AI Insights
Apple’s ‘F1’ success doesn’t make up for AI stumbles
Formula One F1 – United States Grand Prix – Circuit of the Americas, Austin, Texas, U.S. – October 23, 2022 Tim Cook waves the chequered flag to the race winner Red Bull’s Max Verstappen
Mike Segar | Reuters
Apple had two major launches last month. They couldn’t have been more different.
First, Apple revealed some of the artificial intelligence advancements it had been working on in the past year when it released developer versions of its operating systems to muted applause at its annual developer’s conference, WWDC. Then, at the end of the month, Apple hit the red carpet as its first true blockbuster movie, “F1,” debuted to over $155 million — and glowing reviews — in its first weekend.
While “F1” was a victory lap for Apple, highlighting the strength of its long-term outlook, the growth of its services business and its ability to tap into culture, Wall Street’s reaction to the company’s AI announcements at WWDC suggest there’s some trouble underneath the hood.
“F1” showed Apple at its best — in particular, its ability to invest in new, long-term projects. When Apple TV+ launched in 2019, it had only a handful of original shows and one movie, a film festival darling called “Hala” that didn’t even share its box office revenue.
Despite Apple TV+ being written off as a costly side-project, Apple stuck with its plan over the years, expanding its staff and operation in Culver City, California. That allowed the company to build up Hollywood connections, especially for TV shows, and build an entertainment track record. Now, an Apple Original can lead the box office on a summer weekend, the prime season for blockbuster films.
The success of “F1” also highlights Apple’s significant marketing machine and ability to get big-name talent to appear with its leadership. Apple pulled out all the stops to market the movie, including using its Wallet app to send a push notification with a discount for tickets to the film. To promote “F1,” Cook appeared with movie star Brad Pitt at an Apple store in New York and posted a video with actual F1 racer Lewis Hamilton, who was one of the film’s producers.
(L-R) Brad Pitt, Lewis Hamilton, Tim Cook, and Damson Idris attend the World Premiere of “F1: The Movie” in Times Square on June 16, 2025 in New York City.
Jamie Mccarthy | Getty Images Entertainment | Getty Images
Although Apple services chief Eddy Cue said in a recent interview that Apple needs the its film business to be profitable to “continue to do great things,” “F1” isn’t just about the bottom line for the company.
Apple’s Hollywood productions are perhaps the most prominent face of the company’s services business, a profit engine that has been an investor favorite since the iPhone maker started highlighting the division in 2016.
Films will only ever be a small fraction of the services unit, which also includes payments, iCloud subscriptions, magazine bundles, Apple Music, game bundles, warranties, fees related to digital payments and ad sales. Plus, even the biggest box office smashes would be small on Apple’s scale — the company does over $1 billion in sales on average every day.
But movies are the only services component that can get celebrities like Pitt or George Clooney to appear next to an Apple logo — and the success of “F1” means that Apple could do more big popcorn films in the future.
“Nothing breeds success or inspires future investment like a current success,” said Comscore senior media analyst Paul Dergarabedian.
But if “F1” is a sign that Apple’s services business is in full throttle, the company’s AI struggles are a “check engine” light that won’t turn off.
Replacing Siri’s engine
At WWDC last month, Wall Street was eager to hear about the company’s plans for Apple Intelligence, its suite of AI features that it first revealed in 2024. Apple Intelligence, which is a key tenet of the company’s hardware products, had a rollout marred by delays and underwhelming features.
Apple spent most of WWDC going over smaller machine learning features, but did not reveal what investors and consumers increasingly want: A sophisticated Siri that can converse fluidly and get stuff done, like making a restaurant reservation. In the age of OpenAI’s ChatGPT, Anthropic’s Claude and Google’s Gemini, the expectation of AI assistants among consumers is growing beyond “Siri, how’s the weather?”
The company had previewed a significantly improved Siri in the summer of 2024, but earlier this year, those features were delayed to sometime in 2026. At WWDC, Apple didn’t offer any updates about the improved Siri beyond that the company was “continuing its work to deliver” the features in the “coming year.” Some observers reduced their expectations for Apple’s AI after the conference.
“Current expectations for Apple Intelligence to kickstart a super upgrade cycle are too high, in our view,” wrote Jefferies analysts this week.
Siri should be an example of how Apple’s ability to improve products and projects over the long-term makes it tough to compete with.
