Apple’s market value hit $4.9 trillion, nudging it past Nvidia’s $4.8 trillion after Nvidia’s shares slipped 3.7 % on Friday.

From AI-heavy hardware to AI-enabled devices

Nvidia rode a wave that began in May 2025, when investors poured capital into the expensive servers needed for large-scale generative-AI models. Those bets lifted its market cap above Apple’s for months, but the tide is turning. Analysts say the massive spend required to build and upgrade AI infrastructure is now yielding diminishing returns, prompting a “sector rotation” toward firms that can embed AI inside products already owned by billions.

Apple is banking on its 2.5 billion-device ecosystem.

Nvidia still powers most training runs, but the market now questions whether a hardware-only story can sustain the lofty valuations seen during the AI boom.

China’s green light and the rise of local rivals

A key catalyst for Apple’s surge is Chinese regulators’ recent approval to launch Apple Intelligence features in the country. China represents a massive user base; tapping it could add a noticeable boost to Apple’s revenue outlook and reassure investors that the company can grow beyond its saturated U.S. and European markets.

At the same time, Chinese AI startups are accelerating. Moonshot, for example, delivers models that challenge OpenAI and Anthropic’s offerings. Those models run on locally developed hardware, reducing dependence on Western chipmakers. If Chinese models capture enough market share, demand for Nvidia’s high-end GPUs could soften, pressuring the chipmaker’s stock.

Numbers that matter

  • Apple’s shares are up 21 % from their June trough and 23 % year-to-date, outpacing the other members of the “Magnificent Seven” tech group.
  • HSBC upgraded its outlook on Apple, citing the company’s unique position to profit from the next wave of AI-driven adoption.
  • Nvidia’s 3.7 % dip pushed its market cap just below Apple’s, ending a run that began in May 2025.

The market’s re-pricing reflects a view that consumer-centric AI can generate recurring revenue with less volatility than the capital-intensive chip business.

What the shift means for India

  • Digital ecosystem expansion – As Apple layers more AI capabilities onto its devices, Indian consumers who upgrade to premium iPhones and iPads will demand higher-end hardware, lifting sales in a segment where Apple has been gaining traction.
  • Supply-chain diversification – Apple’s focus on device-side intelligence reinforces its “Make in India” push, encouraging the company to source more components locally and reduce reliance on Chinese factories. The move opens contracts for Indian manufacturers and logistics firms.
  • Software and talent opportunities – With AI moving from data-centre chips to on-device applications, Indian engineers and AI specialists can contribute to app development, model optimization for limited-resource hardware, and services that run on Apple’s platform. The change expands the slice of the global AI value chain that India can capture.

Takeaway: Apple’s ascent to the top of the market-cap chart underscores a growing belief that AI’s biggest commercial prize lies in everyday devices, not just in the data centres that train the models. For Indian developers, manufacturers and policymakers, the shift opens a fresh set of opportunities—and a new competitive front—against the traditional chip-driven AI narrative.