Apple has spent nearly two decades building one of technology’s most powerful economic tollbooths around the iPhone. Consumers buy the device, but much of the long-term value comes from what happens afterward: they search, download apps, subscribe to services, make purchases and interact with businesses inside an ecosystem where Apple frequently controls the gateway. Now Bank of America says the rapid rise of autonomous AI agents could begin challenging that model in a way traditional smartphone competitors never managed to do. The immediate catalyst is Meta’s new Muse personal AI agent, which surpassed 2.5 million downloads during its first two weeks and climbed to the top of the U.S. iOS free-app chart. Apple stock fell roughly 2% Tuesday as investors digested the possibility that the next major technology battle may not be about replacing the iPhone at all. It may be about controlling what consumers do after they unlock it.
That distinction is crucial. Bank of America analyst Wamsi Mohan is not arguing that millions of consumers will suddenly abandon their iPhones because Meta has built an AI assistant. Instead, the emerging risk is that third-party agents could become the first place users express their intentions — what they want to buy, where they want to travel, what restaurant they want to book, which financial product they want or what service they need. If an AI agent interprets that intention and completes the transaction itself, the traditional sequence of opening Safari, searching Google, navigating to an app or website and manually completing a purchase begins to disappear. Apple could still own the hardware in the consumer’s hand while losing part of the discovery, referral and transaction economics occurring on top of it. That is why the Muse story matters far more for Apple stock than the launch of another chatbot normally would.
Apple Stock Is Facing an AI Threat That Doesn’t Need to Kill the iPhone
The smartphone has historically been the center of digital activity because users move between applications to accomplish tasks. Want a hotel? Open a travel app. Need groceries? Open a retailer. Looking for a product? Search the web or Amazon. Need transportation? Open Uber or another mobility service. Each of those actions begins with the user deciding which application or service should receive the request.
Instead of choosing the application first, consumers could simply tell an agent what they want. The agent then decides which websites, apps, merchants and services should be used to accomplish the task. Meta describes Muse as a personal AI agent capable of performing work rather than merely answering questions, including sending emails, booking travel and taking actions across services through a dedicated secure virtual environment.
That seemingly small change has enormous economic consequences because the company controlling the agent may eventually control the commercial relationship.
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A consumer might say, “Find me the cheapest nonstop flight to New York next Friday and book a hotel near Central Park.” Instead of searching Google, opening Expedia, comparing prices and then paying manually, the agent could potentially perform those steps in the background. The user sees the final result, but the agent decides where to search, which provider to recommend and potentially where the transaction takes place.
In that world, the smartphone operating system remains important — but it may no longer be the most valuable gateway.
That is the scenario Bank of America is asking Apple investors to consider.
Muse’s 2.5 Million Downloads Explain Why Wall Street Is Paying Attention
Muse launched on September 8 and quickly became the No. 1 free application on Apple’s U.S. App Store, surpassing 2.5 million downloads in its first two weeks. Its early popularity has already helped ignite a broader debate about whether personal AI agents could become a new interface layer between consumers and the internet.
The irony is difficult to miss: one of the applications potentially threatening Apple’s control over consumer intent is being distributed through Apple’s own App Store.
That does not mean Muse has already proven a durable business model. Early download numbers can be driven by novelty, and AI applications have repeatedly demonstrated that initial enthusiasm does not guarantee long-term engagement. Muse has also encountered privacy concerns and resistance from some platforms. Amazon, for example, has reportedly blocked Muse from shopping on its site, illustrating how established digital platforms may resist allowing third-party agents to mediate their customer relationships.
But the broader concept is what matters for Apple stock.
Muse demonstrates that consumers may be willing to hand an increasing amount of digital decision-making to an AI agent. If that behavior becomes normal, the competitive battle shifts away from which company owns the most popular applications and toward which company owns the agent receiving the consumer’s request.
Whoever receives the request first potentially controls everything that follows.
The Real Target Is Apple’s Services Machine
This would be much less important if Apple still depended almost entirely on selling hardware. It does not.
Apple generated $30.74 billion of Services revenue during its fiscal third quarter of 2026, up 12% from $27.42 billion a year earlier. Across the first nine months of the fiscal year, Services revenue reached $91.73 billion, up 14%. More importantly, Services generated a remarkable 75.6% gross margin during the June quarter, compared with 40.1% for Apple’s products business.
