Goldman Sachs is pulling back on AI tool access for its workforce. Traders and bankers are now barred from using advanced AI coding tools like Anthropic's Claude and Microsoft's GitHub. Only engineers retain access, according to spokesperson Nick Carcaterra. The bank said it completed an internal review of productivity and risk, and concluded that limiting these tools to specific roles better serves those goals. Earlier this year, staff in Hong Kong were also restricted from using Anthropic's Claude.
In other AI-related corporate developments, Shopify CEO Tobi Lütke converted his wine cellar into a personal AI setup. The Dell GB300 server runs on Nvidia's Grace Blackwell Ultra platform and uses Lütke's Fitbit, calendar, and location data to identify which meetings cause him the most stress. He shared those findings with the people involved and encourages Shopify employees to use AI before requesting additional staff.
On the factory floor, an IFS Industrial Index survey of 2,275 leaders and workers across 14 countries found that frontline teams are driving real AI gains. Over 90 percent of organizations reported improvements, including 93 percent better first-time-right performance and 90 percent higher asset availability. Still, 41 percent of executives focused on improving their own AI literacy rather than supporting those workers. The report warns that without proper governance and safety frameworks, rapid adoption could create serious risks.
Japan's Kyocera reported a 56.4 percent year-on-year rise in operating profit to 65.61 billion yen for the first half. The chip component maker benefited from strong AI-driven demand for semiconductor packages and capacitors used in data centers. Sales revenue grew 8.8 percent, and the company raised its annual sales forecast to 2.12 trillion yen. A weaker yen and high-value products also helped profitability.
Deep Principle released Hydrogen-1.0, a 753B parameter open-weight model targeting chemistry, materials science, and life sciences. Built by post-training Z.ai's GLM-5.3 on lab records and discovery data, it scored 38.3 percent on FrontierScience-Research, outperforming GPT-6-Astra's 33.3 percent. The model runs on 8 GPUs, carries a 1M-token context window, and uses an MIT license.
Shinhan Securities will launch the Shinhan Premier AI Finder on its Shinhan SOL Securities app in November. Customers can type investment ideas in everyday language, and the AI suggests screening criteria. Users can adjust conditions like price and trading volume, then test strategies against historical data. Final orders still require customer confirmation.
A new study examines computational arbitrage in AI model marketplaces, where intermediaries buy inference from cheaper models and resell it for profit. The researchers proved this problem is generally NP-hard to solve optimally, but efficient solutions exist when model performance shows diminishing returns. At optimal allocation, every funded model delivers equal marginal utility per dollar.
Artificial Intelligence Technology Solutions launched a campaign called SARA #OpenToWork on LinkedIn, introducing SARA, an agentic AI security platform. SARA can evaluate security events, manage workflows, escalate alerts, stream video, and document incidents. The platform has won multiple SIA New Product Showcase Awards, including the 2026 Commercial Monitoring Solutions award.
A reporter tested 12 AI agents to see if they could serve as a personal chief of staff. Unlike older chatbots, these agents can take action on their own, such as researching online, making reservations, filling out forms, and reviewing documents. Some agents like Dots, Slashy, and Hark stood out as early favorites, with pricing ranging from free to $100 per month.
Despite concerns about Big Tech's AI investments and economic headwinds like inflation and rising interest rates, U.S. markets have performed well in 2026. Three stocks with strong sales growth worth considering are Element Solutions Inc. (ESI), RTX Corporation (RTX), and Herc Holdings Inc. (HRI). Selection criteria included five-year historical sales growth, cash flow over $500 million, and operating margins above 5 percent.
Key Takeaways
- Goldman Sachs restricts access to Anthropic's Claude and Microsoft's GitHub to engineers only, banning traders and bankers from using these AI coding tools after a productivity and risk review.
- Shopify CEO Tobi Lütke built a personal AI server using Nvidia's Grace Blackwell Ultra platform to analyze meeting-related stress via his Fitbit and calendar data.
- An IFS survey of 2,275 workers across 14 countries finds factory floor teams lead AI adoption, but 41 percent of executives focus on their own AI literacy instead of supporting frontline workers.
