TOKYO: Top Japanese automakers said Wednesday they were scrambling to assess the safety of vehicles containing products from Kobe Steel, which has admitted falsifying quality data in a growing scandal.
Toyota, Nissan, Honda, Mitsubishi Motor, Subaru and Mazda joined aviation firms and defense contractors Mitsubishi Heavy Industries, Kawasaki Heavy Industries and IHI that have used the steelmaker’s products.
The brewing crisis is the latest in a string of quality control and governance scandals to hit major Japanese businesses in recent years, undermining the country’s reputation for quality.
Japan’s famous “Shinkansen” bullet trains also used Kobe Steel’s aluminum, as did high-speed trains in Britain, according to engineering firm Hitachi.
“Products used (for both Japanese and British trains) met safety standards. But they did not meet the specifications that were agreed between us and Kobe Steel,” a Hitachi spokesman told AFP.
Honda spokesman Tamon Kusakabe said: “As to safety, we are still studying (a possible) impact.”
“At this point, we don’t see a critical problem as we have our own safety inspection on materials we use. But we are still investigating and it’s premature to say” if recalls will be necessary.
Auto giant Toyota has already said Kobe Steel supplied materials to one of its Japanese factories, which used them in hoods, rear doors and surrounding areas of certain vehicles.
The industry ministry has pressed Kobe Steel to work with its clients, spread over a wide range of industries, to conduct urgent safety analysis.
Kobe Steel also admitted Wednesday that it was in talks with one client who received steel powder that did not match specifications.
However, it declined comment on a media report that materials used in semiconductors were also impacted by the scandal.
The Kobe Steel scandal broke on Sunday when the manufacturer first admitted falsifying data linked to the strength and quality of products.
An internal probe has revealed that data were fabricated for about 19,300 tons of aluminum products, 2,200 tons of copper products and 19,400 units of aluminum castings and forgings shipped to clients between September 2016 through August 2017.
The stock dived 22 percent on Tuesday to finish at ¥1,068 (SR35.5), its maximum daily loss limit — wiping almost one billion dollars off the firm’s market value.
On Wednesday it plunged a further 17.8 percent to close at ¥878.
The company said the fabrications, which might have started a decade ago, could affect products sent to as many as 200 companies but it remained unclear whether the scandal affected product safety.
The problems at Kobe Steel are an additional headache for Nissan, which has already announced a recall of more than a million vehicles in the domestic market over a certification issue.
And it is just the latest in a series of affairs to embarrass Japanese industry.
Airbag maker Takata went bankrupt after defective products were linked to 16 deaths and scores of injuries worldwide.
Mitsubishi Motors last year admitted that it had been falsifying mileage tests for years.
And electronics giant Toshiba has admitted that its executives had pressured underlings to cover up weak results for years after the 2008 global financial meltdown.
Japan steel scandal grows as more carmakers hit
Japan steel scandal grows as more carmakers hit
From barrels to bytes: How AI is powering Saudi Arabia’s industrial transformation
- Inside the Kingdom’s drive to merge energy expertise with digital intelligence
RIYADH: Artificial intelligence is moving beyond concept to become a cornerstone of Saudi Arabia’s energy sector, reshaping how oil, gas, and power systems are managed and optimized.
Industry giants like Saudi Aramco are embedding smart systems into their operations to boost efficiency, reliability, and sustainability—key pillars in the Kingdom’s efforts to modernize its industrial base and diversify its economy.
According to the International Energy Agency, oil and gas companies were among the first to adopt digital technologies. The agency estimates that applying AI to power plant operations and maintenance could save up to $110 billion annually by 2035 through reduced fuel consumption and maintenance costs.
For Saudi Arabia, this technological momentum offers both a blueprint and an opportunity. Under Vision 2030, integrating data and intelligent automation is transforming how energy is explored, refined, and delivered.
At the heart of Saudi Aramco’s operations is a digital transformation strategy centered on artificial intelligence, big data, and the industrial Internet of Things. These technologies are applied at every stage of production—from mapping reservoirs and optimizing drilling to improving efficiency and safety.
