Every published Top AI Stories item tagged with Manufacturing, newest first.
Sequoia Capital is leading a deal that would value Mecka AI at $500 million, up from $60 million three months ago. The company pays people to wear body sensors and record themselves doing ordinary physical tasks, then sells the footage to train humanoid robots — the same trade Scale AI and Surge made supplying text to language-model builders. Founded in 2024, it forecast an annual run rate of $100 million by the end of this year.
Samsung and Taiwan Semiconductor Manufacturing said they will adopt ASML's high numerical aperture extreme ultraviolet lithography systems, which cost up to 400 million dollars each, for memory chips in 2028 and leading-edge logic in 2030. Intel already runs them in volume. More consequentially, all three have agreed with ASML to move the industry standard photomask from six inches to twelve inches, a change ASML's chief technology officer says could lift the machines' productivity by 40 percent. SK Hynix is weighing joining the consortium. ASML remains blocked from selling these systems to China.
Caterpillar is applying what it learned automating mine sites to a company-wide AI push, chief technology officer Jaime Mineart told TechCrunch. The company runs 1.6 million connected machines generating 16 petabytes of structured data, and is spending $100 million over five years to retrain 118,000 employees whose work shifts from operating one machine to supervising several remotely. Its power-generation division, which sells into data centers, grew sales 72 percent in the second quarter of 2026.
Anthropic opened a research preview of the Model Hardware Standard, a shared specification for letting AI agents operate laboratory and manufacturing devices without a bespoke integration for every instrument. It borrows the shape of a device driver: hardware describes itself in a standard format and exposes simple read and write commands, so a microscope, a liquid handler or a robotic arm becomes discoverable rather than custom-wired. Genentech, Carnegie Mellon, two University of Washington protein-design labs and the quantum firm QuEra are among the first users, with Amazon Web Services, Tecan and Universal Robots building support on the vendor side. Drivers enforce device-level safety limits and can require a person to approve high-risk steps.
Generalist, founded by two former Google DeepMind researchers and a former Boston Dynamics engineer, has added about $200 million led by 8VC, taking its Series B to $600 million and its valuation to $3 billion, according to sources cited by TechCrunch. The company was valued at $2 billion in June. Its pitch is a robotics foundation model that teaches machines new tasks from video demonstrations as short as three to twelve seconds, and its earlier backers include Nvidia, Bezos Expeditions and the researcher Fei-Fei Li. It has no relation to the similarly named General Intuition, a different robotics startup that raised at a $6 billion valuation a day earlier.
Discovered Materials, a Y Combinator company founded by Advaith Sridhar and Akash Ramdas, raised a $9 million seed round, led by Lightspeed India Partners with Peak XV Partners and angels including Paul Graham. It runs swarms of Anthropic-powered agents that propose candidate semiconductor materials, then screens them through physics-based simulation — thousands of guesses a day against a manual process measured in months. The target is heat: thermal limits, not transistor counts, increasingly cap what an AI chip can deliver. No customers are named yet.
Gemini Robotics 2 is a three-model system, pairing a vision-language-action model for motor control with an embodied reasoning model for planning and an efficient on-device variant. The headline capability is intelligent whole-body control, letting a humanoid walk, crouch, reach and manipulate an object at the same time rather than treating locomotion and manipulation as separate problems. Demonstrations ran on Apptronik's Apollo 2 humanoid and several research platforms. The reasoning model is available now in Google AI Studio; the other two are limited to early-access partners.
The Federal Communications Commission added foreign-produced advanced robotic devices to its Covered List on July 28, which blocks new equipment authorizations and, with them, new imports and US sales of humanoid and quadruped machines. Robots already authorized and robots already owned are untouched, and the Department of War can grant conditional approval case by case. The target is not subtle: China supplies roughly 85 percent of the global humanoid market, with Unitree and AGIBOT each shipping more than five thousand units in 2025 against a few hundred apiece for Tesla and Figure AI.
CXMT, China's largest maker of dynamic random-access memory (DRAM), closed up 466% on its first day of trading in Shanghai, valuing the Hefei company at more than $487 billion and making it the most valuable firm listed on a mainland Chinese exchange. The offering raised at least $8.6 billion. First-quarter revenue rose more than 700% year-over-year on AI demand, and CXMT is China's best-positioned attempt to build high-bandwidth memory (HBM) at home while US export controls hold.
Nvidia and South Korea's SK Group announced an expanded partnership valued at over $500 billion, covering multi-gigawatt AI factories and a long-term memory supply agreement. SK Telecom will build a 2-gigawatt facility in Korea running Nvidia's next-generation Vera Rubin systems on SK hynix HBM4 memory, with the first phase due online in 2027. The memory half matters most: high-bandwidth memory has become the tightest constraint on shipping AI hardware.
TechCrunch visited Encord's facility in San Leandro, California, where workers wearing head-mounted sensors from the German startup Zander Labs generate training data for robotic manipulation. The headsets read mental states like error, intent, and surprise, alongside first-person video and forearm muscle sensors. The premise is that physical AI is bottlenecked on data rather than on models — as Encord's head of robot learning put it, "The data simply does not exist."
