TechShe Sparks: Women Rocking Deep Tech

  Why Venture Capital Still Has a Blind Spot for Women in AI We’ve heard it before: “Just build something great and the funding will come.” Cute idea. Now let’s talk about reality. Because when women launch startups—especially in artificial intelligence—the cash doesn’t just not come. It dodges, delays, and disappears entirely. 🚨 The Numbers Don’t Lie (But VCs Might) In 2024, female-only founding teams received just 2.1% of all venture capital funding. Two. Point. One. Percent. And no, that’s not just for tech in general—it’s across all startups , including those in cutting-edge AI and machine learning. ( PitchBook ) Meanwhile, all-male founding teams snagged over 80% of the pie. So, we have to ask: if women are building AI that’s ethical, inclusive, and often outperforming, why aren’t the investors biting? 🤖 AI Founders, Real Disparities Women are entering AI entrepreneurship in growing numbers—but the funding gap hasn’t budged. Here’s what we’re seeing: Bias in...

  In the age of unicorn startups, hustle-porn LinkedIn posts, and “build in public” brag threads, it can feel like entrepreneurship is the only path to empowerment in tech . But here’s the truth, TechSheThink style: Not every woman wants to be the next tech CEO. And you know what? That’s not a flaw. That’s not fear. That’s a conscious, strategic, totally valid choice. We’re not here to worship the startup grind. We’re here to celebrate every woman shaping DeepTech—from inside research labs, Fortune 500 innovation hubs, government think tanks, and global policy circles. Because changing the world isn’t limited to founders. Sometimes, it starts with a quiet revolution in the boardroom, not a pitch deck. 🧠 The Research Rockstars Let’s take a moment to honor the women who are: Building quantum encryption algorithms. Training AI models to detect cancer. Writing peer-reviewed papers that change how we see the world. These women may not have a flashy company name o...

Let’s get one thing straight: Women in DeepTech are not quitting because they aren’t smart enough. Or resilient enough. Or “passionate” enough. They’re walking away because the system makes it unsustainable to stay. And at TechSheThink, we’re done pretending that burnout, gaslighting, and being the only woman in the quantum computing lab isn’t completely exhausting . The problem isn’t women leaving. The problem is the industry refusing to listen to why. Let’s dig into the real reasons women exit DeepTech—and what it’ll actually take to bring them back (and keep them). 🔥 Burnout, Baby (Not the Fun Kind) Burnout in DeepTech hits different. Why? Because it’s not just the long hours and late-night debugging marathons. It’s being: The only woman in a team of 20 engineers. Expected to lead and emotionally support everyone. Overlooked for promotion but praised for your “attention to detail.” Voluntarily doing 1.5 jobs for the price of 0.8. Burnout is not just about work vol...

  Let’s be clear: Women in DeepTech are not waiting for a seat at the table anymore—we’re building the damn lab. And yet… we still have to knock louder. Explain harder. Justify longer. Smile softer. Progress has happened—but it’s nowhere near the finish line. At TechSheThink, we’re not just here to high-five the wins. We’re here to point out the gaps, the flaws, the things that still don’t sit right in 2025. Let’s talk about the unfinished business of DeepTech—and why women in AI, quantum computing, cloud infrastructure, and STEM innovation are done with waiting politely. 🧠 Myth: "It’s Better Now, So Stop Complaining." Reality: Better isn’t the same as fair . Yes, we’ve seen growth in the number of women entering tech programs. Yes, there are more women-led startups than there were a decade ago. Yes, DEI policies exist. But let’s not confuse crumbs for cake. Women still hold only a tiny percentage of leadership roles in DeepTech sectors . Female-founded De...

