Meta’s hefty investment in artificial intelligence includes development of an AI system designed to power Facebook’s entire video recommendation engine across all its platforms, a company executive said Wednesday.
Tom Alison, the head of Facebook, said part of Meta’s “technology roadmap that goes to 2026” involves developing an AI recommendation model that can power both the company’s TikTok-like Reels short video service and more traditional, longer videos.
To date, Meta has typically used a separate model for each of its products, such as Reels, Groups and the core Facebook Feed, Alison said onstage at Morgan Stanley’s tech conference in San Francisco.
As part of Meta’s ambitious foray into AI, the company has been spending billions of dollars on Nvidia graphics processing units, or GPUs. They’ve become the primary chips used by AI researchers for training the types of large language models used to power OpenAI’s popular ChatGPT chatbot and other generative AI models.
Alison said “phase 1” of Meta’s tech roadmap involved switching the company’s current recommendation systems to GPUs from more traditional computer chips, helping to improve the overall performance of products.
As interest in LLMs exploded last year, Meta executives were struck by how these big AI models could “handle lots of data and all kinds of very general-purpose types of activities like chatting,” Alison said. Meta came to see the possibility of a giant recommendation model that could be used across products, and by last year, built “this kind of new model architecture,” Alison said, adding that the company tested it on Reels.
This new “model architecture” helped Facebook obtain “an 8% to 10% gain in Reels watch time” on the core Facebook app, which Alison said helped prove that the model was “learning from the data much more efficiently than the previous generation.”
“We’ve really focused on kind of investing more in making sure that we can scale these models up with the right kind of hardware,” he said.
Meta is now in “phase 3” of its re-architecture of the system, which involves trying to validate the technology and push it across multiple products.
“Instead of just powering Reels, we’re working on a project to power our entire video ecosystem with this single model, and then can we add our Feed recommendation product to also be served by this model,” Alison said. “If we get this right, not only will the recommendations be kind of more engaging and more relevant, but we think the responsiveness of them can improve as well.”
Illustrating out how it will work if successful, Alison said, “If you see something that you’re into in Reels, and then you go back to the Feed, we can kind of show you more similar content.”
Alison said Meta has accumulated a massive stockpile of GPUs that will be used to help its broader generative AI efforts, such as development of digital assistants.
Some generative AI projects Meta is considering include incorporating more sophisticated chatting tools into its core Feed so a person who sees a “recommended post about Taylor Swift,” could perhaps “easily just click a button and say, ‘Hey Meta AI, tell me more about what I’m seeing with Taylor Swift right now.'”
Meta is also experimenting with integrating its AI chatting tool within Groups, so a member of a Facebook baking group could potentially ask a question about desserts and get an answer from a digital assistant.
“I think we have the opportunity to put generative AI in kind of a multiplayer kind of consumer environment,” Alison said.
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People stand in front of an Apple store in Beijing, China, on April 9, 2025.
Tingshu Wang | Reuters
Apple iPhone sales in China rose in the second quarter of the year for the first time in two years, Counterpoint Research said, as the tech giant looks to turnaround its business in one of its most critical markets.
Sales of iPhones in China jumped 8% year-on-year in the three months to the end of June, according to Counterpoint Research. It’s the first time Apple has recorded growth in China since the second quarter of 2023.
Apple’s performance was boosted by promotions in May as Chinese e-commerce firms discounted Apple’s iPhone 16 models, its latest devices, Counterpoint said. The tech giant also increased trade-in prices for some iPhone.
“Apple’s adjustment of iPhone prices in May was well timed and well received, coming a week ahead of the 618 shopping festival,” Ethan Qi, associate director at Counterpoint said in a press release. The 618 shopping festival happens in China every June and e-commerce retailers offer heavy discounts.
Apple’s return to growth in China will be welcomed by investors who have seen the company’s stock fall around 15% this year as it faces a number of headwinds.
Since then, Huawei has aggressively launched devices in China and has even begun dipping its toe back into international markets. The Chinese tech giant has found success eating away at some of Apple’s market share in China.
Huawei’s sales rose 12% year-on-year in the second-quarter, according to Counterpoint. The firm was the biggest player in China by market share in the second quarter, followed by Vivo and then Apple in third place.
“Huawei is still riding high on core user loyalty as they replace their old phones for new Huawei releases,” Counterpoint Senior Analyst Ivan Lam said.
Chinese tech giant Baidu has bolstered its core search platform with artificial intelligence in the biggest overhaul of the product in 10 years.
Analysts told CNBC the move was a bid to keep ahead of fast-moving rivals like DeepSeek, rather than traditional search players.
“There has been some small pressure on the search business but the focus on AI and Ernie Bot is a key move ahead,” Dan Ives, global head of tech research at Wedbush Securities, told CNBC by email. Ernie Bot is Baidu’s AI chatbot.
“Baidu is not waiting around to watch the paint dry, full steam ahead on AI,” he added.
Baidu AI overhaul
Baidu is China’s biggest search engine, but — as is also being seen by Google — the search market is being disrupted.
Users are flocking instead to AI services such as ChatGPT or DeepSeek, which shocked the world this year with its advanced model it claimed was created at a fraction of the cost of rivals.
But Kai Wang, Asia equity market strategist at Morningstar, also noted that short video platforms such as Douyin and Kuaishou are also getting into AI search and piling pressure on Baidu.
To counter this, Baidu made some major changes to its core search product:
Users can now enter more than a thousand characters in the search box, versus 28 previously;
Questions can be asked in a more direct and conversational manner, mirroring how people now use chatbots;
Users can ask questions through voice but also prompt the seach engine with pictures and files;
Baidu has integrated its AI chatbot features, which enable users to generate photos, text and videos, into the product.
“This is more aligned with how people use ChatGPT and DeepSeek in terms of how they look for answers,” Wang said.
Outside of China, Google has also been looking to enhance its core search product with AI, highlighting how search has been under pressure from the burgeoning technology.
Baidu on the offense
Baidu was one of China’s first movers when it came to AI, releasing its first models and ChatGPT-style product Ernie Bot to the public in 2023. Since then, it has aggressively launched updated AI models.
However, the Beijing-headquartered company has also faced intense competition from fellow tech giants like Alibaba and Tencent, as well as upstarts such as DeepSeek.
These companies have also been launching new models and infusing AI into their products and Baidu’s stock has fallen behind as a result. Baidu shares have risen around 2.5% this year, versus a 30.5% surge for Alibaba and a 20% rise for Tencent.
“This is a defensive and offensive move … Baidu needs to be aggressive and perception-wise show they are not the little brother to Tencent on the AI front,” Wedbush Securities’ Ives added.