Key Takeaways
- Bank of America’s Wamsi Mohan upgraded Apple’s price target from $330 to $380 while reaffirming his Buy recommendation
- The revised target suggests potential gains of 33% from present trading levels
- BofA believes Apple’s control over the smartphone platform positions it perfectly for the agentic AI revolution
- A reimagined Siri with task-execution capabilities in search, transactions, and scheduling could generate $40B to $65B in new revenue by fiscal 2030
- Consensus analyst target for AAPL stands at $320.83, with ratings breakdown of 18 Buy, 10 Hold, and 1 Sell
Shares of Apple climbed in Tuesday’s premarket session after Bank of America unveiled the Street’s most bullish price objective from a top-tier institution, setting a $380 target driven by the company’s positioning in agentic artificial intelligence. AAPL advanced approximately 0.5% before the opening bell.
Wamsi Mohan, equity analyst at BofA Securities, elevated his price objective from the previous $330 mark while maintaining his Buy thesis. His updated valuation applies a 37x multiple to his fiscal 2027 earnings projection of $10.29 per share, representing an increase from the earlier 32x multiple.
The investment thesis revolves around a central premise: as AI assistants become the primary interface for search queries, e-commerce, financial transactions, and calendar management, the company controlling that gateway captures the value. According to Mohan, smartphones serve as that critical gateway — with Apple in command.
“In an agentic world, value accrues to the platform that controls user intent, personal context, app access, permissions, identity, authentication, payments, and trust,” Mohan explained in his client communication.
The analyst contends that Apple has already assembled all these components at massive scale, positioning the company to exert influence over AI model developers, application creators, retail merchants, advertising platforms, and financial networks.
Proprietary Chips and Operating System Create Competitive Moat
Mohan highlighted Apple’s internally developed processors and iOS ecosystem as fundamental competitive advantages. Custom silicon enables AI processing directly on devices, delivering superior response times, enhanced privacy protection, and lower operational costs. The iOS platform, meanwhile, governs how artificial intelligence reaches end users.
He further observed that Apple will probably deploy a hybrid architecture combining local device processing, its Private Cloud Compute infrastructure, and external cloud resources to maintain performance as AI adoption accelerates.
Next-Generation Siri Takes Center Stage
The analyst placed considerable emphasis on Siri’s forthcoming transformation. To fully capitalize on agentic AI opportunities, Mohan contends Siri must evolve beyond voice commands into a true intelligent agent — capable of interpreting user objectives, launching appropriate applications, accessing personalized information, and executing complete task sequences.
Should Apple achieve this vision, the financial impact could prove significant. Mohan’s analysis suggests an agentic Siri implementation could contribute between $15B and $30B to Apple’s fiscal 2030 top line. Under more aggressive adoption assumptions, that contribution could expand to the $40B to $65B range.
The analyst also noted Apple’s decision to abandon its net cash neutral stance signals strategic reorientation — the tech giant is now preparing for substantial investments in AI infrastructure.
The overall Wall Street sentiment toward AAPL remains positive, though BofA’s latest target significantly exceeds the Street consensus. The mean analyst price objective currently rests at $320.83, implying modest upside of approximately 3% from present valuations.
Among analysts who’ve issued ratings in the past three months, the breakdown shows 18 Buy recommendations, 10 Hold ratings, and a single Sell.
Bank of America’s $380 price target represents the most optimistic assessment of Apple’s artificial intelligence opportunity from any major financial institution to date.