Capping a Tokyo visit by chief executive Jensen Huang, Nvidia and the Japanese government unveiled a national Physical AI Initiative to build open foundation models for robots, autonomous machines, and factory digital twins — a bet on Japan's manufacturing base and shrinking workforce. Partners span Toyota, which is building assisted-driving systems and factory simulations on Nvidia platforms, robot makers Fanuc, Yaskawa, and Kawasaki, plus SoftBank, Fujitsu, and Mitsubishi Electric. Japan is pairing the effort with up to $6.2 billion in planned spending over five years toward homegrown physical AI. It is the clearest sign yet that the robotics race is consolidating around a handful of national, chip-anchored ecosystems.
Agility Robotics opened a 60,000-square-foot center in Fremont, California — minutes from Tesla's factory, where Optimus production is expected — to train its Digit humanoid for real-world work. The company says it now holds about 300 million dollars in contract orders, with Digits having moved more than 100,000 totes at a GXO warehouse and customers including Amazon and Toyota. Agility is also pursuing a reverse merger to become the first pure-play humanoid-robot company on public markets, with a more capable fifth-generation Digit due this fall.
More than 34,000 of Hyundai's roughly 40,000 union members authorized a three-day partial strike that ran July 13 through 15 — the first car-factory stoppage anywhere driven by humanoid robots. The union wants job and income guarantees tied to automation, alongside a 149,600-won monthly base-pay rise and profit sharing. Hyundai plans to put Boston Dynamics' Atlas into its Georgia plant in 2028 and deploy more than 25,000 of the robots across Hyundai and Kia sites. The timing is what makes it notable: workers are bargaining for protection before the robots land, not after.
Micron posted fiscal third-quarter revenue of $41.5 billion, up 346 percent from a year ago, with profit jumping to $28.2 billion — and its shares spiked enough on June 25 to briefly vault its market value past Meta and Tesla, near $1.4 trillion. The surge reflects a broader shift: high-bandwidth memory has become the scarcest part of an AI server, and Micron is one of only three suppliers that can make it at scale. Wall Street analysts are now openly asking whether the memory maker is the next Nvidia.
Ford has rehired about 350 veteran engineers — some retirees, some pulled from suppliers — after concluding that automated, AI-driven quality systems were not catching defects well enough on their own. The 'gray beard' specialists spot failure points before parts reach the plant floor, retrain younger staff, and reprogram the AI tools. One executive admitted the company had wrongly assumed that 'just introducing artificial intelligence' would produce a high-quality product. The reversal helped Ford top J.D. Power's initial-quality ranking among mainstream brands and cut hundreds of millions in warranty and recall costs.
Hyundai is buying SoftBank's remaining 9.65 percent stake in Boston Dynamics for $325 million, making the Massachusetts robotics maker a wholly owned subsidiary. SoftBank — which bought Boston Dynamics from Google in 2017 — is exiting to free up capital for its much larger bet on OpenAI. Hyundai, meanwhile, is doubling down: a production version of the electric Atlas humanoid is slated to start work at its Georgia EV plant by 2028.
Germany's Neura Robotics raised $1.4 billion in a Series C round backed by Amazon, NVIDIA, Qualcomm, Bosch, and the European Investment Bank, valuing the cognitive-robotics company at about $7 billion. It is the biggest single round ever raised by a full-stack robotics maker, and a sign that strategic players are betting hard on humanoids for warehouse and factory work. Neura already holds more than $1 billion in pre-orders for its two-armed, two-legged 4NE-1 robot, whose first units are due to ship late this year.
Amazon signed a multiyear, multibillion-dollar agreement for Corning to supply optical fiber, cable, and connectivity for its US data centers, with production centered at Corning's North Carolina plants. The deal creates about 1,000 advanced-manufacturing jobs plus a new technician-training program, and underscores how fiber has become a bottleneck for AI clusters — optical links move far more data between thousands of chips than copper, with less power loss. It is Corning's third AI mega-deal of 2026, after a $6 billion Meta agreement in January and a $3.2 billion Nvidia partnership in May.
Mistral closed an acquisition of Linz-based Emmi AI, an Austrian engineering startup building physics-based simulation models for aerospace, automotive, semiconductors, and energy. Roughly 30 researchers and engineers join Mistral's team, and Linz becomes an official Mistral office. The combined pitch: real-time simulations and digital twins layered onto Mistral's platform to court industrial buyers in high-stakes manufacturing sectors. Terms were not disclosed; the deal closes in May 2026.
On May 4 both frontier labs announced finance-industry-backed enterprise AI services companies. Anthropic revealed a joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs — also backed by Apollo Global Management, Sequoia, GIC, General Atlantic, and Leonard Green — that embeds Applied AI engineers into mid-sized community banks, manufacturers, and regional health systems for Claude integrations. OpenAI's parallel "The Development Company" raised $4 billion at a $10 billion valuation alongside TPG, Brookfield, Advent, and Bain Capital. Both adopt Palantir's forward-deployed engineer model — sending lab engineers into client organizations rather than selling SaaS — a structural signal about how mid-market AI distribution is going to be sold.