That margin difference explains why Wall Street pays so much attention to anything that could alter Apple’s position in digital transactions.
Apple’s hardware remains enormously important. The company generated $54.25 billion of iPhone revenue during the June quarter, up 22% year over year, while total company revenue reached a June-quarter record of $109.4 billion. But Services provides recurring, extremely high-margin revenue that helps turn every installed Apple device into an economic asset long after the original hardware sale.
An AI agent does not need to eliminate Apple Music, iCloud or every part of Services to matter financially. It simply needs to begin changing where commercially valuable actions originate.
If consumers increasingly start shopping journeys, travel bookings, product searches and other transactions inside third-party AI agents, those agents could potentially capture referral fees, advertising economics and transaction relationships that historically flowed through search engines, apps and mobile platforms.
The threat is therefore subtle.
Apple could continue selling record numbers of iPhones while gradually losing influence over the economic activity occurring on them.
The Battle for “Intent” Could Become AI’s Most Valuable War
The word at the center of Bank of America’s warning is intent.
Digital businesses have spent decades trying to understand what consumers want because knowing intent is extraordinarily valuable. Google built one of the world’s largest advertising businesses around search intent. Amazon understands shopping intent. Meta understands social and advertising behavior. Apple controls a device through which enormous amounts of that activity occurs.
AI agents could potentially consolidate multiple forms of intent into a single interface.
Instead of Google understanding what a consumer wants to search for, Amazon understanding what the consumer wants to buy and Expedia understanding where the consumer wants to travel, a personal AI agent could understand all three.
That makes agents potentially much more valuable than traditional assistants.
Meta’s ambitions illustrate the scale of the idea. The company says Muse can work across applications, learn from conversations and act on users’ behalf. Meta has also introduced the Muse Charm, a dedicated AI device designed to make the agent accessible outside the traditional smartphone interface. Reuters reported that Muse’s launch had already drawn millions of downloads and contributed to renewed investor enthusiasm around Meta’s broader “personal superintelligence” strategy.
If that interface becomes where users begin commercial activity, the economics could migrate with it.
And Apple is not the only company exposed. Search engines, e-commerce platforms, travel websites, banks and payment companies are all confronting versions of the same question.
Who owns the customer when an AI agent starts making the decisions?
Apple Has One Powerful Answer: Siri AI
There is an important reason not to assume Apple will simply watch this transition happen.
Apple launched its substantially upgraded Siri AI this month after unveiling the platform at WWDC in June. The new system includes personal-context understanding, broader world knowledge, onscreen awareness and deeper systemwide actions. Siri can surface information from messages, emails and photos and interact more deeply with applications through Apple’s App Intents framework.
Apple is also explicitly enabling developers to create agentic experiences through its Foundation Models framework, while App Intents allows third-party applications to expose actions and content to Siri using natural language.
That means Apple possesses a potential counterattack that Meta cannot easily replicate: operating-system-level integration across hundreds of millions of devices.
If Apple can make Siri AI the default agent consumers trust with personal and commercial tasks, the emergence of agentic computing could strengthen Apple’s ecosystem rather than weaken it. Instead of users manually opening applications, Siri could become the interface coordinating those applications while Apple retains control of the device, identity, permissions and underlying platform.
Bank of America appears to recognize that possibility. Despite highlighting the emerging competitive risk, Mohan maintained a Buy rating on Apple with a $370 price target, arguing that Apple’s installed base, consumer trust and privacy positioning remain important advantages.
That makes the Muse threat less like an immediate earnings crisis and more like a race Apple cannot afford to lose.
Privacy Could Become Apple’s Most Important AI Advantage
The more powerful AI agents become, the more personal information consumers may need to give them.
A truly useful agent might need access to email, calendars, text messages, payment information, shopping history, travel plans, contacts and location data. That creates an obvious tension: the AI becomes more valuable as it knows more about the user, but users may become less comfortable as the amount of information being shared increases.
Muse has already encountered that issue.
Meta says Muse was designed around privacy and gives users control over how much access the agent receives. Yet early real-world usage has produced concerns about permissions and the handling of sensitive information, underscoring how difficult the trust problem may become as agents take increasingly autonomous actions.
