Companies are not saving money with AI, Gartner finds
A recent study found that many organizations have invested significantly in artificial intelligence. Workforce productivity gains have not kept up with that investment.
Read the original →Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
A recent study found that many organizations have invested significantly in artificial intelligence. Workforce productivity gains have not kept up with that investment.
Read the original →Fears about AI-driven job losses risk leading to taxes on capital. Such taxes could undermine investment, wages and competitiveness.
Read the original →Machine-checked proofs push theorem prices toward compute costs. Economists gain because identification has no automatic checker. Employers need fewer coders and more design checkers.
Read the original →The retailer expects around 200,000 seasonal employment applications. Its new AI platform aims to reduce the administrative tasks associated with hiring.
Read the original →CSUB is preparing students for an AI-driven workforce through new coursework, hands-on projects and its student-built Rio AI tool.
Read the original →GE Vernova's earnings call revealed that buyers are now reserving factory slots years into the future. That demand is reshaping how much power generation costs.
Read the original →EU and Chinese officials say there is "huge co-operation potential" on AI. The two sides have different regulatory regimes, which may get in the way.
Read the original →Microsoft and Alphabet both reported capital expenditures that fell short of estimates. This adds to concern over the cost of the AI buildout.
Read the original →Share prices have risen, but the domestic economy has not been revitalized. The piece argues that Japan should use its strengths in physical AI to raise international competitiveness. It says executives are required to make bold decisions with a long-term view.
Read the original →The project will use advanced physical AI technology and research knowledge to explore a new model of collaboration between people and robots. The work will begin at farms.
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