Atlassian co-founder and CEO Mike Cannon-Brookes is pushing back against the idea that artificial intelligence will dismantle the enterprise software industry, arguing that AI is actually driving more usage of the company's core products rather than replacing them.
Speaking on the Decoder podcast, Cannon-Brookes addressed what he called the «SaaSpocalypse» narrative — the theory that AI tools will soon be able to read, interpret, and even build the software that companies like Atlassian sell, making entire categories of business software obsolete. He rejected that view, saying the value of well-designed platforms that help teams organize work remains intact even as AI capabilities expand.
Atlassian, based in Australia, makes Jira and Trello, tools used by software teams and businesses worldwide to manage projects, track tasks, and organize shared information. Cannon-Brookes described the company as a platform that connects business and technology teams to handle complex work problems across an organization. He said all of Atlassian's products are different expressions of a single core platform, which shapes both how the company is structured and how its products are built.
The CEO acknowledged that AI is changing how companies operate and has already reshaped Atlassian itself. Earlier this year, the company conducted a round of layoffs, with Cannon-Brookes saying at the time that Atlassian needed a different «mix of skills.» He said the shift reflects broader changes in what it means to run a software company in the AI era.
But he was direct about what AI cannot do, and he pushed back on peers who predict that AI will eliminate certain roles. He specifically challenged Cloudflare CEO Matthew Prince, who recently appeared on the same podcast and discussed AI eliminating what he called «measurement roles.» Cannon-Brookes' resistance to that framing suggests a split among tech leaders about how quickly and how deeply AI will displace human work in the software industry.
At the center of the debate is whether AI makes it easier for companies to abandon platforms like Atlassian. If AI tools can read and interpret all the different systems a company uses, the argument goes, the incentive to migrate to a single platform like Atlassian's diminishes. Alternatively, if AI can build project-management and collaboration tools on demand, the entire SaaS business model could be at risk.
Cannon-Brookes disputed both scenarios. He said AI is increasing usage of Atlassian's tools, not reducing it, and emphasized the importance of design and human users in the equation. He described Jira as a «human reference to work,» a phrase that underscores his view that the work itself is not done inside Jira — the software organizes and tracks it — but that human judgment remains essential to how businesses function.
He also framed businesses as systems of processes, arguing that the fundamentals of how work gets done have not changed. What has changed, he said, is the number of processes running, the way they run, and the challenge of understanding what is happening across an organization. That complexity, in his view, makes platforms that provide visibility and structure more valuable, not less.
The conversation comes as the software industry grapples with how generative AI will reshape products, workforces, and business models. Atlassian's experience offers one data point: a major enterprise software company reporting that AI is driving engagement rather than cannibalizing it. Whether that pattern holds across the sector remains an open question, but Cannon-Brookes' stance places him among the more vocal skeptics of the most dire predictions about AI's impact on SaaS.
For now, the CEO's message is that the «SaaSpocalypse» has not arrived. The tools that help teams decide what to do tomorrow, he suggested, still have a central role to play — even in a world where AI is doing more of the reading, sorting, and suggesting.