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☆ Premarket stocks: The world is a mess and Wall Street isn’t paying attention
  + stars: | 2024-01-23 | by ( Nicole Goodkind | ) edition.cnn.com   time to read: +8 min
But geopolitical tensions are growing and Wall Street appears to be underestimating their potential impact on the global economy and markets. The United States and China are squabbling about trade, particularly high-powered AI chips that both believe carry consequences for national security. Less trade could mean lower supplies to meet demand — and that could be bad news for inflation around the world. Bank of America also gave geopolitical risk a top spot on its list of surprises that could affect markets in 2024. It’s the worst start to a year for Chinese stocks since 2016, when investors were ditching their holdings following a market crash in 2015.
Persons: ”, “, Jamie Dimon, dory, he’s, Anna Cooban, Laura He, Hong, Premier Li Qiang, Ken Cheung, Catherine Thorbecke Organizations: New, New York CNN, Dow Jones, Federal Reserve, BlackRock, Shipping, CNBC, Economic, Bank of America, Center for Strategic, International Studies, Apple, Google, Microsoft, Meta, Nvidia, “, Shenzhen Component, Premier, Mizuho Bank, MIT’s Computer, Artificial Intelligence Locations: New York, Russia, Ukraine, United States, China, Taiwan, Suez, Iranian, Pakistan, Iran, Europe, Asia, Drewry, Yemen, Davos, Switzerland, Wall, Shanghai, Shenzhen
☆ We may not lose our jobs to robots so quickly, MIT study finds
  + stars: | 2024-01-22 | by ( Catherine Thorbecke | ) edition.cnn.com   time to read: +4 min
In a study published Monday, researchers at MIT’s Computer Science and Artificial Intelligence Lab sought to quantify the question of not just will AI automate human jobs, but when this could happen. Researchers ended up finding that a vast majority of jobs previously identified as vulnerable to AI are not economically beneficial for employers to automate at this time. While this could change over time, the overall findings suggest that job disruption from AI will likely unfurl at a gradual pace. This could mean that policymakers, employers and even workers can start best preparing and adapting for these coming changes now. “[The study] gives us this ability to start being a little more quantitative of how rapidly we expect worker displacement to happen,” Thompson said.
Persons: ” Neil Thompson, it’s, ” Thompson, “, Thompson, Kristalina Georgieva, ” Organizations: CNN, MIT’s Computer, Artificial Intelligence, Computer Science, International Monetary Fund, MIT
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