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Beyond the CES hype: why home robots need the self-driving car playbook

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With CES 2026 upon us and some predicting that the first affordable home robot will set off a technological race to market this year, those walking the conference floor in Las Vegas this week can expect thrilling robot demos and big promises we’ve been hearing since the 1960s. The explosion of AI has thrown the humanoid home robot hype machine into full tilt, and to be fair, an AI home revolution is indeed underway. 

While we’ve embraced Roombas, smart thermostats, and AI-powered security systems like Ring doorbells for years, significant issues remain, such as data availability, privacy, and social acceptance, before we achieve Jetson-era assistants who will not only fold our laundry and help us care for our children and aging parents, but be trusted to do so.  

As our cars continue to gain more autonomy, it would seem the time is ripe for home robots. After all, if the AI, sensors, computing hardware, and other components required for autonomy have become powerful and safe enough for the road, why can’t they take on the home?

I’ve been around computers since receiving my Commodore 64 as a kid. Now, as an AI and robotics professor and a founder of an AI startup, I’m exploring how computer-based systems interact with our world. While we have come far, there are many technological hurdles the industry must overcome to deliver fully autonomous humanoid robots.

The Autonomy Myth

For all the hype and advances in AI programming, over 46 percent of companies fail to turn their exciting, demo-ready proofs of concepts into something usable in the real world—in part because systems lack the data and experience to complete their AI training. In the home robotics space, being an early adopter puts a large portion of that training onus on users (paying users in fact) while also bringing up larger issues of privacy and safety.

Like autonomous cars and systems on the road, home robots must function safely and efficiently 99.999% of the time because one mistake could lead to catastrophic results such as a stovetop burner being left on, a missed pill, or a fall in the shower. In addition to being trained on the massive amounts of data captured by cameras, sensors, and experiments in the real world, home robots must also be prepared to perceive, reason, and act in the face of unexpected scenarios. 

This ability to adapt to real-world and unexpected situations has been a thorn in the side of autonomous cars on the road (remember that they were supposed to be available in 2020).While synthetic data, simulations, and experience help fill these holes, teams like Waymo’s Fleet Response also keep humans in the loop to help the AI make decisions and act fast when faced with scenarios that confound or confuse them.

Robots coming into our private homes will run into far more unexpected scenarios that range from each building’s unique physical map to the culture—the so-called patterns of life—of those who live there. No matter how much training is done off-site, setting up and continuously training for our environments today means sending to the cloud rich personal data about everything from when we sit down to eat to how we resolve conflicts with and parent our children. 

Amidst the ongoing privacy issues surrounding door cameras and the backlash over social media giants exploiting user data to train their own models, today’s robots invite both passive and active observers into our homes and leave our data exposed to bad actors.

Take the automotive road to success by solving one problem at a time

Working to resolve this privacy issue is one of the exciting challenges before the industry today. Even as we strive to find solutions here, developers and early adopters anxious for home robots that can actually deliver today can take a lesson from the automotive industry’s success. 

Ten years ago, our cars had basic cruise control, and today, that early AI assistance has evolved into adaptive cruise control, lane following systems, and more. Autonomous cars are, in fact, several AI systems working in concert. 

While the auto industry has been peeling off problems and use cases, one by one, we have not woven this sort of progress into the home. Over two decades after Roombas first entered our homes, most of our smart devices—Alexa assistants, Ring doorbells, and AI chatbots—still don’t physically interact with or move through the world around us.

The right refrigerator might notify us when we’re low on milk and even create a grocery order for us to approve, but there’s still no robot to unpack the groceries, let alone do our ironing or hang up our clothes—two of the many promises featured way back in this 1960s BBC predictions video.

Going up? Social acceptance is essential in stepping up new technology

While many of us would love to hand off our housework and even, at times, our kids to a trusty robot, the industry needs to do more than make them safe and reliable while being respectful of social expectations around privacy. Innovators also have to convince us to trust them.

Today, we take passenger elevators for granted, but as the very first autonomous vehicle, they were radical when introduced in the 19th century. Humans could suddenly step into a box, perhaps hear gears grind, and then exit the box on a different floor—and even as safety features were innovated, that was terrifying. That’s why when this remarkable feat became as easy as the push of a button, human operators remained on board.

Elevator operators are now a sign of prestige, but in the early days of this technology, their presence was essential to building trust and acceptance to evolve the social norm.

