Toyota Industries Sinks after Parent's Takeover Bid Misses Expectations

A Toyota Logo is seen at a Toyota dealership in Zaventem, Belgium, November 25, 2022. REUTERS/Johanna Geron/File Photo
A Toyota Logo is seen at a Toyota dealership in Zaventem, Belgium, November 25, 2022. REUTERS/Johanna Geron/File Photo
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Toyota Industries Sinks after Parent's Takeover Bid Misses Expectations

A Toyota Logo is seen at a Toyota dealership in Zaventem, Belgium, November 25, 2022. REUTERS/Johanna Geron/File Photo
A Toyota Logo is seen at a Toyota dealership in Zaventem, Belgium, November 25, 2022. REUTERS/Johanna Geron/File Photo

Investors gave a thumbs-down to Toyota Motor's $33 billion take-private offer for Toyota Industries on Wednesday, highlighting concerns minority shareholders would be short-changed in a landmark restructuring for Japan Inc.

Shares of Toyota Industries, a key Toyota Group company, fell 12% in Tokyo trade a day after the world's top-selling automaker unveiled plans to take the subsidiary private. The complex 4.7 trillion yen ($33 billion) transaction includes an offer price of 16,300 yen a share for Toyota Industries.

While that represents a 23% premium to the price before word of the deal broke in April, it is well below the 18,400 yen price before the offer was formally announced. Shares closed at 16,205 yen on Wednesday.

"To be clear, we welcome the attempt to clear up the parent-subsidiary governance issue. We don't like the price," said David Mitchinson, founding partner and chief investment officer of Zennor Asset Management, which owns Toyota Industries shares, Reuters reported.

When asked if Zennor would tender its shares, he said: "We will have to see how this develops as there seems strong opposition from many shareholders".

The deal will see a number of Toyota Group companies unwind cross-shareholdings, something Japanese regulators and the Tokyo Stock Exchange have long urged for better governance.

Toyota Industries has been one of Japan's most prominent examples of so-called "parent-child listings", where both a parent company and its subsidiary are listed. Governance experts say such cases are inherently unfair to minority shareholders and a drag on corporate value.

Still, the transaction comes up short in terms of corporate governance, as it both undervalues Toyota Industries' substantial real estate holdings and strengthens the founding Toyoda family's control over the broader group, market participants said.

"There's huge hidden asset value in the land and other holdings at Toyota Industries. And the price should have been much higher," Nicholas Benes, a governance expert and the CEO of the Board Training Institute of Japan, told a briefing on Wednesday.

The deal was a "prime example" of a squeeze-out of minority shareholders at an unfair price by founders and management, he said.

In a statement, Toyota Motor said the interests of Toyota Industries' minority shareholders were being considered. "Taking into account shareholder returns and the tax benefits for Toyota Industries, we have adopted a share buyback scheme" through a tender offer, it said.

It said the deal was part of a broader realignment of capital structures within the Toyota Group as it moved toward becoming a mobility company.

A new holding company will be set up for the deal. Group real estate company Toyota Fudosan will invest 180 billion yen, while Akio Toyoda, Toyota Motor's chairman, will invest 1 billion yen. Toyota Motor will invest 700 billion yen in non-voting preferred shares.

Media reports had indicated the tender offer would be around $42 billion, a substantial premium to the actual offer.

Toyota Motor and group companies Aisin, Denso and Toyota Tsusho will all sell their shares in Toyota Industries and acquire their own shares now held by it.

Toyota owned about 24% of Toyota Industries as of September last year, while Toyota Industries held around 9% of the automaker and more than 5% of Denso.

Toyota Industries, formerly Toyoda Automatic Loom Works, was founded in 1926 to make automatic looms. An automotive division within the company was set up and later spun off as Toyota Motor.



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.