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Alongside new iPhones and Apple Watches, Apple is releasing a new version of its AirPods Pro this month.

The 2nd Generation AirPods Pro with USB-C — a mouthful of a model name — don’t have any radical hardware changes. Apple replaced the proprietary Lightning port with a USB-C charger to match the rest of its lineup.

But a slew of software features launching alongside the new AirPods significantly change how noise-canceling on the wireless buds works in practice, and will make it much easier for AirPods Pro users to leave their earbuds in all day while navigating cities or talking to co-workers.

Apple has given the new features various names — Adaptive Audio, Conversation Awareness, Personalized Volume — but taken together, and using the default settings on a review unit of the new $249 AirPods, the upshot is that the device uses machine learning and artificial intelligence to turn down music when in a conversation or allow necessary nearby sounds into the headphones.

Instead of taking out your AirPods or turning off noise-canceling entirely when you’re navigating a treacherous street or having a conversation with a co-worker, users can now leave in their AirPods and rely on Apple’s software to intelligently decide what the user needs to hear.

Overall, the improvements are subtle but nice. They’re not a reason to upgrade AirPods if you have an older pair that’s working perfectly, but they are worth reaching for if you are getting new wireless headphones and know you don’t like to be constantly taking them in and out.

However, from a technological perspective, the new AirPods are exciting. Apple is using cutting-edge technology and its own customized chips to filter the world of sound through Apple’s hardware, and to augment or mute individual sounds to make your daily experience better, all powered by AI. Apple’s headphones are going far beyond the simple on-or-off noise-canceling features on competing devices.

The concept is not that far away from the “spatial computing” Apple introduced with the Vision Pro VR headset, which uses machine learning to integrate the real and computer worlds. Apple calls the AirPods a “wearable,” and reports it in the same revenue category as its Apple Watch. With its new adaptive features, the AirPods are more wearable than ever, and continue to be one of the company’s most intriguing product lines in terms of a look at the future of computing, even if they don’t get the same attention as the iPhone.

How it worked

While the adaptive technology isn’t quite seamless yet, it is a nice improvement over the blunter, muffling noise-cancellation setting that used to be the default on AirPods Pro. And it’s not only limited to the latest hardware — anyone with “second generation” AirPods Pro introduced last September can download software updates for their headphones and iPhone to enable them.

The new Adaptive mode ultimately blends chaotic street noise with the artificial quiet of active noise cancellation. Apple frames Adaptive Audio as a safety feature, so users don’t miss honks or disturbances when walking around cities. It’s subtle. You definitely feel like you’re still in a cocoon of quiet, but you don’t feel as if the whole world is muffled around you.

There’s a little chime when users turn it on, either through the Settings app when the earbuds are connected or through a shortcut by long-pressing the iPhone’s volume button in the Control Center.

Screenshot/CNBC

In practice, Adaptive Audio wasn’t perfect, but it’s an improvement over active noise canceling, which can be very isolating, and Apple’s transparency mode, which often amplifies extraneous noise (like the AirPods case clicking against car keys in my pocket). If I were to walk around cities, which I try to avoid for safety reasons, I would use Apple’s Adaptive mode.

But Bay Area BART station announcements made over a central speaker were still muffled, especially when I was listening to music, and that’s the sort of information I would like to hear. I still needed to turn off the headphones or take them out if I wanted to understand what they were saying, such as which train was coming into the station.

When walking in a dog park separated from a highway by a sound wall, Adaptive Audio let in more highway noise than active-cancellation mode, which wasn’t optimal. Later, when another person in the park was arguing about something and making a scene, I didn’t catch it by hearing it in Adaptive mode — I saw the dispute first. While many people use noise-canceling headphones to zone out those kind of disturbances, from a safety perspective, that’s something urban dwellers should be aware of in their vicinity.

Another key scenario for noise-canceling headphones is in the workplace, where workers who are headed back to the office are increasingly using them to try to simulate home office-like privacy or signal to co-workers they can’t talk.

It’s here where the Conversation Awareness feature will shine, allowing office grinders to hold quick conversations without taking out their AirPods. The feature effectively turns down your music or audio when it senses you’re taking part in a conversation. Instead of fumbling in settings to turn noise-canceling off or turn off the music, or taking the earbuds out of your ears, the software does it for you, and even amplifies the conversation a little bit.

When it works, it’s great. I had a couple conversations with my wife with the AirPods in and Conversation Awareness on. We spoke as if I didn’t have $250 of technology in my ears, and when I went back to doing what I was doing before, the volume of my music automatically went back to normal levels.

But there’s one big catch to Conversation Awareness — it doesn’t engage when someone talks to you, it only starts when you open your mouth and say something. So I found myself missing the first thing that was said in several conversations, such as when a neighbor greeted me, or what the cashier said when I approached my favorite taco truck.

