The rules of the product used to be stable. Optimize. Test. Iterate. Scale. That playbook no longer holds.
On this episode of The Scaling CEO, I sat down with S.C. Moatti, managing partner at Mighty Capital and founder of Products That Count. She has lived through multiple platform shifts, from mobile to social to AI and her message to CEOs was direct.
Product is being reinvented in real time.
And if you are scaling a company, you cannot afford to operate on outdated assumptions.
Why AI Breaks the Old Product Playbook
For years, product leaders relied on experimentation frameworks like A B testing and multivariate testing. You shipped slowly, learned cautiously and optimized incrementally. AI changed that.
“What’s happening with AI is AI is sort of taking that role of constant experimentation,” S.C. told me. “You do not need to experiment with a product before you roll it out. You can experiment at any time.”
That sounds like freedom. It is also dangerous. AI does not behave predictably. Left unchecked, it optimizes in unexpected directions. Sometimes that reduces customer trust instead of increasing it.
“So there are these new tools that are emerging called evals that are trying to put boundaries around the hallucinations of an AI,” she explained. “We’re going from a culture of experimentation to trying to create boundaries around AI native products.”
As a CEO, this matters because speed without control creates risk. You still own the outcome.
From Newton to Einstein in Business Scaling
S.C. introduced a metaphor that every scaling CEO should internalize.
“We used to rely on certain laws of physics,” she said. “Rule of 40. Triple triple double double. That’s Newtonian physics.”
AI has pushed companies into a different reality.
“What’s happening right now with AI is we’re in Einstein land,” she said. “Everything moves so fast that you can no longer rely on those traditional magic numbers.”
Her firm calls this the Product Alpha Effect. Instead of backward-looking financial ratios, they track live product signals like engagement velocity, iteration speed and proprietary data leverage.
For CEOs, the implication is uncomfortable but clear.
Your financial metrics still matter. They just no longer tell the whole story early enough.
Why Revenue Growth Is Easier and More Dangerous Than Ever
One of the most counterintuitive insights S.C. shared was about traction.
“It’s relatively easy to bump up revenue really fast and artificially,” she said. “Traction is not actually quite as relevant as people think it is.”
AI lowers the cost of experimentation, pilots and customer acquisition. That creates surface level growth without durability.
As an investor, she looks harder at:
- The strength of the team
- The defensibility of the product
- The terms of the deal
“The team is more important than ever,” she said. “And valuation discipline matters because we are seeing more acquisitions happen faster.”
For CEOs, this is a warning. Fast growth can hide weak foundations. Boards and investors are adjusting. You must as well.
How CEOs Should Actually Use Their Board
Many first-time CEOs treat their board like a compliance obligation. Reports go out. Meetings happen. Nothing really changes. S.C. sees this as a major blind spot.
“A lot of founders think of their board as the pointy hair boss,” she said. “I would encourage them to switch mindset to how do I put my board to work.”
Her advice was practical.
- If you need enterprise customers, ask for introductions.
- If you need capital, ask for targeted investor access.
- If you need credibility, ask for signal amplification.
“If it’s not easy for them to help, they’re going to be a hindrance,” she said.
Boards want to be useful. CEOs need to be specific.
When the CEO Hits the Wall
Every scaling CEO eventually hits a point where personal output cannot keep pace with company velocity.
S.C. was candid about this phase.
“This is part of the job,” she said. “To constantly grow and reinvent.”
Her strategy is not a heroic grind. It is perspective.
- Time away from the business.
- Conversations with experienced investors.
- Coaches who can see what you no longer can.
“You’re so close to it,” she said. “You need someone who can help you see the bigger picture.”
This is not a weakness. It is leadership maturity.
Why AI Changes the CEO Role Permanently
I asked S.C. to speak directly to CEOs who are not AI native but want to survive the next few years.
Her answer was blunt.
“If you’re a medium-sized company and you’re not transitioning to be AI native within the next year, you’re going to be out of business,” she said.
She has seen this movie before.
“I was at Nokia,” she reminded me. “It had more than 40 percent global market share. In two years, it disappeared.”
The lesson is not panic. It is urgent.
AI is not a feature. It is an operating model shift. CEOs must drive it personally or risk irrelevance.
Final Thought for Scaling CEOs
Product is no longer static. Leadership cannot be either.
The CEOs who win next will not be the ones with the best slide decks or the cleanest forecasts. They will be the ones who understand that speed, boundaries, data and judgment must evolve together.
That is the new art and science of scale.
I am Glenn Gow. I coach CEOs who are ready to scale with confidence. On my podcast, I uncover the strategies elite leaders rely on to grow bigger and faster without losing control of the business.
Listen to the full episode of The Scaling CEO with S.C. Moatti to hear how product excellence, capital discipline and AI are reshaping how real companies scale.
