Palo Alto Networks CEO says AI won't mean fewer engineers: 'I need more'

AI changes hiring approaches without necessarily reducing headcount. The CEO of a cybersecurity company rejects the idea that higher productivity from development and testing means fewer people are needed. He argues that organizations can gain technical capacity and use it to complete long-delayed product roadmaps and drive business transformation. He expects increased capacity to be absorbed by filling a backlog of feature requests from technologists. He also frames some AI-linked layoffs as a way to create capacity and reallocate roles, allowing workers with different responsibilities to fit new needs. Overall, job impacts are presented as more nuanced than simple replacement.

"“No, I need more,” he said. “The fallacy is that organizations are going to get 30, 40, 50, 60% more productive from a development perspective and a testing perspective, so we need less people.”"

"Arora thinks there's a more nuanced impact on jobs. He argued that AI could create greater technical capacity and that companies may use those gains to tackle long-delayed product roadmaps and business transformation rather than simply banking the savings through mass layoffs. “The problem is, every technologist that you talk to has a feature request list which is longer than their arm,” he said. “I think the first thing that's going to happen is, as we create more capacity, we're going to try and fill the technological backlog.”"

"Arora also offered a layered view of recent AI-linked layoffs, saying some companies may be using cuts to “create capacity” and make room for workers with different job responsibilities. “They'"

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