Texas Instruments Posts 19% Revenue Growth as AI and Industrial Demand Drives Record Quarter

Texas Instruments reported first-quarter revenue of $4.83 billion, up 19% year-over-year, driven by 90% growth in its data center segment and 30% growth in industrial, sending shares to their best single-day gain since 2000.

By Laura Bennett | Edited by Kseniia Klichova Published:
Texas Instruments Posts 19% Revenue Growth as AI and Industrial Demand Drives Record Quarter
Analog semiconductor chips on a production line, used in power management and signal conversion for AI data centers and industrial automation systems. Photo: Texas Instruments

Texas Instruments reported first-quarter revenue of $4.83 billion on Wednesday, a 19% increase from the same period a year ago and well above the $4.53 billion average analyst estimate. Earnings per share of $1.68 also exceeded expectations of $1.27. Shares rose 19% on Thursday, closing at a record high and marking the company’s best single-day gain since 2000. The stock is up 63% for the year.

The results reflect accelerating demand for analog semiconductors – components that regulate power, convert real-world signals into digital data, and perform the essential support functions that more advanced processors depend on to operate.

Data Center and Industrial Growth

CEO Haviv Ilan said on the earnings call that data center segment revenue grew approximately 90% year-over-year, driven by hyperscaler infrastructure buildout from companies including Meta and Amazon. The industrial segment grew 30% over the same period.

Texas Instruments does not manufacture the high-performance AI processors made by Nvidia and AMD, but its analog chips are embedded throughout the power management and signal conversion layers that data centers require to function. As AI infrastructure spending accelerates, demand for these support components scales proportionally with the hardware being deployed.

Second-quarter guidance of between $5 billion and $5.4 billion – representing growth of approximately 17% at the midpoint – suggests the demand environment is expected to remain strong. “If the market wants to grow at the same rate as Q1, we are ready. If it wants to accelerate, we are ready as well,” Ilan said.

Manufacturing Investment and Acquisitions

Texas Instruments is investing $60 billion to build three new fabrication plants in the United States, with additional manufacturing operations in Germany, Japan, and China. Apple CEO Tim Cook committed last year to sourcing critical foundation semiconductors for iPhones and other devices from Texas Instruments’ new Utah and Texas facilities. Other major customers include Nvidia, Ford, Medtronic, and SpaceX.

In February, the company agreed to acquire chip design firm Silicon Laboratories for $7.5 billion, expanding its capabilities in wireless and connectivity chips for industrial and consumer applications. The deal extends Texas Instruments’ reach into the IoT and edge connectivity segments that are becoming increasingly relevant as industrial automation and physical AI deployments proliferate.

Relevance to Robotics and Industrial AI

For the robotics and industrial AI sector, Texas Instruments’ results serve as a leading indicator of infrastructure demand. Analog chips are embedded in motor controllers, sensor interfaces, power management systems, and edge compute hardware – components that are present in virtually every industrial robot, autonomous vehicle, and physical AI deployment. The 30% growth in Texas Instruments’ industrial segment reflects the same underlying demand that is driving investment across the robotics supply chain more broadly. As humanoid robots, autonomous vehicles, and AI-driven factory systems scale from pilots to production, the analog semiconductor layer scales with them.

BMW and PepsiCo Partner Sereact Raises $110 Million Series B to Scale AI Robotics Software Across Industrial and Humanoid Robots

Stuttgart-based AI robotics software company Sereact has raised $110 million in a Series B led by Headline, with customers including BMW and Daimler Truck already running its vision-language-action models in live production environments.

By Rachel Whitman | Edited by Kseniia Klichova Published:
BMW and PepsiCo Partner Sereact Raises $110 Million Series B to Scale AI Robotics Software Across Industrial and Humanoid Robots
A robot using AI-powered vision and action planning to identify, assess, and pick objects in an industrial warehouse fulfillment environment. Photo: Sereact

Sereact, the Stuttgart-based AI robotics software company, has raised $110 million in a Series B round led by Headline, the international venture firm with offices in Berlin, San Francisco, and Paris. New investors Bullhound Capital, Felix Capital, and Daphni joined alongside existing backers. The round is more than four times the size of the €25 million Series A Sereact closed fifteen months ago, and brings total funding to over $140 million since the company’s 2021 founding. Valuation was not disclosed.

