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First Move  ·  Big Tech  · 
Inside the giants — Saturday morning, 17 October

Big Tech Shifts AI Spending Focus as Wall Street Demands Returns, Not Just Investment

Major tech companies are recalibrating their AI infrastructure investments, with a new emphasis on profitability and demonstrable returns over sheer capital expenditure.

EDITION 2026-10-17 · EVERY CLAIM SOURCED · GROUNDED VIA SEARCH AT PUBLISH
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The story

The landscape of artificial intelligence investment among Big Tech firms is undergoing a notable shift, with companies now prioritizing demonstrable returns over extensive spending. This week, signals emerged from Microsoft and Meta Platforms indicating a recalibration of their AI infrastructure plans.

Microsoft is reportedly trimming its 2026 capital expenditure forecast and canceling data center leases, reflecting a more cautious approach to growth. Meta, similarly, is adjusting its infrastructure strategy, utilizing layoffs to help fund its AI initiatives.

This marks a departure from the previous "spend-at-all-costs" mentality that characterized the initial AI gold rush. In contrast, Apple's capital-light AI strategy has seen its shares rise approximately 25% in 2026, presenting a different model for navigating the expensive AI race. The market is increasingly rewarding companies that can illustrate clear paths to profitability from their AI investments, rather than those simply committing the largest budgets.

Who moved

Microsoft

What Changed: Trimming its 2026 capital expenditure forecast and canceling some data center leases.

Why It Matters: Signals a more disciplined approach to AI infrastructure investment, prioritizing efficiency and clear returns.

Meta Platforms

What Changed: Recalibrating AI infrastructure plans and using layoffs to fund AI spending.

Why It Matters: Indicates a shift towards optimizing costs and demonstrating financial sustainability in its AI ventures.

Apple

What Changed: Shares are up approximately 25% in 2026 due to its capital-light AI strategy.

Why It Matters: Highlights a successful alternative model focusing on efficiency and less massive infrastructure spending compared to rivals.

Anthropic

What Changed: Faces investor pushback, with its IPO valuation now discussed around $1.5 trillion, down from a prior $2 trillion target.

Why It Matters: Reflects growing investor scrutiny on AI company valuations, particularly after quarterly revenue growth slowed to 45%.

Products & launches

Muse Spark Open

Company: Meta Platforms

What: Released as Meta's "most capable U.S. open-weight model to date."

iPhone Duo

Company: Apple

What: Launched with prices starting at $1999 for the 256GB model, featuring a "renewable" inner display layer.

Minions

Company: Apple

What: A new system that utilizes idle GPUs in Apple Silicon Macs to form a virtual GPU cloud for complex AI workloads.

Safari (beta)

Company: Apple

What: New UI elements in the latest beta suggest preparation for a touchscreen MacBook and macOS 27 launch.

Platforms & policy

Apple vs. OpenAI

Development: The companies are heading to court for the first major hearing in Apple's lawsuit, which accuses OpenAI of using confidential information to support its upcoming hardware products.

Financial Services (Charles Schwab, JPMorgan Chase)

Development: Major financial institutions are blocking external AI agents from accessing customer accounts, citing concerns over liability and control.

Money & markets

Anthropic. IPO valuation is now discussed around $1.5 trillion, down from a prior $2 trillion target, after quarterly revenue growth slowed to 45%.

Apple. Shares are up approximately 25% in 2026, driven by its capital-light AI strategy.

Microsoft. Trimming its 2026 capital expenditure forecast, indicating a more measured approach to infrastructure spending.

Meta Platforms. Generated just $784 million in quarterly free cash flow while spending over $31 billion on capital expenditures, highlighting the high cost of AI investment.

What we'll be watching

Reporting + analyst voices: grounded via Google Search at publish time.