
Anker Recalls 1.1 Million Power Banks for Fires and Explosions: What to Do if You're Affected
Electronics company Anker has announced an official recall of Anker PowerCore 10000 power banks with the model number A1263, following 19 reports of the portable chargers catching fire and exploding.
The Consumer Products Safety Commission reports that more than 1.1 million of the products sold in the US are affected by the recall. The company plans to replace the charging devices, but customers must submit photo evidence of ownership and also prove that they've disposed of the PowerCore devices properly.
The PowerCore, made in China, is now one of four current power bank recalls that have been issued by Anker. The others include the 334 MagGo 10K battery, the 321 Power Bank (5K) and the 535 Power Bank (20K). Other Anker models, including two of CNET's top picks for portable chargers -- Anker 523 PowerCore Slim 10K PD and Anker PowerCore III 10K -- aren't impacted by the recall.
Airlines have taken note of portable battery hazards. Recently, Southwest Airlines changed its policy on charging devices inside of carry-on bags. Some international airlines have also begun limiting the types of lithium chargers fliers can bring on planes due to risks of overheating.
How to check if your Anker PowerCore has been recalled
Anker says the products affected are the A1263 model of the PowerCore 10000 power bank that were purchased between June 1, 2016 and Dec. 31, 2022.
Customers can verify their serial number at a webpage provided by Anker. The serial number is on the bottom of the device.
In entering the number, Anker advises, "Pay attention to the letters and numbers in the serial number: '1', 'L', 'I', '2' and 'Z'. Please note that characters such as '0 (zero)' and 'O' (o) may be entered incorrectly. Regarding the serial number of the target product, 'O' and 'I' are not used.
What to do if your Anker PowerCore has been recalled
In addition to instructing customers to stop using the chargers immediately, the CPSC and Anker posted requirements for receiving a replacement PowerCore device.
They include:
Submitting a photo of the recalled device that shows the model number, serial number, the consumer's name, date of the photo and the word "recalled" written in permanent marker on the device. The information not on the device can be on a piece of paper next to the device in the photo.
Submitting a purchase receipt, though the CPSC says that's not a requirement for the recall.
A confirmation of disposal of the device "in accordance with applicable laws and regulations." Anker advises not disposing of the device until receiving confirmation that it's eligible for the recall.
From Anker: "If the serial number is worn off or not visible, please contact Anker for guidance."
Anker recommends contacting a local hazardous waste collection center versus disposing of it in the trash or through standard recycling services.
For additional questions Anker says customers can email support@anker.com with "Anker A1263 Recall" in the subject line or call 800-988-7973.
Why portable chargers can be a travel hazard
The same reasons that portable charging banks are so easy to carry around are also part of why they can pose a problem. Most use lithium ion technology, which can be used to make battery-based products lighter and efficient, but is also susceptible to overheating or even fires if the batteries are damaged or have degraded.
It's not unlike reports a decade ago of cheap batteries on hoverboards spontaneously combusting. Eventually, the products were banned on planes and in some cases, from being shipped.
"These products are typically unassuming, and are not something that the average consumer thinks can be potentially dangerous," said Don Fountain, a civil trial attorney and the author of Defect Safety, a book about consumer safety and defective products. Fountain is currently representing a case involving portable batteries that does not involve Anker.
"My firm has handled fires and explosions caused by lithium batteries in a variety of products, including power tools, e-bikes, phones, scooters, children's toys, battery packs and others," Fountain said. "I would caution consumers to not store or use these products in a confined or unventilated area that could cause overheating and to not leave these products plugged into home electrical systems for extended periods of periods of time, such as overnight or when on vacation."
Fountain said combusting batteries are especially dangerous in cargo holds or in the cabins of airplanes where it may be difficult to put out a fire.
The attorney said that in the case of Anker's recall, customers don't always keep their proof of purchase, though it's not required in this case. However, he said, "It is unusual that proof of disposal is required for a recall payment or reimbursement."
