Freshworks to cut 11% jobs as AI reshapes software industry

Freshworks said it will cut 11% of its workforce, or about 500 jobs, citing AI-driven automation and industry disruption, and expects about $8 million in one-time restructuring charges. The company also reported first-quarter revenue of $228.6 million, up 16% and above estimates of $223.24 million, while adjusted EPS of 11 cents missed the 12-cent consensus. Second-quarter revenue guidance of $232 million to $235 million implies a midpoint slightly above the $232.7 million analyst estimate.

Analysis

This is less about one company’s cost-cutting and more about the industry crossing a threshold where AI is now being used to compress the operating model, not just improve products. That has a second-order effect on the entire mid-cap SaaS cohort: the market will increasingly treat headcount as a lagging indicator and discount “efficiency gains” unless they translate into durable gross margin or faster product velocity. The immediate winners are the vendors that can prove AI-led feature expansion without sacrificing net retention; the losers are the names where AI is read as defensive restructuring rather than revenue acceleration.

For FRSH specifically, the near-term setup is awkward: cost actions can support consensus optics, but the bigger issue is that AI-native workflow tools raise the ceiling for customer support automation while also lowering switching friction. That means the valuation multiple is likely to stay capped until management shows the savings are reinvested into product differentiation rather than simply offsetting margin pressure. The stock reaction implies the market is still in the “AI threatens seat-based software” phase; if that persists, any guidance beat may be treated as temporary rather than structural.

The more interesting trade is relative: TEAM and NOW are likely to be less vulnerable than CRM/FRSH because collaboration and ITSM are closer to workflow infrastructure, where AI can augment existing demand instead of directly cannibalizing it. CRM has the most exposure to the narrative that AI agents can substitute for portions of sales/service software, so it remains the cleanest short in the group if the market starts repricing software durability. A reversal would require evidence over the next 1-2 quarters that AI is expanding ACV and usage rather than simply reducing opex; absent that, rallies on layoffs may become fade opportunities.

Contrarian takeaway: the market may be overestimating the speed at which AI eliminates enterprise software budgets. In the next 6-12 months, most buyers will still pay for workflow control, auditability, and integration; the risk is not outright displacement, but slower net expansion and lower pricing power. That suggests the first-order losers are not the most expensive platform names, but the companies where AI progress is being communicated primarily through restructuring rather than differentiated product wins.

Key Decisions for Investors

• Short CRM / long NOW pair for the next 1-2 quarters: CRM has the clearest AI-displacement overhang, while NOW is more embedded in enterprise workflows; target ~5-8% relative underperformance if software multiples compress further.
• Use any post-news bounce in FRSH to fade into strength over the next 5-10 trading days; downside setup remains intact unless management can show accelerating billings or AI-driven product monetization in the next print.
• Maintain a tactical long TEAM versus FRSH on a 1-3 month horizon: TEAM is better positioned to be viewed as productivity-enhancing infrastructure rather than a target of AI substitution, with lower narrative risk.
• Buy downside protection on a basket of mid-cap SaaS into earnings season: 3-6 month puts or put spreads on FRSH/CRM to express the risk that guidance beats are offset by multiple compression.
• If looking for a contrarian long, wait for confirmation that layoffs translate into margin expansion over two quarters; only then consider a selective long NOW on a pullback, since the current market may be underpricing workflow stickiness.