Latest news with #reindustrialize
Yahoo
17-07-2025
- Automotive
- Yahoo
Hadrian raises $260M to build out automated factories for space and defense parts
Investors are continuing to rally behind the call to reindustrialize American industry, this time by building out a $260 million war chest for automated manufacturing startup Hadrian to scale its factory footprint and make even more machine parts. Hadrian's aim is to modernize American manufacturing by leveraging advance automation to deliver mass-produced parts for aerospace and defense companies at a fraction of the time. It's a huge change to the status quo: a manufacturing industry that's largely populated by dozens of small machining shops run by an aging workforce. Hadrian's first target was high-precision CNC machining, a manufacturing process that makes parts to extremely tight tolerances — often measured in the microns, not millimeters (a single human hair is anywhere from 50 to 120 microns in thickness). Now, in addition to that core CNC offering, the company is getting ready to diversify into welding, casting, additive, and other processes, Power said in a post on X. (He did not immediately respond to TechCrunch's request for comment on the new round.) The hefty new round will also go toward building out a new Arizona facility, dubbed 'Factory 3,' slated to come online by Christmas 2025. That factory will offer four times the machining throughput of Hadrian's second factory. Hadrian is also expanding its 500,000-square-foot headquarters and R&D space in Torrance, California, with the new funding. The company will also start offering divisions for maritime and munitions-specific parts 'to meet the sale and speed needed to reclaim our birthright as the industrial superpower of the world,' Power said on X. Hadrian's business model is not just selling parts, but also a 'factories as a service' model that will see dedicated facilities for customers that want to ensure committed factory capacity. Speaking at the Reindustrialization Summit on Wednesday, Power argued that reshoring domestic production is nothing less than existential: 'This country is heading into a generational fight,' he said. 'The hour is extremely late. The great game is on … We have an incredibly short window to prepare for this, fix it, reindustrialize the country and return to what made us great in the first place.' The new round was led by Founders Fund and Lux Capital, with Morgan Stanley providing financing for the factory expansion. New investors Altimeter, 1789 Capital, and existing investors a16z, Construct Capital, and 137 Ventures also participated. The company has now raised nearly $500 million since it was founded in 2020.
TechCrunch
17-07-2025
- Automotive
- TechCrunch
Hadrian raises $260M to build out automated factories for space and defense parts
Investors are continuing to rally behind the call to reindustrialize American industry, this time by building out a $260 million war chest for automated manufacturing startup Hadrian to scale its factory footprint and make even more machine parts. Hadrian's aim is to modernize American manufacturing by leveraging advance automation to deliver mass-produced parts for aerospace and defense companies at a fraction of the time. It's a huge change to the status quo: a manufacturing industry that's largely populated by dozens of small machining shops run by an aging workforce. Hadrian's first target was high-precision CNC machining, a manufacturing process that makes parts to extremely tight tolerances — often measured in the microns, not millimeters (a single human hair is anywhere from 50 to 120 microns in thickness). Now, in addition to that core CNC offering, the company is getting ready to diversify into welding, casting, additive, and other processes, Power said in a post on X. (He did not immediately respond to TechCrunch's request for comment on the new round.) The hefty new round will also go toward building out a new Arizona facility, dubbed 'Factory 3,' slated to come online by Christmas 2025. That factory will offer four times the machining throughput of Hadrian's second factory. Hadrian is also expanding its 500,000-square-foot headquarters and R&D space in Torrance, California, with the new funding. The company will also start offering divisions for maritime and munitions-specific parts 'to meet the sale and speed needed to reclaim our birthright as the industrial superpower of the world,' Power said on X. Hadrian's business model is not just selling parts, but also a 'factories as a service' model that will see dedicated facilities for customers that want to ensure committed factory capacity. Speaking at the Reindustrialization Summit on Wednesday, Power argued that reshoring domestic production is nothing less than existential: 'This country is heading into a generational fight,' he said. 'The hour is extremely late. The great game is on … We have an incredibly short window to prepare for this, fix it, reindustrialize the country and return to what made us great in the first place.' Techcrunch event Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $675 before prices rise. Tech and VC heavyweights join the Disrupt 2025 agenda Netflix, ElevenLabs, Wayve, Sequoia Capital — just a few of the heavy hitters joining the Disrupt 2025 agenda. They're here to deliver the insights that fuel startup growth and sharpen your edge. Don't miss the 20th anniversary of TechCrunch Disrupt, and a chance to learn from the top voices in tech — grab your ticket now and save up to $675 before prices rise. San Francisco | REGISTER NOW The new round was led by Founders Fund and Lux Capital, with Morgan Stanley providing financing for the factory expansion. New investors Altimeter, 1789 Capital, and existing investors a16z, Construct Capital, and 137 Ventures also participated. The company has now raised nearly $500 million since it was founded in 2020.