It beat nearly every other voice assistant to market when it first debuted on iPhones in 2011. Fourteen years later, Siri remains essentially the same one-off, rigid, question-and-answer system that struggles with open-ended questions and dates, even after the invention in recent years of sophisticated voice bots based on generative AI technology that can hold a conversation.
Apple’s strongest rivals, including Android parent Google, have done way more to integrate sophisticated AI assistants into their devices than Apple has. And Google doesn’t have the same reflex against collecting data and cloud processing as privacy-obsessed Apple.
Some analysts have said they believe Apple has a few years before the company’s lack of competitive AI features will start to show up in device sales, given the company’s large installed base and high customer loyalty. But Apple can’t get lapped before it re-enters the race, and its former design guru Jony Ive is now working on new hardware with OpenAI, ramping up the pressure in Cupertino.
“The three-year problem, which is within an investment time frame, is that Android is racing ahead,” Needham senior internet analyst Laura Martin said on CNBC this week.
Apple’s services success with projects like “F1” is an example of what the company can do when it sets clear goals in public and then executes them over extended time-frames.
Its AI strategy could use a similar long-term plan, as customers and investors wonder when Apple will fully embrace the technology that has captivated Silicon Valley.
Wall Street’s anxiety over Apple’s AI struggles was evident this week after Bloomberg reported that Apple was considering replacing Siri’s engine with Anthropic or OpenAI’s technology, as opposed to its own foundation models.
The move, if it were to happen, would contradict one of Apple’s most important strategies in the Cook era: Apple wants to own its core technologies, like the touchscreen, processor, modem and maps software, not buy them from suppliers.
Using external technology would be an admission that Apple Foundation Models aren’t good enough yet for what the company wants to do with Siri.
“They’ve fallen farther and farther behind, and they need to supercharge their generative AI efforts” Martin said. “They can’t do that internally.”
Apple might even pay billions for the use of Anthropic’s AI software, according to the Bloomberg report. If Apple were to pay for AI, it would be a reversal from current services deals, like the search deal with Alphabet where the Cupertino company gets paid $20 billion per year to push iPhone traffic to Google Search.
The company didn’t confirm the report and declined comment, but Wall Street welcomed the report and Apple shares rose.
In the world of AI in Silicon Valley, signing bonuses for the kinds of engineers that can develop new models can range up to $100 million, according to OpenAI CEO Sam Altman.
“I can’t see Apple doing that,” Martin said.
Earlier this week, Meta CEO Mark Zuckerberg sent a memo bragging about hiring 11 AI experts from companies such as OpenAI, Anthropic, and Google’s DeepMind. That came after Zuckerberg hired Scale AI CEO Alexandr Wang to lead a new AI division as part of a $14.3 billion deal.
Meta’s not the only company to spend hundreds of millions on AI celebrities to get them in the building. Google spent big to hire away the founders of Character.AI, Microsoft got its AI leader by striking a deal with Inflection and Amazon hired the executive team of Adept to bulk up its AI roster.
Apple, on the other hand, hasn’t announced any big AI hires in recent years. While Cook rubs shoulders with Pitt, the actual race may be passing Apple by.
AI Insights
Welcome MeriTalk’s 2025 AI Honors Award Winners! – MeriTalk
Artificial intelligence – whether classical, generative, agentic, and wherever the newest models take us next – has become the dominant force behind improving government technology, network security, mission success, and citizen service delivery.
And driving that wave forward is the latest generation of AI practitioners, developers, and visionary thinkers who are leading the way in tapping into the technology’s potential to benefit us all.
That’s why MeriTalk is delighted to honor the 2025 class of AI Honors Award Winners – the 30 women and men working across government and industry right now to bring AI to bear in shaping the ongoing revolution in government IT service.
Each of the 2025 AI Honors Award winners was nominated by their peers for outstanding work in putting AI tech to work for government missions. A few of them are familiar to many of us, but most are the fresh talent emerging into the technology limelight.
“This year’s honorees are turning the buzz of AI into real-world progress across government,” said Caroline Boyd, principal, government programs at MeriTalk. “They’re redefining what’s possible and we’re proud to spotlight their work in driving innovation and impact.”
Please join us at Tech Tonic on July 17 from 5 p.m. to 9 p.m. at Morton’s the Steakhouse in Washington, D.C. to celebrate the winners who will receive their awards in person. Drop us an RSVP today and join in the celebration at the Happiest Hour in Govt IT.
