Asana acquires Stack AI for $75M, betting its future on AI agents working alongside humans

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Asana has acquired no-code AI agent builder Stack AI for $75 million, marking its first acquisition in 18 years. The deal positions Asana as a platform for managing AI agents alongside human workers, addressing intense market pressure on seat-based SaaS models. The announcement coincided with a Q1 earnings beat that sent shares up 13%, though the stock remains down 53% year-to-date.

Asana Acquires Stack AI in $75 Million Deal to Accelerate AI Agent Strategy

Asana has completed the acquisition of Stack AI, a no-code AI agent builder, for a reported $75 million, the company announced on May 28 after market close

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. The deal marks Asana's first acquisition in 18 years and signals a major strategic shift as the workflow automation company positions itself as what CEO Dan Rogers calls "the operating system for human-agent teams"

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

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Source: SiliconANGLE

Source: SiliconANGLE

The acquisition was timed to coincide with Asana's first-quarter earnings call, where the company reported revenue of $205.1 million, up 9.5% year-over-year and beating consensus estimates

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. The announcement sent Asana's shares up more than 13% in after-hours trading, though the stock remains down 53% since the start of the year

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Stack AI Brings Cross-System Workflow Execution to Asana's Platform

Stack AI adds critical cross-system workflow execution capabilities that Asana currently lacks

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. While Asana's existing AI products, AI Studio and AI Teammates, operate within Asana's own work management environment, Stack AI's AI agents can reach into enterprise systems like Salesforce, Slack, Google Workspace, Oracle, and AWS to automate business processes end-to-end

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. The no-code AI workflow platform allows companies to design, test, deploy, and govern custom AI agents that complete complex workflows across multiple systems without writing code

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"This acquisition accelerates our roadmap and marks the next phase of human-agent work," said Dan Rogers in a statement. "StackAI now lets them go further, agentifying the most complex business processes end-to-end, across every system and tool their business runs on"

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. Rogers described a proof of concept where Stack AI agents pulled data across five marketing systems and worked with Asana's AI Teammates to complete a search engine optimization spend process

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Source: Fortune

Source: Fortune

Stack AI was part of Y Combinator's Winter 2023 cohort and had raised just under $20 million in total funding, including a $16 million Series A backed by Gradient, Epaklon Capital, Lobby VC, LifeX Ventures, and Vercel CEO Guillermo Rauch

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. The platform will continue to operate under its own brand following the acquisition

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Asana Bets on Human-Agent Collaboration Amid Market Pressure on SaaS Models

The acquisition comes as Asana faces intense pressure to adapt its business model for the AI age. The company has lost roughly half of its market value since the AI boom began, falling victim to deep market anxiety regarding the future of seat-based SaaS models in an era of agentic AI

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. AI agents, which can handle work that previously required multiple human users, upend the traditional business model where companies like Asana historically grew by charging per employee seat

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Fears around a potential "SaaSpocalypse" erased more than $1 trillion in SaaS market capitalization in February alone, as investors began pricing in a structural contraction across the sector

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. Asana's stock has fallen from $19 at its 52-week high to a low of $5.38 over a tumultuous year

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. The company also underwent leadership changes, with co-founder Dustin Moskovitz stepping down as CEO in March 2025, replaced by Dan Rogers, formerly of LaunchDarkly and ServiceNow, who took over in July 2025

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Rogers told Fortune that as AI agents proliferate across enterprises, the coordination problem becomes more urgent. "In two or three years, most workers will have agents augmenting and supercharging the way they work, making the question of how humans and agents stay aligned more urgent," he said

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. He argues that Asana's Work Graph, a data model that maps projects, tasks, ownership, and dependencies across an organization, provides the context and governance layer that AI agents need to operate reliably

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AI Products Drive 17% of New Revenue as Competition Intensifies

Asana's Q1 earnings showed signs of traction with its AI capabilities. The company reported adjusted earnings of $0.10 per share, up from $0.05 a year earlier and beating the $0.07 consensus estimate

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. New AI products like AI Studio and AI Teammates, both launched within the past year, now account for more than 17% of new annual recurring revenue, and the number of customers spending more than $100,000 annually on AI Studio nearly doubled during the quarter

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Asana ended the quarter with 26,103 customers spending $5,000 or more annually, up 7% year-over-year, and 817 spending at least $100,000, up 12%

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. The company raised full-year revenue guidance to $855 million to $863.5 million, up from a prior range of $850 million to $858 million, with the Stack AI deal expected to add about 50 basis points of growth

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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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However, Asana faces fierce competition in the rapidly crowding no-code agent-builder market. Zendesk acquired Forethought in its largest deal in two decades, Google launched enterprise AI agent tools at Cloud Next 2026, Salesforce positioned Agentforce as its core product strategy, and Monday.com and Notion have both shipped agent features

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. Stack AI itself faced competition from automation platforms like Zapier and from AI labs like OpenAI and Anthropic, which have built their own agent-building tools

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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—gives it a natural coordination role that larger rivals cannot easily replicate

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. He expects full integration of Stack AI within two to three months, noting that "if you looked at the roadmap of the things they were building and the roadmap of the things we were planning on building, it's a perfect overlap"

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