Bank of America Sees Agentic AI as Apple’s Next Big Catalyst, Lifts Target to $380

Bank of America analyst Wamsi Mohan raised Apple's price target to $380 from $330, citing the company's strong position in agentic AI. The thesis highlights Apple's control over user intent, privacy, and the full device stack as key advantages that could drive significant new revenue. Recent upgrades reflect building confidence in both near-term results and longer-term AI opportunities.
Bank of America Sees Agentic AI as Apple’s Next Big Catalyst, Lifts Target to $380
Written by Juan Vasquez

Apple shares have traded with a certain skepticism for months. Growth looked stuck. The iPhone cycle felt mature. China weighed on sentiment. Yet one of Wall Street’s most consistent bulls just made a forceful case that the narrative misses the point.

On May 26, Bank of America analyst Wamsi Mohan raised his price target on the company to $380 from $330. He kept a Buy rating. The move came weeks after an earlier hike to $330 following solid quarterly results. (Yahoo Finance)

Apple’s Position in the Agentic AI Shift

Mohan argues the coming wave of agentic AI changes everything. These systems don’t just answer questions. They act. They handle tasks across apps, manage schedules, complete purchases, and make decisions on a user’s behalf. Success belongs to the platform that owns user intent, personal context, app access, identity, payments, and trust all at once. Only one device sits at that intersection today. The smartphone. And Apple controls the most valuable slice of it.

Apple’s custom silicon gives it an edge in on-device processing. Its iOS operating system creates a closed environment where privacy and security remain first principles. That combination, Mohan believes, positions the company as an eventual winner in AI at the edge. The analyst also points to strong capital returns and optionality from future products. “Reiterate Buy on strong capital returns, eventual winner on AI at the edge and optionality from new products,” he wrote in an earlier note that set the stage for this latest call. (Yahoo Finance)

But here’s the bolder part. Mohan sees agentic AI driving material new revenue. Some projections discussed in recent analysis point to potential upside of $30 billion by 2030. That’s not trivial for a company already generating record services income. It represents a fresh growth vector at a time when many investors question whether Apple can expand beyond its core hardware business.

And the hardware business isn’t dead. Recent quarters showed iPhone demand holding up better than feared. Services continue their steady climb. Apple reported record results in several categories last year, with the installed base of active devices exceeding two billion. That base gives the company a massive distribution channel for new AI features. No other consumer technology firm matches this scale combined with such tight integration.

Investors have heard AI promises before. Shares didn’t explode when Apple Intelligence first launched. Critics pointed to delays and questioned whether the features felt truly differentiated. Mohan acknowledges those concerns yet contends the market underestimates the structural advantage. Control over the full stack matters more than flashy demos. Apple can deliver AI that respects privacy while still performing complex tasks locally or with minimal cloud dependency. That matters to both consumers and regulators.

Services growth tells part of the story. The segment has become a reliable profit engine. App Store revenue, subscriptions, and payment processing all benefit from the same user trust that agentic systems will require. If AI agents start handling real-world transactions, Apple’s identity and payment infrastructure could capture a larger share. The flywheel turns faster.

Of course risks remain. Competition in AI is fierce. Google, OpenAI, and others push hard on cloud-based intelligence. Chinese vendors gain ground in their home market. Execution on new product categories, from potential robotics to smarter home devices, remains unproven. Yet the steady upward revisions from Bank of America, from $325 last October to $330 in early May and now $380, show conviction building on fresh data points. (The Street)

Recent analyst moves across the Street echo some of this optimism. Firms have lifted targets on the back of earnings beats and AI momentum. Consensus price targets sit lower than Mohan’s latest figure, but the direction is clear. Apple trades at a premium valuation for good reason. Its margins, cash flow, and brand power create a wide moat.

So what happens next? The company prepares for its annual developer conference and fall product launches. Expectations around enhanced Siri capabilities and deeper on-device intelligence run high. If those releases meet the moment, the agentic story gains credibility fast. Mohan isn’t alone in seeing the smartphone as the logical home for personal AI agents. But he makes the case that Apple’s particular strengths give it the inside track.

Wall Street has cycled through many Apple theses over the years. Services as savior. Wearables as growth driver. China as both opportunity and threat. This latest view ties them together under one umbrella. The device that already commands attention, loyalty, and spending power becomes the command center for autonomous digital assistance. It’s a logical extension of Apple’s long-held philosophy. Control the experience. Protect the user. Monetize the relationship over decades.

Whether that translates into $30 billion of incremental revenue by the end of the decade depends on many variables. Technical progress. Consumer adoption rates. Competitive responses. Regulatory outcomes. Still, the framework offers a clear way to think about valuation beyond the next few quarters. Apple’s current market capitalization already reflects enormous expectations. A successful agentic push could justify even higher multiples as new cash flows materialize.

Short-term traders will watch the next earnings print and any guidance on iPhone momentum. Longer-term investors now have a fresh benchmark from one of the most followed analysts in the sector. $380 implies meaningful upside from recent trading levels around $310. The gap reflects both the potential reward and the uncertainty that still surrounds AI deployment at scale.

Apple has defied skeptics before. Its ability to turn complex technology into products people pay premium prices for remains unmatched. If agentic AI becomes as central to daily life as Mohan predicts, the company sits better than most to capture the value. The latest price target increase isn’t just another nudge higher. It’s a signal that one influential voice sees the next chapter already taking shape.

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