Investors are re-evaluating Apple as a winner in the AI race, not due to groundbreaking language models, but because of its unique ability to serve as a hub for so-called agentic AI through the iPhone and Mac ecosystems. The next frontier involves whether these on-device assistants will eventually connect with tokenized payment systems and digital assets.
Bank of America analyst Wamsi Mohan suggests that Apple’s comprehensive control over hardware, software, and services creates a protective moat in the agentic AI era. According to Mohan, the value in a world dominated by AI agents lies not with the models themselves but with the platform that manages user intent, identity, and financial transactions. He argues that the iPhone already serves as the primary device where these elements converge, making it a natural gateway for AI-driven tasks.
Mohan’s outlook positions Apple as a critical intermediary if AI assistants become the primary interface for activities like searching, shopping, scheduling, and payments. He believes Apple’s tight integration gives it leverage over model developers, app creators, merchants, and payment networks. Based on this reasoning, he raised his price target for Apple stock to $380, implying roughly 20% growth from its current level near $312.
The concept of agentic AI extends beyond a smarter Siri. It involves semi-autonomous digital helpers that manage tasks ranging from organizing files to handling payments. Mohan points out that Apple doesn’t need to develop the most advanced AI model if it controls the trusted interface that routes user requests across local apps, cloud services, and external models. That interface is fortified by Apple’s secure enclave, biometric authentication, and its established payment systems, Apple Pay and Apple Cash.
As AI agents gain more autonomy over financial actions like bill payments, savings transfers, and portfolio rebalancing, the underlying financial infrastructure becomes crucial. The same regulatory push that is shaping compliant stablecoins and tokenized deposits for institutions points to a future where money within Apple’s ecosystem exists as tokenized assets, such as regulated stablecoins or tokenized government securities. Apple already manages identity, authentication, and payments, so integrating tokenized instruments is a practical step rather than a theoretical leap. In this scenario, Apple’s competitive advantage would be a combination of AI and tokenized value moving through a secure interface.
On the hardware front, Apple’s Mac computers are also playing a role in this strategy. The Mac Mini and Mac Studio, equipped with Apple Silicon and competitively priced, have become popular among developers using them as local AI agent platforms. CEO Tim Cook noted on a recent earnings call that these devices are being recognized as powerful tools for AI, leading to higher demand than anticipated. This hardware trend ties into tokenization, as developers building agents on Macs will likely need to integrate with financial systems, including compliant tokenized instruments. Apple’s goal is to keep this complexity hidden from users while maintaining control over the trust layer. For investors considering a stock price around $312 with a target of $380, the question is whether the market fully values not only Apple’s agentic AI position but also its potential as the default interface for tokenized assets in an increasingly automated financial world.