The capital will be used to develop Sereact’s core AI model and to scale deployment across logistics, manufacturing, and humanoid robot platforms.

The Technical Approach

Sereact was founded by Ralf Gulde and Marc Tuscher, both former AI researchers at the University of Stuttgart. The company’s software is built around Vision Language Action Models – AI systems that combine computer vision, natural language understanding, and action planning into a single model. Rather than programming robots for specific object types or environmental configurations, the approach allows robots to perceive their surroundings, interpret instructions, and plan physical tasks adaptively.

The practical implication is that a robot can evaluate whether a planned grip will damage a fragile object before its gripper closes – simulating the consequences of an action before executing it. That capability addresses a structural limitation of conventional industrial robotics, which operate on pre-programmed sequences designed for controlled, predictable environments. Warehouses and manufacturing floors are neither: objects arrive in unpredictable orientations, packaging varies continuously, and edge cases are constant. Sereact’s software is designed to handle that variation without requiring engineers to reprogram the system for each new object type or layout change.

Production Customers at Automotive Scale

The commercial record behind the Series B is substantive. Customers include BMW Group, Daimler Truck, Dutch e-commerce fulfillment company Bol, and logistics specialists MS Direct and Active Ants. The BMW and Daimler Truck deployments are not pilots – they are live production environments where a robot failure carries the economic cost of a line stoppage. Reaching production at that tier of customer is a meaningful distinction in a market where the majority of AI robotics companies are still operating at the demonstration stage.

PepsiCo is also among Sereact’s logistics customers, reflecting deployment across both manufacturing and consumer goods fulfillment use cases.

The Software-First Investment Thesis

Sereact’s positioning – a software intelligence layer deployable across any hardware platform – mirrors the thesis that has made Mobileye valuable in autonomous vehicles and that NVIDIA is pursuing through its Isaac robotics platform. The highest-margin position in robotics is not the robot itself but the intelligence running it.

“Most AI robotics companies are currently hardware-first,” said Johan Brenner of Creandum at the Series A. “What sets Sereact apart is their software-first, foundational approach, which means they have the potential to become the brain of any robot that requires vision and autonomous capabilities.”

The $110 million round makes Sereact’s stated intention to expand into humanoid robot platforms commercially credible. The global humanoid robot market is projected to exceed $38 billion by 2030, and platforms from Tesla, Figure AI, Boston Dynamics, and Unitree moving from controlled tests into commercial production will require adaptable robotics intelligence software at scale. Sereact’s VLAM architecture is designed to run across hardware platforms, positioning it to supply that intelligence layer regardless of which humanoid hardware wins the market.

Leaderdrive Founders Become Billionaires as Humanoid Robot Demand Drives 40% Stock Surge

Shares of Leaderdrive, China’s largest manufacturer of harmonic reducers for robotic joints, have risen 40% over the past year, making founders Zuo Yuyu and Zuo Jing billionaires as humanoid robot shipments surge globally.

By Laura Bennett | Edited by Kseniia Klichova Published:
Leaderdrive Founders Become Billionaires as Humanoid Robot Demand Drives 40% Stock Surge
Precision harmonic reducer gear components used as joints in humanoid robots and industrial robotic arms, manufactured at a Chinese robotics supply chain facility. Photo: Kseniia Klichova / RobotsBeat

The founders of Leader Harmonious Drive Systems, known as Leaderdrive, have become billionaires after shares in the Chinese robotic joint maker rose 40% over the past year. Chairman Zuo Yuyu, 56, and vice chairman Zuo Jing, 61, each hold a 17% stake in the company, giving both a net worth of approximately $1 billion at last Thursday’s closing price of 203.8 yuan, according to Forbes.

