Apple (AAPL) on Solana

Apple is set to launch "Apple Upgrade," a new device leasing program powered by fintech partner Klarna, on July 28, 2026. The program covers most iPhone, iPad, Mac, and Apple Watch models — excluding entry-level options like the iPhone 16, base iPad, MacBook Neo, and Apple Watch SE — with 24-month terms for iPhones and Apple Watches and 36-month terms for Macs. A soft credit check through Klarna is required to enroll.

The program replaces Apple's existing iPhone Upgrade Program, which will stop accepting new signups when Apple Upgrade goes live. Unlike its predecessor, Apple Upgrade does not bundle AppleCare coverage. Customers can pay off their device early, upgrade to a newer model before the lease ends, keep the device with a final payment, or return it at term's end. Bloomberg's Mark Gurman, who first reported the program, described it as functioning "like a subscription" for hardware — a structure Apple is leaning into as device prices have risen.

Apple (AAPL) is approaching a $5 trillion market capitalization, with shares closing at $326.59 — up 20.51% year-to-date and 9.59% over the past 30 days — after briefly reclaiming the title of world's most valuable company. The stock's 54.31% one-year return reflects enthusiasm around AI initiatives, record iPhone and Services revenue, and an anticipated leadership transition.

Valuation analysts remain divided: a leading fair-value model puts AAPL at $253.43, implying 28.9% overvaluation at current prices, while Apple's 39.1x P/E sits below its implied fair-value multiple of 44.2x. The pivotal question is whether AI features drive durable user engagement or whether a shifting product-and-services mix ultimately pressures margins.

Apple remains the single largest equity position in Berkshire Hathaway's $348 billion stock portfolio under new CEO Greg Abel, accounting for approximately 20.6% of holdings. Combined with Alphabet, the two technology giants now represent nearly 30% of the portfolio — a notable concentration as Abel has streamlined Berkshire's equity exposure to just 29 companies. The stake was built during Warren Buffett's tenure but Abel has retained it as a core "forever holding," alongside Alphabet and American Express.

Abel's rationale centres on Apple's durable competitive moat: network effects across its device ecosystem, substantial free cash flow generation, and the company's integration of AI features across its hardware and software stack. The framing marks a subtle evolution in Berkshire's investment thesis for Apple — from a consumer-brand play to one explicitly tied to AI-driven ecosystem value — while preserving the position's structural role as the portfolio's anchor holding.

Apple shares (AAPL) touched an all-time high just above $334 on July 17, capping what is shaping up to be the stock's best month in nearly four years. HSBC analyst Nicolas Cote-Colisson upgraded the stock from hold to buy and raised his price target to $366 from $260, implying roughly 10% further upside from that peak.

Cote-Colisson cited two primary catalysts: Apple's expanding AI roadmap and an upcoming hardware cycle. He argued that new Apple Intelligence features have the potential to drive a major iPhone upgrade cycle, and pointed to the expected launches of the foldable iPhone Ultra alongside the iPhone 18 Pro and iPhone 18 Pro Max later in 2026 as near-term hardware catalysts. The bullish note comes days after KeyBanc took the opposite view, recommending investors sell into the rally.

U.S. lawmakers are pressing the Commerce Department to bar Apple from purchasing memory chips from Chinese supplier CXMT, which carries a "Chinese Military Company" designation. The central argument is that every chip Apple buys from CXMT effectively subsidizes the People's Liberation Army, raising national security concerns that extend beyond Apple itself to the long-term dependence on Chinese memory in AI systems and critical infrastructure.

Memory chips are a core input for iPhones, Macs, and Apple's AI-focused hardware lineup, so a successful sourcing ban would force the company toward alternative suppliers — Samsung, SK Hynix, and Micron — potentially at higher cost and with capacity constraints. The push reflects the broader US-China tech decoupling trend, where policymakers are increasingly targeting component-level supply chains rather than finished goods, putting pressure on major platform companies to audit and restructure deep-tier supplier relationships.

China's Cyberspace Administration has formally approved Apple Intelligence for deployment in the country, with Apple integrating Alibaba's Qwen AI model to power generative features — including text and image generation — across iOS, iPadOS, macOS, and visionOS for Chinese users. The clearance resolves months of regulatory uncertainty around how Apple would bring its flagship AI software to its largest overseas market, where domestic rivals like Huawei have been aggressively marketing their own AI-driven devices.

