"The start of the year has been extremely sluggish for German industry," said Elmar Voelker, an analyst at the bank LBBW, noting that "the fleeting hopes of a recovery that had emerged last autumn have evaporated for now."
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"This is absolutely a rare window for young workers because the demand is real, funded, and seemingly long-term," Fraser Patterson, CEO of Skillit, stated. "These are not speculative jobs. They are tied to multi-decade investment cycles, and they offer a path to strong earnings, skill development, and stability without requiring a traditional four-year degree."
The sum of exports and imports between the two countries last year totalled 251.8 billion (roughly $296.6 billion), a 2.1% increase, according to Destatis. China was Germany's most important trading partner from 2016 all the way through to 2023. In 2024, the US briefly held the title. German Chancellor Friedrich Merz is also set to visit China next week, where he is set to discuss trade and other topics.
While it's appropriate to lament the lack of bipartisan cooperation in Washington, just because something's bipartisan doesn't mean it's a good idea. Exhibit A could be Senator Tammy Baldwin (D-WI) and Senator J.D. Vance's (R-OH) "Invent It Here, Make It Here" bill. Despite the name and its good intentions, it condemns promising federally funded inventions to waste away without doing a thing to build our domestic manufacturing base. It's scheduled to be considered this Thursday in the Senate Commerce, Science and Transportation Committee.
We are now in a time of manufacturing where precision is more than a technical necessity; it's a business requirement. The more complex, globally dispersed and demanding things get, the less slack remains in the system. Under these circumstances tolerance management has become a decisive competence and affects competitiveness not only in terms of controlling costs, ensuring quality and improving production efficiency but also for long term market success.
AI was supposed to lessen your workload, but it's actually making you work more. That's the finding of an eight-month study from UC Berkeley. Researchers tracked 200 employees at a U.S. tech company and discovered workers using generative AI didn't work less-they worked faster and took on broader projects, often extending work into more hours voluntarily. The main culprits were task expansion, with employees doing work that previously belonged to others, and blurred boundaries as workers prompted AI during lunch or breaks.