Similarly, while it’s hard to avoid stories about AI backlash since ChatGPT exploded, the technology has quietly been assisting us for years via services like credit card fraud detection. Credit card companies implemented protective algorithms without advertising the fact, and avoided backlash from users by bringing the human back into the equation once transactions were flagged for review.

In the home, another human is not the answer, which brings us back to the most challenging piece of the puzzle. While the home robotics industry can find success by addressing smaller problems that require less data and compute, innovators must also solve the much larger problem of how to acquire and protect the data that will fuel, train, and inform our trusty helpers.

We may not have to wait 50 years to catch up to the Jetsons, but the path is certainly longer and more complex than the home robot demos you’ll see at CES suggest. When walking the halls this week, don’t ignore the less exciting but useful window washer, bartender, or snowblower. Be inspired by the promise of those walking robots, even as we focus on the challenges that lie ahead. 

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.



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Magnificent 7’s stock market dominance shows signs of cracking

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To beat the market in recent years, many investors applied a simple strategy: Load up on the biggest US technology stocks. 

It paid handsomely for a long time. But last year, it didn’t. For the first time since 2022, when the Federal Reserve started raising interest rates, the majority of the Magnificent 7 tech giants performed worse than the S&P 500 Index. While the Bloomberg Magnificent 7 Index rose 25% in 2025, compared with 16% for the S&P 500, that was only because of the enormous gains by Alphabet Inc. and Nvidia Corp.

Many Wall Street pros see that dynamic continuing in 2026, as profit growth slows and questions about payoffs from heavy artificial intelligence spending rise. So far they’ve been right, with the Magnificent 7 index up just 0.5% and the S&P 500 climbing 1.8% to start the year. Suddenly stock picking within the group is crucial. 

“This isn’t a one-size-fits-all market,” said Jack Janasiewicz, lead portfolio strategist at Natixis Investment Managers Solutions, which has $1.4 trillion in assets. “If you’re just buying the group, the losers could offset the winners.”

The three-year bull market has been led by the tech giants, with Nvidia, Alphabet, Microsoft Corp. and Apple Inc. alone accounting for more than a third of the S&P 500’s gains since the run began in October 2022. But enthusiasm for them is cooling as interest in the rest of the S&P 500 rises.

With Big Tech’s earnings growth slowing, investors are no longer content with promises of AI riches — they want to start seeing a return. Profits for the Magnificent 7 are expected to climb about 18% in 2026, the slowest pace since 2022 and not much better than the 13% rise projected for the other 493 companies in the S&P 500, according to data compiled by Bloomberg Intelligence.

“We’re already seeing a broadening of earnings growth and we think that’s going to continue,” said David Lefkowitz, head of US equities at UBS Global Wealth Management. “Tech is not the only game in town.”

One source of optimism is the group’s relatively subdued valuations. The Magnificent 7 index is priced at 29 times profits projected over the next 12 months, well below the 40s multiples earlier in the decade. The S&P 500 is trading at 22 times expected earnings, and the Nasdaq 100 Index is at 25 times. 

Here’s a look at expectations for the year ahead.

Nvidia

The dominant AI chipmaker is under pressure from rising competition and concerns about the sustainability of spending by its biggest customers. The stock is up 1,165% since the end of 2022, but it has lost 11% since its Oct. 29 record.

Rival Advanced Micro Devices Inc. has won data center orders from OpenAI and Oracle Corp., and Nvidia customers like Alphabet are increasingly deploying their own custom made processors. Still, its sales continue to race ahead as demand for chips outstrips supply. 

Wall Street is bullish, with 76 of the 82 analysts covering the chipmaker holding buy ratings. The average analyst price target implies a roughly 39% gain over the next 12 months, best among the group, according to data compiled by Bloomberg.

Microsoft

For Microsoft, 2025 was the second consecutive year it underperformed the S&P 500. One of the biggest AI spenders, it’s expected to invest nearly $100 billion in capital expenditures during its current fiscal year, which ends in June. That figure is projected to rise to $116 billion the following year, according to the average of analyst estimates.

The data center buildout is fueling a resurgence in revenue growth in Microsoft’s cloud-computing business, but the company hasn’t had as much success in getting customers to pay for the AI services infused into its software products. Investors want to start seeing returns on those investments, according to Brian Mulberry, client portfolio manager at Zacks Investment Management.

“What you’re seeing is some people looking for a little bit more quality management in terms of that cash flow management and a better idea on what profitability really looks like when it comes to AI,” Mulberry said.

Apple

Apple has been far less aggressive with its AI ambitions than the rest of the Magnificent 7. The stock was punished for it last year, falling almost 20% through the start of August. 