Apple shares jumped roughly 4.2% to a record $328.53 on the news. To make the experience viable on-device, Apple is in talks with PrismML, a Silicon Valley startup that compressed Alibaba's 27-billion-parameter Qwen model from approximately 54 gigabytes to under 4 gigabytes — small enough to run natively on an iPhone 15 without relying on cloud processing. Evercore ISI reiterated an Outperform rating and $365 price target following the approval.

Apple is in early-stage talks with PrismML, a Khosla Ventures-backed startup spun out of Caltech, about technology that drastically shrinks the size of large AI models so they can run directly on iPhones. PrismML's approach reduces the numerical precision of a model's internal values from 16 bits down to just one or three, allowing a 27-billion-parameter model that normally occupies 54 gigabytes to be compressed to under 4 gigabytes — well within the 8GB of memory in the iPhone 15 Pro and Pro Max. The company recently published compressed versions of Alibaba's open-source Qwen model to demonstrate the technique.

PrismML CEO Babak Hassibi confirmed to CNBC that Apple and other companies have been testing the startup's models for speed, energy efficiency, and on-device performance, characterizing the discussions as very early but noting that "things are progressing nicely." For Apple, the technology could allow significantly more capable AI to run locally rather than in the cloud, supporting the company's emphasis on privacy and potentially enabling a more powerful Siri without relying on server-side inference.

Apple's lawsuit against OpenAI, filed July 10, drew immediate public commentary from Elon Musk on X, where he called Sam Altman "Scam Altman" and accused him of graduating from "stealing an open source AI charity" to stealing Apple's phone technology. Altman fired back, mocking Musk's orbital data center pitch and suggesting the attention itself confirmed OpenAI's leading position in AI. OpenAI responded formally that it has "no interest in other companies' trade secrets" and is focused on building its own technology.

Beyond the social media exchange, the lawsuit surfaces new detail about the alleged misappropriation. Apple names not only Tang Tan — OpenAI's chief hardware officer and former Apple VP of product design who allegedly emailed himself supplier information and encouraged Apple employees to bring confidential hardware to job interviews — but also Chang Liu, a technical staff member who allegedly downloaded confidential Apple files and coached a colleague to copy additional materials. The breadth of the complaint points to Apple treating its AI hardware supply chain and chip design roadmap as core trade secrets, and signals the company intends to assert legal boundaries aggressively as its former executives migrate to competing AI ventures.

Apple filed a federal lawsuit against OpenAI in Northern California on July 10, 2026, alleging a coordinated scheme to steal Apple's AI hardware trade secrets that reached "at every level" of the company — from technical staff to OpenAI's Chief Hardware Officer. The complaint centers on Tang Tan, a former Apple VP who became OpenAI's hardware chief, and alleges he directed Apple employees interviewing at OpenAI to bring "actual parts" from Apple for "show and tell" sessions. Apple also claims OpenAI coached departing employees on how to evade Apple's security processes and that one former employee, Chang Liu, stole an Apple laptop on the way out. A manufacturing partner was allegedly manipulated into revealing a proprietary metal-finishing technique under the false impression Apple had authorized the disclosure.

The lawsuit marks a dramatic rupture in what had been a high-profile partnership: Apple integrated ChatGPT into iOS beginning in 2024. For Apple, the litigation signals how seriously the company treats the secrecy of its custom silicon and hardware manufacturing processes — areas where its supply-chain and fabrication innovations are central to its product differentiation strategy. A successful claim could result in injunctive relief limiting OpenAI's use of any derived knowledge, as well as damages. OpenAI denied the allegations, stating it has "no interest in other companies' trade secrets."

Apple has announced a more than $30 billion commitment to Broadcom to produce advanced chips on U.S. soil, marking the largest single component of Apple's previously announced $600 billion, four-year American investment plan. The deal will result in more than 15 billion U.S.-made chips, with Broadcom expanding its Fort Collins, Colorado facility by $1.5 billion to manufacture advanced radio frequency components — including FBAR filters — and wireless connectivity technologies used in Apple devices.

The agreement, which extends Apple's partnership with Broadcom through 2031, is the largest commitment under Apple's American Manufacturing Program (AMP), an initiative aimed at expanding domestic supply chain production and reducing dependence on overseas semiconductor sources. The announcement comes as Apple faces continued pressure from the Trump administration to bring manufacturing activity back to the United States.