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Monosodium glutamate (MSG) products of the Ajinomoto food company displayed at a supermarket in Tokyo on January 20, 2020 (Behrouz Mehri/Getty Images)

What does delicious Asian food seasoning have to do with a potential bottleneck for AI chips?

Japanese food flavoring company Ajinomoto, which commercialized MSG, also makes a key component in AI chips. It’s having trouble scaling to meet demand.

Deep within the supply chain for advanced AI chips sits an unlikely company that may be the source of a looming global bottleneck. It’s already the source of some really delicious food.

Ajinomoto is a 117-year-old Japanese food flavoring company that made its name selling monosodium glutamate. You know it better as MSG, the substance that gives some food its umami taste.

Today, the company sells a wide range of food-related goods, healthcare products, and industrial materials — and that’s where Ajinomoto’s business intersects with the worldwide frenzy for AI chips.

One of the industrial materials Ajinomoto sells is Ajinomoto Build-up Film (ABF), a resin-based insulation film that sits in the sandwich of layers in today’s increasingly dense computing chips. Some investors are pushing the company to seize the moment and significantly raise prices on the product, taking advantage of its dominant position in the niche market, where it reportedly has a 95% market share.

But being the sole supplier of a key component in one of the most in-demand pieces of AI technology is also raising fears that Ajinomoto won’t be able to scale fast enough to meet soaring demand.

Last month, Ajinomoto said it would invest over $150 million by 2030 to increase ABF manufacturing capacity by 50%, to ramp up to meet demand. Ajinomoto President Shigeo Nakamura told Nikkei Asia that the company is preparing to continue to scale production, and expects sales of the product to grow steadily:

“We expect sales of electronics materials, mainly ABF, to grow at an annual rate of more than 10% through 2030. We will continue to meet needs by evolving ABF to a more highly functional form that supports high-performance semiconductors in the long term.”

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42

Forty-two is the answer to life, the universe, and everything in Douglas Adams’ classic “The Hitchhiker’s Guide to the Galaxy.” It’s also the number of unsupervised Robotaxis Tesla has on the road in Texas, the only state where it’s operating autonomous service, according to records from a newly required government database in the state.

That’s much lower than CEO Elon Musk had hoped, as the company struggles to ready its camera-only autonomous vehicles for commercial scale. In 2025, Musk said that the service would be available to “half the population of the US by the end of the year.”

Even smaller competition has more: Avride has 317 and Nuro has 47. Meanwhile, Tesla’s chief rival, Alphabet subsidiary Waymo, has 577 in operation in the state. Nationwide, Waymo’s fleet currently numbers more than 3,000.

Unfortunately for Tesla, figuring out how to actually scale its robotaxi fleet remains the ultimate question.

INDIA-TECHNOLOGY-AI-DIPLOMACY

Anthropic raises $65 billion at a $965 billion valuation, releases a more “honest” Claude Opus 4.8

Anthropic’s monster $965 billion valuation puts it firmly ahead of OpenAI’s $850 billion valuation as the rivals head toward expected IPOs later this year.

tech
Jon Keegan

Report: Microsoft tries to get back in the AI coding game with new model

Microsoft wants to fight its way back into the AI coding field by releasing a new model next week at its annual Microsoft Build developer conference, The Information reports.

The company is expected to announce a new family of models as Microsoft AI CEO Mustafa Suleyman seeks to shore up the company’s own AI offerings and gradually wean it off OpenAI’s technology over the remainder of their $13 billion partnership.

Microsoft was initially well positioned to meet software developers with AI-enhanced tools. It owns GitHub, the most popular platform for hosting and sharing code, and GitHub’s Copilot AI-powered coding tool was released months before OpenAI’s ChatGPT debuted in 2022.

But it fumbled one of the biggest first-mover advantages in history as Anthropic’s Claude Code, OpenAI’s Codex, and Cursor rolled out coding tools that developers loved.

Microsoft was initially well positioned to meet software developers with AI-enhanced tools. It owns GitHub, the most popular platform for hosting and sharing code, and GitHub’s Copilot AI-powered coding tool was released months before OpenAI’s ChatGPT debuted in 2022.

But it fumbled one of the biggest first-mover advantages in history as Anthropic’s Claude Code, OpenAI’s Codex, and Cursor rolled out coding tools that developers loved.

Ojai outside

Waymo to launch free robotaxi rides in its new Ojai vans

The new vehicles are less expensive — which is important for the service to really scale.

Rani Molla5/28/26
tech
Rani Molla

Report: Tesla’s Robotaxi trainers don’t think it’s ready for prime time

If you listen to Tesla CEO Elon Musk, you might think rapid expansion of the company’s Robotaxi service is right around the corner. If you listen to the people tasked with reviewing the footage and training its AI, that future is a long way off.

An in-depth report from Reuters that interviewed nine former “data labelers” and a former Tesla self-driving engineer paints a picture of highly massaged safety stats, vehicles failing to execute basic driving functions, and a behind-the-scenes reality where the supposedly “autonomous” tech relies heavily on the exact kind of localized, labor-intensive mapping and training Musk has publicly mocked. The skepticism runs so deep that one former insider told reporters they wouldn’t ride in a Robotaxi “if you f---ing paid me.”

Currently, the service is operating about 30 unsupervised vehicles across three Texas cities — a much more circumscribed execution than Musk had initially planned. The problem, for Tesla, is that the success of its Robotaxi business is now integral to the company’s value proposition.

An in-depth report from Reuters that interviewed nine former “data labelers” and a former Tesla self-driving engineer paints a picture of highly massaged safety stats, vehicles failing to execute basic driving functions, and a behind-the-scenes reality where the supposedly “autonomous” tech relies heavily on the exact kind of localized, labor-intensive mapping and training Musk has publicly mocked. The skepticism runs so deep that one former insider told reporters they wouldn’t ride in a Robotaxi “if you f---ing paid me.”

Currently, the service is operating about 30 unsupervised vehicles across three Texas cities — a much more circumscribed execution than Musk had initially planned. The problem, for Tesla, is that the success of its Robotaxi business is now integral to the company’s value proposition.

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