One year ago, Apple announced Apple Intelligence, its response to the wave of sophisticated chatbots and systems kicked off by the arrival of ChatGPT and the age of generative AI.
Analysts said Apple’s installed base of more than 1 billion iPhones, the data on its device and its custom-designed silicon chips were advantages that would help the company become an AI leader.
But it’s been an underwhelming 12 months since then.
Apple Intelligence stumbled out of the gate while rivals like OpenAI, Google and Meta have continued to make headway launching new generative-AI models.
Now, investors are calling for Apple to do something major to catch up in AI, which is rapidly transforming the tech industry.
When CEO Tim Cook speaks at Apple’s annual Worldwide Developers Conference in Cupertino, California, investors on Monday, fans and developers will want to hear how the company’s approach to AI has changed. That’s especially important after some Apple executives have said that the technology could be the reason the iPhone gets supplanted by the next-generation of computer hardware.
“You may not need an iPhone 10 years from now,” Apple services chief Eddy Cue said in court last monthin one of the government’s antitrust case against Google, adding that AI was a “huge technological shift” that can upend incumbents like Apple.
The Apple Intelligence rollout was rocky. The first features launched in October — tools for rewriting text, a new Siri animation and improved voice, and a tool that generates slideshow movies out of user photos — were underwhelming. One key feature, which came out in December, summarized long stacks of text messages. But it was disabled for news and media apps after the BBC discovered that it twisted headlines to display factually incorrect information.
But the biggest stumble for Apple came in early March, when the company said that it was delaying “More personal Siri,” a major improvement to the Siri voice assistant that would integrate it with iPhone apps so it could do things like find details from inside emails and make restaurant reservations.
Apple had been advertising the feature on television as a key reason to buy an iPhone 16, but after delaying the feature until the “coming year,” it pulled the ads from broadcast and YouTube. The company now faces class-action suits from people who claim they were misled into buying a new iPhone.
Tim Cook, chief executive officer of Apple Inc., during the 60th presidential inauguration in the rotunda of the US Capitol in Washington, DC, US, on Monday, Jan. 20, 2025.
Bloomberg | Getty Images
Although Apple Intelligence had a rough first year, the company hasn’t said much publicly. However, it’s reportedly reorganized some of its AI teams.
JPMorgan Chase analyst Samik Chatterjee said in a note this week that investor expectations were set for a “lackluster” WWDC, as the company still needs to bring to market the features it announced last year, versus “addressing the more material issue of lagging behind other large technology companies in relation to advancements in AI.”
Meanwhile, Apple is facing renewed competition in its core business.
OpenAI in May acquired the startup io for about $6.4 billion, bringing in former Apple chief designer Jony Ive to build AI hardware. The company hasn’t provided details about its future devices.
Meta has made a splash with its Ray-Ban Meta Glasses, selling over 2 million units since launching in 2021. The devices use Meta’s Llama large language model to answer spoken questions from the user.
And last month, Android maker Google said its Gemini models will become the default assistant on Android phones. The company showed Gemini doing things that go beyond Siri’s capabilities, such as summarizing videos. Google also announced a $150 million partnership with Warby Parker to develop its own pair of AI-powered smart glasses.
A working Apple Intelligence is important for the company to encourage its users to buy new iPhones since devices released before the iPhone 15 Pro in 2023 don’t support the suite of features. But AI hasn’t been a key driver of sales for smartphones yet, and may not be for years, said Forrester analyst Thomas Husson.
“There’s been some new cool features and services, but I don’t think it has drastically changed the experience yet,” Husson said.
Apple declined to comment.
Apple needs to do something big
For years, Apple didn’t like the words “artificial intelligence.” It preferred the more academic term “machine learning.”
Apple focused its efforts on what could efficiently run on its battery-powered phones. The AI race, led by OpenAI and Google, was about bleeding-edge capabilities that required high-powered servers based on Nvidia graphics-processing units, or GPUs.
Then ChatGPT launched in late 2022, making AI the most important term in Silicon Valley. Soon after, Cook was telling investors that Apple was spending “a tremendous amount of time and effort” on the technology.
