AI Salon - Week of 10/28

The Leaky Pipeline Problem in AI

October 28, 2025

In partnership with

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As AI moves from general to specific, we’re entering the era of Vertical AI—applications built for healthcare, finance, climate, and beyond. And here’s the opportunity: the next generation of transformative AI products won’t just come from technical experts—they’ll come from people who deeply understand the problems that matter most.

Our Women in AI Report 2025 shows that women’s domain expertise is one of their biggest advantages in shaping this future. Let’s unpack how that becomes a leadership superpower.

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🌟 Big Idea of the Week

Vertical AI & Women’s Domain Expertise: The Next Frontier of Leadership

We’re moving past the era of generic chatbots and copywriting tools. The next wave of innovation will be Vertical AI—deeply specialized models solving industry-specific problems.
Think: diagnostic assistants in women’s health, risk models that make lending more equitable, and AI-driven climate forecasting that prioritizes sustainability over speed.

Women are uniquely equipped to lead this shift. According to our report, women in tech are overrepresented in cross-functional and customer-facing roles, where domain fluency is highest. That perspective—rooted in empathy, systems thinking, and lived experience—will define the next generation of trustworthy, useful AI.

Why it matters:
The industry doesn’t just need more women coding models; it needs more women designing what those models are for.

This week’s challenge:

  • Map your expertise: What industry or audience do you know best?

  • Identify one use case where AI could make a real difference in that space.

  • Start small—draft a one-sentence idea for a “Vertical AI” product you’d love to exist.

🛠 Tactical Tip

1. Speak the Language of Problems, Not Products
Start every AI conversation with: “What’s the human pain point?” Domain experts win by framing solutions around lived realities, not tech hype.

2. Build an AI “Point of View” Deck
Summarize 3–5 problems in your field that AI could solve. Use this to guide ideation or pitch yourself as a thought leader in your org.

3. Stay Curious About Industry Data
Explore datasets relevant to your expertise—open-source health data, ESG analytics, or financial risk models. Understanding the raw material of AI helps turn ideas into prototypes.

💡 Spotlight: Women Pioneers in AI

Dr. Daphne Koller – Co-founder of Coursera and CEO of Insitro, Koller is pioneering the fusion of biology and AI to revolutionize drug discovery. Her company applies machine learning to predict how molecules behave in the human body, speeding up the path from lab to life-saving treatment.

Her mantra: “AI is only as powerful as the problems it’s applied to.”

📰 Quick Hits: AI in the News

  • OpenAI launches “GPT-4 Turbo Agents” to let developers build autonomous, task-executing workflows. Read more →

  • Salesforce debuts “Einstein Copilot Studio”, giving no-code teams the power to create industry-specific assistants. Read more →

  • Anthropic announces “Claude for Education”, advancing explainable AI for learning environments. Read more →

  • Aluna Health, a female-founded startup, raises $10M to personalize chronic care management through Vertical AI. Read more →

🤝 Community Happenings

  • Recommend AI Salon to a friend!

  • Share your AI wins: Did you prototype with AI this week? Reply and we’ll feature members in next week’s issue.

💬 Closing Note

General AI may make the headlines—but Vertical AI will make the impact.
And when women lead those verticals, AI doesn’t just get smarter—it gets fairer, more ethical, and more human.

Until next week—keep leading with your expertise, your empathy, and your ambition. ✨

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