Apple offers AI for free; Magnificent Seven muscle grows as Berkshire trims 60M Apple shares

Apple will offer AI free; a refreshed Siri could speed upgrades and hint at new devices. The Magnificent Seven now near 40% of the S&P 500 as Berkshire pares Apple.

Published on: Jan 01, 2026
Apple offers AI for free; Magnificent Seven muscle grows as Berkshire trims 60M Apple shares

Apple's Free AI Bet, 'Magnificent Seven' Weight, and Berkshire's Trim: What It Means

Apple plans to offer AI services for free. If the Siri relaunch hits, expect stronger iPhone, Mac, and iPad demand-and possibly new AI-centric hardware like smart eyewear.

As of December 2025, Apple remains in the "Magnificent Seven," the tech group that now represents about 40% of the S&P 500's market cap, up from roughly 15% a decade ago. In 2025, Berkshire Hathaway sold more than 60 million Apple shares across Q2 and Q3, while Apple still ranks as one of Berkshire's largest positions. AAPL recently slipped around 0.45%.

Key facts

  • Apple aims to provide free AI services; a better Siri could lift device sales and open the door to new products (e.g., smart eyewear).
  • By Dec 2025, the "Magnificent Seven" together make up about 40% of the S&P 500, up from ~15% 10 years ago.
  • Berkshire Hathaway trimmed its Apple stake by 60M+ shares in 2025 (Q2-Q3), but Apple remains a top Berkshire holding.

Why Apple's "free AI" angle matters

Charging nothing for core AI features is a moat play. It strengthens ecosystem lock-in, raises daily engagement, and can nudge upgrades without a monthly paywall.

The trade-off: short-term cost pressure from inference and R&D. If Apple captures more device sales and services growth, the math still works. Watch how much of the AI workload runs on-device vs. cloud to gauge margin impact.

Implications for your role

For investors

  • Upgrade cycle: A stronger Siri could shorten replacement timelines, supporting revenue in high-ticket hardware.
  • Margins: Free AI = cost center first, retention engine later. Track gross margin commentary and capex signals.
  • Index concentration: With the "Magnificent Seven" at ~40% of the S&P 500, concentration risk is real. Stress test passive-heavy portfolios and factor tilts.

For IT leaders

  • Device policy: If AI features default on-device, data handling may improve-but verify before rolling out at scale.
  • Pilot early: Run contained pilots on corporate iPhones/Macs, measure productivity, and monitor network/compliance impact.
  • Procurement timing: Align refresh cycles with Siri's relaunch window to capture user benefits without mid-cycle swaps.

For developers

  • Siri-first UX: Expect deeper intents and context. Design flows that reduce taps and work with voice + multimodal inputs.
  • On-device ML: Optimize for low latency and privacy. Prepare graceful fallbacks to cloud models when needed.
  • APIs/SDKs: Watch for new frameworks that let apps register capabilities via Siri. Build small prototypes now to move fast post-release.

Berkshire's sale: signal or housekeeping?

Trimming 60M+ shares can simply be risk management on an outsized winner. It doesn't automatically read as a negative thesis shift. Berkshire often reduces exposure to manage concentration, liquidity, or taxes.

What matters next: Apple's capital returns, services growth, and how AI features affect hardware demand and margins. If those hold, long-term narratives stay intact.

What to watch next

  • Siri relaunch date and real-world quality: latency, accuracy, and integration depth.
  • Monetization stance: which AI features remain free vs. any premium layers introduced later.
  • Hardware cadence: iPhone and Mac refreshes aligned to on-device AI capabilities.
  • Cost structure: on-device vs. cloud inference mix, GPU commitments, and traffic offload strategies.
  • Index concentration debate: potential index methodology discussions and passive flow effects.
  • Berkshire's next filing: position size changes and any commentary on Apple exposure.

Quick actions

  • Finance: Recheck portfolio concentration limits; model scenarios for Apple-led upgrade waves.
  • IT: Prepare MDM policies for AI features; test controlled rollouts before company-wide adoption.
  • Developers: Draft Siri-intent user stories; prototype voice-first flows and context handling.

If you want structured upskilling around AI from top tech ecosystems, explore this curated directory: AI courses by leading companies.

For broader context on market concentration, this overview is useful: S&P 500 concentration explained (S&P DJI).


Get Daily AI News

Your membership also unlocks:

700+ AI Courses
700+ Certifications
Personalized AI Learning Plan
6500+ AI Tools (no Ads)
Daily AI News by job industry (no Ads)
Advertisement
Stream Watch Guide