Apple and Amazon are trying to turn Siri and Alexa into more capable AI assistants. The hard part is not announcing the features. It is making them dependable enough for people to use without second-guessing the answer.
According to reports cited by The Decoder, both companies have hit delays while testing generative AI upgrades. The problems point to a larger challenge for voice assistants: probability-based AI can sound confident while still producing unreliable results.
Apple’s Siri upgrade is still inconsistent
Bloomberg reports that Apple may push its revamped Siri assistant from April to May or later. The reason is not a single missing feature, but persistent software bugs and “engineering problems.”
Apple announced three major Siri improvements in 2024. They are enhanced user data access, improved app control, and screen context understanding. In internal testing, those capabilities are not performing consistently.
That matters because these features are supposed to make Siri more useful across daily tasks. A voice assistant that understands what is on screen, controls apps more effectively, and draws on user data can feel far more helpful. But those same abilities also raise the bar for reliability, because the assistant is acting closer to the user’s personal workflow.
Apple is reportedly considering different launch approaches. One option is to include the new features in April’s update while leaving them disabled by default until the iOS 18.5 update in May. That would let Apple ship the underlying work without immediately turning it on for everyone.
A fully LLM-powered Siri capable of human-like conversations is not planned until next year. In other words, the current delay is not even the final version of Apple’s conversational assistant strategy. It is an earlier step that still needs to work consistently.
Amazon’s Alexa delay shows the same problem
Amazon is facing a similar issue with its LLM-powered version of Alexa. The Washington Post reports another delay in releasing the upgraded assistant after incorrect responses appeared during testing.
The updated Alexa was initially launched as a limited demo in 2023. Public access is now not expected to begin until at least March 31, even though Amazon plans to announce the update on February 26. That timing would put the public release over 18 months after the initial announcement.
The new version is expected to include premium features such as personality customization, call reminders, and service ordering capabilities. The source notes that some of these already work with the current free version.
For Amazon, incorrect answers are not just a technical defect. One anonymous employee said the company is especially cautious about the possible loss of customer trust from unreliable performance. That concern is central to the AI assistant problem: once users stop trusting the assistant, new features become less valuable.
Why AI voice assistants are hard to ship
The delays at Apple and Amazon highlight a basic tension in generative AI. LLM-based systems can produce flexible language and handle a wider range of requests, but they are also probability-based systems. That makes them difficult to guarantee in the way mass-market consumer products often require.
For a chatbot, an incorrect answer may be frustrating. For a voice assistant embedded into everyday routines, the same issue can feel more serious. Users expect Siri and Alexa to respond quickly, understand context, and complete tasks without creating extra work.
The source points to several reliability pressures now facing AI assistants:
- Internal testing has found inconsistent performance in Apple’s planned Siri features.
- Amazon’s upgraded Alexa has produced incorrect responses during testing.
- Apple previously suspended an AI-powered iPhone notification feature because of incorrect news summaries.
- Chatbots and AI research systems continue to struggle with unpredictable probability-based word prediction.
These issues do not mean companies will stop building AI assistants. They do show why moving from impressive demos to default consumer products is difficult. A feature can be technically advanced and still not be ready for broad release if the output cannot be trusted often enough.
The competitive pressure is still growing
Apple’s position is especially complicated because it has integrated ChatGPT as a standard ecosystem feature. The Decoder notes that this raises questions about whether Apple holds its own AI assistant to higher internal standards or is struggling to match ChatGPT’s capabilities, despite ChatGPT’s own documented errors.
Competition is not standing still. ChatGPT now offers live video analysis alongside conversational features. Google’s Gemini provides similar capabilities and serves as the default assistant on many Android devices.
That puts Apple and Amazon in a narrow lane. They need to move fast enough to keep pace with generative AI assistants, but not so fast that unreliable answers damage trust in Siri or Alexa. The delay is not only about adding an LLM. It is about deciding when an assistant is reliable enough to become part of everyday use.
The broader lesson is clear: generative AI is changing what users expect from voice assistants, but it is also exposing the limits of systems that predict language rather than simply execute fixed commands. For Apple and Amazon, the next milestone is not just a smarter Siri or Alexa. It is an AI assistant that users can believe, repeat after repeat.