At the taco truck, I found myself regretting not taking out the AirPods. I did feel like I missed a little bit of context in the short exchange, and felt rude for keeping in my headphones. I heard and understood the key bits, such as the total price, but I did not feel it was the same real-time conversation as if I was just speaking without headphones.

Also, Conversation Awareness did not turn down my music five minutes later when the cashier called out my order for pickup. Ultimately, my order was wrong too, probably because I was distracted. But it’s easy to see how people will use the feature to order a cold brew without pausing their music.

There are other little quirks, too. I like to sing along to music when I’m alone. With Conversation Awareness on, the music gets turned down, leaving you to hear your own flat singing. Once, when I was working at my computer, I laughed, and the AirPods algorithm thought I was trying to speak. I also never realized how much I mutter to myself when I’m writing.

Personalized Volume uses machine learning to adjust the overall audio level, taking into account your historical preferences — for me, louder than is healthy — and the exterior noise. I only noticed it once, when it turned down the volume after I had jacked it up.

Taking all this into account, the new AirPods features might not be a reason to rush out and get the latest model, but they clearly show that Apple’s headphones are evolving to become something more sophisticated than small speakers.

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Amazon deploys its 1 millionth robot in a sign of more job automation

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Amazon deploys its 1 millionth robot in a sign of more job automation

An Amazon logistics center in Mecklenburg-Western Pomerania, Dummerstorf, Germany, on Nov. 27, 2024.

Picture Alliance | Picture Alliance | Getty Images

Amazon announced Monday its millionth worker robot, and said its entire fleet will be powered by a newly launched generative artificial intelligence model. The move comes at a time when more tech companies are cutting jobs and warning of automation.

The million robot milestone — which joins Amazon’s global network of more than 300 facilities — strengthens the company’s position as the world’s largest manufacturer and operator of mobile robotics, Scott Dresser, vice president of Amazon Robotics, said in a press release

Meanwhile, Dresser said that its new “DeepFleet” AI model will coordinate the movement of its robots within its fulfillment centers, reducing the travel time of the fleet by 10% and enabling faster and more cost-effective package deliveries.

Amazon began deploying robots in its facilities in 2012 to move inventory shelves across warehouse floors, according to Dresser. Since then, their roles in factories have grown tremendously, ranging from those able to lift up to 1,250 pounds of inventory to fully autonomous robots that navigate factories with carts of customer orders.

Meanwhile, AI-powered humanoid robots — designed to mimic human movement and shape — could be deployed this year at factories owned by Tesla.

Job security fears

But although advancements in AI robotics like those working in Amazon facilities come with the promise of productivity gains, they have also raised concerns about mass job loss.

A Pew Research survey published in March found that both AI experts and the general public see factory workers as one of the groups most at risk of losing their jobs because of AI.

That’s a concern Dresser appeared to attempt to address in his statements. 

“These robots work alongside our employees, handling heavy lifting and repetitive tasks while creating new opportunities for our front-line operators to develop technical skills,” Dresser said. He added that Amazon’s “next-generation fulfillment center” in Shreveport, Louisiana, which was launched late last year, required 30% more employees in reliability, maintenance and engineering roles. 

However, the news of Amazon’s robot expansion came soon after CEO Andy Jassy told CNBC that Amazon’s rapid rollout of generative AI will result in “fewer people doing some of the jobs that the technology actually starts to automate.”

Jassy said that even as AI eliminates jobs in certain areas, Amazon will continue to hire more employees in AI, robotics and elsewhere. But in a memo to employees earlier in June, the CEO had admitted that he expects the company’s workforce to shrink in the coming years in light of technological advancements. 

The decline may have already begun. CNBC reported that Amazon cut more than 27,000 jobs in 2022 and 2023, and had continued to make more targeted cuts across business units. 

Other big tech CEOs such as Shopify’s CEO Tobi Lutke also recently warned of the impact that AI will have on staffing. That comes as a vast array of firms investing in and adopting AI execute rounds of layoffs. 

According to Layoffs.fyi, which tracks technology industry layoffs, 551 companies laid off roughly 153,000 employees last year. And a World Economic Forum report in February found that 48% of U.S. employers plan to reduce their workforce due to AI.

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Chipmakers get larger tax credits in Trump’s latest ‘big beautiful bill’

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Chipmakers get larger tax credits in Trump’s latest ‘big beautiful bill’

U.S. President Donald Trump (right) and C.C. Wei, chief executive officer of Taiwan Semiconductor Manufacturing Co. (left), shake hands during an announcement of an additional $100 billion into TSMC’s U.S. manufacturing at the White House in Washington, DC, U.S., on March 3, 2025.

Bloomberg | Bloomberg | Getty Images

The latest version of U.S. President Donald Trump’s “big beautiful bill” could make it cheaper for semiconductor manufacturers to build plants in the U.S. as Washington continues its efforts to strengthen its domestic chip supply chain.

