition isn’t always equal. The expectation becomes layered: perform, adapt, learn, and prove it again.
In recognition of Women in Tech Day on April 4, we wanted to pause and ask a more honest question: how are women actually navigating this right now?
We sat down with six senior leaders in tech:
- Aishwarya Shah, Senior Analyst at Fidelity Investments
- Gayatri Tavva, Senior Data Engineer at Amazon
- Madhushree Kumari, Staff Software Engineer at Visa
- Nandita Giri, Senior Software Engineer at Microsoft
- Pradnya Desai, Senior Technical Architect at Salesforce
- Surekha Chikoti, VP, AI Product Strategy, Partnerships & GTM Growth at Lumay.ai
We asked them the questions that many women in tech are already thinking, but rarely say out loud.
1. What does “staying relevant” actually mean when there’s a constant underlying fear that AI, or someone using AI better, could replace you?
Staying relevant isn’t about racing against AI; it’s about learning to think with it. I’ve felt that "replacement anxiety" too, but I’ve realized AI is a force multiplier for clarity and intent—it doesn’t replace them. The people who stay indispensable aren’t the ones who memorize every prompt, but the ones who truly understand which problem actually needs solving. AI provides the answers, but we still have to ask the right questions. AI can help with tasks, but we need human accountability, interaction and governance.
Staying relevant today is less about competing with AI and more about learning how to work with it effectively. It starts with curiosity, being open to exploring new technologies and understanding how they can enhance your productivity and decision making.
For example, a student preparing for interviews cannot bypass the need for strong technical skills, but they can use AI to create personalized preparation strategies, simulate interviews, and accelerate learning. Similarly, professionals in tech can integrate AI into their daily workflows to deliver more impact with greater efficiency.
Relevance is not about knowing everything. It is about knowing how to leverage the right tools to amplify your strengths.
Staying relevant isn't about out-coding an LLM or memorizing every new library. In 2026, it means cultivating "Human-in-the-Loop" discernment. It’s the ability to look at AI-generated output and know based on lived experience why it’s technically right but strategically wrong. Relevance is your ability to connect dots that data alone cannot see.
For me, staying relevant no longer means “knowing everything.” That’s impossible now. It means developing leverage—understanding how to use AI as a collaborator rather than seeing it as competition. The people who will thrive are not the ones who resist AI, but the ones who learn how to ask better questions, design better systems, and apply judgment where AI cannot. Relevance is shifting from knowledge to decision-making and adaptability.
Upgrading yourself is most important. Identify the right technologies for the skills you need to learn which will help to scale your job profile. Decide how much deep knowledge we want to acquire, so it will increase productivity. Technologies are changing frequently, so do not stick to one particular technology or skills, understand the algorithms/logic that help you to work on any platform. AI tools available in the market are not self sufficient yet make sure you validate the results.
2. What is one skill you’re intentionally not learning right now and why?
I’ve stopped chasing every "AI Tool of the Week." Early on, I felt this frantic pressure to try everything, but it just led to shallow knowledge and burnout. Now, I choose depth over noise. I’m focusing on how AI fundamentally rearchitects business workflows and data integrity rather than just playing with new interfaces.
At this stage in my career, I am intentionally not focusing on deep, low level coding skills. Instead, I prioritize understanding systems, business context, and architectural design.
As a tech leader, the ability to see the bigger picture, how systems interact, how decisions impact outcomes, and how to design scalable solutions, is far more critical. Strong foundational concepts and strategic thinking create significantly more long term value than chasing every new technical detail.
I am intentionally not learning low-level syntax for multiple new languages. With AI handling the heavy lifting of boilerplate and syntax, I have realized that being "syntax-perfect" offers diminishing returns. I would rather spend that mental energy on System Design and Ethics, which are much harder to outsource.
I’m intentionally not chasing every new AI framework or tool that comes out weekly. It’s tempting, especially in my field, but I’ve realized that constantly switching contexts reduces depth. Instead, I focus on foundational concepts—like system design for AI agents and real-world application patterns—because tools change, but underlying thinking compounds.
3. With constant new tools, trends, and “must-learn” skills, how do you decide what actually matters for your next step not just what feels urgent?
I use a simple filter: "Will this skill still matter in 12 months?" If the answer is no, it’s usually just urgency disguised as importance. Most of my career growth hasn't come from chasing trends, but from doubling down on the "boring" foundations—data storytelling, stakeholder alignment, and framing ambiguous problems.
I approach new tools with awareness, not urgency. It is important to understand what a tool does, its purpose, and where it fits, but not every tool needs to be mastered.
The key is to align learning with your goals. Whether it is career progression, a promotion, or building a specific capability, focus only on what directly supports that path. Chasing every trend can quickly lead to overwhelm, while intentional learning creates clarity and momentum.
4. Upskilling is often framed as “do more, learn faster, keep up.” At what point does this pressure stop driving performance and start driving burnout and disengagement for women?
Upskilling becomes toxic the moment it feels like an obligation rather than a choice. For women in tech, there’s an unspoken "visibility tax"—a feeling that we have to know twice as much just to stay in the room. When we’re constantly "learning" but never applying, we aren't growing; we’re just exhausting ourselves. Growth requires reflection, and reflection requires white space.
Upskilling becomes counterproductive when it is driven by comparison rather than purpose. Constantly measuring yourself against others or trying to keep up with every trend leads to burnout.
Instead, it is important to define what you need for your career progression and focus on that. Learning should be intentional and aligned with your goals, not reactive to external pressure. Growth is sustainable only when it is purposeful.