- Kyocera's operating profit jumped 56.4 percent year-on-year to 65.61 billion yen, driven by AI-driven demand for semiconductor packages and capacitors in data centers.
- Deep Principle's Hydrogen-1.0 is a 753B parameter open-weight scientific AI model scoring 38.3 percent on FrontierScience-Research, outperforming GPT-6-Astra's 33.3 percent.
- Shinhan Securities will launch the Shinhan Premier AI Finder in November, letting users type investment ideas in everyday language and test strategies against historical data.
- A study proves computational arbitrage in AI model marketplaces is generally NP-hard to solve optimally, though efficient solutions exist when model performance shows diminishing returns.
- Artificial Intelligence Technology Solutions launched SARA, an agentic AI security platform on LinkedIn, capable of evaluating security events, managing workflows, and streaming video.
- A reporter tested 12 AI agents for personal assistant duties; Dots, Slashy, and Hark emerged as early favorites, with pricing ranging from free to $100 per month.
- Element Solutions Inc. (ESI), RTX Corporation (RTX), and Herc Holdings Inc. (HRI) are recommended as strong sales growth stocks for 2026, with criteria including cash flow over $500 million and operating margins above 5 percent.
Goldman Sachs limits AI tools for traders and bankers
Goldman Sachs is restricting traders and bankers from using advanced AI coding tools like Anthropic's Claude and Microsoft GitHub. Only engineers will still have access to these tools. The change came after an internal review of productivity and risk. Some traders had used the tools to monitor client trading flows and model market conditions.
Goldman Sachs cuts AI coding tools access for staff
Goldman Sachs has removed most employees from advanced AI coding tools like Anthropic's Claude Code and Microsoft's GitHub. Only engineers can still use them according to spokesperson Nick Carcaterra. The firm said the experimentation phase is over and it is now limiting the tools to specific roles.
Goldman Sachs bans traders and bankers from AI tools
Goldman Sachs has banned its traders and bankers from using some AI tools after reviewing productivity and risk concerns. Management decided that using these tools was not a good use of their time. The new restrictions are part of a broader effort by the bank to improve productivity and reduce risk.
Goldman Sachs restricts AI tools for non-engineers
Goldman Sachs is limiting access to Anthropic's Claude Code and Microsoft's GitHub to engineers only. Some traders were frustrated because they used the tools for tracking client trades and simulating market shifts. Earlier this year the bank also restricted staff in Hong Kong from using Anthropic's Claude.
Kyocera profit jumps 56% on AI demand
Japan's Kyocera reported a 56.4% year-on-year rise in operating profit to 65.61 billion yen for the first half. The chip component maker benefited from strong AI-driven demand for semiconductor packages and capacitors used in data centers. Sales revenue grew 8.8% and the company raised its annual sales forecast to 2.12 trillion yen.
Kyocera raises sales forecast as AI demand drives profit growth
Kyocera reported strong first-half fiscal 2026 results on November 2, 2026. Revenue rose 8.8 percent to about $6.8 billion and operating profit jumped 56.4 percent to about $415.6 million. Demand for semiconductor packages and MLCCs for AI data centers drove the gains. The company raised its full-year revenue forecast by $1.3 billion but kept its operating profit forecast unchanged. A weaker yen and high-value products also helped profitability.
Deep Principle launches Hydrogen-1.0 open-weight scientific AI model
Deep Principle released Hydrogen-1.0, a 753B parameter open-weight model for chemistry, materials science and life sciences. It was built by post-training Z.ai's GLM-5.3 on lab records and discovery data. The model reports 38.3 percent on FrontierScience-Research, beating GPT-6-Astra's 33.3 percent. It uses an MIT license and can run on 8 GPUs. The model has 1M-token context and targets scientific research workflows.
Shinhan Securities adds AI stock screening to its trading app
Shinhan Securities will launch the Shinhan Premier AI Finder on the Shinhan SOL Securities app in November. The tool lets customers type investment ideas in everyday language, and AI suggests screening criteria. Users can adjust conditions like price and trading volume, then test strategies against historical data. The service supports the full process from idea development to real-time stock finding. Final orders still require customer confirmation.
