The strongest candidates pair practical AI build skills with human strengths—analytical and creative thinking, communication, and adaptability—as employers expect 39% of core skills to change by 2030 and report fast-rising demand for AI/big data, cybersecurity, and tech literacy. Roles listing AI skills earn a notable wage premium and are growing faster than overall postings, making … Read more
Start with AI literacy and one practical project path, then iterate: learn core concepts, build a small GenAI app (like a RAG chatbot over your notes), measure quality and cost, and document what you did. Employers expect major skill shifts by 2030 and are ramping AI upskilling, so focus on durable skills—AI literacy, data fluency, … Read more
AI is set to both create and displace millions of jobs by 2030, with a net gain if societies reskill fast: forecasts suggest about 170 million new roles and 92 million displaced, while 86% of employers expect AI to transform their business and 39% of current skills to change. Jobs requiring AI skills are growing … Read more
AI in higher education will shift from add‑on tools to a built‑in layer of tutoring, analytics, and skills‑based assessment by 2030, with human‑centered governance ensuring equity, privacy, and educator agency. Expect curricula to prioritize AI/data fluency, cybersecurity, experimentation, and ethics, while AI tutors and copilots reshape how courses are delivered, practiced, and assessed. What will … Read more
Pick courses by mapping what you want to do (use AI at work, build AI apps, or specialize) to what the course actually teaches and measures—then favor options with hands‑on projects, evaluation metrics, and recognized credentials over marketing hype. Employers expect roughly 39% of core skills to change by 2030, so prioritize programs that build … Read more