We asked a $18.9B Investor how to survive the AI bubble

Alpine Investors achieves exceptional returns by combining elements of a traditional private equity firm with a search fund model. They recruit high-attribute individuals, often military veterans, and train them to become CEOs. These leaders are then placed into acquired 'prosaic' service businesses (like plumbing or HVAC) that Alpine has identified. The strategy involves buying a base company, then using its cash flow and debt to acquire numerous smaller 'tuck-in' businesses, creating a large, integrated platform. This approach leverages talent, a repeatable playbook, and the ability to acquire businesses others can't due to the need for management change.

Alpine's last four funds have done 5x or better over an average of six years per investment. They back 'high attribute like military veterans' to run businesses like plumbing, HVAC, and software roll-ups. The average add-on deal is $30 million for companies with $15-20 million in revenue. A specific example is Apex Service Partners, which grew from $8 million to $500 million in earnings in six years without additional equity, by combining a grizzled industry veteran with two trained co-CEOs.

Graham Weaver views the current AI app layer as significantly overhyped, drawing parallels to the dot-com bubble. He predicts that many venture-backed AI apps with high valuations and low revenue will ultimately fail because they lack sustainable competitive moats. The core issue is that large language models (LLMs) and established companies can easily replicate or absorb the functionalities of many AI apps, putting constant pressure on their business models. True success in the app layer requires proprietary data sets or deeply integrated customer interfaces, which are difficult to build.

Weaver graduated business school in '99, comparing the current AI hype to the dot-com era's 'petfood.com and Web Van.' He notes seeing 'venture-backed apps' with '$2 million of revenue and a $500 million valuation' that 'are going to go to zero.' He states that successful apps need to 'build proprietary data sets' or 'really deep interfaces with your customers' to create moats, otherwise, LLMs will 'absorb a lot of the rents.'

While AI apps are overhyped, AI can be a powerful tailwind for services roll-ups in prosaic industries. However, the technology itself will likely become commoditized, meaning everyone will eventually have access to similar AI tools. The real competitive advantage in these 'AI roll-ups' will still come from fundamental business principles: strong talent, effective integration, robust training, and building deep customer relationships. AI will enhance efficiency and operations, but it won't be the primary differentiator for long-term success.

Weaver argues that in industries like property management, the 'technology in many many industries is going to be is going to be commoditized.' He believes 'most people are going to have access to the same technology.' Therefore, winning in AI roll-ups still requires excelling at 'getting the talent right, getting the companies right, integrating, doing the transition management, having your workforce stay on, doing training, recruiting.' He advises graduates to pursue 'services roll up' in industries where 'you can build real moats and stickiness with the customers' using AI as a tailwind.

Achieving financial milestones, like earning a first million, often doesn't bring the expected happiness or peace of mind if underlying internal issues (e.g., feeling 'not enough') are not addressed. True wealth and freedom are more closely tied to managing one's 'denominator' (expenses) and creating a large cushion between income and spending. This allows for peace of mind and the freedom to pursue work that is genuinely enjoyable. Happiness is an internal state cultivated through self-awareness, therapy, coaching, and practices like meditation, rather than external achievements.

Weaver states he 'felt wealthy way before' having a million dollars in the bank due to his 'denominator' being small. He notes that when he finally had a million in the bank after 14 years, it was 'the most disappointing' because 'it didn't really change hardly anything.' He emphasizes that 'you're not going to solve an internal problem with the external outcome' and highlights the importance of 'internal work, therapy, coaching, journaling, meditation' to let go of limiting beliefs like 'I'm not enough.'