Yahoo
13-07-2025
- Business
- Yahoo
Nvidia's CEO says the US should ‘reduce' dependency on other countries, onshore technology manufacturing
America's plan to 're-industrialize' technology manufacturing is 'exactly the right thing,' said Jensen Huang, CEO of the world's leading AI chipmaker. In an interview with CNN's Fareed Zakaria, Huang, who heads the Santa Clara, California-based Nvidia, said the United States should invest in manufacturing and is currently 'missing that entire band in our industries.' 'That passion, the skill, the craft of making things; the ability to make things is valuable for economic growth — it's value for a stable society with people who can create a wonderful life and a wonderful career without having to get a PhD in physics,' Huang said. The Trump administration has instituted a slew of policies, including sweeping tariffs, in an effort to revive America's declining manufacturing industries. It has been in part to boost the automotive and energy sectors, as well as investments in technologies. 'President Trump has made it clear America cannot rely on China to manufacture critical technologies such as semiconductors, chips, smartphones, and laptops,' White House press secretary Karoline Leavitt said in a statement in April after a temporary tariff pause was instituted on smartphones and other electronics. Huang said that onshoring manufacturing would take the pressure off of Taiwan, where the world's largest semiconductor maker, Taiwan Semiconductor Manufacturing Company (TSMC), is based. Trump announced in March that the chipmaking giant would invest at least $100 billion in US manufacturing. 'Having a rich ecosystem of industries and manufacturing so that we could, on the one hand, make the United States better but also reduce our dependency — sole dependency — on other countries, is a smart move,' Huang said. The increase in AI investments, which fueled a massive technology boom in recent years, has raised concerns about whether the technology will threaten jobs in the future. A survey released in January from the World Economic Forum showed 41% of employers plan to downsize their workforce by 2030 because of AI automation. Nvidia, which briefly reached $4 trillion in market value, has created technology to power data centers that companies like Microsoft, Amazon and Google use to operate their AI models and cloud services. 'Everybody's jobs will be affected. Some jobs will be lost. Many jobs will be created and what I hope is that the productivity gains that we see in all the industries will lift society,' Huang said. He explained that every software engineer and chip designer at Nvidia uses AI, and he encourages it 'to the point of mandating it.' Artificial intelligence tools, especially generative response platforms like Elon Musk's Grok and OpenAI's ChatGPT, have faced their fair share of controversies recently. Just last week, Grok began responding with posts after Musk's xAI tweaked the chatbot to allow it to offer users more 'politically incorrect' answers. It began creating antisemitic hate posts, among other graphic descriptions. xAI posted a statement Saturday that an update of 'deprecated code' made Grok susceptible to existing user posts on X, including extremist views. That code has since been removed, according to the X statement. Huang commented on Grok, saying it's probably because the chatbot is 'younger' but that Musk 'has made so much progress with Grok in 18 months.' 'Of course there's the fine tuning, there's the guardrailing, and that just takes time of polish,' he said. There have also been concerns about AI models being prone to 'hallucinations,' meaning AI models go off-script and spew inaccurate information. Similarly, because they can be susceptible to manipulation, some experts have expressed concerns about losing control of powerful AI models. But Huang believes that 'borderline scares people' who do not know how AI systems are interconnected to keep the technology safe. He explained that most AI models use other AI tools to provide resources and fact-check. He added that global standards and safety practices should be in place. 'It will be overwhelmingly positive. Some harm will be done. The world has to jump on top of it when it happens, but it will be overwhelmingly, incredibly powerful,' he said. Huang said AI models could be used to cure diseases by teaching the tools about proteins and chemicals, including the meanings of chemicals and how they interact. It would be similar to the process of drug discovery, but it's more complicated than teaching AI about language because of the data required, Huang noted. 'Not only will we accelerate the discovery of drugs, we'll improve our understanding of disease. But over time, we're going to have virtual assistant researchers and scientists to help us essentially cure all disease,' he said. 'I think that day is coming.' There will also be real-world, physical use cases of AI. Generative models today, like Google's Veo 3, can generate videos of physical actions. The next step is creating a robot that can complete similar tasks, like picking up a glass. That process would be a vision-language-action (VLA) model, which differs from large-language models (LLMs). 'The technology exists today. It works today,' Huang said, adding there will be lots of the technology in 'three to five years.' Fareed Zakaria's interview with Nvidia CEO Jensen Huang can be seen on 'Fareed Zakaria GPS' on Sunday 10 a.m. ET/PT. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
