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Elon Musk’s New Political Party Sparks MAGA Backlash Online

Elon Musk’s New Political Party Sparks MAGA Backlash Online

The suspense is finally over. Elon Musk, the visionary behind Tesla and SpaceX, officially declared the formation of a new political party on Saturday, July 5, 2025. His stated aim: to challenge the long-standing dominance of both the Republican and Democratic parties.

“Today, the America Party is formed to give you back your freedom,” the controversial tech entrepreneur announced on X (formerly Twitter) at 3:46 PM ET.

The creation of the “America Party” is nothing short of a bombshell, particularly given Musk’s significant financial contributions and political alignment with Donald Trump in the lead-up to the 2024 presidential election. Last year alone, Musk spent nearly $290 billion to support Trump’s return to the White House. This timely alliance granted the self-described “Techno King” an unprecedented level of influence for a tech entrepreneur in American politics. Trump, in turn, entrusted Musk with a custom-created federal department: the now infamous Department of Government Efficiency, or DOGE.

DOGE, however, quickly became a lightning rod for criticism, seen by many as emblematic of the very dysfunctions it was meant to fix within the federal government. Its methods and decisions, including the closure of federal agencies and drastic cost cutting at essential institutions, provoked widespread rejection of the billionaire.

This backlash manifested in protests outside Tesla showrooms, a drop in the electric vehicle maker’s stock price, and a noticeable plunge in profits and sales. Tesla’s sales erosion continued into the second quarter of 2025, during which the carmaker’s global deliveries fell by 13.5%. Tesla’s reputation, and that of Musk, suffered significantly, especially as the carmaker’s customer base heavily includes progressives and liberals who viewed his political alignment as a sharp departure from their values. Under increasing pressure from the markets, Musk formally withdrew from his government role at the end of May.

His public fallout with Trump began almost immediately after his departure, marked by a public spat between the two powerful figures on June 5. After a few weeks of relative calm, Musk reignited the feud by sharply criticizing the “One Big Beautiful Bill,” President Trump’s signature piece of legislation. He then publicly vowed to launch a political party and do everything he could to defeat Republican elected officials who voted for it.

As promised, on June 30, Musk formalized the political party he had previously hinted at, following the bill’s signing into law. The initial post announcing the party’s formation generated more than 3 million views in less than an hour, signaling the immediate and widespread attention it commanded.

Reactions on X, Musk’s social network, were acutely mixed. Users who visibly supported the MAGA movement and the Grand Old Party (GOP) expressed palpable disappointment and anger. Many lamented that the billionaire’s decision would, at best, fracture the conservative vote and, at worst, pave the way for Democratic victories in upcoming elections, particularly the crucial 2026 midterms.

“Why not just try and take over the GOP with more America First candidates?” asked one user, clearly disheartened by the billionaire’s move.

Roger Stone, a long time ally of President Trump, weighed in, commenting, “I have huge respect for @elonmusk and everything he has done for free speech and to ferret out waste fraud and corruption in federal spending. But I would rather see him pursue his efforts at electoral reform within the Republican Party primaries rather than having a new party splitting the vote of sane people and letting the Marxist Democrats gain control again.”

Another disappointed user questioned the legitimacy of the decision: “So a little over a million people across the entire world take your poll and you’re convinced this is what Americans want? And you do understand Democrats (who now despise you) would vote yes, knowing that you’ll end up splitting the Republican party. Don’t do this.”

“@elonmusk you need to rethink this one,” one user pleaded. “All you can hope to accomplish is to hand power over to democrats for decades with a successful 3rd party.”

An angry user directly challenged Musk’s character: “Has anyone thought about the fact that Elon Musk turned his back on someone he called a friend because things weren’t going his way? This is the kind of person you want to get behind?”

“This will fracture the right and split the vote. I’m against this, and so should you,” another user declared.

“I hope you know what you’re doing, Elon, because if you don’t, you’re about to hand over the Democrats to Congress, and then we’ll be completely out of options,” another user cautioned.

Conversely, other users, many of them avid fans of the billionaire, seemed amused by the announcement, which did not appear to surprise them. “You do throw a decent party 🎉😂,” joked Jason Calacanis, a well known tech investor and friend of Musk.

“Good split the GOP vote,” rejoiced another user, while another enthusiastically proclaimed, “Rest in Peace to the Republican Party!”

Prominent political scientist Ian Bremmer commented simply, “The people have spoken.” Another user expressed confidence in Musk’s judgment: “Your instincts have a good track record. I hope they are correct once again.”

