Mag 7 News — Week Ending June 26, 2026

The market did not sell everything. It sold the biggest technology and AI names.

The Nasdaq fell 4.6% and the Mag7-focused MAGS ETF lost 5.9%, while the Dow gained 0.6%. Micron showed that AI demand remains powerful, but Apple and Microsoft showed who may be paying the bill through higher component costs.

That’s 6 sales in 7 months. 29 all time. And the performance?

16.5%, 17.6%, and 17.8%, net annualized returns on sold works held longer than one year (See all 29 at Masterworks.com)

It’s not from stocks, private equity, or real estate… it’s from contemporary and post war art. Crazy, right?

With Masterworks, you don’t need to be a BILLIONAIRE to invest in multi-million dollar art anymore.

Historically, the segment overall has had attractive appreciation and low correlation to stocks.*

Masterworks targets works featuring legends like Banksy, Basquiat, and Picasso, identifying what they believe to have significant long-term appreciation potential, not just at the artist level but at the level of individual artworks.

As one of the largest players in the art market, with $1.3 billion invested over 500 artworks, they pass critical advantages through to their 70,000+ members to add art to their portfolios strategically.

Looking to diversify your investments in 2026?

Click here to skip the waitlist

^{*According to Masterworks data. Investing involves risk. Past performance is not indicative of future returns. See important Reg A disclosures at masterworks.com/cd.}

Apple became the clearest example of AI demand raising costs outside the data center.

What happened: Apple increased prices on several Macs and iPads, including a $200 rise for some models. It blamed the rapid expansion of AI data centers for creating an extraordinary shortage of memory and storage components.

Why it mattered: Higher prices can protect margins, but they also risk discouraging upgrades.

Impact: AI infrastructure demand is now directly testing Apple’s consumer pricing power.

Nvidia faced another reminder that its largest customers want alternatives.

What happened: OpenAI and Broadcom unveiled Jalapeño, a custom processor designed to run AI models after they have been trained. Engineering samples are already operating, with large-scale deployments planned through Microsoft and other data-center partners.

Why it mattered: The chip is not a broad Nvidia replacement, but specialized processors could take part of the fast-growing AI inference market.

Impact: Nvidia still leads AI computing, but customers are working to reduce cost and supplier dependence.

Alphabet’s stock had a rough week even as one regulatory door opened for autonomy.

What happened: NHTSA proposed updating braking rules for autonomous vehicles built without steering wheels or pedals. That could eventually reduce design obstacles for purpose-built robotaxis, including future vehicles used by Waymo.

Why it mattered: Easier vehicle certification would help autonomy companies move beyond modified consumer cars.

Impact: The proposal supports Waymo’s long-term path, but the broader mega-cap selloff dominated Alphabet’s week.

Tesla received encouraging robotaxi policy news and an uncomfortable safety reminder.

What happened: The proposed NHTSA rules could help Tesla certify a Cybercab without conventional controls. Separately, federal agencies opened investigations into a fatal Texas crash after the driver reportedly said a Tesla driver-assistance system was in use.

Why it mattered: Tesla’s autonomy value depends on both permission to deploy and evidence that the technology is safe.

Impact: Regulatory flexibility can help the Cybercab, but safety scrutiny can slow the rollout.

Europe aimed its next major platform review at Amazon’s most important profit engine.

What happened: The European Commission issued a preliminary view that AWS should be treated as a gatekeeper under the Digital Markets Act. Regulators pointed to its market position, customer lock-in and the high cost of moving workloads elsewhere.

Why it mattered: A final designation could bring rules intended to make switching or connecting with competing services easier.

Impact: AWS’s scale remains an advantage, but Europe may place more limits around how that advantage is used.

Meta added another supplier to its expanding AI infrastructure plan.

What happened: Meta signed a multigeneration agreement to use Qualcomm data-center processors. Qualcomm’s first Dragonfly C1000 chips are expected to enter production during the second half of 2028.

Why it mattered: Meta is looking for more power-efficient systems as the electricity and operating costs of AI continue rising.

Impact: More supplier choice could lower costs, although the financial benefit remains years away.

Microsoft held up best in the group, but its gaming business could not escape the component shortage.

What happened: Microsoft said Xbox prices will rise worldwide on August 1. The increase will be $100 for 512-gigabyte models and $150 for one-terabyte models after storage and memory costs climbed more than 2.5 times.

Why it mattered: Consoles are commonly sold at little or no profit, leaving Microsoft limited room to absorb higher costs

Impact: The AI memory shortage is squeezing products far beyond Microsoft’s cloud business.

Micron (MU): Micron reported record quarterly revenue of $41.46 billion and projected about $50 billion for the next quarter. Its results showed how strongly AI demand has shifted pricing power toward memory suppliers.

Impact: Micron is benefiting from the same shortage that is raising costs for Apple, Microsoft and other device makers.

Broadcom (AVGO): Broadcom helped design and produce OpenAI’s Jalapeño processor and is also supplying networking technology for the system.

Impact: Custom chips give Broadcom another route into AI spending that might otherwise have gone mainly to Nvidia.

Powered by Mag7News — The Magnificent 7 Stocks, Market Momentum in 7 Minutes.