CNN
13-07-2025
- Business
- CNN
Nvidia's CEO says the US should ‘reduce' dependency on other countries and onshore technology manufacturing
America's plan to 're-industrialize' technology manufacturing is 'exactly the right thing,' said Jensen Huang, CEO of the world's leading AI chipmaker. In an interview with CNN's Fareed Zakaria, Huang, who heads the Santa Clara, California-based Nvidia, said the United States should invest in manufacturing and is currently 'missing that entire band in our industries.' 'That passion, the skill, the craft of making things; the ability to make things is valuable for economic growth — it's value for a stable society with people who can create a wonderful life and a wonderful career without having to get a PhD in physics,' Huang said. The Trump administration has instituted a slew of policies, including sweeping tariffs, in an effort to revive America's declining manufacturing industries. It has been in part to boost the automotive and energy sectors, as well as investments in technologies. 'President Trump has made it clear America cannot rely on China to manufacture critical technologies such as semiconductors, chips, smartphones, and laptops,' White House press secretary Karoline Leavitt said in a statement in April after a temporary tariff pause was instituted on smartphones and other electronics. Huang said that onshoring manufacturing would take the pressure off of Taiwan, where the world's largest semiconductor maker, Taiwan Semiconductor Manufacturing Company (TSMC), is based. Trump announced in March that the chipmaking giant would invest at least $100 billion in US manufacturing. 'Having a rich ecosystem of industries and manufacturing so that we could, on the one hand, make the United States better but also reduce our dependency — sole dependency — on other countries, is a smart move,' Huang said. The increase in AI investments, which fueled a massive technology boom in recent years, has raised concerns about whether the technology will threaten jobs in the future. A survey released in January from the World Economic Forum showed 41% of employers plan to downsize their workforce by 2030 because of AI automation. Nvidia, which briefly reached $4 trillion in market value, has created technology to power data centers that companies like Microsoft, Amazon and Google use to operate their AI models and cloud services. 'Everybody's jobs will be affected. Some jobs will be lost. Many jobs will be created and what I hope is that the productivity gains that we see in all the industries will lift society,' Huang said. He explained that every software engineer and chip designer at Nvidia uses AI, and he encourages it 'to the point of mandating it.' Artificial intelligence tools, especially generative response platforms like Elon Musk's Grok and OpenAI's ChatGPT, have faced their fair share of controversies recently. Just last week, Grok began responding with posts after Musk's xAI tweaked the chatbot to allow it to offer users more 'politically incorrect' answers. It began creating antisemitic hate posts, among other graphic descriptions. xAI posted a statement Saturday that an update of 'deprecated code' made Grok susceptible to existing user posts on X, including extremist views. That code has since been removed, according to the X statement. Huang commented on Grok, saying it's probably because the chatbot is 'younger' but that Musk 'has made so much progress with Grok in 18 months.' 'Of course there's the fine tuning, there's the guardrailing, and that just takes time of polish,' he said. There have also been concerns about AI models being prone to 'hallucinations,' meaning AI models go off-script and spew inaccurate information. Similarly, because they can be susceptible to manipulation, some experts have expressed concerns about losing control of powerful AI models. But Huang believes that 'borderline scares people' who do not know how AI systems are interconnected to keep the technology safe. He explained that most AI models use other AI tools to provide resources and fact-check. He added that global standards and safety practices should be in place. 'It will be overwhelmingly positive. Some harm will be done. The world has to jump on top of it when it happens, but it will be overwhelmingly, incredibly powerful,' he said. Huang said AI models could be used to cure diseases by teaching the tools about proteins and chemicals, including the meanings of chemicals and how they interact. It would be similar to the process of drug discovery, but it's more complicated than teaching AI about language because of the data required, Huang noted. 'Not only will we accelerate the discovery of drugs, we'll improve our understanding of disease. But over time, we're going to have virtual assistant researchers and scientists to help us essentially cure all disease,' he said. 'I think that day is coming.' There will also be real-world, physical use cases of AI. Generative models today, like Google's Veo 3, can generate videos of physical actions. The next step is creating a robot that can complete similar tasks, like picking up a glass. That process would be a vision-language-action (VLA) model, which differs from large-language models (LLMs). 'The technology exists today. It works today,' Huang said, adding there will be lots of the technology in 'three to five years.' Fareed Zakaria's interview with Nvidia CEO Jensen Huang can be seen on 'Fareed Zakaria GPS' on Sunday 10 a.m. ET/PT.
