BIG MOVE: Freshworks Cuts 500 Jobs After AI Writes Half 50% of Code

· Source: AIM Network · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Corporate Strategy & Leadership · Depth: Novice, short

Summary

FreshWorks reported that over 50% of its code is now AI-generated, leading to a reduction of 500 employees, or 11% of its workforce, and an $8 million restructuring charge. This occurred despite a 16% year-on-year revenue growth to $228 million, with its employee experience (EX) business growing 27% and customers spending over $100K growing 29%. The company is strategically reallocating resources, slowing growth in customer experience (CX) to fund aggressive expansion in EX and AI initiatives. FreshWorks also launched AI Agent Studio and MCP Gateway to integrate external AI systems, aiming to become an operating layer for enterprise AI agents. The company projects $0.94 free cash flow per share for fiscal year '26 and announced a $400 million share buyback.

Key takeaway

For CTOs and VPs of Engineering evaluating AI integration, FreshWorks' experience demonstrates that significant AI adoption in code generation can lead to substantial efficiency gains and workforce adjustments. Your teams should assess how AI can shorten development cycles and optimize engineering headcount, potentially freeing up capital for strategic investments or shareholder returns, rather than solely focusing on top-line growth as a health indicator.

Key insights

AI-driven code generation significantly boosts developer output, enabling workforce reductions and strategic business reallocations.

Principles

Method

FreshWorks leverages AI for over 50% of code generation, shortening development cycles and reducing engineering team size, while strategically reallocating capital to high-growth areas like Employee Experience.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Entrepreneur, Director of AI/ML, Executive, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by AIM Network.