Angi Freezes Legacy Platform for AI-Native Rebuild Amid Revenue Slide
CEO Jeff Kip aims to migrate the homeowner experience by 2026 as Q2 revenue drops 11% to $248 million.
Angi is pivoting to an AI-native architecture in a high-stakes effort to reverse a steady decline in revenue and professional user engagement. CEO Jeff Kip has ordered a freeze on the company's legacy platform to rebuild the marketplace from the ground up, aiming to complete the homeowner experience migration by the end of 2026.
The strategic shift comes as the company faces significant financial headwinds. In the second quarter of 2026, Angi reported revenue of $248 million, an 11% decrease. This decline is mirrored by a 13% drop in leads and a 17% decline in average monthly active professionals. Following the Q2 report, the company's stock fell 31%, a slide influenced by a $235 million impairment charge.
The AI Efficiency Bet
Despite the broader revenue slump, Angi is seeing concrete gains from early AI implementations. Company data shows the AI Helper tool currently converts homeowners at three times the rate of non-AI traffic. Additionally, the tool has improved match accuracy between homeowners and service providers by approximately 30%.
To expand its reach, Angi is testing ChatGPT as a direct traffic source, which is currently generating a reported revenue run rate of approximately $3 million. These wins form the basis of Kip's decision to freeze the legacy platform and spend a year rebuilding it as AI-native. AI-powered tools for service professionals are slated for introduction in the first quarter of 2027.
Breaking the Marketplace Spiral
Angi, which operates the combined legacy of Angie's List and HomeAdvisor, is fighting a structural decline. While the company previously shed low-margin network revenue from third-party affiliates, it now faces a precarious cycle where fewer active professionals lead to fewer options for homeowners, which in turn suppresses demand.
The pivot to an AI-native platform is an attempt to break this cycle by maximizing the efficiency of every lead. By increasing conversion rates and match accuracy, Angi hopes to stabilize its professional base and attract more homeowners, eventually scaling toward an ambitious long-term revenue target of $5 billion—more than four times its current run rate.
The Path Forward
The success of this transition depends on whether AI efficiency can translate into absolute growth. If the rebuild fails to increase the total volume of leads by the end of 2026, the technology may function as a cost-saving measure rather than a growth engine. Investors will be watching the 2026 migration milestones and the early 2027 rollout of professional AI agents to determine if the company can reclaim its market share.