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If Google’s right about AI, that’s a problem for Apple

Before the iPhone, RIM’s BlackBerry was the king of smartphones. They seemed unstoppable, because by most accounts, they were the best and most successful at what most smartphones were for at the time: email and phone calls.

When the iPhone came out, the BlackBerry continued to do well for a little while. But the iPhone had completely changed the game — it changed what smartphones were for, from basic business-focused email devices to entire consumer personal computers with desktop-class operating systems and rich app ecosystems.

The BlackBerry’s success came to an end not because RIM started releasing worse smartphones, but because the new job of the smartphone shifted almost entirely outside of their capabilities, and it was too late to catch up. RIM hadn’t spent years building a world-class operating system, or a staff full of great designers, or expertise in mass production of luxury-quality consumer electronics, or amazing APIs and developer tools, or an app store with millions of users with credit cards already on file, or all of the other major assets that Apple had developed over a decade (or longer) that enabled the iPhone.

No new initiative, management change, or acquisition in 2007 could’ve saved the BlackBerry. It was too late, and the gulf was too wide.

Today, Amazon, Facebook, and Google are placing large bets on advanced AI, ubiquitous assistants, and voice interfaces, hoping that these will become the next thing that our devices are for.

If they’re right — and that’s a big “if” — I’m worried for Apple.

Today, Apple’s being led properly day-to-day and doing very well overall. But if the landscape shifts to prioritize those big-data AI services, Apple will find itself in a similar position as BlackBerry did almost a decade ago: what they’re able to do, despite being very good at it, won’t be enough anymore, and they won’t be able to catch up.

Amazon, Facebook, and Google — especially Google — have all invested heavily in big-data web services and AI for many years, prioritizing them highly, iterating and advancing them constantly, accumulating relevant data, developing effective algorithms, and attracting, developing, and retaining tons of specialized talent.

Saying Apple is “bad at services” in general isn’t accurate — they’re very good at services that move data around in relatively straightforward ways at a very large scale, such as iMessage, push notifications, and the majority of iCloud.

Where Apple suffers is big-data services and AI, such as search, relevance, classification, and complex natural-language queries.1 Apple can do rudimentary versions of all of those, but their competitors — again, especially Google — are far ahead of them, and the gap is only widening.

And Apple is showing worryingly few signs of meaningful improvement or investment in these areas. Apple’s apparent inaction shows that they’re content with their services’ quality, management, performance, advancement, and talent acquisition and retention. And they may be right — they may be fine.

But if Google’s right, there’s no quick fix. It won’t be enough to buy Siri’s creators again or partner with Yelp for another few years. If Apple needs strong AI and big-data services in the next decade to remain competitive, they need to have already been developing that talent and those assets, in-house, extensively, for years. They need to be a big-data-services company. Their big-data AI services need to be far better, smarter, and more reliable than they are.

And I just don’t see that happening. Becoming a major big-data AI services company doesn’t happen completely in secret and suddenly get released to the world, completed, in a keynote. It’s a massive undertaking, spanning many years, many people, and a lot of noticeable interaction with the world. It’s easier to conceal the development of an entire car than a major presence in AI and services.

Google is extremely well-placed for where they think the puck is going. They could be wrong — these AI services could be a socially awkward fad like Google Glass or a tonedeaf annoyance like Clippy. Google launches a lot of weird, geeky, technologically impressive things that go nowhere.

If Google is wrong, and computing continues to be defined by a tightly controlled grid of siloed apps that you poke a thousand times a day on a smooth rectangle of manufacturing excellence, Apple is fine. They’re doing a great job of what computing is today, and what it will probably continue to be for a long time.

But if Google is right, that’s a big problem for Apple.

This was originally titled “Avoiding BlackBerry’s fate”, but I changed it to better reflect my angle of “If this happens, it’s bad,” rather than “This is what will definitely happen.”


  1. “Privacy” isn’t a very good excuse. It’s possible to build tons of useful services and smarts by just using public data, like the web, mapping databases, business directories, etc., without any access to or involvement from the user’s private data. Even more enhanced functionality can be done with the limited set of personal data that Siri already uses, such as location and contacts. Google and others do these sorts of non-creepy or less-creepy services far better than Apple, too — not just the creepy ones. ↩︎