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Traditional value stocks face an existential threat from AI. The HALO strategy mitigates this by focusing on companies AI cannot replace but can make more efficient, such as railroads or copper mines. This provides a modern framework for finding undervalued assets without the risk of technological obsolescence.
Beyond AI infrastructure, Lone Pine's "Revenge of the Dinosaurs" thesis posits the next wave of value creation will come from large, established companies. These incumbents will adopt AI to slash costs and boost efficiency, leading to significant profit growth and making them the next compelling AI investment theme.
As AI infrastructure giants become government-backed utilities, their investment appeal diminishes like banks after 2008. The next wave of value creation will come from stagnant, existing businesses that adopt AI to unlock new margins, leveraging their established brands and distribution channels rather than building new rails from scratch.
If AI is truly transformational, its greatest long-term value will accrue to non-tech companies that adopt it to improve productivity. Historical tech cycles show that after an initial boom, the producers of a new technology are eventually outperformed by its adopters across the wider economy.
Navigate AI's uncertainty with a two-sided "barbell" approach. On one end, make high-risk bets on "AI-first" businesses. On the other, invest in stable industries AI won't eliminate, such as healthcare, food, and entertainment, which cater to timeless human needs.
As AI commoditizes software, the most defensible businesses are no longer asset-light SaaS models. Instead, companies with physical world operations, regulatory moats, and liability are safer investments. Their operational complexity, once a weakness, now serves as a formidable barrier against pure AI-driven disruption.
Instead of betting on unknowable AI winners, a better strategy is to find quality companies the market has written off as "losers" due to AI fears. Similar to the unloved "old economy" stocks during the dot-com bubble, these perceived victims could offer significant upside if the disruption threat is overblown.
The AI investment case might be inverted. While tech firms spend trillions on infrastructure with uncertain returns, traditional sector companies (industrials, healthcare) can leverage powerful AI services for a fraction of the cost. They capture a massive 'value gap,' gaining productivity without the huge capital outlay.
Drawing a parallel to the early internet, where initial market-anointed winners like Ask Jeeves failed, the current AI boom presents a similar risk. A more prudent strategy is to invest in companies across various sectors that are effectively adopting AI to enhance productivity, as this is where widespread, long-term value will be created.
To capitalize on the AI boom while mitigating risk, investors should focus on 'enablers'—companies providing essential infrastructure like semiconductors, data centers, and cloud services. This 'picks and shovels' strategy avoids betting on specific application-level winners, which was a losing strategy for many dot-com investors.
In response to AI's potential to commoditize software, investors are shifting capital to "HALO" businesses like industrial manufacturing and aerospace. These sectors feature heavy physical assets and complex operations that are difficult for AI to replicate, promising lower obsolescence risk.