Leaderdrive is China’s largest manufacturer of harmonic reducers – precision gear systems that function as joints in robotic arms and humanoid machines – and holds between 30% and 40% of the domestic market, according to J.P. Morgan. Its clients include leading humanoid robot manufacturers Agibot and UBTECH Robotics.

Financial Performance

The company reported revenue of 570.7 million yuan in 2025, up 47% year-on-year, with net profit more than doubling to 124.4 million yuan. Leaderdrive attributed the growth to rapid expansion across both industrial robotics and humanoid robot markets, two segments that advanced simultaneously through 2025 as humanoid platforms moved from pilot deployments into early mass production.

Global humanoid robot shipments rose nearly 480% in 2025 to 13,318 units, according to research firm Omdia. The same firm projects that figure will reach 2.6 million units by 2035 – a trajectory that, if realized, would make harmonic reducer supply one of the most significant bottlenecks in the humanoid robot supply chain.

The Company’s Origins

Leaderdrive was founded in 2011 by Zuo Yuyu, a physics graduate of Nanjing University who began his career in mechanical engineering before pivoting to robotics in 2003. The company spent years developing harmonic reducers at a time when the key technologies were dominated by Japanese manufacturers. “If there’s a secret to our success, it’s the ability to endure and the willingness to invest the time,” Yuyu said in a 2020 interview. Zuo Jing joined as general manager in 2014, and the brothers took the company public on Shanghai’s STAR Market in 2020, raising approximately 1.1 billion yuan in its IPO.

A Broader Supply Chain Wealth Effect

The Zuo brothers are part of a growing cohort of Chinese entrepreneurs whose fortunes are rising with the robotics supply chain. Wang Xinyang, founder of image sensor maker Gpixel Changchun Microelectronics, and Howard Huang, founder of Shenzhen-based 3D vision camera company Orbbec, represent parallel examples of component-layer companies benefiting from the acceleration in humanoid robot demand.

The pattern reflects where value is accumulating in the current phase of the humanoid robot industry. While robot manufacturers compete on AI capability and deployment scale, the component makers supplying precision mechanical systems – reducers, sensors, actuators – face demand that scales with every robot shipped, regardless of which platform wins the market. Leaderdrive’s position as the dominant domestic harmonic reducer supplier places it directly in that supply chain layer.

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Tesla Plans Optimus V3 Unveil Closer to Production, Targeting July-August Window

Elon Musk said Tesla will delay the Optimus V3 unveil until closer to its production date, targeting a July-August window, citing concerns that competitors are conducting frame-by-frame analysis of Tesla’s robotics demonstrations to replicate the technology.

By Daniel Krauss | Edited by Kseniia Klichova Published:
Tesla Plans Optimus V3 Unveil Closer to Production, Targeting July-August Window
A humanoid robot on a dedicated production line at an electric vehicle and robotics manufacturing facility. Photo: Tesla Optimus

Tesla CEO Elon Musk said on the company’s Q1 2026 earnings call that Tesla intends to unveil Optimus V3 closer to the robot’s production start date, targeting a July-August window. The decision represents a change in the company’s approach to product demonstrations, driven by concerns that competitors are replicating Tesla’s robotics technology through detailed analysis of publicly shared footage.

“We’ve found out our competitors literally do a frame-by-frame analysis and copy everything we’re doing,” Musk said. “I think there’s some value to not showing new technology until it’s close to production.”

A New Production Line

Musk noted that the Optimus production line has been rebuilt from scratch. The facility previously used to manufacture the Model S and Model X was repurposed, but Optimus required a fundamentally different manufacturing approach. “Optimus is a completely new product with a completely new production line,” he said.

The decision to consolidate the unveil and production timelines reflects a broader shift in how Tesla is managing its robotics program competitively. Earlier Optimus demonstrations were staged at significant lead times before any production capability existed, a practice that gave competitors extended observation windows. Moving the reveal closer to the production start compresses that window while also allowing Tesla to demonstrate a robot that more accurately reflects what will reach customers.

