Shoppers looking for gadgets and gizmos powered by generative AI technology to gift to their loved ones won’t have many options to choose from this holiday season.
Generative artificial intelligence has taken Silicon Valley by storm since the launch of OpenAI’s ChatGPT chatbot in November 2022. Although startups have raised billions to build new GenAI tools and tech giants have bought millions of Nvidia processors to train AI models, few companies have delivered new hardware built with the new-age tech as its focal point.
There was a lot of optimism over the potential of GenAI gadgets at the CES trade show in January, said Paul Gagnon, vice president for analyst firm Circana. In particular, products from high-profile startups such as Humane and Rabbit, which were marketed as being able to translate, answer questions, take voice memos and set alarms, were drawing buzz, Gagnon said.
But many of these new GenAI devices didn’t work as well as people expected, with reviewers saying that the gadgets were too slow and too prone to failure.
“As we’ve gone through the year, and those kinds of promises — which I’ll be honest, were pretty nebulous to start with — there’s been a bit of a struggle with communicating that to consumers,” Gagnon said.
A key reason GenAI hardware hasn’t had a breakthrough is that current devices are “compute restrained,” meaning they require more powerful silicon chips and related components to perform better, particularly when compared with smartphones, said Ben Bajarin, CEO of Creative Strategies, a market research firm.
Additionally, consumers may find current GenAI devices too expensive, and they may be confused about what the devices can actually do, he said.
GenAI devices, such as the Ray-Ban Meta smart glasses, also typically require a smartphone connection for an accompanying app as well as strong internet access, because a bad internet connection can lead to performance delays that frustrate people, Bajarin said.
While companies such as Microsoft, Apple, Intel, Dell and Lenovo have also heavily marketed new lineups of personal computers capable of performing GenAI tasks, consumers have yet to perk up to the sales pitch, said Ryan Reith, an IDC program vice president for mobile devices.
“I don’t think that there’s actually a need for consumers to go out and get one of these more expensive PCs,” Reith said, noting that people may be confused about why they need beefier computers when they can already access tools such as ChatGPT through their current PCs.
The reality is that while GenAI has captivated Silicon Valley, it’s still “inning zero” in regard to widespread adoption, Bajarin said.
“Even though I can rattle off all these productivity stats of how people are using AI today, it’s a very small number of people,” he said. “This is not mainstream.”
It may not be until 2025 that consumers see a “big explosion” in GenAI computers, smartphones and new gadgets, said Steve Koenig, vice president of research at the Consumer Technology Association, which produces CES.
Despite Silicon Valley not having a breakout year for GenAI hardware, here are a few GenAI devices early adopters can buy.
Ray-Ban Meta glasses
Meta released the second generation of its Ray-Ban smart glasses in 2023, but the company began rolling out GenAI features for the device earlier this year and announced several new AI capabilities at its Connect event in September.
The glasses don’t offer users augmented reality capabilities, but people can use the device to take photos, listen to music and ask the Meta AI digital assistant for information about the things within their field of view.
With the help of the device’s mics and camera, for instance, users can ask the Meta AI digital assistant to recommend a recipe when they walk through a grocery aisle and scan the shelves, the company said in a blog post.
Meta, which makes Facebook and Instagram, is selling certain versions of the glasses for 20% off through Dec. 2. This means that a pair of the Ray-Ban Meta Skyler style of glasses will cost $239.20 instead of $299 if bought online.
Rabbit r1
The Rabbit r1 is a $200 gizmo that looks like an orange, miniaturized tablet with a playful aesthetic that’s more Nintendo Switch than Apple iPad.
Outfitted with a camera and dual mics, the r1 can record audio clips and set timers or perform more advanced tasks, such as helping users recall details from past conversations, search results and voice recordings. After the device began shipping in March, reviewers criticized the r1 for stumbling at various tasks and failing to outshine smartphones that can do many of the same functions.
The startup “has used that feedback to rapidly make very significant improvements to the user experience” and has released scores of updates to improve, Rabbit CEO Jesse Lyu told CNBC in a statement.
Despite the harsh reviews, Rabbit has “sold more than 100,000 r1 devices when we originally expected to sell only 3,000” and the company is “seeing a return rate of less than 5%, which is very solid for a first-generation product,” Lyu said.
Rabbit is currently running a deal that gives shoppers free shipping, or $15 off, if they order an r1 by Dec. 4.
Bee
After raising $7 million in funding in July, the startup Bee AI will begin selling its GenAI device, the Bee, on Friday.
The Bee looks like an internet-connected smartwatch and functions like an advanced digital assistant. Its dual mics allow it to listen and analyze people’s voice memos and conversations to provide summaries and to-do lists, Bee AI CEO Maria de Lourdes Zollo told CNBC.
The Bee can also be integrated with health-care tools and people’s Google and Gmail accounts to help generate personalized summaries and action items, Zollo said. Although the startup offers a Bee app for the Apple Watch for people who don’t want to buy another hardware device, she said the core Bee device is better at understanding voices in loud environments.
Shoppers can buy the Bee for $49.99 and get its basic tasks, but they will have to pay a $15-per-month subscription for more features such as “better memory or better capabilities,” Zollo said.
For Black Friday, Bee is offering shoppers three free months of the device’s subscription service. The device should ship in time for Christmas, Zollo said.
Meta approached artificial intelligence startup Perplexity AI about a potential takeover bid before ultimately investing $14.3 billion into Scale AI, CNBC confirmed on Friday.
