Folks navigating their early career stages have never had more challenge or opportunity. We want to hire a lot more early career folks at Multiplier Holdings - and I think the idea that AI will decimate junior roles is wrong. AI will be a massive accelerant for those with the curiosity, optimism, and drive to achieve. That said - we live in a wild time where paths in front of young people have never represented more opportunity or more peril. The internet provides nearly infinite free knowledge to learn how to create or do anything. The internet also provides nearly infinite cheap dopamine to waste your time, ruin your motivation, and become cynical. Similarly: Those who are able to leverage this new breed of AI tools are having faster career advancement than ever before and those who are looking for "old style" entry level jobs are struggling. The question is: how do you allocate your most valuable asset—time—when the range of outcomes has never been wider?

I know a lot of people who did exceptionally well by getting into mobile development or data analytics in 2008 or 2009—right at the dawn of that era. There was a strong tailwind that meant decent skill in that domain would accrete to job opportunities or business success. There is a huge advantage to catching the wave early. Coming in late and you risk the "Oompa Loompa problem" that @arampell points out here x.com/arampell/status/200617…

I constantly feel I'm not quite AI-pilled enough despite using AI tools every day and working on an AI-focused startup. I blame @doodlestein for making me feel this way.