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Chronicles

The story behind the story

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Sources detail how organizational dysfunction and a lack of ambition bogged down Apple's AI and ML efforts, including the work of the group responsible for Siri

The Information Wayne Ma

Context & Ripple Effects

This report extends a longer Siri pattern: former employees had already described ambition, strategy, and data constraints around Siri in 2017. It matters because it locates Apple’s AI gap in organizational execution, not simply in a single product setback.

Later coverage points to the same unresolved fault lines, including weak collaboration between AI and product teams and concerns that personalized Siri might require a rebuild from scratch.

First-order effects

  • Apple’s AI/ML organization and Siri team face slower decision-making and weaker ability to turn research work into product improvements when goals and ownership are unclear.
  • Siri becomes the most visible product affected: delays or limited capability gains can directly weaken confidence in Apple’s voice-assistant roadmap.

Second-order effects

  • Product teams must either work around the AI/ML group’s constraints or press for clearer integration, increasing the organizational cost of shipping AI-enabled features.
  • Competitors with more tightly coupled AI research and product organizations gain a clearer opportunity to set user expectations for assistants while Apple resolves execution issues.

Third-order effects

  • If these problems persist, AI capability becomes an operating-model differentiator: access to talent and models matters less without shared priorities, product integration, and accountable leadership.
  • The pattern suggests consumer-device companies may increasingly reorganize around AI as a cross-functional product capability rather than treat it as a separate research function.

The trend: This is one data point in the shift from voice assistants as standalone features to AI execution as a company-wide product and organizational discipline.

Discussion

  • @amir Amir Efrati on x
    🍎 Siri's 12 years of stagnation is like if OpenAI launched ChatGPT and then argued internally for 12 years about what to do to improve it https://www.theinformation.com/ ... $aapl @waynema https://twitter.com/...
  • @economictimes @economictimes on x
    Apple Inc. may be biding its time for the technology to mature, as it often does, yet waiting too long could also put the iPhone maker in a position where it's hard to catch up. https://economictimes.indiatimes.com/ ...
  • @business @business on x
    Apple is missing from the race for generative AI systems. This may be deliberate, or a strategic mistake, @tculpan and @parmy write https://www.bloomberg.com/... via @opinion
  • @parismarx Paris Marx on x
    Every tech company is being pushed to pivot to AI because of the hype, but does it matter that Apple hasn't jumped on the bandwagon? I'm not so sure. It was behind in voice assistants, but did it really hurt Apple? They were overhyped, and so are chatbots. https://www.bloomberg.c…
  • @opinion @opinion on x
    Apple is missing from the race for generative AI systems. This may be deliberate, or a strategic mistake, @tculpan and @parmy write https://www.bloomberg.com/...
  • @tomfgoodwin Tom Goodwin on x
    At the risk of sounding mega dumb Why does Apple need to care that much about ML and NN and AI ? Siri is awful but it wasn't the business they were in. Maybe the need AI to count the endless piles of money they accumulate by making all hardware they make https://twitter.com/...
  • @cherthedev Cher Scarlett on x
    Bizarre article. Chatbots are a shiny waste of resources. Apple's AI includes: Object and text detection, sound and handwriting recognition, facial recognition, lifestyle detection, sleep tracking, word salience detection, autocorrect, predictive text. https://www.bloomberg.com/.…
  • @scobleizer Robert Scoble on x
    @psidart ... Yeah I know all about Siri's troubles. Apple sounds like Microsoft internally.
  • @robleathern Rob Leathern on x
    Good article. Here's a summary of some of the key points (summarized by #Bard - I do not vouch for the accuracy of the summary, so suggest reading it if you can) 1/ Apple's Siri chief, John Giannandrea, is struggling to make Siri competitive with other voice assistants. 2/... htt…
  • @amir Amir Efrati on x
    👀Siri is a very manual / human labor-intensive endeavor https://twitter.com/...
  • @amir Amir Efrati on x
    The decision to move more Siri computing to iPhones from cloud may put Apple at a disadvantage if it launches LLMs for Siri... https://www.theinformation.com/ ... https://twitter.com/...
  • @mhbergen Mark Bergen on x
    “Google wanted them badly enough that its CEO, Sundar Pichai, personally wooed the group” https://www.theinformation.com/ ...
  • @mvpeers Martin Peers on x
    Apple has been quiet about AI in the past few months and @waynema explains why in this terrific deep dive into Apple's travails; top notch piece https://www.theinformation.com/ ...
  • @theo_wayt Theo Wayt on x
    Apple is also struggling with how to respond ChatGPT, as improvements to Siri are stymied by turf battles and high-profile departures, reports @waynema https://www.theinformation.com/ ... @theinformation https://twitter.com/...
  • @waynema Wayne Ma on x
    Ex-members of Apple's AI and ML team say the organizational dysfunction of Siri raises questions of whether it will be able to incorporate the next wave of AI such as the tech behind ChatGPT into its products. Check out my latest for @theinformation https://www.theinformation.com…
  • @theinformation @theinformation on x
    Exclusive from @waynema: John Giannandrea was supposed to help Apple fix its Siri problems. But dysfunction is still holding back its efforts as a new AI era dawns. https://www.theinformation.com/ ...