Investor Concerns and the Autonomy Question

The Optimus update came alongside earnings results that beat market expectations on revenue and free cash flow. However, investor sentiment on Tesla’s longer-term autonomy programs remained mixed. Investor Gary Black of The Future Fund said he expects Tesla’s valuation to come under pressure due to what he described as a slowdown in autonomous vehicle and robotaxi development timelines.

Investor Ross Gerber of Gerber Kawasaki raised a separate concern after Musk acknowledged that vehicles equipped with the Hardware 3 chip would not be capable of achieving unsupervised Full Self-Driving. The admission has implications for owners of older Tesla vehicles who purchased the FSD software option under the expectation that future software updates would eventually enable full autonomy on their hardware.

On the vehicle sales side, Tesla delivered 31,958 units in California in Q1 2026, a decline of more than 10,000 units from the 42,000 delivered in the same quarter of 2025. The Model Y remained the best-selling electric vehicle in the state despite the overall volume decline.

Competitive Context

The frame-by-frame copying accusation reflects the intensity of competition in the humanoid robot segment, where Chinese manufacturers in particular have made significant hardware and software advances over the past two years. Tesla has been among the most public in demonstrating Optimus capabilities, and Musk’s comments suggest the company now views that openness as a competitive liability. The July-August production timeline, if met, would make Optimus V3 one of the earlier next-generation humanoid platforms to enter volume production anywhere in the industry.

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Gartner: Half of New Warehouses in Developed Markets Will Be Human-Optional by 2030

Gartner predicts that 50% of new warehouses built in developed markets by 2030 will be designed as robot-centric facilities where human labor is required only for exception handling, driven by labor shortages, cost pressure, and advances in AI-orchestrated intralogistics.

By Daniel Krauss | Edited by Kseniia Klichova Published:
Gartner: Half of New Warehouses in Developed Markets Will Be Human-Optional by 2030
An automated warehouse facility with robotic picking and sorting systems operating across storage aisles with minimal human presence. Photo: Kseniia Klichova / RobotsBeat

Gartner has forecast that 50% of new warehouses built in developed markets by 2030 will be designed as robot-centric facilities, where human workers are required only for exception handling rather than serving as the operational foundation. The prediction, published this month by the business and technology research firm, reflects sustained pressure from labor shortages, rising labor costs, and the accelerating capability of AI-orchestrated intralogistics systems.

The forecast marks a structural shift in how warehouse design is being approached, moving from retrofitting existing facilities with automation to building environments optimized from the ground up for robotic operation.

What Is Driving the Transition

The underlying pressures are labor-side rather than technology-side. Warehouse workers are increasingly unwilling to perform repetitive manual tasks, and many organizations cannot sustain operations through hiring alone as labor supply tightens and costs rise across most of the year. Chief supply chain officers are responding by accelerating adoption of intralogistics smart robotics – a category that encompasses autonomous mobile robots, robotic picking systems, and AI-driven fleet orchestration platforms.

“AI continuously optimizes warehouse environments in real-time, shifting them from static structures into agile systems that adapt as demand changes,” said Abdil Tunca, Senior Principal Analyst in Gartner’s Supply Chain practice. “This changes how CSCOs think about designing warehouses for scalability, from settings that primarily rely on human labor to environments that maximize the ability to orchestrate robotic fleets.”

Design and Operational Implications

Robot-centric warehouses differ from automated warehouses primarily in how human labor is positioned within operations. In existing automated facilities, robots augment human workers. In the human-optional model, humans handle only exceptions – anomalies, edge cases, and tasks that fall outside robotic capability – while robots manage the volume and routine workflows entirely.

This design shift enables operational advantages beyond labor cost reduction. Autonomous facilities can run with reduced lighting and climate control requirements, reconfigure workflows through software rather than physical infrastructure changes, and reallocate tasks dynamically between robots and humans as staffing levels or demand patterns fluctuate. Robotic pickers can be rerouted to higher-priority orders during peak periods without the scheduling constraints that human shift structures impose.

