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The AI investment opportunity is broadening from 'enabler' companies building the tech to 'adopter' companies using it to boost productivity. Adopters now offer better value as consensus underestimates how their efficiency gains will compound, while their valuations have become more attractive after a reset.

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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.

The true financial windfall from AI won't come from hyped, "AI-native" companies like OpenAI. Instead, established giants like Meta and Amazon will generate massive shareholder value by applying AI to optimize their existing, scaled operations in areas like ad targeting, logistics, and robotics.

Europe's investment opportunity in AI lies not in creating foundational technology, but in its adoption. European companies leading in AI adoption are showing significant earnings outperformance and trade at a 27% discount to US equivalents, representing a distinct and undervalued growth angle.

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.

The significant gap between AI's theoretical potential and its actual business implementation represents a massive market opportunity. Companies that help others integrate AI and become 'AI native' will win, not necessarily those with the most advanced models.

During a mid-cycle transition, market leadership shifts towards quality, asset-light businesses. This trend aligns with a preference for companies adopting AI to improve efficiency (e.g., high sales per employee) rather than the highly-valued companies enabling AI infrastructure.

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.

Europe's primary AI bull case is not in creating foundational AI but in its large base of "AI adopters." These firms, a quarter of the index, show strong earnings outperformance and trade at a significant 27% discount to US equivalents, presenting a unique investment angle.

The initial AI investment phase, focused on infrastructure providers, is ending. The market now demands proof of ROI from AI adoption. Companies that can translate AI into measurable improvements in productivity, margins, and free cash flow are the new leaders, shifting focus from abstract potential to tangible evidence.

Shift AI Investments from Tech 'Enablers' to 'Adopters' Whose Valuations Have Reset | RiffOn