Apple price targets are rising again as Wall Street begins treating Siri and WWDC26 as possible turning points in Apple’s AI story. CNBC’s MacKenzie Sigalos reported on fresh target hikes from Melius Research and Bank of America, with both firms pointing to the possibility that a more capable, Gemini-powered Siri could make Apple’s assistant more useful across the iPhone ecosystem and reposition Apple for the next phase of AI.
The numbers are aggressive. Bank of America raised its Apple price target to $380 from $330, while Melius raised its target to $385, according to recent market reports. Both targets imply that investors are starting to look past Apple’s delayed AI rollout and toward a scenario where Siri becomes a more important interface for search, commerce, scheduling, apps, payments, and personal assistance.
That shift matters because Apple has spent much of the past year under pressure for moving slower than Google, OpenAI, Microsoft, and Meta in generative AI. Siri delays weakened confidence in Apple Intelligence, and developers have been waiting for a clearer signal that Apple can turn AI into a real platform rather than a collection of writing tools, image features, and notification summaries. WWDC26 now becomes the place where Apple has to show whether the next Siri can become an operating-system layer instead of a voice assistant with limited commands.
The Gemini angle adds another layer. Apple already supports ChatGPT integration inside Apple Intelligence, but analysts are now focused on the possibility of deeper Google Gemini involvement. If Apple can pair its device base, privacy architecture, App Intents, payments, authentication, and developer tools with a stronger external model, Siri could become more useful quickly without Apple having to win the large-language-model race alone.
Wall Street is not only betting on a better assistant. It is betting that Apple owns the best consumer distribution point for agentic AI: the iPhone.
Siri Becomes the Stock Story Again
Apple price targets are rising because analysts see Siri as more than a delayed feature. In an agentic AI model, the assistant becomes the layer that interprets intent and completes tasks. That could include booking, searching, buying, messaging, scheduling, summarizing, navigating apps, changing settings, comparing products, checking orders, managing subscriptions, and coordinating personal information.
That is exactly where Apple has an advantage if it can execute. The company has more than 2.5 billion active devices, according to Tim Cook’s most recent installed-base disclosure. Those devices include iPhone, iPad, Mac, Apple Watch, Apple TV, AirPods, and Vision Pro, all tied through Apple Account, iCloud, App Store, Apple Pay, Wallet, Maps, Messages, FaceTime, Photos, Health, Home, and Services.
A smarter Siri could sit across that ecosystem in a way standalone AI apps cannot. Chatbots can answer questions. Apple can potentially act inside the device. It controls the operating system, app permissions, secure authentication, device sensors, payments, and personal context. That is why analysts are describing agentic AI as a potential growth driver rather than only a software feature.
Bank of America analyst Wamsi Mohan reportedly argued that Apple is well positioned in an agentic AI environment because assistants may become gateways to search, commerce, and everyday actions. Melius has taken a similar view, raising its target and arguing that Apple may be positioned for a stronger AI cycle if Siri becomes genuinely useful.
The risk is that this thesis depends on execution. Apple has the distribution. It still has to prove the assistant can act reliably.
WWDC26 Has to Rebuild Developer Confidence
Apple price targets now place unusual pressure on WWDC26. The conference is not only about iOS 27, macOS 27, iPadOS 27, watchOS, tvOS, visionOS, and developer sessions. It is now an investor event around Siri and Apple Intelligence.
The developer side is critical. A smarter Siri cannot become useful across the iPhone ecosystem unless apps expose actions Siri can understand. That means App Intents, Shortcuts, Spotlight, widgets, Apple Intelligence APIs, privacy permissions, and developer documentation all need to improve. If developers believe Siri can bring meaningful traffic, engagement, or transactions into their apps, they have a reason to integrate. If they see Siri as another uncertain Apple promise, adoption will be slower.
This is why a Gemini-powered Siri would need more than a model upgrade. A stronger language model can interpret requests better, but the assistant also needs access to app actions, user context, onscreen awareness, and safe confirmation flows. Siri has to know when to act, when to ask, and when to stop.
Apple’s recent accessibility preview may have offered a small clue. Voice Control powered by Apple Intelligence will let users navigate iPhone and iPad by describing visible interface elements in natural language. Apple presented that as an accessibility feature, not a Siri demo, but it shows the kind of screen understanding Siri needs. The assistant of the future has to understand what a user sees and then operate inside the interface.
WWDC26 has to connect those pieces for developers. Apple needs to show not only what Siri can do, but how apps can participate.
