Asana CEO tackles AI agent chaos amid SaaS disruption concerns

Asana is addressing a major question confronting the software sector: will generative AI make traditional SaaS tools redundant?

More investors believe the answer may be affirmative. The company's stock price has decreased by over 50% this year, amid rising concerns about whether AI agents and chat interfaces could render software like Asana obsolete.

CEO of Asana, Dan Rogers, acknowledges the potential disruption, but contends it aligns with the company's inherent strengths.

"AI and AI agents don't solve the coordination dilemma; they actually make it grow exponentially," Rogers shared during a recent conversation.

As firms incorporate more AI agents, the complexity of syncing tasks between humans and machines rises. 

Rogers envisions a future teeming with thousands of AI agents within organizations, leading to chaos without a proper management system.

Asana's strategy is to redefine itself not as a classic SaaS product, but rather as an "orchestration layer" for people and AI agents, according to Rogers. 

Its "work graph," a data framework organising tasks, workflows, and responsibilities, is being reshaped to accommodate a new human-AI teamwork model.

Arnab Bose, Asana's Chief Product Officer, noted that AI's initial influence in enterprises has complicated workloads instead of simplifying them.

"Documents are becoming longer and more complex," Bose commented, highlighting the need for more supervision over AI-generated material.

Nonetheless, SaaS's foundational business model is evolving. An RBC Capital Markets report from early March underscores this pressure. 

Analysts maintained a rating of "underperform" on Asana's stocks, pointing out slowing growth, fierce competition, and uncertainty over AI's impact on operations.

As a response, Asana is transitioning from seat-based costs towards a combined model that adds usage-based charges associated with AI usage.

Rogers noted that Asana's clients are seeking two things: predictability and payment for value gained or services rendered.

"These two aspects may conflict," he mentioned. "But our aim is to align with our customers on that spectrum."

The traditional seat-based model, where subscribers pay monthly based on how many employees use the SaaS product, offers stability — for both users and providers.

"The downside is it's a bit tougher to link directly to value delivered," Rogers explained. "So, for a time, we will likely find ourselves in a mixed model world."

This will blend the "predictability" of seat pricing with innovative structures that measure customer AI token usage and the results gained from new AI-driven software services, as the CEO elaborated.

New initiatives, such as AI Teammates and AI Studio, are partially monetized in this way and are experiencing rapid growth. 

AI offerings are projected to contribute about 15% of annual recurring revenue for Asana by the 2027 fiscal year.