Freshworks Is Cutting 500 Jobs as AI Writes More than Half Its Code

Why It Matters

The layoff underscores how AI‑driven automation is reshaping cost structures in SaaS firms, while the modest revenue growth shows Freshworks can still scale despite headcount reductions. Investors will watch whether the AI efficiencies translate into sustained profitability and market share gains.

Key Takeaways

• Freshworks cuts 500 jobs, 11% of workforce
• AI now writes over half of Freshworks' code
• One‑time restructuring charge estimated at $8 million
• Q1 revenue up 16% to $228.6 million
• Shares fell 8% after hours, 26% YTD decline

Pulse Analysis

Freshworks' decision to trim 500 roles reflects a broader shift in the software‑as‑a‑service (SaaS) landscape, where generative AI is moving from a peripheral tool to a core development engine. By allowing AI to author more than half of its code, the company reduces reliance on manual engineering, shortens release cycles, and lowers marginal costs. This automation aligns with industry forecasts that AI could cut software development expenses by up to 30% over the next few years, prompting rivals to accelerate similar initiatives.

Financially, Freshworks delivered a solid top‑line performance, with first‑quarter revenue climbing 16% to $228.6 million, beating consensus estimates. However, adjusted earnings of 11 cents per share fell just short of expectations, highlighting the thin margin between growth and profitability in a competitive market. The $8 million restructuring charge is modest relative to the company’s revenue base, and management plans to redeploy the savings into the Employee Experience division, aiming to enhance its Freshservice offering and drive higher‑margin recurring revenue. The move signals confidence that AI‑enabled efficiencies will free capital for strategic product investment.

The layoffs also echo a wave of headcount reductions across the SaaS sector, with peers like Atlassian and ServiceNow trimming staff amid AI‑driven re‑engineering. Investors are weighing the trade‑off between short‑term earnings impact and long‑term competitive advantage. As AI tools become more accessible, firms that embed them deeply into product development may achieve faster innovation cycles and stronger pricing power, reshaping valuation benchmarks for the entire industry.