Tesla and Nvidia are pouring billions into Samsung Electro-Mechanics to boost production of advanced AI chip parts known as FC-BGA substrates. Nvidia will pay roughly 2.6 trillion won and Tesla about 1.1 trillion won to build new factories in Sejong and Busan, South Korea. These substrates connect powerful processors to circuit boards and play a critical role in AI systems. The investment reflects growing demand for AI infrastructure and the need to keep up with global chip supply requirements.
Vistra Corp. redeemed all one million shares of its 8.0% Series A preferred stock for US$1 billion, removing a fixed cost layer and potentially freeing cash for growth projects. Vistra holds long-term nuclear power contracts with Meta tied to AI data center demand. Analysts forecast revenue reaching US$26.0 billion and earnings hitting US$4.1 billion by 2029, driven by AI-related energy needs.
Jabil has formed a 50:50 data center hardware joint venture with Adani Enterprises and is seeing strong AI revenue growth. The company guides AI revenue from roughly US$9 billion in fiscal 2025 to US$22.1 billion by fiscal 2027. Despite trading at about 27.1x earnings, some analysts consider the stock undervalued at around 36% below its fair ratio benchmark.
Coherent faced a stock drop of over 30% amid concerns about customer funding for AI infrastructure projects, yet demand from AI data centers continues to influence its revenue and margins. Super Micro's strong AI server outlook supports demand for Coherent's optical connectivity components. Analysts forecast revenue of US$19.3 billion and earnings of US$3.5 billion by 2029 if growth assumptions hold.
Lightspeed Commerce has seen its stock fall 87.1% over five years even as it rolls out AI-driven features that automate retail tasks and connect payments, logistics, and marketing. The stock trades at about 1.2x P/S compared to the software industry average of 2.9x. Some analysts believe the AI tools are undervalued, while others point to ongoing losses and cash flow concerns.
OpenAI's use of thousands of archived images to train AI models prompted the Bodleian Libraries at Oxford to revise their AI policy in September. The university had partnered with OpenAI in March 2025, raising concerns about privacy and academic integrity. The updated policy includes an eight-point plan emphasizing human oversight and responsible AI use, with a commitment to not use copyrighted material under legal restrictions for AI training.
Companies are increasingly rehiring workers they previously replaced with AI because automation struggles with human judgment, empathy, and complex decision-making. A University of Toronto professor notes that AI serves as a tool supporting humans rather than replacing them. One company found its AI customer service could not handle the nuances of human emotions, leading to a renewed mix of AI and human workers.
NAB CEO Andrew Irvine faces calls to clarify the role of AI in the bank's 2,500 job losses. NAB maintains there is no link between the redundancies and AI, citing economic headwinds including high inflation, rising interest rates, and weak retail credit growth. Meanwhile, a Walmart employee criticizes a new AI scheduling system for creating grueling shifts with consecutive days of work and frequent clopening shifts, pushing some workers to quit.
California candidates are addressing voter concerns about AI on the campaign trail, with events in Sacramento focusing on kids' online safety and tech issues in major House races. Separately, Democrats are proposing new economic rules to address fears about rapid AI development and data centers, setting the stage for a major lobbying battle as tech companies worry about higher taxes amid Americans' concerns about an affordability crisis.
Key Takeaways
- Tesla and Nvidia invest billions in Samsung Electro-Mechanics for FC-BGA substrate production, with Nvidia paying ~2.6 trillion won and Tesla ~1.1 trillion won for new factories in South Korea.
- Vistra redeems US$1 billion in preferred stock, freeing cash for growth as it holds nuclear power contracts with Meta tied to AI data center demand.
- Vistra analysts project revenue of US$26.0 billion and earnings of US$4.1 billion by 2029, driven by AI-related energy demand.
- Jabil's AI revenue is guided to grow from ~US$9 billion in fiscal 2025 to US$22.1 billion by fiscal 2027 through a 50:50 joint venture with Adani Enterprises.
- Coherent's stock dropped over 30% on AI funding concerns, but analysts forecast revenue of US$19.3 billion and earnings of US$3.5 billion by 2029.
- Lightspeed Commerce stock has fallen 87.1% over five years despite rolling out AI-driven retail features, trading at 1.2x P/S versus the software industry average of 2.9x.
- Oxford's Bodleian Libraries revised their AI policy after OpenAI used thousands of archived images for model training, emphasizing human oversight and responsible AI use.
- Companies are rehiring workers replaced by AI because automation cannot handle complex decision-making, empathy, and nuanced human interactions.
- NAB CEO faces scrutiny over AI's role in 2,500 job cuts, while Walmart workers criticize AI scheduling systems for grueling and consecutive shifts.
- California candidates address AI concerns on the campaign trail as Democrats propose new tax rules targeting AI development, sparking a lobbying battle with tech companies.
Lightspeed Commerce stock drops 87% as AI features roll out
Lightspeed Commerce (TSX:LSPD) has seen its stock fall 87.1% over five years. New AI driven features automate retail tasks and connect payments, logistics and marketing. The stock trades at about 1.2x P/S, below the software industry average of 2.9x. Some analysts see the AI tools as undervalued, while others worry about ongoing losses and cash flow concerns.
