3M

3M reported higher-than-expected profits and again improved its full-year outlook, which supported the Dow Jones and pushed the share price up 5.8 percent. The company thus signals robust operational performance despite mixed market sentiment in other sectors. » More on finanzen.net

3M reported adjusted earnings per share of $2.50 for the third quarter (+12%) on revenue rising to just under $6.6 billion (organic +3.3%). CEO William Brown lifted the full-year 2026 forecast to adjusted EPS of $9.10–9.15 (previously $8.80–8.95). Corporate restructuring and the winding down of non-core businesses, along with a new product focus in growth sectors, are driving the operational recovery and buoying the stock. » More on deraktionaer.de

3M and Amazon have significantly expanded their collaboration on optical links and other data-center products. Amazon received warrants on up to 3.16 million 3M shares, tied to potential product purchases of up to $6 billion. 3M's fiber-optic technology and a manufacturing push could sharply reduce installation costs and make the company a beneficiary of the AI data-center boom. » More on finanzen.net

3M reported adjusted earnings per share of $2.50 for the third quarter (+12%) and revenue rose about 1% to nearly $6.6 billion. CEO William Brown raised the adjusted profit target for 2026 to $9.10–$9.15 per share (previously $8.80–$8.95). Net income attributable to shareholders increased by almost 65% to $1.37 billion, after which the stock rose sharply. Brown is pushing the restructuring forward and is focusing 3M more on core businesses and growth areas such as data centers. » More on finanzen.net

A 3M-hired expert used ChatGPT to draft a report defending 3M's standard of care after a 2020 propylene explosion in Houston, supplying documents and prompts that asked the model to show 3M was 0% at fault. Plaintiffs obtained the prompt record and used it at trial to challenge the expert's independence; a jury later apportioned 30% responsibility to 3M and awarded $61.5 million. The case highlights risks of biased AI-assisted expert work and advises forming opinions from evidence first, using AI to test and critique reasoning, and treating AI outputs as items to verify and disclose in discovery. » More on forbes.com