Musk remains convinced that neither the Republicans, who currently control the government, nor the Democratic opposition adequately represent a significant portion of Americans. He appears confident that the political environment is favorable for a new movement. Data from a 2024 Gallup study suggests broad dissatisfaction with the two major parties: 43% of Americans identified as independents, while only 28% identified as Republican and 28% as Democrat.

With a net worth estimated at $361 billion by the Bloomberg Billionaire Index as of July 4, Musk certainly possesses the financial capacity to pursue his ambitious political endeavor.



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#Elon #Musks #Political #Party #Sparks #MAGA #Backlash #Online

Most Americans don’t trust AI. It’s proven that it doesn’t know what safe toppings for pizza are. People don’t even want to listen to AI music. But none of that matters for some of America’s wealthy, who are turning to AI to teach their kids instead of traditional schools.

Companies like Forge Prep and Alpha School are charging families tens of thousands of dollars to turn their kids into beta testers for AI tutors and “interactive project-based workshops.” Unsurprisingly, Silicon Valley have been major adopters of this new model. Shaun Johnson, a San Francisco-based venture capitalist, told The Wall Street Journal that he plans to send his son to a $75,000 year Alpha Kindergarten. He said, “We recognize that education is likely broken the way it is and there’s going to be entrepreneurs that try to fix it… You want someone to be able to think on their feet and navigate the world, not necessarily a recitation of facts in a particular discipline.”

Ignoring Johnson’s fundamental lack of understanding about modern pedagogy, it’s unclear how notoriously sycophantic AI will train children to “think on their feet and navigate the world.” It’s also concerning that Alpha School cofounder MacKenzie Price has said she plans to keep “hot-button social issues” out of the classroom. Which, in the current political climate, could cover women’s rights, America’s history of slavery, and our immigrant past. That might not seem like a major issue when you’re talking about kindergarten, but in some locations, Alpha School goes through high school.

Companies like Forge also don’t share performance metrics, so there’s no evidence that these AI-guided private schools are improving educational outcomes.

#nations #rich #letting #teach #kidsAI,News,Policy">Some of the nation’s rich are letting AI teach their kidsMost Americans don’t trust AI. It’s proven that it doesn’t know what safe toppings for pizza are. People don’t even want to listen to AI music. But none of that matters for some of America’s wealthy, who are turning to AI to teach their kids instead of traditional schools.Companies like Forge Prep and Alpha School are charging families tens of thousands of dollars to turn their kids into beta testers for AI tutors and “interactive project-based workshops.” Unsurprisingly, Silicon Valley have been major adopters of this new model. Shaun Johnson, a San Francisco-based venture capitalist, told The Wall Street Journal that he plans to send his son to a ,000 year Alpha Kindergarten. He said, “We recognize that education is likely broken the way it is and there’s going to be entrepreneurs that try to fix it… You want someone to be able to think on their feet and navigate the world, not necessarily a recitation of facts in a particular discipline.”Ignoring Johnson’s fundamental lack of understanding about modern pedagogy, it’s unclear how notoriously sycophantic AI will train children to “think on their feet and navigate the world.” It’s also concerning that Alpha School cofounder MacKenzie Price has said she plans to keep “hot-button social issues” out of the classroom. Which, in the current political climate, could cover women’s rights, America’s history of slavery, and our immigrant past. That might not seem like a major issue when you’re talking about kindergarten, but in some locations, Alpha School goes through high school.Companies like Forge also don’t share performance metrics, so there’s no evidence that these AI-guided private schools are improving educational outcomes.#nations #rich #letting #teach #kidsAI,News,Policy

don’t trust AI. It’s proven that it doesn’t know what safe toppings for pizza are. People don’t even want to listen to AI music. But none of that matters for some of America’s wealthy, who are turning to AI to teach their kids instead of traditional schools.

Companies like Forge Prep and Alpha School are charging families tens of thousands of dollars to turn their kids into beta testers for AI tutors and “interactive project-based workshops.” Unsurprisingly, Silicon Valley have been major adopters of this new model. Shaun Johnson, a San Francisco-based venture capitalist, told The Wall Street Journal that he plans to send his son to a $75,000 year Alpha Kindergarten. He said, “We recognize that education is likely broken the way it is and there’s going to be entrepreneurs that try to fix it… You want someone to be able to think on their feet and navigate the world, not necessarily a recitation of facts in a particular discipline.”