It happens the moment your curiosity is replaced by anxiety. When you are learning because you are afraid of being "found out" or "left behind," you aren't actually absorbing information you are just performing busyness. For women, who often carry a higher cognitive load at home this "performative learning" is the fastest route to total disengagement.
It crosses the line when learning stops being intentional and becomes reactive. When you’re constantly consuming but not creating or applying, it leads to fatigue and self-doubt. I’ve experienced phases where I was learning a lot but feeling increasingly behind—that’s a clear sign of burnout disguised as productivity.
If we take too much on a plate and don’t delegate properly, then we feel burnout. We are using AI tools to make our lives easier, but sometimes tools bring complications, so make sure you select the right tool. Or if I am trying to learn so many new skills, and most of them may not be needed for your job.
5. How do you personally build a learning strategy that fits into your life, not one that takes it over?
I’ve moved away from "adding" learning to my day and started integrating it. I learn by solving the real, messy problems in my current projects—like optimizing a specific data flow using a new LLM. I’ve also given myself permission to pause. Consistency over a year beats intensity over a week, every single time.
I build learning into my routine in a structured and realistic way. I plan my time intentionally, set clear limits, and prioritize activities that contribute to either my professional or personal growth.
For example, I dedicate short, focused time blocks, such as 30 minutes for reading summaries or curated content. At the same time, I consciously reduce time spent on activities that do not add value. A sustainable learning strategy is one that integrates into your life, not one that overwhelms it.
I integrate learning into my work rather than treating it as an extra task. For example, I pick problems at work that force me to learn something new. I also keep my learning scope intentionally small—one or two focus areas at a time. As a mother, this constraint is actually helpful; it forces prioritization and eliminates unnecessary pressure.
6. For women in tech, staying current is closely tied to visibility and credibility. What are the 2–3 things that actually increase your visibility, not just your workload?
There is a massive difference between being "busy" and being "seen." To increase visibility without drowning in tasks, I focus on:
- Sharing the "Why": Giving the strategic context behind a data insight, not just the numbers. Asking the right questions is one of the most crucial aspects of this market.
- Owning Ambiguity: Stepping into the messy, undefined projects where clarity is the highest value-add.
- Making Thinking Visible: Speaking up in decision-making rooms, even when it’s uncomfortable. Visibility is about your perspective, not your output.
Visibility comes from contribution, not just effort.
First, do not hesitate to share your ideas, whether they are technical insights or business perspectives. You do not need to be perfect. Your voice matters.
Second, actively participate in discussions and forums. Engaging in conversations builds both credibility and confidence.
Third, cultivate curiosity, especially early in your career. Asking why not only deepens your understanding but also signals initiative and critical thinking.
Visibility grows when you show up consistently and authentically.
Strategic Curation: Instead of doing all the work, be the one who synthesizes the results for leadership.
Mentorship: Teaching a junior colleague a complex system scales your influence far more than finishing one extra ticket.
Show your wins early: Instead of waiting months, share small successes as they happen. A quick post or a short update in a meeting builds a reputation for steady, great work without adding to your to-do list."
7. With so much information available, how can platforms like WomenTech Network that host expert webinars, panel discussions with tech leaders and global conferences better support women in cutting through the noise and focusing on what actually drives career growth?
Platforms like WomenTech Network already play a powerful role by creating spaces where women can learn, share, and collaborate.
To further enhance impact, the focus should be on structured guidance, helping members connect learning opportunities directly to career outcomes. Curated pathways, practical insights, and real-world experiences can help women move from information overload to meaningful action.
Equally important is maintaining a safe, supportive environment where women can express ideas freely and build visibility without fear of judgment.
Curation is key. Instead of more content, we need better pathways. For example, structured learning tracks (e.g., “AI for Product Engineers” or “Staff Engineer Growth Path”) would help members focus on what matters at their stage. Also, more real case studies—what actually worked for someone in a similar position—would be far more valuable than generic advice.
8. Looking ahead to 2026, what is one mindset shift women in tech need to make to stay relevant—without burning out?
The most important shift is moving from learn everything to learn what matters.
Clarity is the antidote to burnout. When you define your goals and focus only on what truly supports them, you reduce noise, increase impact, and build sustainable growth.
Relevance in the future will not come from doing more. It will come from doing the right things with intention.
Choose what matters. Stay focused, keep momentum, learn from everyone, and contribute meaningfully.
I’m guided by integrity, impact, curiosity, and bringing people together. I bring energy and intention into everything I do, staying committed to delivering value and keeping promises. Growth comes from consistent action, and when we move with purpose, we lift others along the way.
“Love fully, live authentically, and remember we are all capable of radiance in everything we do.”
Join the Movement, Shape the Future
What became clear through these conversations is that staying “relevant” in tech is no longer about chasing every new skill or trend. It’s about building resilience in the face of constant change, being intentional about growth, and defining success on your own terms. For these leaders, relevance isn’t a moving target to fear—it’s something they actively shape through continuous learning, community, and confidence in their expertise.
But their stories also highlight something deeper: progress doesn’t happen in isolation. It happens when women support each other, share knowledge openly, and create spaces where growth feels possible—not overwhelming. In an industry evolving as rapidly as tech, community is no longer optional. It’s essential.
As we mark Women in Tech Day, this is a moment not just to reflect, but to act.
Join the WomenTech Network, explore Membership Opportunities, and be part of the conversations shaping the future of tech. And don’t stop there, take it one step further by joining the Women in Tech Global Conference, happening May 12-15, Virtual, where thousands of women in tech from around the world come together to learn, connect, and lead.