The two companies did not finalize a deal, according to two people familiar with the matter who asked not to be named because of the confidential nature of the negotiations.
One person familiar with the talks said it was “mutually dissolved,” while another person familiar with the matter said Perplexity walked away from a potential deal.
Bloomberg earlier reported the talks between Meta and Perplexity. Perplexity declined to comment. Meta did not immediately respond to CNBC’s request for comment.
Meta’s attempt to purchase Perplexity serves as the latest example of Mark Zuckerberg‘s aggressive push to bolster his company’s AI efforts amid fierce competition from OpenAI and Google parent Alphabet. Zuckerberg has grown agitated that rivals like OpenAI appear to be ahead in both underlying AI models and consumer-facing apps, and he is going to extreme lengths to hire top AI talent, as CNBC has previously reported.
Read more CNBC reporting on AI
Meta now has a 49% stake in Scale after its multibillion-dollar investment, though the social media company will not have any voting power. Scale AI’s founder Alexandr Wang, along with a small number of other Scale employees, will join Meta as part of the agreement.
Earlier this year, Meta also tried to acquire Safe Superintelligence, which was reportedly valued at $32 billion in a fundraising round in April, as CNBC reported on Thursday.
Daniel Gross, the CEO of Safe Superintelligence, and former GitHub CEO Nat Friedman are joining Meta’s AI efforts, where they will work on products under Wang. Gross runs a venture capital firm with Friedman called NFDG, their combined initials, and Meta will get a stake in the firm.
OpenAI CEO Sam Altman said on the latest episode of the “Uncapped” podcast, which is hosted by his brother, that Meta had tried to poach OpenAI employees by offering signing bonuses as high as $100 million with even larger annual compensation packages.
“I’ve heard that Meta thinks of us as their biggest competitor,” Altman said on the podcast. “Their current AI efforts have not worked as well as they have hoped and I respect being aggressive and continuing to try new things.”
Ether ETFs have finally come to life this year after some started to fear they may be becoming zombie funds.
Collectively, the funds tracking the price of spot ether are on pace for their sixth consecutive week of inflows and eight positive week in the last nine, according to SoSoValue.
“What we’re seeing is institutional recalibration,” said Ben Kurland, CEO at crypto charting and research platform DYOR. “After the initial ETH ETF approval fizzled without a price pop, smart money started quietly building positions. They’re betting not on price momentum but on positioning ahead of utility unlocks like staking access, options listings, and eventually inflows from retirement platforms.”
The first year of ether ETFs, which launched in July 2024, has been characterized by weak demand. While the funds have had spikes in inflows, they’ve trailed far behind bitcoin ETFs in both inflows and investor attention – amassing about $3.9 billion in net inflows since listing versus bitcoin ETFs’ $36 billion in their first year of trading.
“With increasing acceptance of crypto on Wall Street, especially now as a means for payments and remittances, investors are being drawn to ETH ETFs,” said Chris Rhine, head of liquid active strategies at Galaxy Digital.
Additionally, he added, the CME basis on ether – or the price difference between ether futures and the spot price – is higher than that of bitcoin, giving arbitrageurs an opportunity to profit by going long on ether ETFs while shorting futures (a common trading strategy) and contributing to the uptrend in ether ETF inflows.
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Ether (ETH) 1 month
Despite the uptrend in inflows, the price of ether itself is negative for this month and flat over the past month.
For the year, it’s down 25% as it’s been suffering from an identity crisis fueled by uncertainty about Ethereum’s value proposition, weaker revenue since its last big technical upgrade and increasing competition from Solana. Market volatility driven by geopolitical uncertainty this year has not helped.
In March, Standard Chartered slashed its ether price target by more than half. However, the firm also said the coin could still see a turnaround this year.
Since last week’s big spike in inflows, they’ve “slowed but stayed net positive, suggesting conviction, not hype,” Kurland said. “The market looks like a heart monitor, but the buyers are treating it like a long-term infrastructure bet.”
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A motorcycle is seen near a building of the Taiwan Semiconductor Manufacturing Company (TSMC), which is a Taiwanese multinational semiconductor contract manufacturing and design company, in Hsinchu, Taiwan, on April 16, 2025.
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Semiconductor stocks declined Friday following a report that the U.S. is weighing measures that would terminate waivers allowing some chipmakers to send American technology to China.
Commerce Department official Jeffrey Kessler told Samsung Electronics, SK Hynix and Taiwan Semiconductor this week that he wanted to cancel their waivers, which allow them to send U.S. chipmaking tech to their factories in China, the Wall Street Journal reported, citing people familiar with the matter.
The latest reported move by the Commerce Department comes as the U.S. and China hold an unsteady truce over tariffs and trade, with chip controls a key sticking point.
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The countries agreed to the framework of a second trade agreement in London days ago after relations soured following the initial tariff pause in May.
The U.S. issued several chip export changes after the May pause that rattled relations, with China calling the rules “discriminatory.”
U.S. chipmakers have been hit with curbs over the last few years, limiting the ability to sell advanced artificial intelligence chips to China due to national security concerns.
During its earnings report last month, Nvidia said the recent export restriction on its China-bound H20 chips hindered sales by about $8 billion.
Nvidia CEO Jensen Huang told investors on an earnings call that the $50 billion market in China for AI chips is “effectively closed to U.S. industry.” During a CNBC interview in May, he called getting blocked from China’s AI market a “tremendous loss.”