Systemic shock: AI’s foresight collapse

Editor Robert N. in this issue. One of the most insight to contribute to the feature story of Charit is that the 20 -year rollout of the Electronic Health Records (EHRS) in the United States took place with a deliberate disregard for interoperability. As a result, thousands of health care providers are “expensive, poorly designed, and cumbersome with unsafe EHR systems, one of which has been extended to a clinician burnout, which lost hundreds of crores of record data, and made new sources of medical aerrs,” the chechats write.

The US government took this myopic decision to expedite the EHR adoption, ignoring long -term costs. The EHR system needed to “operate before becoming interpelled.”

You can call what happened next “unexpected results”, but it would absent the government and the decision making options for those options that they knew that they could compromise user experience, safety and patient results. The results were completely visionary. A more appropriate term can be “systemic jerk”-negative results on weed-fame that arise from the decision to accelerate new technology without ideas for comprehensive potential effects.

Once you see a systemic setback in a technical context, you start looking at it in others. Case in point: global deployment of artificial intelligence.

AI’s influence on white-collar jobs

In May, Dario Amodi, CEO of Anthropic, Creator of Cloud AI, AXIOS told that AI can erase half of all entry-level white-collar jobsAnd increase unemployment by 10 to 20 percent in the next one to five years. (American unemployment was About 4 percent in June.) “We, as the producers of this technology, have a duty and a responsibility to be honest about what is coming,” Amodi said. “I don’t think it is on people’s radar.”

But amodi’s confession about the possible loss of AI adoption on a large scale is just closed as virtuous signaling. Big AI, Amodi Sarmes, will continue to develop this technology so that we can cure cancer, increase the economy 10 percent annually, and even balance the federal budget. And by the way, even one in five people will be unemployed soon. That last part – disadvantage – is to solve someone else’s problem.

Computer programmers are still feeling disadvantage. As Washington Post, All coding jobs have disappeared over a quarter In the last two years, many of that loss for AI use. As Spectrum Reported last month, LLMs are improving an exponential rate, which does not grow well for the rest of the human workforce.

“Systematic shock”-negative results on a comprehensive-fame that arise from the decisions to accelerate new technology without consideration to comprehensive potential effects.

Which includes people working in the media. Ever since Google emerged as the home page of the web in the early 2000s, media outlets operated under the assumption that Google would firmly crawl their sites and send their way to the audience.

Google blew the deal when it introduced AI answers to its entire user base earlier this year. Since then, Spectrum The impression is doubled – time Spectrum The material search results on the result page or, rapidly, AI in the north-north-and-quoted article, about 40 percent less clicks from people coming to our website to read. As the web traffic dies, the business models dedicate to that traffic. Oh okay, Big AI says, someone else’s problem.

But killing the current information ecosystem means that AIS will have to swallow new content written by other AIS rapidly, as humans produced materials will soon run or will go soon. garbage in garbage out. This time next year, don’t be surprised when your shiny, new AI agent gives you morning briefing that is just closed. Then the problem of Big II will be your problem. Quickly or later you will also feel a systemic shock.