Under the bill, passed by the Senate Tuesday, tax credits for those semiconductor firms would rise to 35% from 25%. That’s more than the 30% increase that had made it into a draft version of the bill. 

Companies eligible for the credits could include chipmakers such as Intel, Taiwan Semiconductor Manufacturing Company and Micron Technology, provided that they expand their advanced manufacturing in the U.S. ahead of a 2026 deadline

The new provisions expand on tax incentives under the 2022 CHIPS and Science Act, which provided grants of $39 billion and loans of $75 billion for U.S.-based semiconductor manufacturing projects. 

But before the expanded credits come into play, Trump’s sweeping domestic policy package will have to be passed again in the House, which narrowly passed its own version last month. The president has urged lawmakers to get the bill passed by July 4.

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Trump has previously stated that tariffs, as opposed to the CHIPS Act grants, would be the best method of onshoring semiconductor production. The Trump administration is currently conducting an investigation into imports of semiconductor technology, which could result in new duties on the industry.

In recent months, a number of chipmakers with projects in the U.S. have ramped up planned investments there. That includes the world’s largest contract chipmaker, TSMC, as well as American chip companies such as Nvidia, Micron and GlobalFoundries.  

According to Daniel Newman, CEO at tech advisory firm Futurum Group, the threat of Trump’s tariffs has created more urgency for semiconductor companies to expand U.S. capacity. If the increased investment tax credits come into law, those onshoring efforts are only expected to accelerate, he told CNBC. 

“Given the risk of tariffs, increasing manufacturing in the U.S. remains a key consideration for these large semiconductor companies,” Newman said, adding that the tax credits could be seen as an opportunity to offset certain costs related to U.S.-based projects.

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Tesla shares drop on Musk, Trump feud ahead of Q2 deliveries

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Tesla shares drop on Musk, Trump feud ahead of Q2 deliveries

Elon Musk, chief executive officer of Tesla Inc., during a meeting between US President Donald Trump and Cyril Ramaphosa, South Africa’s president, not pictured, in the Oval Office of the White House in Washington, DC, US, on Wednesday, May 21, 2025.

Jim Lo Scalzo | Bloomberg | Getty Images

Tesla shares have dropped 7% from Friday’s closing price of $323.63 to the $300.71 close on Tuesday ahead of the company’s second-quarter deliveries report.

Wall Street analysts are expecting Tesla to report deliveries of around 387,000 — a 13% decline compared to deliveries of nearly 444,000 a year ago, according to a consensus compiled by FactSet. Prediction market Kalshi told CNBC on Tuesday that its traders forecast deliveries of around 364,000.

Shares in the electric vehicle maker had been rising after Tesla started a limited robotaxi service in Austin, Texas, in late June and CEO Elon Musk boasted of its first “driverless delivery” of a car to a customer there.

The stock price took a turn after Musk on Saturday reignited a feud with President Donald Trump over the One Big Beautiful Bill Act, the massive spending bill that the commander-in-chief endorsed. The bill is now heading for a final vote in the House.

That legislation would benefit higher-income households in the U.S. while slashing spending on programs such as Medicaid and food assistance.

Musk did not object to cuts to those specific programs. However, Musk on X said the bill would worsen the U.S. deficit and raise the debt ceiling. The bill includes tax cuts that would add around $3 trillion to the national debt over the next decade, according to an analysis by the Congressional Budget Office.

The Tesla CEO has also criticized aspects of the bill that would cut hundreds of billions of dollars in support for renewable energy development in the U.S. and phase out tax credits for electric vehicles.

Such changes could hurt Tesla as they are expected to lower EV sales by roughly 100,000 vehicles per year by 2035, according to think tank Energy Innovation.

The bill is also expected to reduce renewable energy development by more than 350 cumulative gigawatts in that same time period, according to Energy Innovation. That could pressure Tesla’s Energy division, which sells solar and battery energy storage systems to utilities and other clean energy project developers.

Trump told reporters at the White House on Tuesday that Musk was, “upset that he’s losing his EV mandate,” but that the tech CEO could “lose a lot more than that.” Trump was alluding to the subsidies, incentives and contracts that Musk’s many businesses have relied on.

SpaceX has received over $22 billion from work with the federal government since 2008, according to FedScout, which does federal spending and government contract research. That includes contracts from NASA, the U.S. Air Force and Space Force, among others.

Tesla has reported $11.8 billion in sales of “automotive regulatory credits,” or environmental credits, since 2015, according to an evaluation of the EV maker’s financial filings by Geoff Orazem, CEO of FedScout.

These incentives are largely derived from federal and state regulations in the U.S. that require automakers to sell some number of low-emission vehicles or buy credits from companies like Tesla, which often have an excess.

Regulatory credit sales go straight to Tesla’s bottom line. Credit revenue amounted to approximately 60% of Tesla’s net income in the second quarter of 2024.

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Threats to SpaceX & Tesla as Musk, Trump feud heats up

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