Why Apple Stock Just Got Downgraded to Sell

Apple AAPL -1.53% stock was downgraded by a major Wall Street firm on Monday, as an analyst predicted that a radical iPhone redesign has been scrapped.

Jefferies analyst Edison Lee cut his rating on Apple to Underperform—generally graded as a moderate Sell rating—from Hold. He also slashed his price target to $263.66 from $285.56, placing it among the lowest on Wall Street.

The downgrade hinges on the suspected cancellation of Apple’s all-glass iPhone. Although the project was reported to be in development as far back as 2025 and rumored to launch as early as 2027, Apple never commented on the speculation. However, the company quietly filed a patent application for a “six-sided glass enclosure” in 2019.

While Jefferies once viewed the release of an all-glass iPhone as plausible, Lee believes development has come to a halt. According to the analyst, supply-chain checks suggest the project was canceled due to “poor production yield.” This refers to the percentage of defect-free units successfully generated during manufacturing.

Lee views the decision as “a major setback to efforts to bring in higher-priced iPhones amid soaring memory costs.” Had it launched in September 2027 to commemorate the iPhone’s 20th anniversary, the device would have carried an estimated blended retail price of $2,060—higher than the average price of any previous model.

“More importantly, we believe the plan was to extend the all-glass features to future iPhone Pro and Pro Max models, further raising their average selling price and margin,” Lee wrote. He believes an all-glass model would have been a crucial defense against soaring memory costs, warning that Apple otherwise faces lower prices for years to come.

In the same breath, the analyst provided a conservative outlook on both Apple’s AI strategy and component costs for the iPhone 19 Pro Max, which is slated for release in 2027. Other supply-chain checks suggest that Apple is considering an upgrade for the iPhone 19 Pro Max, potentially increasing its memory to 16 gigabytes from 12 gigabytes.

In Lee’s view, the slow rollout of Apple Intelligence makes it difficult for Apple to justify the expense of equipping its phones with more memory. Extra RAM is needed to run complex AI models directly on a device.

Apple shares dropped 1.5% on Monday as the tech-heavy Nasdaq Composite COMP -0.32% index fell 0.3%. Heading into the session, Apple had gained over 15% in 2026, marginally outperforming the index.

The stock’s momentum stalled last month when underwhelming fiscal third-quarter earnings triggered a selloff that erased $359 billion in market capitalization, allowing Nvidia NVDA -2.86% to overtake Apple as the world’s most valuable company.

Lee isn’t the only analyst to sour on Apple stock in recent weeks. KeyBanc analyst Brandon Nispel downgraded shares to Underweight from Sector Weight in July, arguing that Apple’s growth was beginning to stall following a boost in 2025. Sluggish iPhone sales could drag down other hardware categories, Nispel wrote, making the stock look “too expensive” over time.

Even with this recent shift in sentiment, Wall Street hasn’t lost faith in Apple. Of 51 analysts surveyed by FactSet, 32 rate the stock a Buy or the equivalent. Fourteen maintain a Hold rating, while just five—Lee and Nispel included—have issued a negative opinion on the shares.

A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.

For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.

There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.

When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.

That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.

Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.

By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.

In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.

Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.

Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”

Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”

Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.

AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.

Why Apple Stock Just Got Downgraded to Sell

AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.