AI Investing Strategy: UBS Reveals 4 Ways to Profit by 2025

UBS Global Wealth Management has released its 2025 AI investing playbook, outlining four strategic approaches for investors to capitalize on what the bank predicts will become a trillion-dollar industry before the end of the decade. Just two years after ChatGPT’s launch, the AI revolution is accelerating at an unprecedented pace, with tech giants Alphabet, Amazon, Meta, and Microsoft projected to invest $222 billion in AI capital expenditures by year-end.

Mark Haefele, Chief Investment Officer of UBS Global Wealth Management, emphasizes AI’s transformative potential: “If AI’s potential can be realized, we believe it could augur a productivity revolution, and contribute to lower prices for various goods and services and higher rates of economic growth.” The bank’s optimism stems from an increasing number of companies demonstrating profit-driving AI use cases, particularly in healthcare, cybersecurity, and fintech sectors, where new revenue streams are emerging.

UBS’s first recommendation is portfolio allocation adjustment, suggesting investors maintain approximately 25% of their equity portfolio in AI-exposed stocks. Haefele warns that “the sheer pace of growth in the industry means that investors who were underallocated before have become even more underallocated,” highlighting the risk of missing out on this rapidly expanding sector.

The second strategy focuses on the “enabling layer” — the foundational infrastructure powering AI development. This includes semiconductor companies, data centers, and cloud service providers receiving the bulk of Big Tech’s massive capital investments. UBS particularly favors US fabless chip designers and Taiwanese foundries with strong technological advantages and limited substitution risk.

Energy infrastructure represents the third investment opportunity, as AI’s power demands are expected to increase data center electricity usage from 4% to 9% of total US consumption by 2030. UBS recommends investing in electrical grid infrastructure upgrades and transition metals like copper and aluminum, prioritizing companies with strong financial health in solar, wind, nuclear, and natural gas-hydrogen technologies.

Finally, UBS advises balancing mega-cap tech investments with emerging players. While Big Tech dominates currently, the bank identifies non-listed companies specializing in large language models, software, and data centers as the next wave of beneficiaries. However, investors should note the $396 billion revenue opportunity in the application layer remains largely untapped, with definitive winners yet to emerge.

Key Quotes

If AI’s potential can be realized, we believe it could augur a productivity revolution, and contribute to lower prices for various goods and services and higher rates of economic growth.

Mark Haefele, Chief Investment Officer of UBS Global Wealth Management, articulated this vision in the bank’s 2025 outlook, emphasizing AI’s potential to fundamentally transform economic productivity and combat inflation through efficiency gains.

We believe a neutral allocation to artificial intelligence would involve allocating around 25% of an equity portfolio to stocks with a high degree of exposure to the technology.

Haefele provided this specific portfolio guidance, offering investors a concrete benchmark for AI exposure while acknowledging individual risk tolerance variations.

The sheer pace of growth in the industry means that investors who were underallocated before have become even more underallocated.

This warning from Haefele highlights the accelerating nature of AI investment opportunities, suggesting that static portfolio allocations quickly become outdated in this rapidly evolving sector.

Companies with strong financial health and competitive advantages in solar, wind, nuclear, and natural gas-hydrogen technologies should be prioritized.

UBS’s energy investment guidance emphasizes quality over speculation, recognizing that building AI-supporting energy infrastructure requires substantial capital and time, making financially robust companies essential for long-term success.

Our Take

UBS’s comprehensive AI investment framework marks a maturation point for AI investing, moving from pure speculation to strategic, diversified approaches. The 25% portfolio allocation recommendation is notably aggressive, reflecting genuine conviction rather than cautious optimism. What’s particularly insightful is the emphasis on the “enabling layer” — recognizing that infrastructure providers may offer more predictable returns than application-layer companies still searching for sustainable business models.

The energy angle is especially prescient, as power constraints could become AI’s primary bottleneck. The projected doubling of data center electricity consumption represents both challenge and opportunity, potentially creating winners in unexpected sectors like utilities and grid infrastructure. However, the $396 billion application layer opportunity remains speculative, suggesting patience may reward investors who wait for clearer winners to emerge rather than chasing every AI startup. This balanced approach — combining established infrastructure plays with selective exposure to emerging opportunities — represents sophisticated thinking about AI’s multi-layered economic impact.

Why This Matters

This UBS analysis represents a critical roadmap for investors navigating the AI revolution’s next phase, moving beyond speculative hype to concrete investment strategies backed by measurable economic impact. The $222 billion capital expenditure figure from tech giants demonstrates unprecedented commitment to AI infrastructure, validating the technology’s long-term viability and creating a ripple effect across multiple industries.

The prediction of AI becoming a trillion-dollar industry by 2030 signals a fundamental economic transformation that extends far beyond technology stocks. Industries like healthcare, cybersecurity, and fintech are already generating new revenue streams, while the 9% projected electricity demand from AI data centers by 2030 will reshape energy markets and accelerate grid modernization efforts.

For businesses and workers, this investment wave suggests AI adoption will accelerate dramatically, potentially delivering the productivity revolution UBS envisions. The emphasis on both mega-cap stability and emerging opportunities indicates the AI ecosystem is maturing, creating diverse entry points for investors while highlighting the technology’s expanding reach across the global economy.

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Source: https://www.businessinsider.com/ai-investing-strategy-stocks-data-centers-portfolio-gains-2025-ubs-2024-12