But then it caught on as an “anti-AI” play, soaring 34% through the end of the year as investors rewarded its lack of AI spending risk. At the same time, strong iPhone sales reassured investors that the company’s most important product remains in high demand. 

Accelerating growth will be the key for Apple shares this year. Its momentum has slowed recently, the stock closed higher on Friday, narrowly avoiding matching its longest losing streak since 1991. However, revenue is expected to expand 9% in fiscal 2026, which ends in September, the fastest pace since 2021. With the stock valued at 31 times estimated earnings, the second highest in the Magnificent 7 after Tesla, it will need the push to keep the rally going.

Alphabet

A year ago, OpenAI was seen as leading the AI race and investors feared Alphabet would get left behind. Today, Google’s parent is a consensus favorite, with dominant positions across the AI landscape. 

Alphabet’s latest Gemini AI model received rave reviews, easing concerns about OpenAI. And its tensor processing unit chips are considered a potential significant driver of future revenue growth, which could eat into Nvidia’s commanding share of the AI semiconductor market. 

The stock rose more than 65% last year, the best performance in the Magnificent 7. But how much more can it run? The company is approaching $4 trillion in market value, and the shares trade at around 28 times estimated earnings, well above their five-year average of 20. The average analyst price target projects just a 3.9% gain this year. 

Amazon.com

The e-commerce and cloud-computing giant was the weakest Magnificent 7 stock in 2025, its seventh straight year in that position. But Amazon has charged out of the gate in early 2026 and is leading the pack.

Much of the optimism surrounding the company is based on Amazon Web Services, which posted its fastest growth in years in the company’s most recent results. Concerns that AWS was falling behind its rivals has pressured the stock, as has the company’s aggressive AI spending, which includes efforts to improve efficiency at its warehouses, in part by using robotics. Investors expect the efficiency push to start paying off before long, which could make this the year the stock goes from laggard to leader. 

“Automation in warehouses and more efficient shipping will be huge,” said Clayton Allison, portfolio manager at Prime Capital Financial, which owns Amazon shares. “It hasn’t gotten the love yet, but it reminds me of Alphabet last year, which was sort of left behind amid all the concerns about competition from OpenAI, then really took off.”

Meta Platforms

Perhaps no stock in the group shows how investors have turned skeptical about lavish AI spending more than Meta. Chief Executive Officer Mark Zuckerberg has pushed expensive acquisitions and talent hires in pursuit of his AI ambitions, including a $14 billion investment in Scale AI in which Meta also hired the startup’s CEO Alexandr Wang to be its chief AI officer.

That strategy was fine with shareholders — until it wasn’t. The stock tumbled in late October after Meta raised its 2025 capital expenditures forecast to $72 billion and projected “notably larger”spending in 2026. When the shares hit a record in August they were up 35% for the year, but they’ve since dropped 17%. Demonstrating how that spending is boosting profits will be critical for Meta in 2026.

Tesla

Tesla’s shares were the worst performers in the Magnificent 7 through the first half of 2025, but then soared more than 40% in the second half as Chief Executive Officer Elon Musk shifted focus from slumping electric vehicle sales to self-driving cars and robotics. The rally has Tesla’s valuation at almost 200 times estimated profits, making it the second most expensive stock in the S&P 500 behind takeover target Warner Bros. Discover Inc.

After two years of stagnant revenue, Tesla is expected to start growing again in 2026. Revenue is projected to rise 12% this year and 18% next year, following an estimated 3% contraction in 2025, according to data compiled by Bloomberg.

Still, Wall Street is pessimistic about Tesla shares this year. The average analyst price target projects a 9.1% decline over the next 12 months, data compiled by Bloomberg show. 



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Reference to Trump’s impeachments is removed from Smithsonian portrait display

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President Donald Trump’s photo portrait display at the Smithsonian’s National Portrait Gallery has had references to his two impeachments removed, the latest apparent change at the collection of museums he has accused of bias as he asserts his influence over how official presentations document U.S. history.

The wall text, which summarized Trump’s first presidency and noted his 2024 comeback victory, was part of the museum’s “American Presidents” exhibition. The description had been placed alongside a photograph of Trump taken during his first term. Now, a different photo appears without any accompanying text block, though the text was available online. Trump was the only president whose display in the gallery, as seen Sunday, did not include any extended text.