CNN
13-07-2025
- Business
- CNN
Nvidia's CEO says the US should ‘reduce' dependency on other countries and onshore technology manufacturing
America's plan to 're-industrialize' technology manufacturing is 'exactly the right thing,' said Jensen Huang, CEO of the world's leading AI chipmaker. In an interview with CNN's Fareed Zakaria, Huang, who heads the Santa Clara, California-based Nvidia, said the United States should invest in manufacturing and is currently 'missing that entire band in our industries.' 'That passion, the skill, the craft of making things; the ability to make things is valuable for economic growth — it's value for a stable society with people who can create a wonderful life and a wonderful career without having to get a PhD in physics,' Huang said. The Trump administration has instituted a slew of policies, including sweeping tariffs, in an effort to revive America's declining manufacturing industries. It has been in part to boost the automotive and energy sectors, as well as investments in technologies. 'President Trump has made it clear America cannot rely on China to manufacture critical technologies such as semiconductors, chips, smartphones, and laptops,' White House press secretary Karoline Leavitt said in a statement in April after a temporary tariff pause was instituted on smartphones and other electronics. Huang said that onshoring manufacturing would take the pressure off of Taiwan, where the world's largest semiconductor maker, Taiwan Semiconductor Manufacturing Company (TSMC), is based. Trump announced in March that the chipmaking giant would invest at least $100 billion in US manufacturing. 'Having a rich ecosystem of industries and manufacturing so that we could, on the one hand, make the United States better but also reduce our dependency — sole dependency — on other countries, is a smart move,' Huang said. The increase in AI investments, which fueled a massive technology boom in recent years, has raised concerns about whether the technology will threaten jobs in the future. A survey released in January from the World Economic Forum showed 41% of employers plan to downsize their workforce by 2030 because of AI automation. Nvidia, which briefly reached $4 trillion in market value, has created technology to power data centers that companies like Microsoft, Amazon and Google use to operate their AI models and cloud services. 'Everybody's jobs will be affected. Some jobs will be lost. Many jobs will be created and what I hope is that the productivity gains that we see in all the industries will lift society,' Huang said. He explained that every software engineer and chip designer at Nvidia uses AI, and he encourages it 'to the point of mandating it.' Artificial intelligence tools, especially generative response platforms like Elon Musk's Grok and OpenAI's ChatGPT, have faced their fair share of controversies recently. Just last week, Grok began responding with posts after Musk's xAI tweaked the chatbot to allow it to offer users more 'politically incorrect' answers. It began creating antisemitic hate posts, among other graphic descriptions. xAI posted a statement Saturday that an update of 'deprecated code' made Grok susceptible to existing user posts on X, including extremist views. That code has since been removed, according to the X statement. Huang commented on Grok, saying it's probably because the chatbot is 'younger' but that Musk 'has made so much progress with Grok in 18 months.' 'Of course there's the fine tuning, there's the guardrailing, and that just takes time of polish,' he said. There have also been concerns about AI models being prone to 'hallucinations,' meaning AI models go off-script and spew inaccurate information. Similarly, because they can be susceptible to manipulation, some experts have expressed concerns about losing control of powerful AI models. But Huang believes that 'borderline scares people' who do not know how AI systems are interconnected to keep the technology safe. He explained that most AI models use other AI tools to provide resources and fact-check. He added that global standards and safety practices should be in place. 'It will be overwhelmingly positive. Some harm will be done. The world has to jump on top of it when it happens, but it will be overwhelmingly, incredibly powerful,' he said. Huang said AI models could be used to cure diseases by teaching the tools about proteins and chemicals, including the meanings of chemicals and how they interact. It would be similar to the process of drug discovery, but it's more complicated than teaching AI about language because of the data required, Huang noted. 'Not only will we accelerate the discovery of drugs, we'll improve our understanding of disease. But over time, we're going to have virtual assistant researchers and scientists to help us essentially cure all disease,' he said. 'I think that day is coming.' There will also be real-world, physical use cases of AI. Generative models today, like Google's Veo 3, can generate videos of physical actions. The next step is creating a robot that can complete similar tasks, like picking up a glass. That process would be a vision-language-action (VLA) model, which differs from large-language models (LLMs). 'The technology exists today. It works today,' Huang said, adding there will be lots of the technology in 'three to five years.' Fareed Zakaria's interview with Nvidia CEO Jensen Huang can be seen on 'Fareed Zakaria GPS' on Sunday 10 a.m. ET/PT.