Ignoring Johnson’s fundamental lack of understanding about modern pedagogy, it’s unclear how notoriously sycophantic AI will train children to “think on their feet and navigate the world.” It’s also concerning that Alpha School cofounder MacKenzie Price has said she plans to keep “hot-button social issues” out of the classroom. Which, in the current political climate, could cover women’s rights, America’s history of slavery, and our immigrant past. That might not seem like a major issue when you’re talking about kindergarten, but in some locations, Alpha School goes through high school.

Companies like Forge also don’t share performance metrics, so there’s no evidence that these AI-guided private schools are improving educational outcomes.

#nations #rich #letting #teach #kidsAI,News,Policy">Some of the nation’s rich are letting AI teach their kids

Most Americans don’t trust AI. It’s proven that it doesn’t know what safe toppings for pizza are. People don’t even want to listen to AI music. But none of that matters for some of America’s wealthy, who are turning to AI to teach their kids instead of traditional schools.

Companies like Forge Prep and Alpha School are charging families tens of thousands of dollars to turn their kids into beta testers for AI tutors and “interactive project-based workshops.” Unsurprisingly, Silicon Valley have been major adopters of this new model. Shaun Johnson, a San Francisco-based venture capitalist, told The Wall Street Journal that he plans to send his son to a $75,000 year Alpha Kindergarten. He said, “We recognize that education is likely broken the way it is and there’s going to be entrepreneurs that try to fix it… You want someone to be able to think on their feet and navigate the world, not necessarily a recitation of facts in a particular discipline.”

Ignoring Johnson’s fundamental lack of understanding about modern pedagogy, it’s unclear how notoriously sycophantic AI will train children to “think on their feet and navigate the world.” It’s also concerning that Alpha School cofounder MacKenzie Price has said she plans to keep “hot-button social issues” out of the classroom. Which, in the current political climate, could cover women’s rights, America’s history of slavery, and our immigrant past. That might not seem like a major issue when you’re talking about kindergarten, but in some locations, Alpha School goes through high school.

Companies like Forge also don’t share performance metrics, so there’s no evidence that these AI-guided private schools are improving educational outcomes.

#nations #rich #letting #teach #kidsAI,News,Policy
The humanoid robotics market is awash in money right now. Last week, AI2 Robotics, a Shenzhen-based startup that makes wheeled humanoid robots, raised roughly $735 million at a nearly $3 billion valuation. Earlier this year, Apptronik, an Austin-based maker of humanoid robots for manufacturing and logistics, closed a $935 million funding round valuing the company at more than $5.5 billion. Last fall, Figure AI, a San Jose-based startup developing general-purpose humanoid robots, self-reported that it closed on $1 billion in Series C funding at an eye-popping $39 billion valuation.

By comparison, Peggy Johnson, CEO of Agility Robotics, is surprisingly measured. We spoke by phone last week, just after the company announced plans to go public through a merger with Michael Klein’s Churchill Capital Corp XI, a special purpose acquisition company, or SPAC. The deal values Agility at around $2.5 billion and is expected to raise more than $620 million in gross proceeds, the largest capital raise in humanoid robotics history. It hasn’t closed yet; the merger still needs shareholder approval and SEC review, and is expected to be completed later this year.

Agility was founded in 2015 as a spinoff from Oregon State University. Based in Salem, Oregon, the company makes bipedal humanoid robots designed to work in warehouses and factories. Its SPAC maneuver is notable for a few reasons. It would make Agility the first pure-play humanoid robotics company to trade on public markets, giving retail investors direct exposure to a sector that has so far been available primarily to deep-pocketed VC funds. It also offers a rare window into the finances of a business in a space where most competitors closely guard their numbers and even the state of the tech they are building.

Johnson — formerly executive vice president of business development at Microsoft, where she helped engineer the $26 billion acquisition of LinkedIn, and later CEO of Magic Leap, the once-hyped augmented reality headset maker — was careful throughout our conversation. She declined to offer forward-looking financial guidance, declined to disclose the bill of materials for Agility’s flagship robot Digit, and pushed back politely whenever questions veered toward speculation.

Asked why Agility is going public via a SPAC rather than raising another private round — a structure that skips the roadshow and pricing scrutiny of a traditional IPO — Johnson said much of it boils down to the first-mover advantage the company enjoys when it’s the first of its ilk to go public. For investors clamoring for shares in a buzzy robotics company, Agility is “an acceleration story and a timing story,” she said. The proceeds will also help Agility ramp up production at its 70,000-square-foot manufacturing facility in Salem, Oregon, and fulfill an existing pipeline of customer orders.