"Most people that have had an overheating event or a small fire will simply throw the unit away before ever thinking about contacting the manufacturer for a recall reimbursement," Fountain said.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Yahoo
7 minutes ago
- Yahoo
Michael Hicks column: The labor demand shocks of artificial intelligence
The most disruptive technology in human history was almost certainly the wheel. That economic shock, and all the others that followed, give us useful insight into labor market effects of artificial intelligence. The invention of the wheel cut transportation costs by 80% or 90%, dramatically reducing demand for workers who carried goods across and between towns. We've had other technology shocks — the use of fossil fuels, steam and then electric power, the internal combustion engine and computers. All these technologies replaced tasks that were part of jobs. The wheel replaced a strong back, the steam loom replaced strong legs. The use of fossil fuels replaced the cutting, splitting and drying of lumber, and electricity replaced the use of steam looms. For us, the computer has been the most disruptive technology. It radically changed the types of work that almost everybody performs. It also changed our ways of communicating, our amusements, our safety and health. It brought us the internet, social media and now AI. AI has been around in some form since the 1950s. I first heard about it in 1992, when a colleague of mine, then an infantry captain, was sent to obtain a master's degree in AI. By 1997, I was learning the use of rudimentary AI in economic modeling. The new, commercial applications of AI are much more advanced — and interesting — than the early AI algorithms of the 1990s. The large language models are superb for writing reports, school papers and summaries of some topics. Generative AI can construct pictures and movies that are almost indistinguishable from the work of actual humans. The potential applications of these new technologies are boundless, to the extent that any one person could predict. I see all types of uses in economics and warfare, the two fields I've been trained and educated in. There are also limitations. I've asked commercial versions of LLMs to provide novel testable hypotheses in economics — the lifeblood of economic analysis. The LLMs are good at naming data sources and, with enough prompts, can even construct the mathematical model to support a hypothesis. But none of the hypotheses were really any more than most middle school kids could have derived. The generative AI models are equally poor right now, delivering pictures of people with seven fingers or grilling burgers with lettuce, tomatoes and buns. They'll get better, of course, but what is AI likely to do to the demand for labor? I think the easy answer is that it will increase the demand for labor, in much the same way as the wheel, the steam loom, the automobile and the computer. That is, in a very nuanced way. Technology doesn't replace jobs; it replaces tasks. Almost always, the tasks replaced are the most mundane, routine and trainable ones. In so doing, the technology makes the uniquely human part of the job more valuable. The best long-form description of this comes in an accessible paper by David Autor who described Polanyi's Paradox, that 'we can know more (about our jobs) than we can tell.' The point of Polyani, which Autor fleshed out in superb contemporary detail, is that the unseen part of technology is how humans adapt it to complement their innate skills. Since the end of World War II, technology has replaced more than 80% of the work done by the average American. Throughout the longest and most impactful technology shock, the U.S. boosted wages, production and employment. AI may be different than any technology before it, but the adaptation was not technological — it was human. We humans are much as we've always been, and the economic incentive to match complementary human and technology skills remains robust. The most likely outcome of AI adoption will be positive, like all the other technology adoptions before it. But that doesn't mean there won't be challenges. The most dramatically unpleasant periods of technology adoption occurred in the places, and among the people, that could not adapt. James Whitcomb Riley's The Raggedy Man of 1888 described a type of itinerant worker that existed until at least the 1960s in U.S. agriculture. The Raggedy Man is gone now, because the skills he brought to a farm are no longer sufficient to earn him three meals and a simple room. Even then, one is tempted by this poem to conclude that he was employed for reasons beyond labor productivity. Technology eliminates the less skilled tasks a worker does, pushing them to more skilled — and more uniquely human — tasks. AI is likely to impact skills held by more educated workers than the robotics of the 1980s and later, or the digitization of the 2000s. AI will write simple research summaries, press releases and perform straightforward design work. This will lead to increased demand for more detailed and complex research summaries, more insightful press releases and more innovative designs than AI can produce. AI will also open demand for employment totally divorced from the direct complementarity to technology. As easily replicable human skills become inexpensive, the relative value of scarcer, purely human skills will rise. What does AI portend for education and regions? The one common thread of all previous technologies is that they complemented human-specific intellectual and social skills. So, job losses were clustered among those who were armed with skills that were more readily replaced. Thus, AI is likely to boost demand for workers with a lengthier, broader and more complex education. That education accesses more latent human skills. This used to be called a liberal education, but a better moniker is a classical education. Of course, such an education is not trendy today, in part because it is costly. It is much cheaper and faster to prepare for the last technological shock than the next one.
Yahoo
38 minutes ago
- Yahoo
Nvidia Is Quickly Approaching a New Record High. Is It Too Late to Buy NVDA Stock?