The intralogistics smart robotics market is highly fragmented, and Gartner notes that most organizations will need to deploy more than one robot type and a multiagent orchestration platform to coordinate heterogeneous fleets effectively. Managing interoperability across robot vendors – each with distinct software stacks and communication protocols – remains one of the primary integration challenges for organizations moving toward robot-centric operations.

Strategic Recommendations

Gartner recommends supply chain executives adopt digital twin and simulation models early in the design process to validate layouts and optimize robotic performance before construction begins. The firm also advises favoring scalable, software-defined robotics platforms over single-purpose automation to reduce obsolescence risk as the technology continues to develop rapidly, and establishing long-term vendor ecosystem partnerships to support future integration and expansion.

The upfront capital cost of robot-centric warehouse construction is higher than traditional facilities. Gartner frames this as a structural investment rather than an operational expense – one that offers compounding cost advantages as order volumes increase, because the marginal cost of additional throughput in an automated facility is substantially lower than adding headcount in a labor-dependent one.

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Foundation Future Industries Wins $24 Million Pentagon Contract for Phantom Humanoid Robot

Foundation Future Industries has secured a $24 million Pentagon contract to test its Phantom humanoid robot for military breach and combat support applications, as the U.S. defense establishment accelerates investment in ground-based autonomous systems.

By Rachel Whitman | Edited by Kseniia Klichova Published:
Foundation Future Industries Wins $24 Million Pentagon Contract for Phantom Humanoid Robot
A heavy-duty humanoid robot designed for military and defense applications, built for strength, autonomous mobility, and operation in high-risk environments. Photo: Foundation Future Industries

Foundation Future Industries has been awarded a $24 million contract by the Pentagon to test its Phantom humanoid robot for military applications. The contract positions the startup as one of a small number of companies receiving direct U.S. Department of Defense funding to develop ground-based humanoid systems, a segment the Pentagon has identified as a competitive priority relative to China’s advances in land autonomy.

The Phantom robot is designed for breach operations – entering and clearing enemy sites in scenarios where sending human soldiers carries significant casualty risk. CEO Sankaet Pathak said the contract is aimed at strengthening U.S. readiness in ground-based autonomous systems, an area where he described China as making meaningful progress alongside its established strength in air-based autonomy.

Hardware Specifications and Development Roadmap

The current Phantom model weighs 176 pounds and moves at 1.7 meters per second. According to the company’s website, the latest version has been engineered to eliminate what it describes as the “robotic” quality of movement, enabling the system to operate more naturally in human-scale environments – a design priority shared across both military and commercial humanoid development.

Pathak indicated that a successor model, Phantom 2, is in development and described it as the strongest humanoid robot built anywhere in the world, including China – a claim the company expects to substantiate with a product announcement in the coming months. Beyond defense, Foundation Future Industries is targeting applications in construction and disaster relief, sectors where the physical demands and environmental conditions align with the robot’s design parameters.

Defense Robotics and the U.S.-China Competition

The contract reflects a broader acceleration in Pentagon investment in physical AI and autonomous ground systems. Chinese robotics manufacturers have demonstrated significant capability advances in humanoid platforms over the past two years, including industrial deployments at scale and public demonstrations of locomotion performance. U.S. defense procurement for ground-based humanoid systems has lagged the pace of investment in aerial autonomy, and contracts like the one awarded to Foundation Future Industries represent an effort to close that gap.

Eric Trump, who serves as chief strategy advisor to the company and has invested in it, framed the program explicitly in competitive terms during a media appearance this week. “We are America First. We have to win this race,” he said.

The $24 million figure covers testing rather than full production procurement, meaning the contract is an evaluation phase rather than a commitment to large-scale deployment. How the Phantom performs against the Pentagon’s testing criteria will determine whether the program advances to further development funding or operational contracts.

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