As for the troubled reputation of SPACs — many companies that went public that way in 2021 famously fizzled out entirely or trade well below their offering price — Johnson was unfazed. “If we just keep our head down, keep delivering customer by customer, robot by robot, we hopefully won’t experience the same volatility,” she said. “Our biggest competitor right now is just us. How quickly we can execute, how quickly we can continue to add new skills.”

The pipeline goes well beyond pilots, Johnson told TechCrunch, pointing to more than $300 million in booked, multi-year revenue that represents roughly 1,000 robots that are part of a robots-as-a-service model in which customers pay a monthly fee rather than purchasing the machines outright. “Everybody on our list right now is already vetted, and they have deployment plans behind their proof of concepts,” Johnson said. Customers include GXO Logistics, Amazon, Toyota Motor Manufacturing Canada, Schaeffler, and Mercado Libre.

Digit itself is a deliberately unfussy piece of hardware. It stands about 5’9″, weighs around 160 pounds, and is designed to do one thing exceptionally well, which is move heavy objects in human-built spaces. Its most distinctive feature is a set of reverse-bend knees — they’ve been called “bird legs” — that allow it to reach from floor level to overhead shelving without the knees colliding with warehouse racking. (Agility’s founders, Johnson explained, weren’t interested in biomimicry for its own sake.) The robot’s hands — two thumbs and two fingers — are similarly task-specific; they’re optimized for gripping heavy plastic totes, even as their contents shift in transit.

Johnson said Agility is “LLM-agnostic,” drawing on models including Claude and Gemini to handle what she calls the semantic layer — translating high-level instructions into robot behavior. She described a recent test in which engineers scattered different types of trash on the floor and told Digit simply to “clean up this mess.” The robot assessed, sorted, and binned everything correctly, including correctly identifying bubble wrap as non-recyclable.

Of course, it’s the physical layer — the mechanics of balance, locomotion, and manipulation — that Agility considers its core proprietary advantage, one built up over more than a decade of real-world deployment. “The LLMs had the entire internet to train on,” she said. “When you think about the physical AI of humanoids — that doesn’t quite exist yet.” At most companies, anyway. Johnson believes Agility is the exception: “We may have the largest data lake of actual operating robotics data in real-world environments.”

Beyond raw data, Johnson said, safety is where the gulf between Agility and its competitors is biggest and most consequential. While rival companies showcase their robots in lab demos and choreographed videos, Agility has had to meet actual industrial safety certification requirements to operate inside customer facilities. “You can’t build your robot and then make it safe,” she said. “That’s a redesign. You have to have all of the safety certified — the electrical system, all of the parts, and the software to support all of that.” (It’s not a trivial concern given that humans are often somewhere in the room. Back in November, Figure AI’s former head of product safety sued the company, alleging he was fired after raising concerns that its robots were powerful enough to fracture a human skull. Figure has disputed the claims.)

As for the home, Johnson thinks humanoids will get there eventually, but she said not to expect them to deliver breakfast in bed anytime soon. It’ll be “10-plus years,” she said of the timeline, observing that warehouses and factories, for all their complexity, have fixed aisles and predictable equipment and workflows unlike homes that are chaotic, with dogs, babies, visitors, and objects left in unexpected places.

“At least roads have some discipline to them,” Johnson added, comparing the challenge to that of autonomous vehicles. “Most of the areas that humanoids will be operating in don’t.”

Agility isn’t ruling out the home market. Johnson said the company will enter it when it makes sense. For now, though, it’s laser focused on the warehouse market, given the growing numbers of retiring workers and younger workers who aren’t willing to take physically demanding roles. “There’s something like over a million jobs in the US today in these areas that are unfilled,” she said. “They’re just very, very hard to hire for.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#humanoid #robotics #company #public #CEO #isnt #promising #robot #home #anytime #TechCrunchagility robotics,Peggy Johnson,SPAC">This humanoid robotics company is going public, but its CEO isn’t promising a robot in your home anytime soon | TechCrunch
The humanoid robotics market is awash in money right now. Last week, AI2 Robotics, a Shenzhen-based startup that makes wheeled humanoid robots, raised roughly 5 million at a nearly  billion valuation. Earlier this year, Apptronik, an Austin-based maker of humanoid robots for manufacturing and logistics, closed a 5 million funding round valuing the company at more than .5 billion. Last fall, Figure AI, a San Jose-based startup developing general-purpose humanoid robots, self-reported that it closed on  billion in Series C funding at an eye-popping  billion valuation.