While Apple Intelligence is based on a series of language and diffusion models that the company trained itself, Apple hasn’t publicly competed with Google, OpenAI, Anthropic, or other companies in what are called “frontier models,” or the most capable AI systems that often have to be trained on large server clusters packed with Nvidia chips and fast memory.
The difference between the way Apple and its rivals approach AI can be seen in the company’s approach to capital expenditures. Apple spent $9.5 billion on capital expenditures in its fiscal 2024, or about 2.4% of its total revenue.
The iPhone maker has rented the computing power needed to train its foundation models, it revealed last year, from Google Cloud and other providers. Apple’s rivals are gobbling up billions of dollars of GPUs to push the technology forward.
Apple’s best chance to quickly catch up up may be to do what it’s done many times in the past: Buy a company, and turn it into a killer feature.
It bought PA Semi in2008 for $278 million,and turned it into the seed for its semiconductor division. Ahead of releasing the Vision Pro headset, Apple bought over 10 startups that worked on virtual and augmented reality. Even Siri was a startup before Apple bought itfor more than $200 million in 2010.
With $133 billion in cash and marketable securities on hand as of the start of May, there isn’t much Apple can’t buy, assuming it could get regulatory clearance. However, OpenAI, Apple’s current Siri partner, is likely out of reach with a valuation of $300 billion. And given OpenAI’s new relationship with Ive to build hardware, there are reasons for Apple to slow the partnership down.
Apple’s senior vice president of Services, Eddy Cue participates in a featured session: “Severance’s” Ben Stiller: Moving Culture Through Innovation and Creativity” during the SXSW 2025 Conference and Festivals at the Austin Convention Center in Austin, Texas on March 9, 2025.
Suzanne Cordeiro | AFP | Getty Images
Anthropic, whose Claude chatbot is powered by one of the leading AI models, was valued at $61.5 billion in a funding round in March. In the Google antitrust case, Cue, a senior vice president at Apple, mentioned Anthropic as a potential replacement for Google as the default search option in the iPhone’s Safari browser.
“They probably need to acquire Anthropic,” said Deepwater Asset Management’s Gene Munster, who has followed Apple for decades, in an interview.
That would be by far Apple’s largest acquisition. To date, the most the company has paid is $3 billion, when it bought Beats Electronics in 2014 for $3 billion, part of an effort to catch Spotify in the music streaming market.
Apple could buy a company that’s developing AI-based apps, even if they’re on open-source or other company models. Perplexity, which is currently fundraising at a $14 billion valuation, has shown strong interest in the smartphone market and understanding of the value of being a default AI service.
In April, Perplexity announced a partnership with Motorola, and it’s reportedly in talks with Samsung to integrate its technology into the South Korean company’s version of Android, as well as take investment from the Apple rival. Cue mentioned that Apple had been in discussions with Perplexity about its technology at the May trial.
It’s also possible for Apple to treat frontier AI like it treated search — as a service that can be filled with a partnership. Apple software chief Craig Federighi implied as much last year at a panel discussion during WWDC, saying that Apple would like to add other AI models, especially for specific purposes, into its Apple Intelligence framework.
Federighi specifically mentioned Google, whose Gemini can now fluidly speak to the user and handle input that comes from photos, videos, voice or text. Documents revealed during the Google trial showed executives from Apple, including Cue and M&A chief Adrian Perica, were involved in the negotiations over Gemini.
Each chip in the M1 family — M1, M1 Pro, M1 Max, and now M1 Ultra.
Courtesy: Apple
Apple’s AI advantages
Apple has been designing its own chips since 2010, and with AI in mind since at least 2018.
The most powerful Apple M-series chips can tap into something called “unified memory,” says WebAI co-founder David Stout, making them ideal for doing AI inference. Apple also includes good GPUs on its chips, he said. WebAI is building software that allows users to fine-tune, train and run big models on consumer hardware.
Stout’s company has built clusters of consumer-grade Mac Studio computers to run big AI models, like Meta’s Llama.
