PEoperator⚡️
12.7K posts

PEoperator⚡️
@PEoperator
Former private equity operator. Current CEO. Sharing deals, stories, and lessons from my career | book recs: https://t.co/6HlJT9UxgA








Here are 13 things learned after making a big push to integrate AI into our companies: 1. We haven’t replaced a single external SaaS tool with something we built internally. 2. We have refrained from hiring numerous entry level jobs because AI can do the work faster/better/cheaper. 3. The automation provided by AI highlights how much time every person was wasting on tedious tasks daily. 4. Each company is capturing more revenue and each employee is becoming more productive. 5. There is still a bit of apprehension in giving agents full control of machines or systems. 6. There has been no obvious trend in age, gender, or role for those who adopt AI the fastest. More of a mindset than anything. 7. Many non-technical people have started to create software tools or products, which has changed the speed of execution across the companies. 8. One downside is the AI slop across written documents/memos. If humans don’t review the content, it is painful to read and I worry critical thinking gets lost. 9. The implementations of AI are incredible once you get them done, but it is much more difficult to build/implement than most people want to communicate online. Persistence needed! 10. We have walked away from numerous potential small acquisitions because we realized we could build the product ourselves for a fraction of the cost. 11. Our best engineers are invincible now. They produce high quality products at warp speed. Forget 10x engineers, they are 1,000x engineers now. 12. The adoption of AI starts at the top. If the company leader is not constantly asking “how do we automate this?,” it is harder to drive internal change. 13. I am personally working harder than I have in a long time and having more fun than ever. It feels like a moment in time that has to be seized. Overall, I believe AI is underestimated, not overestimated. The worries about SaaS software are probably overblown. The labor market impact is very real and only accelerating. Businesses are fundamentally changing. Start paying attention!


Golden Age of Industrial Private Equity Outperforming returns are more likely to come from industrial and hard-asset businesses. The TransDigm playbook is the blueprint.

There is no high comparable to the optimism right after closing a deal. In fact, yesterday on day 1 of the latest I randomly blurted out to CEO “this may be the best deal ever”. This latest one, the 13th I’ve been involved with in my career, may have the highest potential I’ve seen. Every deal is different. But every deal is the same. I can’t say I’ve been a part of any epic failures and all have found success eventually. But, I’ve experienced variability in how long it takes to get to “success” after closing. Always different. What’s always the same is there is a significant amount of change management required from the buying and selling business. At my prior company I participated in a global leadership meeting focused on change management. Northwestern University led the session and shared a chart similar to this that I think explains it well. Speed in business wins. Speed in getting through the valley of despairs wins in deals. One insight I’ll share for leaders of organizations is to know that everyone across both companies is always at a different point in this curve. The companies are a collection of individuals. Learn to see cues and take note of people’s motivation and optimism levels - you can have a huge impact on moving through valleys of despair quickly. #JustADealGuysThoughts


Jeff Bezos, worth $234 billion, plans to replace 600,000 Amazon workers with robots. Now, he wants to spend $100 billion to fully automate not just his warehouses, but factories in the U.S & other countries. Oligarchs are waging all out war against workers. FIGHT BACK.













