The AI Edge: What the Smartest Companies Are Doing Differently
From 6x faster teams to reshaped job markets — how AI-native thinking is redefining leadership, operations, and the boardroom.
Dear Readers,
You may have noticed a subtle shift in the tone and structure of recent newsletters.
As someone who consumes a lot of AI news, I’ve realized much of it is just that — news. Interesting, but not always actionable. When I launched this newsletter, my goal was clear: to deliver practical AI insights that leaders and board members can actually use to inform decisions and shape strategy.
The old format wasn’t quite delivering on that promise.
So I’m evolving it — less noise, more clarity. Each edition will now focus on a small set of high-impact insights designed to help you think ahead, plan smarter, and lead better in the age of AI.
Let me know how this new direction is landing for you. In today’s edition, you’ll find four fresh insights — each chosen to help you cut through the noise and focus on what truly matters.
Thanks for reading and being part of this journey.
Warmly,
Raffaela
In this issue of The AI Leadership Edge, I cover:
The AI native company: How to make every team member 6x faster
AI innovation: Inspiration for the years ahead
What CEOs want the board to know, but are afraid to say
Microsoft reveals where AI hits jobs the hardest
The AI native company: How to make every team member 6x faster
Lenny’s Podcast — a go-to source for product minds in Silicon Valley — recently featured Dan Shipper, founder of Every, in a standout episode on building truly AI-native operations.
Here are my top takeaways:
Appoint an “AI Operations Lead”
A dedicated role to help teams adopt AI tools effectively. This person ensures everyone on the team is working smarter, not harder. This helps busy people identify repetitive tasks that would benefit from AI, and save them the time to identify or build AI solutions themselves. The AI operations person does all the legwork for searching, building and testing AI-native ways to speed up each team member.AI Will Drive Job Reshoring
As AI boosts productivity in developed markets, roles like customer service — once offshored — may return, handled by more qualified, AI-enabled local talent.AI-First Operations Win
Across industries, teams that embed AI deeply into coding, research, service, and execution are outpacing the rest. But this shift only works if leaders lead by example — showing the way, not just talking about it.
A must-listen for anyone building the future of work. Full episode here.
AI innovation: Inspiration for the years ahead
Y Combinator — one of the world’s most influential startup incubators — has just released its Fall Request for Startups, outlining the kinds of ventures they want to fund next.
This is more than just a startup wishlist — it’s a strategic pulse check. For any forward-thinking leader, it offers valuable signals about what’s emerging, what’s needed, and how your own organization might need to evolve to stay ahead.
Here’s a decoded overview by Greg Isenberg that breaks it down clearly.
What CEOs want the board to know, but are afraid to say
The unprecedented speed of technological and geopolitical change demands clearer, more direct communication to move faster and smarter.
I enjoyed"Mr. Strategy’s" decode of what CEOs want boards to know — but are often afraid to say.
See full post here.
Microsoft reveals where AI hits jobs the hardest
Based on 200,000 real Bing Copilot chats, Microsoft analyzed which jobs AI is actually impacting today.
Top takeaways:
AI is mostly used for info gathering and writing; it performs tasks like teaching and advising.
New "AI applicability scores" show the biggest impact in tech, admin, and sales roles.
Least affected? Hands-on jobs like nursing assistants, surgeons, and maintenance workers.
Why it matters: Understanding where AI fits in helps both workers and leaders adapt skills for the future.
I often get asked:
“How do you become a board director?”
or
“How can I position myself better on LinkedIn so the right people start reaching out?”
I’m opening up a few limited spots to help with exactly these questions—whether you're looking to land your first board role or elevate your visibility to attract the right opportunities.
If this sounds like something you need, feel free to reach out via dm or my website. I'd be happy to help.











Super interesting insights, thanks! Curious about your views on the AI Ops role… sounds like most AI Lead roles, do you think there’s an optimum set of roles that companies wanting to make a step change in their AI approach should start with, until they build more maturity in their capabilities and adoption?
Sure 😂