AI also underpins Aramco’s Digital Transformation Program, which develops in-house smart tools and data-driven platforms designed to cut emissions, reduce costs, and enhance performance while ensuring a reliable energy supply.
A prime example is the Upstream Innovation Center, where engineers have implemented AI solutions that reduce fuel gas use in boilers, improve efficiency, and detect potential leaks through fiber-optic monitoring. At the Khurais oil field, more than 40,000 sensors monitor approximately 500 wells via an Advanced Process Control system—the first of its kind for a conventional oil field at Aramco. Digitization at Khurais has increased production by around 15 percent, doubled troubleshooting speed, and lowered both costs and environmental impact.
These advances illustrate how Aramco’s network is evolving into a connected, adaptive model, blending traditional engineering expertise with digital intelligence.
DID YOU KNOW?
• AI could save up to $110 billion a year in global power plant fuel and maintenance costs by 2035.
• Advanced Process Control enables real-time monitoring of hundreds of oil wells in the Kingdom.
• AI-powered simulations now replace weeks of manual analysis, enabling faster operational decisions.
As Saudi Arabia develops an AI-driven energy economy, the King Abdullah University of Science and Technology is bridging the gap between digital innovation and industrial application.
Bernard Ghanem, chair of the Center of Excellence for Generative AI, said the university is working with Saudi Aramco to develop AI systems that predict the chemical properties of materials and accelerate research into direct air capture technologies for carbon dioxide removal.
He told Arab News that KAUST is partnering with SABIC and ACWA Power to apply AI in process optimization and materials discovery, turning lab-scale research into practical solutions for the energy sector.
Ghanem said KAUST’s generative AI materials program combines a robotic chemistry lab with its AI Chemist foundation model, a system that accelerates the development of catalysts, battery materials, and membranes for clean energy applications.
“This is our lab of the future, automating experimentation and speeding up energy innovation,” he said.
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Mani Sarathy, professor of chemical engineering at KAUST, noted that AI-based reinforcement learning tools are already improving efficiency in hydrocarbon refineries by enhancing simulations and shortening analysis cycles.
“AI is helping energy companies run complex simulations that once took weeks, enabling faster and more precise operational decisions,” he told Arab News.
Sarathy added that the next phase will combine automation with expert oversight. Hybrid human-AI control systems, he explained, are likely to become standard in critical operations, balancing digital autonomy with safety and reliability as Saudi industries expand AI deployment.
These efforts highlight KAUST’s growing role in transforming AI from an academic discipline into a driver of industrial innovation in Saudi Arabia’s energy sector under Vision 2030.
Meanwhile, Skeleton Technologies is bringing AI-driven energy storage solutions to Saudi partners, solutions that are already reshaping industrial systems across Europe and beyond. In Europe, the company combines artificial intelligence and advanced materials to reduce energy use and improve efficiency in data centers, electricity grids, and defense systems.
“Our solutions allow AI infrastructure to consume less electricity and reduce grid connection needs, making AI operations more energy efficient,” Arnaud Castaignet, vice president of government affairs and strategic partnerships at Skeleton, told Arab News.
Inside its factories, Skeleton uses AI-driven digital twin models, created with Siemens Digital Industries, to simulate production, optimize operations, and enable predictive maintenance, Castaignet said. At the core of its technology is curved graphene, a proprietary carbon material that gives Skeleton’s supercapacitors exceptional conductivity.
“It allows our supercapacitors to charge and discharge within microseconds, around 12 microseconds, something batteries cannot do,” Castaignet said.
The company’s flagship Graphene GPU system, built on these supercapacitors, cuts energy use in AI data centers by up to 40 percent and reduces grid requirements by 45 percent while boosting computing performance. The devices are free of lithium, nickel, and cobalt, relying instead on graphene derived from silicon carbide—essentially sand—processed entirely in Germany.
“To build sustainable AI infrastructure, you need energy-saving hardware as well as renewable power,” Castaignet added. “Our Graphene GPU shows both can work together.”
As Saudi Arabia continues linking engineering expertise with digital intelligence, its industrial progress is measured not only in barrels of oil but also in bytes, data, and the smart systems shaping its energy future.
