AI and technology forecast for 2025 from Atlassian

Atlassian has provided some technology forecasts, along with AI, for 2025.

Jamil Valliani, Head of Product, AI, Atlassian
“2025 will be the year of the AI agent. As agents grow richer in interactivity and start to reach across more than just text and into audio and visual elements, they will bring about a powerful cultural shift in how humans collaborate with AI. Agents are already quite good at augmenting and accelerating our work — in the next year, they will get even better at performing highly specific tasks, taking specialized actions, and integrating across products, all with humans in the loop.

"I’m most excited to see agents becoming exponentially more sophisticated in how they can collaborate with teams to handle complex tasks. Agents are benefitting from rapidly evolving foundation models, reasoning over increasingly rich data sets, and gaining the ability to take more actions. 

"These advancements will not only yield better results when handling tasks, but also allow the agent to continually learn and handle increasingly complex problems, much like a human teammate or collaborator might. Our relationship with them will evolve, and we'll see new forms of collaboration and communication on teams develop.”

Joe Thomas, Head of Product Management, Loom
“As we approach 2025, I predict that teams will fully embrace asynchronous work as the foundation for AI-driven collaboration. Companies will recognize the immense value of high-fidelity, documented contexts—especially through asynchronous video—which AI can index and convert to other formats in powerful ways. 

"We'll see a surge in content transformation from video to metadata and text, with AI agents converting these inputs into efficient workflows and actionable insights. Video recording will be increasingly leveraged as a powerful and efficient documentation mechanism, with individuals and teams increasingly trusting AI to help package the most effective note possible, whether it is to other teammates or to AI agents to get work done on the team’s behalf. 

"This shift to asynchronous work will empower measurable productivity gains, both to solve for human-oriented constraints of time zones or schedules and human-AI collaboration.”