Study finds computational arbitrage is hard but manageable
A new study examines computational arbitrage in AI model marketplaces, where intermediaries buy inference from cheaper models and resell it for profit. The researchers proved this problem is generally NP-hard to solve optimally. However, they found efficient solutions exist when model performance shows diminishing returns. The study also reveals that at optimal allocation, every funded model delivers equal marginal utility per dollar. This research could shape how large-scale AI model marketplaces operate.
Shopify CEO converts wine cellar into AI server room
Shopify CEO Tobi Lütke turned his wine cellar into an AI setup using a Dell GB300 server based on Nvidia's Grace Blackwell Ultra platform. The system runs AI models locally using his Fitbit, calendar and location data. Lütke used it to identify which meetings cause him the most stress by analyzing heart rate against his schedule. He shared this discovery with the people involved. He also encourages Shopify employees to use AI before requesting more staff.
RAD launches SARA AI security campaign on LinkedIn
Artificial Intelligence Technology Solutions launched a campaign called SARA #OpenToWork on LinkedIn. The campaign introduces SARA, an agentic AI security platform, to security and remote monitoring providers. A recorded interview features CEO Steve Reinharz discussing SARA's abilities. SARA can evaluate security events, manage workflows, escalate alerts, stream video, and document incidents. SARA has won multiple SIA New Product Showcase Awards including the 2026 Commercial Monitoring Solutions award.
Reporter tests 12 AI agents for personal assistant duties
A reporter tested 12 AI agents to see if they could serve as a personal chief of staff. Unlike older chatbots, these agents can take action on their own, such as researching online, making reservations, filling out forms, and reviewing documents. Some agents like Dots, Slashy, and Hark stood out as early favorites. Pricing varies widely, with some agents free and others costing up to $100 per month. The reporter recommends starting with just one agent that fits your needs.
3 sales growth stocks to consider during AI market shifts
Despite concerns about Big Tech's AI investments and economic headwinds like inflation and rising interest rates, U.S. markets have performed well in 2026. This article recommends three stocks with strong sales growth: Element Solutions Inc. (ESI), RTX Corporation (RTX), and Herc Holdings Inc. (HRI). The article argues that sales growth is a more reliable way to evaluate stocks than earnings-focused metrics. The selection criteria included factors like five-year historical sales growth, cash flow over $500 million, and operating margins above 5 percent.
Factory workers lead AI adoption while management trails
A new IFS Industrial Index survey of 2,275 leaders and workers across 14 countries found that factory floor teams are driving real AI gains but management is not keeping up. Over 90 percent of organizations reported improvements including 93 percent better first-time-right performance and 90 percent higher asset availability. However, 41 percent of executives focused on improving their own AI literacy instead of supporting frontline workers. The report warns that without proper governance and safety frameworks, fast AI adoption on the factory floor could create serious risks.
Sources
- Goldman Sachs restricts traders from using certain AI tools
- Goldman Sachs pulls AI coding tools from traders and bankers
- Goldman Sachs bans traders and bankers from using some AI tools
- Goldman Sachs is restricting traders and bankers from using AI coding tools
- Japan’s Kyocera clocks 56% jump in H1 profit as AI demand spurs sales
- Kyocera Lifts Full-Year Sales Forecast by ¥40 Billion as AI Demand Drives 56% First-Half Operating Profit Growth
- Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery
- "Find Stocks with Rising Trading Volume": Shinhan Securities to Add AI Screening Service to MTS
- Circumventing the Computational Hardness of Computational Arbitrage
- Shopify CEO turns wine cellar into AI server room, uses it to track stressful meetings
- Artificial Intelligence Technology Solutions Launches SARA #OpenToWork Campaign
- I auditioned 12 AI agents to be my chief of staff. Here's how they compared
- Invest in These 3 Sales Growth Stocks Amid AI-Led Market Volatility
- IFS: Factory floor teams are pushing AI wins, but management lags
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