Vistra redeems preferred stock as AI power demand grows
Vistra Corp. redeemed all 1 million shares of its 8.0% Series A preferred stock for US$1 billion. The move removes a fixed cost layer and may free cash for growth projects, dividends or buybacks. Vistra has long term nuclear power contracts with Meta tied to AI data center demand. Analysts expect revenue to grow to US$26.0b and earnings to reach US$4.1b by 2029.
Jabil stock looks cheap despite AI hardware joint venture
Jabil (JBL) has gained about 363.8% over five years and trades at roughly 27.1x earnings. It formed a 50:50 data center hardware joint venture with Adani Enterprises. AI revenue is guided to grow from about US$9b in fiscal 2025 to US$22.1b by fiscal 2027. Some analysts view the stock as undervalued at around 36% below its fair ratio benchmark.
Coherent faces AI funding delays but sees strong long term demand
Coherent (COHR) dropped over 30% amid concerns about customer funding for AI infrastructure projects. Demand from AI datacenters has still influenced its revenue and margins. Analysts forecast revenue of US$19.3b and earnings of US$3.5b by 2029, based on strong growth assumptions. Super Micro's strong AI server outlook supports demand for optical connectivity components.
NAB CEO must explain AI role in 2500 job cuts
NAB chief executive Andrew Irvine faces calls to clarify the role of artificial intelligence in the bank's 2500 job losses. NAB says there is no link between the redundancies and AI. The bank operates amid economic headwinds including high inflation, rising interest rates and weak retail credit growth. Brokers now arrange 8 in 10 home loans.
Tesla and Nvidia fund Samsung AI chip production
Tesla and Nvidia are investing billions in Samsung Electro-Mechanics to produce advanced AI chip parts called FC-BGA substrates. Nvidia will pay about 2.6 trillion won and Tesla will contribute roughly 1.1 trillion won. The money will help build new factories in Sejong and Busan, South Korea. These substrates connect powerful processors to circuit boards and are critical for AI systems. The investment aims to keep up with growing demand for AI infrastructure.
Bodleian Library revises AI policy after controversy
The Bodleian Libraries at Oxford updated their AI policy in September after a Guardian report revealed OpenAI used thousands of archived images to train AI models. The university had partnered with OpenAI in March 2025, raising concerns about privacy and academic integrity. The new policy includes an eight-point plan emphasizing human oversight and responsible AI use. The library stressed that copyrighted material under legal restrictions will not be used for AI training. The university also committed to meeting its sustainability goals.
Companies bring back workers replaced by AI
Many companies are rehiring workers they previously replaced with AI because automation cannot handle all job tasks. While AI can manage routine work, it struggles with human judgment, empathy, and complex decision-making. A University of Toronto professor said AI is a tool that supports humans but does not replace them. One company found its AI customer service could not understand the nuances of human emotions. These businesses now use a mix of AI and human workers to handle different types of tasks.
AI researcher teaches next generation in Jerusalem
Prof. Claudia V. Goldman, an associate professor at Hebrew University Business School in Jerusalem, uses AI to solve real-world problems. She moved to Israel from Argentina at age 16 and has worked at several universities and companies including Samsung Telecom and General Motors. Goldman holds 24 patents and has published over 50 academic papers. She is married to Prof. Roy Shenhar, a professor at the Institute of Chemistry. She focuses on training the next generation of students in data science and AI skills.
Walmart worker criticizes AI scheduling system
A Walmart employee says a new AI scheduling system creates difficult work shifts with no consecutive days off. The worker described being scheduled for six or seven shifts in a row and frequent clopening shifts where they close late and open early. When the worker tried to adjust availability, they were told they would be moved to part time. Commenters agreed the AI scheduler makes life hard and some said it pushes workers to quit. One worker with nearly 12 years of experience left after the scheduling changes.
California candidates address AI concerns on the campaign trail
Candidates in California are responding to voters' worries about artificial intelligence. A recent event in Sacramento focused on kids' online safety. The event also provided a chance to discuss tech issues with candidates in major House races. These conversations highlight how AI is becoming a key topic in politics.
Lobbying battle begins over taxing artificial intelligence
Democrats are proposing new economic rules to address fears about rapid AI development and data centers. This plan comes as Americans worry about an affordability crisis caused by an AI takeover. At the same time, tech companies are worried about facing higher taxes. A major lobbying fight is expected over these tax proposals.
Sources
- Is Lightspeed Commerce (TSX:LSPD) Cheap After Its AI Rollout?
- Is AI Power Demand Reset Altering The Investment Case For Vistra Stock?
- Can Jabil (JBL) Still Be A Bargain After Its AI Venture?
- Did AI Funding Delays Just Shift Coherent's (COHR) Investment Narrative?
- NAB chief executive Andrew Irvine must come clean on the role of artificial intelligence in the bank’s 2500 job losses
- Tesla and Nvidia just found another AI bottleneck
- Bodleian updates its AI policy after Guardian exposé
- Reversing course: Workers replaced by AI are being asked back
- She made aliyah at 16 - today, she's teaching the next generation about AI
- Walmart worker says new AI scheduler favors 'clopening' shifts and no 2 days off in a row
- How California candidates are talking about AI
- The lobbying fight to come on taxing AI
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