Gemini Could Help Apple Move Faster
Apple price targets tied to Gemini reflect a practical investor view: Apple may not need to own the strongest model if it owns the user interface. Google’s Gemini models are already deeply integrated across Android and Google services, and OpenAI remains a leading partner for generative AI. Apple can choose a hybrid path, using its own on-device models and Private Cloud Compute for privacy-sensitive tasks while relying on outside models for broader reasoning, web knowledge, or complex requests.
That would match Apple’s existing approach. Apple Intelligence already blends on-device processing, Private Cloud Compute, and optional ChatGPT integration for certain requests. A Gemini partnership could give Apple another model option, especially if it improves Siri’s ability to answer, reason, plan, and interact with apps.
The question is branding and control. Apple will not want Siri to feel like a Google product. It will want Gemini to sit behind the experience, if used, while Siri remains the interface. Apple’s privacy rules, user prompts, and data-handling language would become central. Users should know when an outside model is involved, what information is shared, and whether they can choose another option.
For investors, the appeal is speed. Building every AI model internally takes time. Apple has already faced criticism for being late. A deeper model partnership could let Apple improve Siri faster while it continues building its own intelligence infrastructure.
The risk is dependence. Apple spent years reducing reliance on Intel and is now reducing modem dependence through Apple-designed silicon. Relying heavily on Google for Siri intelligence would create a different kind of strategic tension. Apple may accept that if the model stays behind Apple’s interface and user relationship.
Agentic AI Fits Apple’s Ecosystem Better Than Chatbots
Apple price targets are being raised because agentic AI could favor companies with trusted device ecosystems. A chatbot can answer a question. An agent can complete a task. Apple’s advantage is that many of the most valuable tasks require identity, privacy, payments, location, personal context, app access, device settings, and user trust.
An iPhone-based agent could know the calendar, messages, recent documents, locations, reminders, photos, app states, subscriptions, purchases, and device preferences if the user grants permission. It could also authenticate through Face ID, pay through Apple Pay, open apps, change settings, send messages, and use local device intelligence. That makes the iPhone a natural home for personal agents.
This is the reason analysts are looking at Apple differently now. If AI remains mostly a chatbot market, Apple looks behind. If AI becomes an operating-system layer for personal actions, Apple’s position becomes much stronger. The company has the hardware, software, secure enclave, payments, App Store, and customer trust needed to make agentic AI useful in daily life.
But the product has to work. A flawed AI assistant is more damaging than a weak chatbot because it can touch real user actions. Siri must be accurate, cautious with sensitive tasks, and clear when it needs confirmation. Apple’s brand leaves little room for a reckless assistant.
The Revenue Question Is Still Speculative
Apple price targets around AI carry large assumptions. Some reports around Bank of America’s new target pointed to a scenario where agentic AI could unlock tens of billions in future revenue by 2030. That kind of estimate depends on new services, commerce flows, search economics, developer activity, paid AI features, hardware upgrade cycles, and possible revenue sharing with AI partners.
Apple has several possible AI revenue paths. A better Siri could increase iPhone upgrade demand. Apple Intelligence could make higher-end devices more attractive. AI features could strengthen Services retention through iCloud, Apple One, Apple Music, Apple TV, AppleCare, and App Store activity. Siri could become more important in search and commerce. Developers may build paid features around Apple Intelligence. Apple could charge for premium AI capacity later, though the company has not announced such a model.
The market is pricing possibility, not certainty. Apple’s stock has already moved strongly on AI optimism, and higher price targets now depend on Apple showing enough progress at WWDC26 to support that optimism. If Siri feels genuinely new, investors may become more confident. If Apple shows another cautious, limited feature set, the AI thesis could weaken again.
That makes WWDC26 unusually important for both developers and markets.
Apple’s Best AI Story Is Still Distribution
Apple price targets from Melius and Bank of America point to the same core idea: Apple’s AI opportunity is not about copying ChatGPT. It is about using the iPhone ecosystem as the most valuable personal AI distribution network in the world.
That is Apple’s strongest card. More than 2.5 billion active devices. Hundreds of millions of iPhone users. Deep integration across apps and services. A payment layer through Apple Pay and Wallet. A privacy architecture that can support more trusted personal AI. A developer platform that can expose app actions. A hardware roadmap with powerful Neural Engines and Apple Silicon.
A Gemini-powered Siri, if it arrives, would be only one piece of that story. The larger question is whether Apple can turn Siri into the front door for agentic AI while keeping control of the user experience. If it can, the assistant becomes more than a feature. It becomes a platform layer.
That is why Wall Street is paying attention again. The same Siri that became a symbol of Apple’s AI frustration could become the product that changes the narrative, if Apple finally makes it useful enough to matter across the iPhone ecosystem.
WWDC26 now has to prove that the optimism is more than a price-target story.
