In partnership with
From The Desk Of Beatrix Lamarr
This week, California passed new laws protecting actors from having their faces and voices cloned by AI without clear consent — even after death. In an era where technology can mimic almost anything, it’s a strong stance: your image is not up for grabs.
The news echoed the legacy of Hedy Lamarr — the glamorous screen siren and brilliant inventor whose story helped shape mine.
I was named for her.
Not just for the red lips and old-Hollywood elegance, but for the way she defied every box they tried to place her in.
“The ladder of success in Hollywood is usually agent, actor, director, producer, leading man; and you are a star if you sleep with them in that order.”
She said it with a wink. But the truth behind it still lingers:
Hollywood executives have long exploited talent for profit — and AI only made it easier.
These new protections matter. They remind us that innovation and integrity aren’t mutually exclusive — and in California, at least, the future of AI is being built with both in mind.
Yours in Beauty, Brains & Bots,
Beatrix 💋
HER POWER BRIEF
💄 Google’s $5M AI Training Fund for Small Biz — Are You On the List?
If you've been watching the AI wave from the sidelines, waiting for the right moment to jump in — this could be it.
Google just pledged $5 million to train 40,000 small businesses in how to actually use AI — not in theory, but in your day-to-day ops. Through a new partnership with the U.S. Chamber of Commerce, they’re launching a three-year initiative to offer free, practical AI training: how to apply it, what to avoid, and what actually works for real-world business owners.
No engineers required. No hype. Just strategy, clarity, and case studies you can learn from.
This is a rare opportunity to build AI literacy inside your business — especially if you’ve been craving systems, smarter workflows, and sustainable scale.
📍 Applications open in early 2026.
📍 Join the waitlist via your local Chamber of Commerce.
💄 AI Perpetuates Age Discrimination — Zero Women Surprised
Of course it does. But now we’ve got receipts.
Image: Science News
A new study in Nature has confirmed what women have long known: when it comes to age and authority, AI doesn't just mirror bias — it mechanizes it.
Here’s what they found:
When asked to generate résumés for people with female names vs. people with male names, ChatGPT made women’s profiles younger by an average of 1.6 years. Then, it ranked those résumés lower — as if youth equaled inexperience and inexperience equaled incompetence.
The training data behind those decisions? Skewed from the start. Online images portray women as younger than men, especially in positions of power. The more prestigious the title, the more likely the man is to look like someone’s silver-fox uncle. The woman? Fresh-faced and interchangeable.
And here’s the kicker: AI isn’t just reflecting that bias. It’s reinforcing it. By generating, ranking, and recycling these patterns, it quietly codes women — especially older women — out of the picture.
✨ The takeaway: This isn’t about a bug in the system. It is the system.
AI won't fix bias on its own. If we want tech that serves women — all women, at every stage of our careers — we have to build it, question it, and hold it accountable.
We don’t disappear with age. We just get better.
The Future of the Content Economy
beehiiv started with newsletters. Now, they’re reimagining the entire content economy.
On November 13, beehiiv’s biggest updates ever are dropping at the Winter Release Event.
For the people shaping the next generation of content, community, and media, this is an event you won’t want to miss.
TOOLS IN VOGUE
💄 OpenAI Agent Kit: The Beginning of the End for Make and n8n?
OpenAI just launched AgentKit — a new toolkit for building and embedding AI agents into real-world products and workflows. It includes a visual Agent Builder, a Connector Registry, and ChatKit for creating custom, chat-based experiences.
Learn more about it here.
It’s powerful. It’s elegant. And yes, it feels like the beginning of something big.
But is it ready to replace tools like Make or n8n?
Not quite.
Make still dominates when it comes to easy, visual “if this, then that” automations. It’s great for setting up repeatable workflows between apps, syncing data, or building systems that work while you sleep. If you're looking for intuitive logic and plug-and-play ease, it delivers.
n8n takes things further — open-source, self-hostable, and developer-loved. It gives you deep control over how data, AI, and custom logic interact. Want to use multiple LLMs? Mix APIs? Or run complex, branching workflows with fallback logic? n8n’s already doing it.
AgentKit, on the other hand, is early — but promising. While it doesn’t yet offer the integration breadth or logic depth of tools like Make or n8n, it opens the door to a new kind of builder: one focused on cognition, reasoning, and native OpenAI ecosystem design.
For now, it’s less about replacing Make or n8n — and more about expanding what’s possible.
The question isn’t if AgentKit will compete.
It’s how soon.
Have you tried it yet?
⬇️ Spread The Movement ⬇️
Know another incredible woman in AI who would love this newsletter? Use the button below to share it with her, your email list or community.