By comparison, Peggy Johnson, CEO of Agility Robotics, is surprisingly measured. We spoke by phone last week, just after the company announced plans to go public through a merger with Michael Klein’s Churchill Capital Corp XI, a special purpose acquisition company, or SPAC. The deal values Agility at around .5 billion and is expected to raise more than 0 million in gross proceeds, the largest capital raise in humanoid robotics history. It hasn’t closed yet; the merger still needs shareholder approval and SEC review, and is expected to be completed later this year.







Agility was founded in 2015 as a spinoff from Oregon State University. Based in Salem, Oregon, the company makes bipedal humanoid robots designed to work in warehouses and factories. Its SPAC maneuver is notable for a few reasons. It would make Agility the first pure-play humanoid robotics company to trade on public markets, giving retail investors direct exposure to a sector that has so far been available primarily to deep-pocketed VC funds. It also offers a rare window into the finances of a business in a space where most competitors closely guard their numbers and even the state of the tech they are building.

Johnson — formerly executive vice president of business development at Microsoft, where she helped engineer the  billion acquisition of LinkedIn, and later CEO of Magic Leap, the once-hyped augmented reality headset maker — was careful throughout our conversation. She declined to offer forward-looking financial guidance, declined to disclose the bill of materials for Agility’s flagship robot Digit, and pushed back politely whenever questions veered toward speculation.

Asked why Agility is going public via a SPAC rather than raising another private round — a structure that skips the roadshow and pricing scrutiny of a traditional IPO — Johnson said much of it boils down to the first-mover advantage the company enjoys when it’s the first of its ilk to go public. For investors clamoring for shares in a buzzy robotics company, Agility is “an acceleration story and a timing story,” she said. The proceeds will also help Agility ramp up production at its 70,000-square-foot manufacturing facility in Salem, Oregon, and fulfill an existing pipeline of customer orders. 

As for the troubled reputation of SPACs — many companies that went public that way in 2021 famously fizzled out entirely or trade well below their offering price — Johnson was unfazed. “If we just keep our head down, keep delivering customer by customer, robot by robot, we hopefully won’t experience the same volatility,” she said. “Our biggest competitor right now is just us. How quickly we can execute, how quickly we can continue to add new skills.”

The pipeline goes well beyond pilots, Johnson told TechCrunch, pointing to more than 0 million in booked, multi-year revenue that represents roughly 1,000 robots that are part of a robots-as-a-service model in which customers pay a monthly fee rather than purchasing the machines outright. “Everybody on our list right now is already vetted, and they have deployment plans behind their proof of concepts,” Johnson said. Customers include GXO Logistics, Amazon, Toyota Motor Manufacturing Canada, Schaeffler, and Mercado Libre.


Digit itself is a deliberately unfussy piece of hardware. It stands about 5’9″, weighs around 160 pounds, and is designed to do one thing exceptionally well, which is move heavy objects in human-built spaces. Its most distinctive feature is a set of reverse-bend knees — they’ve been called “bird legs” — that allow it to reach from floor level to overhead shelving without the knees colliding with warehouse racking. (Agility’s founders, Johnson explained, weren’t interested in biomimicry for its own sake.) The robot’s hands — two thumbs and two fingers — are similarly task-specific; they’re optimized for gripping heavy plastic totes, even as their contents shift in transit.

Johnson said Agility is “LLM-agnostic,” drawing on models including Claude and Gemini to handle what she calls the semantic layer — translating high-level instructions into robot behavior. She described a recent test in which engineers scattered different types of trash on the floor and told Digit simply to “clean up this mess.” The robot assessed, sorted, and binned everything correctly, including correctly identifying bubble wrap as non-recyclable.

Of course, it’s the physical layer — the mechanics of balance, locomotion, and manipulation — that Agility considers its core proprietary advantage, one built up over more than a decade of real-world deployment. “The LLMs had the entire internet to train on,” she said. “When you think about the physical AI of humanoids — that doesn’t quite exist yet.” At most companies, anyway. Johnson believes Agility is the exception: “We may have the largest data lake of actual operating robotics data in real-world environments.”







Beyond raw data, Johnson said, safety is where the gulf between Agility and its competitors is biggest and most consequential. While rival companies showcase their robots in lab demos and choreographed videos, Agility has had to meet actual industrial safety certification requirements to operate inside customer facilities. “You can’t build your robot and then make it safe,” she said. “That’s a redesign. You have to have all of the safety certified — the electrical system, all of the parts, and the software to support all of that.” (It’s not a trivial concern given that humans are often somewhere in the room. Back in November, Figure AI’s former head of product safety sued the company, alleging he was fired after raising concerns that its robots were powerful enough to fracture a human skull. Figure has disputed the claims.)

