AI Markets

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As AI mints new millionaires, billionaires, and even trillionaires, it’s also threatening to replace entry-level workers and sparking fearful chatter of the “permanent underclass.” There’s no place that’s more evident than in the Bay Area, at the heart of Silicon Valley, where technology is wedging a deeper divide in the K-shaped economy, especially in the housing market.

A new Redfin report found that since the launch of ChatGPT’s first model in Nov. 2022, luxury home prices in the region—classified as those selling between $3.1 and $7.6 million—have jumped 13.4%. At the same time, home values for lower-end properties in the Bay Area—those $535,000 to $615,000—have fallen by 3.8%.

“Some owners of lower-end properties have missed out on the AI boom, with home prices in the most affordable Bay Area zip codes declining over the past two years,” Yingqi Xu, Redfin senior economist, said in a statement. “It’s another sign of the K-shaped economy taking shape in the Bay Area, with AI lifting the fortunes of some households and neighborhoods much more than others.”

Many Americans today are grappling with the sobering reality of high mortgage rates, inflated home prices, and a housing stock shortage. Many are delaying homebuying by a near decade from just a few years ago, as the median age of the first-time homebuyer hit 40 in 2025, up from just 33 in 2021.

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A new study from researchers at Carnegie Mellon, MIT, Oxford, and UCLA suggests that using an AI chatbot for just 10 minutes could negatively impact your ability to think and problem-solve. And honestly, the findings are a little alarming.

As reported by Wired, the researchers asked participants to solve problems, including simple fractions and reading comprehension tasks. Some participants were given access to an AI assistant that could solve the problem for them.

When the AI was suddenly removed, those participants were far more likely to give up or get the answer wrong. In other words, the moment the AI crutch was gone, people struggled.

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The market for Treasury debt is challenging to interpret even when the environment is calm, much less when multiple geopolitical and technological disruptions are present simultaneously. Two papers released in the past year offer differing perspectives on a consequential unknown in the current market, which is the expected effect artificial intelligence (AI) will have on future productivity growth.

The first of the two relevant papers, co-authored by Isaiah Andrews and Maryam Farboodi, examined market signals in 2023 and 2024 around the releases of updated AI models from five leading developers (OpenAI, Anthropic, Google Deepmind, xAI, and DeepSeek). A main finding was that the nominal interest rates for long-term Treasury and corporate debt fell after these models became public by a statistically significant 12 basis points.