“We picked Apple Silicon because we think it’s the best hardware for AI,” said Stout, adding that in his company’s tests, Apple’s chips can output 100 million tokens per dollar spent versus 12 million tokens per dollar for an Nvidia H100.
Part of Apple’s strategy for Siri, announced last summer, was to cajole its developers to build snippets of new code into their apps, which would make it simpler for Apple Intelligence and Siri to use the apps and get things done.
While Apple is still pushing “App Intents” — the same system powers stuff like lock screen widgets — the framework for how they work with Siri hasn’t been released yet.
Jony Ive attends The Metropolitan Museum of Art’s Costume Institute benefit gala celebrating the opening of the “Superfine: Tailoring Black Style” exhibition on Monday, May 5, 2025, in New York.
Evan Agostini | Invision | AP
‘You may not need an iPhone’
The threat that advanced AI like Google Gemini and OpenAI’s ChatGPT represents to Apple was underscored by Cue at the trial last month. He suggested that the rise of AI threatened Apple’s biggest business.
“AI is a new technology shift, and it’s creating new opportunities for new entrants,” Cue said at the trial last month.
There is a growing sense in Silicon Valley that sophisticated AI interfaces might one day replace smartphones and laptops with new devices that are designed from the ground up to take advantage of AI-based interfaces. That could mean people speaking or chatting with their devices to command AI agents, rather than tapping on touch screens or keyboards.
Upon joining OpenAI in May, Ive said he believes AI is enabling a new generation of hardware.
“I am absolutely certain that we are literally on the brink of a new generation of technology that can make us our better selves,” Ive, the iPhone designer who retired from Apple in 2019, said in a video announcing that his company had been acquired.
Though AI represents a risk to Apple’s current business, Deepwater Asset Management’s Munster said the company has more time than many believe to adapt because of so many years of customer loyalty.
“This is still something that has existential risk to all these companies, including Apple, but I don’t think we’re at some break point in the next year around it,” Munster said.
For a third time since taking office in January, President Donald Trumpplans toextend a deadline that would require China’s ByteDance to divest TikTok’s U.S. business.
“President Trump will sign an additional Executive Order this week to keep TikTok up and running,” White House Press Secretary Karoline Leavitt said in a statement. “As he has said many times, President Trump does not want TikTok to go dark. This extension will last 90 days, which the Administration will spend working to ensure this deal is closed so that the American people can continue to use TikTok with the assurance that their data is safe and secure.”
ByteDance was nearing the deadline of June 19, to sell TikTok’s U.S. operations in order to satisfy a national security law that the Supreme Court upheld just a few days before Trump’s second presidential inauguration. Under the law, app store operators like Apple and Google and internet service providers would be penalized for supporting TikTok.
ByteDance originally faced a Jan. 19 deadline to comply with the national security law, but Trump signed an executive order when he first took office that pushed the deadline to April 5. Trump extended the deadline for the second time a day before that April mark.
Trump told NBC News in May that he would extend the TikTok deadline again if no deal was reached, and he reiterated his plans on Thursday.
Prior to Trump signing the first executive order, TikTok briefly went offline in the U.S. for a day, only to return after the president’s announcement. Apple and Google also removed TikTok from the Apple App Store and Google Play during TikTok’s initial U.S. shut down, but then reinstated the app to their respective app stores in February.
Multiple parties including Oracle, AppLovin, and Billionaire Frank McCourt’s Project Liberty consortium have expressed interest in buying TikTok’s U.S. operations. It’s unclear whether the Chinese government would approve a deal.
— CNBC’s Kevin Breuninger contributed to this report
Amazon Web Services is set to announce an update to its Graviton4 chip that includes 600 gigabytes per second of network bandwidth, what the company calls the highest offering in the public cloud.
Ali Saidi, a distinguished engineer at AWS, likened the speed to a machine reading 100 music CDs a second.
Graviton4, a central processing unit, or CPU, is one of many chip products that come from Amazon’s Annapurna Labs in Austin, Texas. The chip is a win for the company’s custom strategy and putting it up against traditional semiconductor players like Intel and AMD.