  Personal branding. It’s the buzzword slinking into every webinar, every career workshop, every scroll of your “Women in Tech” feed. But here’s a thought: What if not branding yourself is actually the boldest move a woman in DeepTech can make? What if you didn’t have to curate a perfect personal brand, build a follower base, or hashtag your way into credibility? What if the code, the paper, the product, the prototype—you know, your actual work—was enough ? At TechSheThink, we’re all for empowering women to be seen—but we’re also here to question what “being seen” really means in DeepTech. So let’s explore the quiet power of showing up and building brilliant things without a megaphone . 🔬 Welcome to DeepTech, Where Quiet Wins Still Matter Unlike influencer culture or traditional tech entrepreneurship, DeepTech is fundamentally about substance over sizzle . We’re talking: Quantum cryptography. AI-driven protein folding. Neural networks trained on terabytes of c...

  Let’s be real: DeepTech is messy. It’s bold, it’s experimental, and it sometimes sets a pile of VC funding on fire for a concept that just doesn’t pan out. You know what that’s called? Science. And if you're a woman in DeepTech—building startups, writing algorithms, pitching to investors with eyebrows permanently raised— you’ve probably learned more from what didn’t work than from what did . This one’s for the women who shipped buggy software, ran models that broke, or had product launches so quiet you could hear the imposter syndrome creeping in. Let’s talk about failure —and why it’s not just okay, it’s actually core to DeepTech innovation. 🚧 DeepTech Isn’t Supposed to Be Easy DeepTech isn’t a photo filter app or a drop-shipping hustle. It’s: Quantum computing that breaks classical models. AI models that need entire GPUs just to say “hello.” Clean energy solutions that have to scale from lab bench to planet Earth. So when things go sideways—when your edg...

  Let’s talk about DeepTech—where neural networks dance, quantum computing flirts with the edge of physics, and AI learns faster than your caffeine-fueled brain during finals week. Sounds thrilling, right? Unless, of course, you’re a woman. Because somehow , in 2025, there are still people clutching onto outdated, dusty myths about who belongs in DeepTech—and who doesn’t. Well, we’ve brought the data, the sass, and a whole lot of sense to burn those myths to the ground . Let’s get myth-busting, TechSheThink style. 🧠 Myth #1: “Women just aren’t as technical.” Let’s translate that: “I’ve never worked with a woman who out-coded me, and that makes me nervous.” The idea that women don’t have the technical chops for DeepTech is… cute. If you live under a rock and still think punch cards are high-tech. Here’s the real story: Women are leading research in quantum computing , bioinformatics , and cloud infrastructure . Top AI labs are hiring women scientists in record numbe...

Launch smarter, work faster, and grow boldly—with AI as your sidekick. Starting a business used to mean wearing all the hats—CEO, marketer, designer, accountant, copywriter... you name it.  But in 2025, smart women founders are handing off the busywork to their new favorite team member: Artificial Intelligence. This curated list of AI tools isn’t just trendy—it’s powerful.  These tools can help you launch faster, market smarter, and work more efficiently, all without needing a tech degree. Whether you're dreaming up your next big idea or scaling your side hustle, here’s your AI-powered starter kit. --- 1. Zapier – Your Workflow Wingwoman Connect all your apps and automate tasks like magic—so you can focus on your real genius. 2. ChatGPT – Content + Strategy Genie From writing blog posts to brainstorming offers, ChatGPT helps you think, write, and plan like a pro. 3. Darktrace – Your Cybersecurity Shield Worried about hackers? This AI tool protects your biz from onl...

AI isn’t just the future—it’s now. Whether you’re a creative, a founder, a freelancer, or someone just figuring out where you fit in the digital world, these are the 15 AI skills that’ll shape careers, startups, and even dinner table conversations in 2025.  And no, you don’t need a PhD in computer science. You just need curiosity, courage, and coffee. Let’s break them down: --- 1. Prompt Design (a.k.a. ChatGPT Whispering) Learn to craft effective, tailored prompts for AI tools like ChatGPT, Claude, or Gemini. Think of it as learning to speak “AI.” The better your prompts, the better the results—whether you're drafting emails or building lesson plans. --- 2. AI Workflow Automation . Why do repetitive tasks when AI can do them? Master tools like Zapier, Make.com, and n8n to automate emails, forms, lead generation, content planning—your whole digital world. --- 3. Agent Orchestration This isn’t sci-fi. It’s real. Learn to coordinate multiple AI “agents” that can research, analyze, and...