The first half is about hiring. In graduate recruiting, being able to use AI has become a floor rather than an advantage. Companies now assume new graduates are AI-native. Schools haven't caught up to that assumption yet, and the gap between the two is wide. The bar isn't "I've used ChatGPT," either. Close to half our code is written by AI now, and our design work has been running at 80 to 90 percent time reduction for months. Someone joins, gets handed a project, spends a month planning how to build it, and hears "that's two days of work." So our interviews changed. We care less about what you built and more about what story you were trying to tell with it, and which part you chose to obsess over. We don't look at academic credentials. Which is also why I think spending four years working, watching how the technology and the industry actually move, and then going to university afterward is a perfectly reasonable order to do things in. The second half is about learning. People keep saying the AI era rewards good questions. I only half agree. Questions are cheap. Finishing something and putting it in front of real people is the rare part. When I judge student pitches and hear "we're handing this off to the next class now," I always want to ask whether they actually wanted to build it. We also talked about kids. My five-year-old daughter thinks that when you draw something, it moves. We feed her drawings to a video model and they do. Printing is my job. 😂 前編は採用の話です。新卒採用の現場で、AI が使えることはもう足切りラインになりました。企業側は「新卒＝AIネイティブ」という期待値で待っているのに、教育の現場がまだそこに追いついていない。このギャップは率直に大きいと感じています。 しかも求められているのは「ChatGPT を触ったことがある」というレベルではありません。うちだとコーディングの半分近くは AI が書きますし、デザインは 8割9割の削減が続いています。1ヶ月かかると思った仕事に「それ2日でできるけど」と言われる世界です。だから面接でも、何を作ったかより「何のストーリーを伝えるために作ったのか」「どこに一番こだわったのか」を聞くようになりました。 後編は学びの話です。「AI時代は問いが重要だ」という言葉をよく聞きますが、個人的には少し違う考えを持っています。問いより、夢中でやり切って世に出すことの方が重要です。いいアイデアは世の中にたくさんありますが、実際に作り切って届けた人の方がよほど強い。