Transcription
Apple has a secret playbook it's used for 40 years to dominate industry after industry, and right now it's about to run that exact playbook on AI.
With the underwhelming rollout of Apple Intelligence and the delay of a smarter Siri, many people believe Apple is already losing the AI race. After all, OpenAI, Anthropic, and Google have dominated the headlines, while Apple has remained unusually quiet.
But what if we told you Apple still has a real chance of winning the AI race? We post in-depth tech commentary every week. So, if you're into content like this, consider subscribing to our channel. Here are three reasons why we believe Apple will win the AI race.
Number one, Apple doesn't need to be first. One of the biggest misconceptions about Apple is that it's successful because it invents entirely new product categories. In reality, that's not true for many of its most iconic products. Apple's real superpower is taking an existing idea, refining it until it's simple enough for everyone to use, and then making it the new standard.
Take the touchscreen smartphone, for example. Long before Steve Jobs unveiled the original iPhone in 2007, researchers and technology companies had been experimenting with touchscreen interfaces for decades. As early as the 1980s, engineers were developing touch-based computing systems. In 1982, University of Toronto researcher Nimish Mehta demonstrated one of the earliest multi-touch technologies in a laboratory setting. In 2006, the LG Prada became the first commercially released capacitive touchscreen phone, arriving months before the iPhone.
Then Apple introduced the iPhone. The revolutionary part wasn't simply that it had a touchscreen. It was the experience. Multi-touch gestures like pinch-to-zoom, smooth scrolling, and intuitive swiping made interacting with a phone feel natural. The hardware and software were designed together so seamlessly that the stylus became unnecessary. Today, when you picture a smartphone, you're probably imagining something that looks remarkably similar to the original iPhone. That's because Apple didn't invent the smartphone. It redefined what a smartphone should be.
The same story played out with the iPod. MP3 players had existed for years before Apple entered the market. There were dozens of options, but they were often clunky, confusing, and difficult to manage. Apple paired elegant hardware with iTunes, creating a simple ecosystem for buying, organizing, and listening to music. Almost overnight, the iPod became the MP3 player everyone wanted.
You can see the same pattern with AirPods and wireless earbuds, the Apple Watch and smartwatches, and Touch ID and fingerprint authentication on smartphones. Apple wasn't the first to introduce these technologies, but it perfected the user experience and helped make them mainstream.
Artificial intelligence is in a similar position today. The technology is advancing at an incredible pace, but it's still in its formative years. Different companies excel at different things. OpenAI has pushed conversational AI into the mainstream. Anthropic has built models known for reasoning and safety. Google continues to integrate AI across its ecosystem. Yet, there is still no universally accepted winner. That creates an opportunity for Apple.
Apple has already demonstrated its AI research through projects like Ferret, and it has the advantage of learning from the strengths and weaknesses of the current generation of AI systems. Rather than trying to be first, Apple can do what it has done repeatedly over the past four decades: study what already works, eliminate what doesn't, and deliver an AI experience that is simpler, more intuitive, and more deeply integrated into people's everyday lives. If history is any guide, Apple doesn't have to invent the future of AI. It simply has to make AI so seamless and useful that for millions of people, it becomes the default way of interacting with technology.
Second, Apple controls the entire ecosystem. Winning the AI race requires two things. First, your AI model has to be powerful, reliable, and useful in everyday life. Second, it has to become widely adopted. Apple has a unique advantage in both.
Running a modern AI model isn't just about writing good software. It also depends heavily on the hardware it runs on, the operating system managing that hardware, and the chips performing billions of calculations every second. Most of today's leading AI companies only control one piece of that puzzle. Take ChatGPT running on a Samsung phone as an example. The experience depends on several different companies working together. Samsung builds the phone, Google develops Android, Qualcomm designs the processors, and OpenAI provides the AI software. Each company optimizes its own product, but no single company controls the entire experience.
Apple is different. Apple designs the iPhone, it develops iOS, it designs its own A-series chips with dedicated neural engines built specifically for machine learning. Because Apple controls the hardware, the software, and the silicon, it can optimize every layer of the AI experience. That level of vertical integration could enable faster performance, lower power consumption, and more advanced on-device AI. In the long run, it could even make sophisticated offline AI practical for everyday users, reducing dependence on cloud servers while improving privacy and responsiveness.
The second advantage is distribution. ChatGPT reportedly has around 1 billion monthly users, while Claude has roughly 200 million. Apple, on the other hand, has more than 2 billion active devices already in people's hands. If Apple launches a capable AI assistant that is deeply integrated into the iPhone, iPad, Mac, Apple Watch, and AirPods, it won't need to convince billions of people to download a new app. The users are already there. Combined with the trust people have built in the Apple ecosystem over nearly two decades, Apple has the potential to make its AI one of the most widely used in the world almost overnight.
Finally, Apple has the money to buy, build, and scale AI. The final reason Apple shouldn't be counted out is simple: money. Artificial intelligence is one of the most expensive technologies in history. Training frontier models, building data centers, designing custom chips, and hiring the world's best AI researchers all require billions of dollars. Fortunately for Apple, money isn't a problem. Apple generates enormous profits every year, allowing it to invest in AI for the long term without rushing unfinished products to market. It can build larger AI infrastructure, recruit top talent, and continue investing for years before expecting a return.
More importantly, Apple has a history of accelerating innovation through strategic acquisitions. In 2005, it acquired FingerWorks, whose multi-touch technology helped shape the iPhone's revolutionary interface. It acquired Siri in 2010, turning it into the voice assistant built into every iPhone, and later acquired Shazam to strengthen its music recognition capabilities. The AI industry is filled with promising startups. With its financial strength, Apple can acquire breakthrough technologies instead of developing everything from scratch, then refine and integrate them into its ecosystem. If history is any guide, Apple's greatest advantage may not be inventing every breakthrough. It may be recognizing the best ones and making them mainstream.