Teams | Collaboration | Customer Service | Project Management

The way organizations work is being fundamentally reshaped by AI, evolving technologies, and macroeconomics. And IT leaders are not just responding to this change; they’re defining the strategic direction for how their organizations work. A new commissioned study conducted by Forrester Consulting on behalf of Atlassian, surveying 280 IT leaders globally (44% Directors, 56% VPs and CIOs), revealed a decisive shift in how enterprises are approaching their digital workplace. The mandate is clear.

Engineering teams today are shipping more than ever. Sprint boards move quickly, work items are completed on schedule, and releases move forward with steady momentum. As engineering output scales, so does the time spent across the broader software development lifecycle (SDLC). Jira continues to play a critical role as the system for organizing, tracking, and delivering work.

New research with 308 senior enterprise leaders reveals a counterintuitive finding: the problem isn’t strategic clarity, and it isn’t how often you plan. It’s whether your organization is actually able to act when strategy demands a change.

When Elena Verna joined Lovable, an AI-native startup, she wasn’t chasing another growth role. “I actually wanted to retire before I hit Lovable,” she admits. After leading growth at Dropbox, SurveyMonkey, Miro, and Amplitude, she’d seen the same patterns play out again and again. “I couldn’t do another gig where I felt like I’m doing growth 101. Onboarding flows, lifecycle emails, A/B tests.

96% of companies haven’t seen meaningful business value from AI. And yours might be one of them. IT leaders are spending big anyway – and wondering why projects still slip and service metrics refuse to improve. According to Atlassian’s AI Collaboration Index, 96% of companies haven’t yet seen meaningful business value from AI, despite widespread investment. AI has made it easier to get work done, but not easier to work together.

The learnings in this blog post are based on sessions from Atlassian’s Teamwork in an AI era event featuring Forrester Senior Analyst Will McKeon-White and Atlassian’s Teamwork Lab. You can check out these sessions and others on demand. Everything’s moving faster. Decks are drafted in an afternoon. Customer emails write themselves. Reports that used to take a week now show up in your inbox overnight. But the faster your teams move, the harder it gets to keep everyone on the same page.

AI is everywhere. It drafts emails, summarizes meetings, analyzes data, and writes a first pass of project briefs. On an individual level, it’s working. In our research at Atlassian, we found that knowledge workers say AI is helping them save 76 minutes per day. That’s the shallow end – useful, energizing, and a good way to build momentum.

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The AI productivity paradox is real. Here’s how to turn AI busywork into real impact.

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