As for the home, Johnson thinks humanoids will get there eventually, but she said not to expect them to deliver breakfast in bed anytime soon. It’ll be “10-plus years,” she said of the timeline, observing that warehouses and factories, for all their complexity, have fixed aisles and predictable equipment and workflows unlike homes that are chaotic, with dogs, babies, visitors, and objects left in unexpected places. 

“At least roads have some discipline to them,” Johnson added, comparing the challenge to that of autonomous vehicles. “Most of the areas that humanoids will be operating in don’t.”

Agility isn’t ruling out the home market. Johnson said the company will enter it when it makes sense. For now, though, it’s laser focused on the warehouse market, given the growing numbers of retiring workers and younger workers who aren’t willing to take physically demanding roles. “There’s something like over a million jobs in the US today in these areas that are unfilled,” she said. “They’re just very, very hard to hire for.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#humanoid #robotics #company #public #CEO #isnt #promising #robot #home #anytime #TechCrunchagility robotics,Peggy Johnson,SPAC

$735 million at a nearly $3 billion valuation. Earlier this year, Apptronik, an Austin-based maker of humanoid robots for manufacturing and logistics, closed a $935 million funding round valuing the company at more than $5.5 billion. Last fall, Figure AI, a San Jose-based startup developing general-purpose humanoid robots, self-reported that it closed on $1 billion in Series C funding at an eye-popping $39 billion valuation.

By comparison, Peggy Johnson, CEO of Agility Robotics, is surprisingly measured. We spoke by phone last week, just after the company announced plans to go public through a merger with Michael Klein’s Churchill Capital Corp XI, a special purpose acquisition company, or SPAC. The deal values Agility at around $2.5 billion and is expected to raise more than $620 million in gross proceeds, the largest capital raise in humanoid robotics history. It hasn’t closed yet; the merger still needs shareholder approval and SEC review, and is expected to be completed later this year.

Agility was founded in 2015 as a spinoff from Oregon State University. Based in Salem, Oregon, the company makes bipedal humanoid robots designed to work in warehouses and factories. Its SPAC maneuver is notable for a few reasons. It would make Agility the first pure-play humanoid robotics company to trade on public markets, giving retail investors direct exposure to a sector that has so far been available primarily to deep-pocketed VC funds. It also offers a rare window into the finances of a business in a space where most competitors closely guard their numbers and even the state of the tech they are building.

Johnson — formerly executive vice president of business development at Microsoft, where she helped engineer the $26 billion acquisition of LinkedIn, and later CEO of Magic Leap, the once-hyped augmented reality headset maker — was careful throughout our conversation. She declined to offer forward-looking financial guidance, declined to disclose the bill of materials for Agility’s flagship robot Digit, and pushed back politely whenever questions veered toward speculation.

Asked why Agility is going public via a SPAC rather than raising another private round — a structure that skips the roadshow and pricing scrutiny of a traditional IPO — Johnson said much of it boils down to the first-mover advantage the company enjoys when it’s the first of its ilk to go public. For investors clamoring for shares in a buzzy robotics company, Agility is “an acceleration story and a timing story,” she said. The proceeds will also help Agility ramp up production at its 70,000-square-foot manufacturing facility in Salem, Oregon, and fulfill an existing pipeline of customer orders.

As for the troubled reputation of SPACs — many companies that went public that way in 2021 famously fizzled out entirely or trade well below their offering price — Johnson was unfazed. “If we just keep our head down, keep delivering customer by customer, robot by robot, we hopefully won’t experience the same volatility,” she said. “Our biggest competitor right now is just us. How quickly we can execute, how quickly we can continue to add new skills.”

The pipeline goes well beyond pilots, Johnson told TechCrunch, pointing to more than $300 million in booked, multi-year revenue that represents roughly 1,000 robots that are part of a robots-as-a-service model in which customers pay a monthly fee rather than purchasing the machines outright. “Everybody on our list right now is already vetted, and they have deployment plans behind their proof of concepts,” Johnson said. Customers include GXO Logistics, Amazon, Toyota Motor Manufacturing Canada, Schaeffler, and Mercado Libre.