The White House did not say whether it sought any changes. Nor did a Smithsonian statement in response to Associated Press questions. But Trump ordered in August that Smithsonian officials review all exhibits before the nation celebrates the 250th anniversary of the Declaration of Independence on July 4. The Republican administration said the effort would “ensure alignment with the president’s directive to celebrate American exceptionalism, remove divisive or partisan narratives, and restore confidence in our shared cultural institutions.”

Trump’s original “portrait label,” as the Smithsonian calls it, notes Trump’s Supreme Court nominations and his administration’s development of COVID-19 vaccines. That section concludes: “Impeached twice, on charges of abuse of power and incitement of insurrection after supporters attacked the U.S. Capitol on January 6, 2021, he was acquitted by the Senate in both trials.”

Then the text continues: “After losing to Joe Biden in 2020, Trump mounted a historic comeback in the 2024 election. He is the only president aside from Grover Cleveland (1837– 1908) to have won a nonconsecutive second term.”

Asked about the display, White House spokesman Davis Ingle celebrated the new photograph, which shows Trump, brow furrowed, leaning over his Oval Office desk. Ingle said it ensures Trump’s “unmatched aura … will be felt throughout the halls of the National Portrait Gallery.”

The portrait was taken by White House photographer Daniel Torok, who is credited in the display that includes medallions noting Trump is the 45th and 47th president. Similar numerical medallions appear alongside other presidents’ painted portraits that also include the more extended biographical summaries such as what had been part of Trump’s display.

Sitting presidents are represented by photographs until their official paintings are commissioned and completed.

Ingle did not answer questions about whether Trump or a White House aide, on his behalf, asked for anything related to the portrait label.

The gallery said in a statement that it had previously rotated two photographs of Trump from its collection before putting up Torok’s work.

“The museum is beginning its planned update of the America’s Presidents gallery which will undergo a larger refresh this Spring,” the gallery statement said. “For some new exhibitions and displays, the museum has been exploring quotes or tombstone labels, which provide only general information, such as the artist’s name.”

For now, references to Presidents Andrew Johnson and Bill Clinton being impeached in 1868 and 1998, respectively, remain as part of their portrait labels, as does President Richard Nixon’s 1974 resignation as a result of the Watergate scandal.

And, the gallery statement noted, “The history of Presidential impeachments continues to be represented in our museums, including the National Museum of American History.”

Trump has made clear his intentions to shape how the federal government documents U.S. history and culture. He has offered an especially harsh assessment of how the Smithsonian and other museums have featured chattel slavery as a seminal variable in the nation’s development but also taken steps to reshape how he and his contemporary rivals are depicted.

In the months before his order for a Smithsonian review, he fired the head archivist of the National Archives and said he was firing the National Portrait Gallery’s director, Kim Sajet, as part of his overhaul. Sajet maintained the backing of the Smithsonian’s governing board, but she ultimately resigned.

At the White House, Trump has designed a notably partisan and subjective “Presidential Walk of Fame” featuring gilded photographs of himself and his predecessors — with the exception of Biden, who is represented by an autopen — along with plaques describing their presidencies.

The White House said at the time that Trump himself was a primary author of the plaques. Notably, Trump’s two plaques praise the 45th and 47th president as a historically successful figure while those under Biden’s autopen stand-in describe the 46th executive as “by far, the worst President in American History” who “brought our Nation to the brink of destruction.”



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Powell says DOJ criminal probe is attack on Fed’s independence to set rates

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Federal Reserve Chairman Jerome Powell called out the Trump administration for attacking the central bank’s independence, saying a criminal probe is due to the Fed’s refusal to lower rates earlier this year as President Donald Trump demanded.

He said in a statement Sunday that the Justice Department of served the Fed with grand jury subpoenas, threatening a criminal indictment over his testimony before the Senate last June related to renovations on the headquarters, which has seen cost overruns.

Powell, who is typically cautious in his public remarks, was clear that the probe was political in nature and had nothing to do with the Fed renovations or his testimony, calling them “pretexts.”

“The threat of criminal charges is a consequence of the Federal Reserve setting interest rates based on our best assessment of what will serve the public, rather than following the preferences of the President,” he wrote.

“This is about whether the Fed will be able to continue to set interest rates based on evidence and economic conditions—or whether instead monetary policy will be directed by political pressure or intimidation.”

Powell added that he has served under Republican and Democratic presidents “without political fear or favor,” while focusing on the Fed’s dual mandate of price stability and maximum employment.

“Public service sometimes requires standing firm in the face of threats,” he said. “I will continue to do the job the Senate confirmed me to do, with integrity and a commitment to serving the American people.”

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