Apple’s Next‑Gen Siri Stumbles Again: AI Features May Slip from March into Summer or Fall

Apple’s ambitious upgrade to Siri, built on its own model platform and integrating Google’s Gemini, has hit new testing problems that may delay key features previously slated for iOS 26.4 in March. Core capabilities such as expanded personal‑data search and advanced app voice controls are the most likely to slip into later iOS releases, underscoring the engineering and strategic challenges of deploying generative AI within Apple’s privacy framework.

Flat lay view of the newest Apple iPhone model, box, and charging accessories on a wooden table.

Key Takeaways

  • 1Apple’s upgraded Siri faces testing issues that may postpone planned March launch tied to iOS 26.4.
  • 2Features most at risk include expanded access to users’ personal data (searching messages, playing shared content) and advanced ‘app intents’ voice controls.
  • 3The new Siri is built on the Linwood system and Apple Foundation Models while integrating Google’s Gemini; occasional fallbacks to ChatGPT have been observed.
  • 4Delays highlight tensions between on‑device privacy goals, reliance on third‑party models, and the technical difficulty of delivering low‑latency, reliable generative AI.

Editor's
Desk

Strategic Analysis

Apple’s Siri setback is more than a product postponement; it is a stress test of the company’s AI strategy. Apple has staked its reputation on combining privacy, hardware optimisation and proprietary models to produce a distinctive consumer AI experience. But the complications of latency, accuracy and interoperability with external models reveal that even the most vertically integrated firms face hard engineering limits. If Apple repeatedly defers marquee AI features, rivals that accept more cloud dependency—or that have already solved hybrid model orchestration—could seize the narrative advantage. Conversely, a cautious, phased rollout could preserve user trust by avoiding a buggy launch, provided Apple communicates timelines clearly and shores up the reliability of core functions. Strategic choices now—how much to rely on partners like Google or OpenAI, how aggressively to push on‑device processing, and how to pace feature releases—will shape Apple’s ability to compete in the next wave of consumer AI.

China Daily Brief Editorial
Strategic Insight
China Daily Brief

Apple’s long‑promised, AI‑heavy overhaul of Siri has run into fresh engineering problems, threatening to push several headline features past their planned March launch. The company had tied the upgrade to the iOS 26.4 release but is now weighing splitting the work across later updates, with some capabilities possibly deferred to iOS 26.5 in May or iOS 27 in September.

Beta testers report the upgraded assistant sometimes fails to parse queries, takes too long to respond to complex requests, and can interrupt users who speak quickly. Two of the most visible features at risk are expanded personal‑data access—letting Siri search old messages and play items shared by contacts—and a richer “app intents” voice control that would let users find, edit and send photos in a single command. Early support exists, but reliability and accuracy remain inconsistent.

The technical stack behind the effort is unusually elaborate. The new Siri is built on an underlying system called Linwood and runs atop Apple’s own large‑language model platform, Apple Foundation Models, while also integrating Google’s Gemini technology. Apple explored deeper collaboration with OpenAI and has already integrated ChatGPT on some devices; testers say Siri has on occasion routed queries to ChatGPT when it should have used Apple’s models.

This setback underscores the broader trade‑offs that have confronted major tech firms attempting to marry cutting‑edge generative AI with consumer privacy and on‑device performance. Apple has sought to differentiate by emphasizing control of data and bespoke models, but reliance on third‑party systems such as Gemini, and intermittent fallback to ChatGPT, shows how difficult it is to deliver fast, reliable AI at scale without hybrid architectures.

For investors and product planners, the delay is a mixed signal. Apple’s shares had earlier been pressured by scepticism about its AI capabilities, but strong iPhone 17 sales and cooling enthusiasm for speculative AI investments have helped the stock outperform peers this year. Still, a slip of high‑profile features risks undermining Apple’s narrative that it can match the functionality of rival assistants while keeping a privacy‑first posture.

Watch for how Apple sequences the rollout. Fragmenting the launch across multiple iOS updates could blunt the marketing impact of a single “Siri moment” and create varied user experiences across iPhone owners. It also raises questions about how Apple will maintain project momentum, manage third‑party model dependencies, and answer regulator and consumer scrutiny over how Siri accesses and uses personal data.

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