Will AI take your job, or will someone who’s good at using AI take it instead?
In the third instalment of Phuel’s AI series, Nathy Gaffney and innovation expert Jake James tackle that question head on. Jake’s answer is refreshingly balanced: yes, AI will replace some roles, but the data points to it creating more than it eliminates. He cites the oft-quoted World Economic Forum estimate that a large share of the roles that will exist in five years don’t exist yet, and reframes the conversation away from pure job loss toward job creation and redefinition.
The episode’s most useful concept is Gartner’s projection that a majority of future roles will be AI-augmented rather than replaced outright, meaning human and AI working together to produce an outcome neither could reach alone. Jake’s radiology example lands well: AI helping detect early signs of breast cancer years in advance still requires a radiologist in the loop. That’s augmentation, not replacement.
Jake revisits embracing the cactus from episode one, the idea that leaning into discomfort beats denial, and connects it back to the 10 hour rule as the practical bridge between fear and fluency. He’s also candid about the double standard people apply to AI: nobody complains about Netflix’s recommendation engine, but the same technology applied somewhere that feels threatening triggers real anxiety. The difference isn’t the technology, it’s what feels like it’s being taken away.
There’s a sharp point about accountability here too. Jake argues that if AI develops in ways we don’t like, that’s a human failure, not a technology one, and that everyone currently sitting back waiting to see how things shake out has an opportunity to actively shape how AI gets used in their own role and industry instead.
On reskilling teams, Jake’s advice to leaders is clear: start with upskilling, not reskilling, unless your industry is facing genuinely radical disruption. He shares a real example of an organisation that identified a gap in innovative, big picture thinking using the HBDI framework, then built a dedicated innovation space and framework to close it: proof that creating room to experiment matters as much as the tools themselves.
This episode is worth your time if you want a clear eyed, non-alarmist take on what AI actually means for how roles and skills evolve, not just whether jobs disappear.
