“The rhetoric was, if you just learned to code, work hard and get a computer science degree, you can get six figures for your starting salary,” Ms. Mishra, now 21, recalls hearing as she grew up in San Ramon, Calif.
Those golden industry promises helped spur Ms. Mishra to code her first website in elementary school, take advanced computing in high school and major in computer science in college. But after a year of hunting for tech jobs and internships, Ms. Mishra graduated from Purdue University in May without an offer.
“I just graduated with a computer science degree, and the only company that has called me for an interview is Chipotle,” Ms. Mishra said in a get-ready-with-me TikTok video this summer that has since racked up more than 147,000 views.
the International Monetary Fund is predicting that 40 per cent of all jobs could be taken by AI, it is actually youngsters who are being the worst hit. It might seem counterintuitive, but the truth is that AI might just be a saviour for older workers. An example of being AI capable that Foster showcased is a marketing employee who uses the technology to make social posts and edit by hand.
As more companies see value in AI, it is becoming more commonplace for them to seek job candidates who have some level of skill using AI, even if they are applying for nontechnical positions As more companies see value in AI, it is becoming more commonplace for them to seek job candidates who have some level of skill using AI, even if they are applying for nontechnical positions (Justin Tallis/AFP via Getty Images) Julia Cheek, the founder and CEO of Austin-based digital health company Everlywell, gave an example of how a candidate could use personal experiences with AI and apply them to the role they want.
A candidate for a social media manager could mention how they have used AI tools on Canva or Photoshop to create memes and then explain how the technology could accelerate development of content for the position, Cheek told The Washington Post.
The University of Hawai‘i Institute for Astronomy has released an AI system that reconstructs the Sun’s magnetic field in three dimensions with unprecedented accuracy. The Haleakalā Disambiguation Decoder processes data from the NSF Daniel K. Inouye Solar Telescope to nail down the field’s true direction and height. The algorithm fuses telescope observations with the physics rule that magnetic fields form closed loops, eliminating long-standing measurement gaps. Peer-reviewed tests on calm zones, active regions, and sunspots validate its precision, and the findings appear in the Astrophysical Journal. The sharper 3D maps expose electric currents and other structures that drive solar flares and coronal mass ejections. Researchers say this clarity strengthens space-weather forecasts, buying extra time to shield satellites, power grids, and communications.
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