Value Investing in the AI Age: How Berkshire Hathaway Built a $123 Billion Artificial Intelligence Stake

The passing of leadership at Berkshire Hathaway from Warren Buffett to new chief executive Greg Abel marked the close of an historic 60-year chapter. Between 1965 and 2025, Buffett steered the conglomerate to a compound annual return of 19.7%, transforming a modest holding company into a $1 trillion powerhouse. While the leadership has changed, the investment philosophy remains intact: find wide-moat businesses with reliable earnings, steady growth, and disciplined capital return programmes.

What a closer examination of Berkshire's $330 billion equity portfolio now reveals, however, is striking. Despite a long-standing aversion to speculative market trends, 37.4% of the portfolio's entire value sits in three companies that are aggressively deploying artificial intelligence to entrench and expand their competitive positions.

Rather than pursuing pure-play AI startups, Berkshire has demonstrated how patient capital can build deep AI exposure through businesses that already possess the infrastructure, the customer base, and the cash flow to make that technology work at scale.

APPLE: THE CONSUMER AI GATEWAY

Despite Buffett trimming roughly three-quarters of Berkshire's stake through 2024 and 2025 to manage concentration risk and realise capital gains, Apple remains the portfolio's largest single holding at 20.7%.

Apple's AI strategy is built around vertical integration and edge computing rather than raw cloud model competition. By embedding specialised neural processing hardware directly into its proprietary silicon, Apple has transformed its device catalogue into the delivery vehicle for Apple Intelligence, its native AI ecosystem.

On-device capability: Apple Intelligence introduces writing tools, proofreading, image generation, and automated summarisation natively into iOS and macOS, reducing cloud dependency for core AI tasks.

Siri evolution: An upgraded, context-aware Siri functions as a localised AI orchestrator, using a deep partnership with OpenAI's ChatGPT for complex cloud-bound requests.

Distribution advantage: With over 2.5 billion active devices globally, Apple does not need to develop the most advanced foundational model. It owns the most direct gateway to the consumer at scale.

The initial cost basis for Berkshire's Apple position was approximately $38 billion. At its peak, the position was valued above $170 billion, a return profile few technology bets in market history have matched.

COCA-COLA: OPERATIONAL AI IN A CONSUMER DEFENSIVE

Coca-Cola represents one of Buffett's most celebrated long-term positions, acquired between 1988 and 1994 for $1.3 billion and now valued at approximately $32.7 billion. In 2025 alone, the holding generated $816 million in passive dividend income for Berkshire.

While widely categorised as a legacy consumer defensive, Coca-Cola has systematically integrated AI across its global enterprise operations.

Microsoft Azure partnership: Under a five-year, $1.1 billion technology commitment, Coca-Cola uses Azure OpenAI Service to overhaul supply chain logistics, optimise distribution, and embed Copilot-powered productivity tools across its workforce.

Algorithmic product development: AI-driven predictive engines have been used to generate new flavour concepts and consumer simulations. Products such as Y3000 and Zero Sugar Y3000 were developed using models designed to anticipate future taste preferences rather than retrospective consumer testing.

For investors tracking enterprise AI adoption across consumer markets in the Gulf, Coca-Cola's approach illustrates how legacy FMCG businesses can deploy AI as an operational efficiency and innovation engine without a fundamental business model transition.

ALPHABET: DEFENDING THE SEARCH MOAT WITH NATIVE AI

Berkshire first established a position in Alphabet during Q3 2025. Under Greg Abel's leadership, the conglomerate nearly tripled that stake in Q1 2026, elevating Alphabet to Berkshire's fifth-largest holding at 6.8% of the portfolio.

The rationale addressed a market mispricing. When conversational AI chatbots first gained widespread adoption, Wall Street feared they would divert traffic from traditional search, threatening the platform that generates roughly half of Alphabet's total revenue. That concern proved premature. Alphabet responded by integrating generative AI directly into the Google Search product.

AI Overviews: Synthesises text, images, and verified third-party links into holistic answers directly on the search results page. Increases overall search volume and broadens query interaction per user session.

AI Mode: Transitions the user from a traditional search grid into a conversational, deep-dive chatbot interface. Lengthens session duration and unlocks new advertising placement surfaces.

The financial result was unambiguous. Google Search generated a record $60.4 billion in revenue in Q1 2026, a 19% year-on-year increase and the fourth consecutive quarter of accelerating growth.

For observers of AI adoption across the MENA region, Alphabet's performance is particularly relevant. Google Search commands dominant market share across the Gulf and North Africa, meaning every AI-driven revenue acceleration in the platform translates directly into increased value for advertisers, publishers, and digital businesses operating in the region.

THE VALUE INVESTOR'S FRAMEWORK FOR AI EXPOSURE

The alignment of Apple, Coca-Cola, and Alphabet within Berkshire's portfolio illustrates a thesis that has gained traction among institutional investors globally: the most durable AI exposure does not require buying unprofitable, speculative technology companies.

The businesses Berkshire chose share three structural characteristics.

Unmatched distribution: Each company reaches hundreds of millions or billions of users, consumers, or customers daily without needing to acquire them from scratch.

Free cash flow capacity: Each generates the capital required to fund AI infrastructure, partnerships, and research at a scale that smaller competitors cannot replicate.

AI as a moat-widener: In each case, artificial intelligence deepens the existing competitive advantage rather than creating a new, unproven one.

For business leaders and investors across Saudi Arabia and the wider Gulf evaluating how to approach AI as an asset class, Berkshire's approach offers a structural template. The question is not which AI company to back. The question is which established businesses in your market possess the distribution, the data, and the capital to deploy AI most effectively over the next decade. Those are the positions worth holding.