At AWS’s re:Invent 2024 conference last December, the company announced Project Rainier – an AI supercomputer built for startup Anthropic. AWS has put $8 billion into backing Anthropic.
AWS Senior Director for Customer and Project Engineering Gadi Hutt said Amazon is looking to reduce AI training costs and provide an alternative to Nvidia’s expensive graphics processing units, or GPUs.
Anthropic’s Claude Opus 4 AI model is trained on Trainium2 GPUs, according to AWS, and Project Rainier is powered by over half a million of the chips – an order that would have traditionally gone to Nvidia.
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Hutt said that while Nvidia’s Blackwell is a higher-performing chip than Trainium2, the AWS chip offers better cost performance.
“Trainium3 is coming up this year, and it’s doubling the performance of Trainium2, and it’s going to save energy by an additional 50%,” he said.
The demand for these chips is already outpacing supply, according to Rami Sinno, director of engineering at AWS’ Annapurna Labs.
“Our supply is very, very large, but every single service that we build has a customer attached to it,” he said.
With Graviton4’s upgrade on the horizon and Project Rainier’s Trainium chips, Amazon is demonstrating its broader ambition to control the entire AI infrastructure stack, from networking to training to inference.
And as more major AI models like Claude 4 prove they can train successfully on non-Nvidia hardware, the question isn’t whether AWS can compete with the chip giant — it’s how much market share it can take.
The release schedule for the Graviton4 update will be provided by the end of June, according to an AWS spokesperson.
The U.S. banking giant told CNBC on Tuesday that it’s planning to launch a so-called deposit token on Coinbase’s public blockchain Base, which is built on top of the Ethereum network. Each deposit token is meant to serve as a digital representation of a commercial bank deposit.
JPMD will offer clients round-the-clock settlement as well as the ability to pay interest to holders. It is a so-called “permissioned token,” meaning it is only available to JPMorgan’s institutional clients — unlike many stablecoins, which are publicly available.
“We see institutions using JPMD for onchain digital asset settlement solutions as well as for making cross-border business-to-business transactions,” Naveen Mallela, global co-head of Kinexys, J.P. Morgan’s blockchain unit, told CNBC Tuesday.
“Given the fact that deposit tokens would eventually be interest bearing as well, this would provide better fungibility with existing deposit products that institutions currently use,” he added.
Deposit token vs. stablecoin
JPMorgan said the benefit of launching a deposit token over a stablecoin is that it gives institutional clients a way to move money around faster and easier while still having a close connection with traditional banking systems.
A stablecoin is a type of digital token that’s designed to be pegged 1:1 to the value of a fiat currency at all times. The most popular stablecoins are Tether’s USDT and Circle’s USDC. The entire stablecoin market is worth approximately $262 billion, according to data from CoinGecko.
In the U.S., stablecoins remain broadly unregulated — although this is likely to change soon. The Senate is set to vote Tuesday on the GENIUS Act, legislation that would introduce formal regulation for such tokens.
Elsewhere, the European Union regulates stablecoins under its Markets in Crypto-Assets Regulation, or MiCA, while the U.K. has also laid out plans to regulate the crypto industry. Britain’s Financial Conduct Authority is currently consulting on proposals to require stablecoin issuers to ensure their tokens maintain their value against a given asset.
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JPMorgan’s digital asset chief told CNBC that the bank chose Coinbase as its blockchain partner since the crypto exchange is already a long-standing client and a leader in the crypto space.
JPMD has had “preliminary interest from large institutional players who want more native onchain cash solutions from pre-eminent and reputed financial institutions,” Mallela added.
Speculation had been building around JPMorgan’s new crypto offering after a trademark application filed by the bank for “JPMD” was made public Monday.
The trademark outlined a broad range of crypto services under the JPMD name, including trading, exchange, transfer and payment services for digital assets.
Various crypto media outlets had speculated whether the bank was about to launch its own stablecoin. However, JPMorgan says that, while its token may share some similarities with a stablecoin, it’s ultimately a different kind of product.