Digit itself is a deliberately unfussy piece of hardware. It stands about 5’9″, weighs around 160 pounds, and is designed to do one thing exceptionally well, which is move heavy objects in human-built spaces. Its most distinctive feature is a set of reverse-bend knees — they’ve been called “bird legs” — that allow it to reach from floor level to overhead shelving without the knees colliding with warehouse racking. (Agility’s founders, Johnson explained, weren’t interested in biomimicry for its own sake.) The robot’s hands — two thumbs and two fingers — are similarly task-specific; they’re optimized for gripping heavy plastic totes, even as their contents shift in transit.

Johnson said Agility is “LLM-agnostic,” drawing on models including Claude and Gemini to handle what she calls the semantic layer — translating high-level instructions into robot behavior. She described a recent test in which engineers scattered different types of trash on the floor and told Digit simply to “clean up this mess.” The robot assessed, sorted, and binned everything correctly, including correctly identifying bubble wrap as non-recyclable.

Of course, it’s the physical layer — the mechanics of balance, locomotion, and manipulation — that Agility considers its core proprietary advantage, one built up over more than a decade of real-world deployment. “The LLMs had the entire internet to train on,” she said. “When you think about the physical AI of humanoids — that doesn’t quite exist yet.” At most companies, anyway. Johnson believes Agility is the exception: “We may have the largest data lake of actual operating robotics data in real-world environments.”

Beyond raw data, Johnson said, safety is where the gulf between Agility and its competitors is biggest and most consequential. While rival companies showcase their robots in lab demos and choreographed videos, Agility has had to meet actual industrial safety certification requirements to operate inside customer facilities. “You can’t build your robot and then make it safe,” she said. “That’s a redesign. You have to have all of the safety certified — the electrical system, all of the parts, and the software to support all of that.” (It’s not a trivial concern given that humans are often somewhere in the room. Back in November, Figure AI’s former head of product safety sued the company, alleging he was fired after raising concerns that its robots were powerful enough to fracture a human skull. Figure has disputed the claims.)

As for the home, Johnson thinks humanoids will get there eventually, but she said not to expect them to deliver breakfast in bed anytime soon. It’ll be “10-plus years,” she said of the timeline, observing that warehouses and factories, for all their complexity, have fixed aisles and predictable equipment and workflows unlike homes that are chaotic, with dogs, babies, visitors, and objects left in unexpected places.

“At least roads have some discipline to them,” Johnson added, comparing the challenge to that of autonomous vehicles. “Most of the areas that humanoids will be operating in don’t.”

Agility isn’t ruling out the home market. Johnson said the company will enter it when it makes sense. For now, though, it’s laser focused on the warehouse market, given the growing numbers of retiring workers and younger workers who aren’t willing to take physically demanding roles. “There’s something like over a million jobs in the US today in these areas that are unfilled,” she said. “They’re just very, very hard to hire for.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#humanoid #robotics #company #public #CEO #isnt #promising #robot #home #anytime #TechCrunchagility robotics,Peggy Johnson,SPAC">This humanoid robotics company is going public, but its CEO isn’t promising a robot in your home anytime soon | TechCrunch

The humanoid robotics market is awash in money right now. Last week, AI2 Robotics, a Shenzhen-based startup that makes wheeled humanoid robots, raised roughly $735 million at a nearly $3 billion valuation. Earlier this year, Apptronik, an Austin-based maker of humanoid robots for manufacturing and logistics, closed a $935 million funding round valuing the company at more than $5.5 billion. Last fall, Figure AI, a San Jose-based startup developing general-purpose humanoid robots, self-reported that it closed on $1 billion in Series C funding at an eye-popping $39 billion valuation.

By comparison, Peggy Johnson, CEO of Agility Robotics, is surprisingly measured. We spoke by phone last week, just after the company announced plans to go public through a merger with Michael Klein’s Churchill Capital Corp XI, a special purpose acquisition company, or SPAC. The deal values Agility at around $2.5 billion and is expected to raise more than $620 million in gross proceeds, the largest capital raise in humanoid robotics history. It hasn’t closed yet; the merger still needs shareholder approval and SEC review, and is expected to be completed later this year.

Agility was founded in 2015 as a spinoff from Oregon State University. Based in Salem, Oregon, the company makes bipedal humanoid robots designed to work in warehouses and factories. Its SPAC maneuver is notable for a few reasons. It would make Agility the first pure-play humanoid robotics company to trade on public markets, giving retail investors direct exposure to a sector that has so far been available primarily to deep-pocketed VC funds. It also offers a rare window into the finances of a business in a space where most competitors closely guard their numbers and even the state of the tech they are building.

