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From 78% Cost Reduction to $190 Billion Capex: Alphabet's Two-Speed AI Engine

05.06.2026 - 16:46:56 | boerse-global.de

Alphabet's AI strategy: 78% Gemini cost cut, $180-190B capex, Berkshire's $10B bet, Texas gigawatt data centre, and job reallocation.

Alphabet's Paradox: Slash Costs, Spend $190B on AI Infrastructure
From - From 78% Cost Reduction to $190 Billion Capex: Alphabet's Two-Speed AI Engine 05.06.2026 - Bild: ĂĽber boerse-global.de

When a company simultaneously slashes costs and embarks on a record-shattering spending spree, investors might wonder which direction the needle is flipping. For Alphabet, the answer is both — and the logic hinges entirely on artificial intelligence.

The search giant has cut the inference costs for its flagship Gemini model by 78% since 2025, while planning capital expenditures between $180 billion and $190 billion this year alone — nearly double the $91.5 billion spent in 2025. The apparent contradiction dissolves once you grasp the strategy: cheaper operations unlock massive scale, and massive scale demands relentless infrastructure investment.

Berkshire Hathaway Places a $10 Billion Bet

The clearest signal of institutional confidence arrived with Berkshire Hathaway’s decision to join an $84.75 billion capital raising package. In a private placement led by Greg Abel, Berkshire snapped up Class A shares at around $352 and Class C shares at roughly $348 — a 6% to 7% discount to where the stock traded before the announcement. The deal vaults Alphabet into Berkshire’s third or fourth largest portfolio position.

The broader package combines a $40 billion at-the-market offering with roughly $34.75 billion in public equity and bond sales. Moody’s called the move credit-positive, noting it shores up liquidity for the global data centre build-out while keeping the leverage ratio stable at around 0.7 times.

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A Gigawatt Data Centre Rises in Texas

On the ground, Alphabet is transforming ambition into concrete and cable. On 4 June, the company broke ground on the Meitner Energy Center in Texas — a facility that pairs a hyperscale data centre with over one gigawatt of on-site power generation from wind, solar, and battery storage. A gas-fired backup ensures baseload reliability. The centre uses air cooling rather than water, and a dedicated workforce hub can house up to 3,500 workers. It is the first piece of a broader $40 billion commitment to Texas through 2027.

Gemini Gets Cheaper — and Reaches Billions

The cost curve on Gemini is the engine behind that expansion. Serving costs for the model have plummeted 78% since last year, enabling Alphabet to push its AI Overview feature to an estimated 2.5 billion monthly users. CEO Sundar Pichai frames the trade-off as simple arithmetic: AI demand outstrips supply, and internal efficiency gains must help finance the necessary compute infrastructure.

Yet the competitive pressure remains relentless. OpenAI is reportedly planning to spend up to $50 billion on computing capacity in 2026 alone. Alphabet’s countermove combines cost discipline with targeted capital measures — including convertible preferred shares and the new at-the-market offerings — to keep pace without blowing up the balance sheet.

Job Cuts in the Name of AI Reallocation

The efficiency drive has a human cost. The latest round of layoffs hit the Threat Intelligence group and Mandiant, the cybersecurity firm Alphabet bought for roughly $5.4 billion in 2022. Exact headcount reductions were not disclosed, but the pattern is industry-wide: since the start of 2026, 164 technology companies have cut over 116,000 positions, redirecting capital toward generative AI.

Cloud revenue offers a counterweight to the headwinds. Google Cloud surged 63% year-on-year to $20 billion, though the unit continues to restructure even as it grows. A new consulting partnership with IBM will place thousands of certified IBM advisers alongside Google Cloud specialists to help enterprises deploy AI. Workday, meanwhile, is embedding its Gemini-powered agents deeper into HR and finance workflows.

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Stock Holds Its Ground

The market has absorbed the mixed signals with relative calm. Alphabet’s shares trade around €319, roughly 9% below the 52-week high of €350.75 set in May. The relative strength index sits near 48 — neutral territory — and the stock remains about 5% above its 50-day moving average, suggesting the medium-term uptrend is intact.

Performance figures vary by timeframe: the stock has gained nearly 19% year-to-date, while over the past twelve months it has vaulted more than 116% from the lows of mid-2025. The disconnect between short-term caution and long-term optimism reflects the central question facing the company.

The Margin Question

All eyes are now on the second-quarter earnings report. Operating margin came in at 36.1% in the first quarter, and analysts will want to see whether Alphabet can sustain that level while pouring money into infrastructure. The sheer scale of the capital raise — combined with Berkshire’s endorsement — suggests the market is willing to give Pichai the benefit of the doubt, for now. But the math between lower AI costs and higher capex will ultimately need to add up on the bottom line.

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