Here are the 30 AI Honors Award winners for 2025:
Government:
Togai Andrews, Chief Information Security Officer, Bureau of Engraving and Printing;
Taka Ariga, former Chief Artificial Intelligence Officer and Chief Data Officer, Office of Personnel Management;
Dean Ball, Senior Policy Advisor, Artificial Intelligence and Emerging Technology, White House Office of Science and Technology Policy;
Gabe Chiulli, Chief Technology Officer, U.S. Army Enterprise Cloud Management Agency;
Susan Davenport, Chief Data Officer and Chief Artificial Intelligence Officer, U.S. Air Force;
Leonel Garciga, Chief Information Officer, U.S. Army;
J. Matt Gilkeson, Chief Technology Officer, Chief Data Officer, and Artificial Intelligence Officer for Information Technology, Transportation Security Administration;
Mike Horton, Acting Chief Artificial Intelligence Officer, Department of Transportation;
Lt. Col. Chuck Kubik, GigEagle Strategy and Product Lead, U.S. Air Force;
Douglas Matty, Chief Digital and Artificial Intelligence Officer, Department of Defense;
Matheus Passos, Chief Architect and Responsible Artificial Intelligence Official, Department of Commerce;
Lakshmi Raman, Chief Artificial Intelligence Officer, Central Intelligence Agency;
Dr. Reza Rashidi, Acting Chief Data and Analytics Officer, Internal Revenue Service;
Nael Samha, Executive Director, Targeting and Analysis Systems Program Directorate, U.S. Customs and Border Protection;
Thomas Shedd, Director, Technology Transformation Services, and Deputy Commissioner, Federal Acquisition Service, General Services Administration; Department of Labor;
Zach Whitman, Chief Artificial Intelligence Officer and Chief Data Scientist, General Services Administration; and
Morgan Zimmerman, Artificial Intelligence Policy Analyst, Office of Management and Budget, Office of the Federal Chief Information Officer.
Industry:
Jonathan Alboum, Federal Chief Technology Officer, ServiceNow;
Nicolas Chaillan, Chief Executive Officer and Founder, Ask Sage;
Brandy Durham, Vice President, Data and Artificial Intelligence Practice, ManTech;
John Dvorak, Chief Technology Officer, Public Sector, Red Hat;
Burnie Legette, Solution Architect, Artificial Intelligence and Data Operationalization, Intel Corporation;
Amanda Levay, Chief Executive Officer and Founder, Redactable;
Krishna Narayanaswamy, Chief Technology Officer and Co-Founder, Netskope;
Vimesh Patel, Chief Technology Advisor, Federal, World Wide Technology;
Bill Rowan, Vice President, Public Sector, Splunk, a Cisco Company;
Ryan Simpson, Chief Technologist, Public Sector, NVIDIA;
Josh Slattery, Vice President, Technology Sales, Vertosoft;
Chris “CT” Thomas, Technical Director, Global Defense, Artificial Intelligence, and Data Systems, Dell Technologies; and
Chris Townsend, Global Vice President, Public Sector, Elastic.
AI Insights
El Salvador Evolves AI Strategy by Launching Nvidia-Powered National Lab – Bitcoin.com News
AI Insights
Scientists create biological artificial intelligence system
The original development of directed evolution, performed first in bacteria, was recognised by the 2018 Noble Prize in Chemistry.
“The invention of directed evolution changed the trajectory of biochemistry. Now, with PROTEUS, we can program a mammalian cell with a genetic problem we aren’t sure how to solve. Letting our system run continuously means we can check in regularly to understand just how the system is solving our genetic challenge,” said lead researcher Dr Christopher Denes from the Charles Perkins Centre and School of Life and Environmental Sciences
The biggest challenge Dr Denes and the team faced was how to make sure the mammalian cell could withstand the multiple cycles of evolution and mutations and remain stable, without the system “cheating” and coming up with a trivial solution that doesn’t answer the intended question.
They found the key was using chimeric virus-like particles, a design consisting of taking the outside shell of one virus and combining it with the genes of another virus, which blocked the system from cheating.
The design used parts of two significantly different virus families creating the best of both worlds. The resulting system allowed the cells to process many different possible solutions in parallel, with improved solutions winning and becoming more dominant while incorrect solutions instead disappear.
“PROTEUS is stable, robust and has been validated by independent labs. We welcome other labs to adopt this technique. By applying PROTEUS, we hope to empower the development of a new generation of enzymes, molecular tools and therapeutics,” Dr Denes said.
“We made this system open source for the research community, and we are excited to see what people use it for, our goals will be to enhance gene-editing technologies, or to fine tune mRNA medicines for more potent and specific effects,” Professor Neely said.
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