Johnson — formerly executive vice president of business development at Microsoft, where she helped engineer the $26 billion acquisition of LinkedIn, and later CEO of Magic Leap, the once-hyped augmented reality headset maker — was careful throughout our conversation. She declined to offer forward-looking financial guidance, declined to disclose the bill of materials for Agility’s flagship robot Digit, and pushed back politely whenever questions veered toward speculation.

Asked why Agility is going public via a SPAC rather than raising another private round — a structure that skips the roadshow and pricing scrutiny of a traditional IPO — Johnson said much of it boils down to the first-mover advantage the company enjoys when it’s the first of its ilk to go public. For investors clamoring for shares in a buzzy robotics company, Agility is “an acceleration story and a timing story,” she said. The proceeds will also help Agility ramp up production at its 70,000-square-foot manufacturing facility in Salem, Oregon, and fulfill an existing pipeline of customer orders.

As for the troubled reputation of SPACs — many companies that went public that way in 2021 famously fizzled out entirely or trade well below their offering price — Johnson was unfazed. “If we just keep our head down, keep delivering customer by customer, robot by robot, we hopefully won’t experience the same volatility,” she said. “Our biggest competitor right now is just us. How quickly we can execute, how quickly we can continue to add new skills.”

The pipeline goes well beyond pilots, Johnson told TechCrunch, pointing to more than $300 million in booked, multi-year revenue that represents roughly 1,000 robots that are part of a robots-as-a-service model in which customers pay a monthly fee rather than purchasing the machines outright. “Everybody on our list right now is already vetted, and they have deployment plans behind their proof of concepts,” Johnson said. Customers include GXO Logistics, Amazon, Toyota Motor Manufacturing Canada, Schaeffler, and Mercado Libre.

Digit itself is a deliberately unfussy piece of hardware. It stands about 5’9″, weighs around 160 pounds, and is designed to do one thing exceptionally well, which is move heavy objects in human-built spaces. Its most distinctive feature is a set of reverse-bend knees — they’ve been called “bird legs” — that allow it to reach from floor level to overhead shelving without the knees colliding with warehouse racking. (Agility’s founders, Johnson explained, weren’t interested in biomimicry for its own sake.) The robot’s hands — two thumbs and two fingers — are similarly task-specific; they’re optimized for gripping heavy plastic totes, even as their contents shift in transit.

Johnson said Agility is “LLM-agnostic,” drawing on models including Claude and Gemini to handle what she calls the semantic layer — translating high-level instructions into robot behavior. She described a recent test in which engineers scattered different types of trash on the floor and told Digit simply to “clean up this mess.” The robot assessed, sorted, and binned everything correctly, including correctly identifying bubble wrap as non-recyclable.

Of course, it’s the physical layer — the mechanics of balance, locomotion, and manipulation — that Agility considers its core proprietary advantage, one built up over more than a decade of real-world deployment. “The LLMs had the entire internet to train on,” she said. “When you think about the physical AI of humanoids — that doesn’t quite exist yet.” At most companies, anyway. Johnson believes Agility is the exception: “We may have the largest data lake of actual operating robotics data in real-world environments.”

Beyond raw data, Johnson said, safety is where the gulf between Agility and its competitors is biggest and most consequential. While rival companies showcase their robots in lab demos and choreographed videos, Agility has had to meet actual industrial safety certification requirements to operate inside customer facilities. “You can’t build your robot and then make it safe,” she said. “That’s a redesign. You have to have all of the safety certified — the electrical system, all of the parts, and the software to support all of that.” (It’s not a trivial concern given that humans are often somewhere in the room. Back in November, Figure AI’s former head of product safety sued the company, alleging he was fired after raising concerns that its robots were powerful enough to fracture a human skull. Figure has disputed the claims.)

As for the home, Johnson thinks humanoids will get there eventually, but she said not to expect them to deliver breakfast in bed anytime soon. It’ll be “10-plus years,” she said of the timeline, observing that warehouses and factories, for all their complexity, have fixed aisles and predictable equipment and workflows unlike homes that are chaotic, with dogs, babies, visitors, and objects left in unexpected places.

“At least roads have some discipline to them,” Johnson added, comparing the challenge to that of autonomous vehicles. “Most of the areas that humanoids will be operating in don’t.”

Agility isn’t ruling out the home market. Johnson said the company will enter it when it makes sense. For now, though, it’s laser focused on the warehouse market, given the growing numbers of retiring workers and younger workers who aren’t willing to take physically demanding roles. “There’s something like over a million jobs in the US today in these areas that are unfilled,” she said. “They’re just very, very hard to hire for.”

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