Asana bets $75M on Stack AI acquisition to transform into AI agents operating system

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Asana acquired Stack AI for $75 million in its first deal in 18 years, aiming to position itself as the operating system for human-agent teams. The acquisition adds cross-system workflow execution to Asana's AI platform, announced alongside Q1 earnings that beat expectations with revenue up 9.5% to $205.1 million. The move comes as Asana's stock has fallen 53% amid broader market concerns about seat-based SaaS models in the AI era.

Asana Acquires Stack AI for $75 Million to Power AI Agents Platform

Asana has completed its Stack AI acquisition for a reported $75 million, marking the work management company's first deal in 18 years and a significant pivot toward becoming an AI-native workplace platform[2](https://thenextweb.com/news/asana-acqui res-stack-ai-agent-builder-saas)

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. The acquisition brings Stack AI's no-code AI agent builder technology into Asana's ecosystem, adding critical cross-system workflow execution capabilities that allow AI agents to operate across enterprise systems like Salesforce, Slack, and Google Workspace

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. Stack AI founders Tony Rosinol and Bernard Aceituno, both MIT PhDs, will join Asana along with the company's team of around 55 people

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. The deal was announced on May 28 after market close, strategically timed to coincide with Asana's Q1 earnings call

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Source: SiliconANGLE

Source: SiliconANGLE

Building the Operating System for Human-Agent Teams

CEO Dan Rogers framed the acquisition as accelerating Asana's transformation into the operating system for human-agent teams, a phrase the company has deployed repeatedly since launching AI Teammates as a generally available product in April 2026

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. While Asana's existing products, AI Studio and AI Teammates, operate within Asana's own work management environment, Stack AI adds the execution layer that carries workflows into external ERP, CRM, and IT service management systems

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. Rogers told Fortune that in two or three years, most workers will have agents augmenting their work, making the coordination challenge between humans and AI agents more urgent

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. The workflow automation capability enables agents to complete complex processes end-to-end, such as employee onboarding or marketing content quality control and publishing

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Source: SiliconANGLE

Source: SiliconANGLE

Q1 Earnings Beat Amid Broader Market Struggles

Asana reported Q1 earnings that exceeded expectations, with revenue reaching $205.1 million, up 9.5% year-over-year and beating the consensus estimate of $203.9 million

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. Adjusted earnings per share came in at $0.10 against a $0.07 consensus, and the company posted record GAAP and non-GAAP operating margins

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. The company narrowed its net loss to $14.4 million from $40 million in the same quarter last year, with adjusted operating margin reaching a record 11.5%

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. Asana raised full-year revenue guidance to $855.5 million to $863.5 million, with the Stack AI deal expected to add about 50 basis points of growth

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. The earnings beat sent shares up more than 13% in after-hours trading

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SaaS Models Under Pressure in the AI Era

Despite the positive earnings, Asana's market value has been battered by broader concerns about seat-based SaaS models in an era of agentic AI. The stock has fallen more than 53% since the start of 2026 and trades at roughly $1.5 billion in market capitalization, down from a peak of nearly $20 billion in 2021

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. The so-called SaaSpocalypse erased more than $1 trillion in SaaS market capitalization in February 2026 alone, as investors began pricing in structural contraction across the sector

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. Companies like Asana face a fundamental challenge: AI agents can increasingly perform work that SaaS products were built to do, and they can handle tasks that previously required multiple human users, upending the per-seat pricing model that drove growth

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New Agentic Work Management Suite Launches

At its Work Innovation Summit in London, Asana unveiled Agentic Work Management, a new product suite designed to help organizations manage human-agent work using a unified plan

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. The suite includes Dash, an AI agent that acts as a chief of AI staff for every user, understanding goals, priorities and tracking work across teams and tools

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. Dash picks up meetings, Slack threads, emails and other unstructured messaging through the Work Graph automatically, ensuring decisions and follow-ups don't disappear into inboxes

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. The company also launched three specialized applications: Asana Service Management for IT and HR teams, Command for developer coordination, and Asana Client Management for agencies

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AI Products Drive Growing Revenue Share

Asana's AI products are gaining traction with customers, now accounting for more than 17% of new annual recurring revenue according to Dan Rogers

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. The number of customers spending more than $100,000 annually on AI Studio nearly doubled during the quarter

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. AI Teammates is priced at $15 per user per month and provides pre-built agents for roles in marketing, IT, and operations

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. The company has added more than 10 new integrations, including Gmail, Outlook, HubSpot, Figma and Canva, allowing AI Teammates to handle multistep work across the tools teams already use

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Competitive Landscape and Strategic Position

Asana faces intense competition as the entire software industry restructures around AI agents. Zendesk acquired Forethought in its largest deal in two decades, while Google launched enterprise AI agent tools at Cloud Next 2026, and Salesforce positioned Agentforce as its core product strategy

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. Stack AI itself faced fierce competition from automation platforms like Zapier and from AI labs like OpenAI and Anthropic before the acquisition

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. Rogers argues that Asana's horizontal footprint within companies, where it is already embedded across marketing, IT, operations, and planning in large enterprises, provides a natural coordination role that larger rivals cannot easily replicate

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. The company's Work Graph data model, which maps tasks, projects, goals and relationships across organizations, provides the context and governance layer that AI agents need to operate reliably

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Source: Fortune

Source: Fortune

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