FT: “Fluency in English — generally believed to be the most widely spoken language in history, with an estimated 1.5bn users worldwide (including 375mn native speakers) — has become a non-negotiable qualification for high-level jobs in many professions, sidelining people with a merely passable grasp of it. Its dominance is now being reinforced as AI shapes a new linguistic era. “An estimated 90 per cent of training data for current generative AI systems stems from English,” writes Celeste Rodriguez Louro of the University of Western Australia. As more jobs require working with AI, native anglophones will benefit.”
WSJ: “A one-pager is designed to highlight your credentials for busy hiring managers who won’t take time to read a second page anyway. But there’s no need to cater to a human glance if a bot is going to read your submission instantaneously. In fact, a longer résumé can increase the odds of getting through an initial review by giving you more space for the relevant words and phrases AI is trained to spot. “A couple-page résumé that focuses predominantly on your impact in previous jobs is extremely important,” says Hari Kolam, chief executive of AI recruiting software maker Findem.”
Amy Edmondson: “The most successful or high-performance organizations are not the ones that never fail. They’re the ones that catch and correct. And they’re willing to take risks in new territory in ways that often lead to success — but often don’t.”
Tyler Cowen: “It remains an open question how much it is now our job as humans to perform for the AIs. I feel confident, however, that the answer is not zero. We should already be thinking of ourselves not only as humans but also as part of a more complex symbiosis with the intelligent machines. The very smart and talented AIs are listening, much like young children might hear their parents arguing outside their bedroom door late at night. It may not matter much now, but as the children grow up and assume a larger role in the world, it will.”
Aaron Levie: “AI is causing more department lines to collapse or blur. Companies are finding that teams can now begin to do more of the work of their adjacent functions, which clearly will have some very interesting implications to corporate org structures in the future…Getting workflows well understood before you add AI Agents to them continues to be a hot topic. If you don’t have a clean process today, it’s very hard to bring automation to that work, so many companies are using AI as an opportunity to bring more discipline to the workflows…AI Agent interoperability remains a continued focus for IT leaders. It’s obvious that no singular system can handle all the agentic workflows across the enterprise, which means having AI systems talk to each other is still a huge focus.”