This is potentially where Apple’s longstanding privacy strategy becomes financially important.
Apple controls the hardware, operating system and authentication infrastructure on its devices. Siri can potentially use personal context while keeping more sensitive processing inside Apple-controlled environments rather than requiring users to hand credentials and personal data to an unrelated third-party service.
For years, Apple marketed privacy largely as a product feature.
In the agentic AI era, privacy could become a competitive moat.
But Apple Cannot Win This Race With Trust Alone
The problem for Apple is speed.
Meta launched Muse and attracted millions of downloads within weeks. OpenAI and Google are also pursuing increasingly agentic AI experiences, while the broader technology industry is racing to build systems capable of completing tasks rather than simply generating text.
Bank of America’s concern is therefore partly about innovation cycles. Even if Apple possesses structural advantages through hardware, privacy and its installed base, those advantages become less valuable if consumers establish habits around competing AI agents before Apple’s own platform becomes equally capable.
That risk is particularly important because technology platforms can become self-reinforcing.
More users create more commercial partnerships. More partnerships make an agent capable of completing more tasks. Greater functionality attracts more users, and merchants become increasingly motivated to optimize their businesses for whichever agent controls the largest pool of customer intent.
Apple has seen this dynamic before — because it benefited enormously from it with the App Store.
Now another platform layer may be forming above the apps.
Apple Stock Investors Should Watch Where the Transaction Begins
Tuesday’s approximately 2% decline in Apple stock does not suggest Wall Street believes Muse is about to destroy the iPhone business. Apple remains one of the world’s largest and most profitable companies, and its latest quarter demonstrated substantial momentum: revenue increased 16% year over year to $109.4 billion, diluted earnings per share rose 29% to $2.02, and iPhone, Mac and Services all produced June-quarter revenue records.
The more interesting question is whether those financial strengths can obscure a gradual shift in the digital value chain.
Investors have traditionally watched iPhone unit demand, upgrade cycles, Services growth and gross margins when evaluating Apple. The rise of agentic AI adds another metric that may eventually matter just as much: where does the consumer express intent first?
If the answer remains Siri, Safari, Apple applications and traditional iPhone workflows, Apple retains extraordinary control over its ecosystem.
If the answer increasingly becomes Muse or another third-party AI agent, Apple could own the device while somebody else increasingly owns the customer journey.
That would not necessarily destroy Services revenue. But even a modest shift matters when Services generates gross margins above 75%.
Apple’s Biggest AI Risk May Be Hiding in Plain Sight
The most disruptive technology rarely attacks an incumbent exactly where everyone expects.
Apple investors have spent years asking whether AI could make the iPhone obsolete, whether smart glasses could replace smartphones or whether Apple had fallen too far behind companies building frontier models.
Muse introduces a different possibility.
The iPhone might remain extraordinarily successful.
Consumers might continue buying Apple hardware.
Services revenue might continue growing.
And yet the economic center of the smartphone could gradually move away from the operating system and toward whichever AI agent consumers trust to make decisions for them.
That is what makes Bank of America’s warning important. The competitive battle is not necessarily about replacing Apple’s hardware. It is about capturing the layer between the consumer’s desire and the transaction that fulfills it.
Apple has significant defenses. Its installed base is enormous, its Services business is growing, Siri AI is finally much more capable, and the company’s privacy reputation could become increasingly valuable as consumers hand AI systems access to deeply personal information.
But the clock has started.
Muse reached 2.5 million downloads in two weeks and climbed to the top of Apple’s own App Store. Competitors are rapidly building agents capable of shopping, booking, searching and acting autonomously. The more those systems improve, the less important individual applications may become to the consumer experience.
For Apple stock, that creates a new question investors may be asking for years.
Apple already owns the device in the customer’s hand.
Now it has to make sure somebody else doesn’t own the intention behind everything the customer does with it.
Disclaimer
This article is for informational purposes only and does not constitute financial or investment advice. Readers should conduct their own research or consult a qualified financial advisor before making investment decisions. This article was researched and drafted with the support of AI, but was reviewed, fact-checked, and edited by the editorial team before publication.