As the market remains vulnerable to a plethora of uncertainties, it seems that there is one constant: the dominance of chip giant Nvidia (NVDA) in the world of artificial intelligence (AI). The stock, which took a tumble due to China-related issues, primarily related to the emergence of DeepSeek and new tariffs under President Donald Trump, has made a strong comeback and is just about 5% off from its record highs. Touted as the 'Godfather of AI' by celebrated tech analyst Dan Ives, CEO Jensen Huang and his company are critical to not only the U.S.'s global prowess in chips, but are increasingly becoming key to diplomatic negotiations. 2 Outstanding Stocks Under $50 to Buy and Hold Now 3 ETFs with Dividend Yields of 12% or Higher for Your Income Portfolio Nvidia's Bringing Sovereign AI to Germany. Should You Buy NVDA Stock Here? Stop Missing Market Moves: Get the FREE Barchart Brief – your midday dose of stock movers, trending sectors, and actionable trade ideas, delivered right to your inbox. Sign Up Now! Have investors looking to add Nvidia to their portfolios missed the train, or is there still time to load up on the stock, which is up 8.3% on a YTD basis? Let's find out. Not even a decade ago, Nvidia was a niche company, mostly popular among gamers for its GPUs. Now, after 10 years its shares have soared more than 28,000%, driving the company to a valuation above $3.5 trillion. Nvidia is also closing in on new record highs as it is just 5% shy of the record $153.13 set early in January. The company that designs and sells advanced chips and software platforms — primarily for AI, data centers, gaming, and autonomous systems – counts tech majors such as Microsoft (MSFT), Amazon (AMZN), Google (GOOGL), Tesla (TSLA), Oracle (ORCL), ChatGPT maker OpenAI, and nearly every major AI and cloud company as its customer. From hyperscalers to sovereign AI, Nvidia is becoming more and more irreplaceable. Central to this are Nvidia's Blackwell chips. According to Huang's keynote at GTC 2025, 'The Blackwell architecture significantly enhances AI model training and inference, enabling more efficient and scalable AI applications. And the next evolution of the Nvidia Blackwell AI factory platform, Blackwell Ultra, will be coming to systems in the second half of this year.' Further bolstering its dominance in the GPU industry, where it already commands a near-monopoly with a-greater-than-90% market share, Nvidia has outlined a compelling product roadmap that is expected to reinforce its leadership position even more firmly. In addition to the Blackwell Ultra platform, the company is progressing toward launching next-generation GPU systems such as the Vera Rubin NVL144, which is anticipated in the second half of 2026, and the Rubin Ultra NVL576, scheduled for release a year later in late 2027. Nvidia's influence across the AI ecosystem remains unmatched, underpinned by both its relentless hardware innovation and a deeply intertwined software stack. Nvidia's dominant market position and constant endeavours to scale and innovate has not been at the expense of its financials. In fact, Nvidia's remarkable track record of outperforming market forecasts on both revenue and earnings remained intact in the most recent quarter, solidifying what may well be one of the most impressive streaks in recent corporate history. The company's fiscal first quarter of 2026 saw total revenue surge to $44.1 billion, reflecting a robust 69% year-over-year increase. Driving this performance was Nvidia's data center segment, which contributed a dominant $39.1 billion, representing annual growth of 73%. On the bottom line, the chipmaker once again exceeded Wall Street's expectations. Earnings per share came in at $0.81, outperforming the consensus projection of $0.75. Looking ahead, analysts are anticipating further momentum, with estimates placing next quarter's earnings per share at $0.94 on revenue of $45.59 billion. That said, not all metrics were flawless. The company's gross margin declined to 61%, down from 78.9% in the corresponding period last year — a notable compression. Still, Nvidia continues to command a dominant market share in the GPU segment, easing investor concerns about intensifying competition. Management also reiterated their full-year margin guidance, aiming for levels in the mid-70% range, underscoring confidence in the underlying business model. From a cash flow perspective, Nvidia demonstrated exceptional strength. Net cash provided by operating activities reached $27.4 billion, a year-over-year increase of 79.1%. The quarter ended with the company holding $53.7 billion in cash and equivalents, and notably, no short-term debt. This highlights the firm's formidable liquidity profile and positions it favorably for ongoing capital allocation, investment, and strategic flexibility. Overall, analysts are projecting Nvdia's forward revenue and earnings growth rates to be at 59.97% and 64.95%, much higher than the sector medians of 7.14% and 11.08%, respectively. As I highlighted in a previous article, the impact of new restrictions on H20 shipments to China was lower than expected in Q1. Moreover, the company is looking for ways to alleviate the export restriction concerns by developing a different Blackwell variant. Considering all of this, analysts have attributed a rating of 'Strong Buy' for NVDA stock, with a mean target price of $174.02. This indicates upside potential of about 20% from current levels. Out of 44 analysts covering the stock, 37 have a 'Strong Buy' rating, three have a 'Moderate Buy' rating, three have a 'Hold' rating, and one has a 'Strong Sell' rating. On the date of publication, Pathikrit Bose did not have (either directly or indirectly) positions in any of the securities mentioned in this article. All information and data in this article is solely for informational purposes. This article was originally published on Erreur lors de la récupération des données Connectez-vous pour accéder à votre portefeuille Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données Erreur lors de la récupération des données
Yahoo
39 minutes ago
- Yahoo
Meta (META) Ramps Up AI Talent War With New Hires From Safe Superintelligence
Meta Platforms (META, Financials) is set to bring on Daniel Gross, CEO of Safe Superintelligence, and former GitHub CEO Nat Friedman after a failed attempt to acquire the $32 billion AI startup founded by OpenAI co-founder Ilya Sutskever, according to sources cited by CNBC. Warning! GuruFocus has detected 5 Warning Sign with META. Meta will integrate Gross and Friedman into its AI unit under Alexandr Wang, whom Zuckerberg hired last week alongside a 49% stake in Wang's company, Scale AI. Meta will also take a stake in NFDG, the venture firm co-run by Gross and Friedman. Gross previously led machine learning efforts at Apple (AAPL, Financials) and co-founded Safe Superintelligence with Sutskever. Friedman served as GitHub's CEO following its acquisition by Microsoft (MSFT, Financials). Their firm NFDG has invested in companies such as Coinbase, CoreWeave and Perplexity, though CNBC said it's unclear what becomes of those holdings under Meta. Meta's efforts come as major players, including OpenAI, Google and Microsoft, vie to secure top AI engineers. OpenAI CEO Sam Altman recently claimed Meta offered signing bonuses up to $100 million to poach his staff offers that were declined. This article first appeared on GuruFocus.