Whalesbook
The Squeeze on Gross Margins
The software sector, once a favored investment, is facing a tough reality. Accumulated small expenses are eroding profitability, even when revenue growth looks strong. Rising cloud infrastructure costs, especially for AI compute, are pressuring gross margins that were once a key strength of SaaS. Unlike older software models with minimal per-user costs, AI applications require significant ongoing spending on development and inference. This can slash gross margins from over 70-80% to 40-50%, turning minor overheads into major drains.
Delayed Investments Hurt Long-Term Growth
The impact of small, delayed decisions is compounding for SaaS firms. Failing to invest strategically in R&D, especially for AI, creates a disadvantage. The iShares Expanded Tech-Software Sector ETF (IGV) fell 30% by Q1 2026, showing a market shift where AI is seen more as a disruptor than just a growth tool. This repricing has pushed SaaS valuations to lows not seen in over a decade. Forward enterprise value to revenue multiples for 2026 are now around 5.5x, well below past highs and the S&P 500 average. Investors now demand clear profitability, not just growth. This shift is driven by rising operational costs and slow investment. Consumer subscription fatigue is also a factor, making customers more mindful of value.
Why Investors Are Wary: Costs and AI
Skeptical investors view the sector as weighed down by its past success. The promise of recurring revenue has hidden a steady decline in gross margins. Increasing cloud service costs, partly due to AI, are a top worry. In fact, 89% of surveyed SaaS CFOs report these costs are hurting their margins. For AI-focused companies, compute expenses can exceed 40-50% of revenue, changing the fundamental economics. Add to this the combined impact of many small, recurring subscriptions and software licenses that businesses and consumers often overlook or fail to optimize. Delaying AI integration or handling it poorly means not only higher costs but also falling behind rivals who effectively monetize AI features. This slow adaptation to rising operational expenses and tech shifts fuels a bearish outlook, suggesting many companies are priced on outdated models, not future profit potential.
Finding Profitability in the New SaaS Era
Companies successfully navigating this landscape prioritize operational efficiency and smart AI adoption. The 'Rule of 40', which balances revenue growth with profit margins, is now a key test of financial discipline. Many firms are optimizing cloud use and cutting redundant software to manage rising compute costs. For AI-first SaaS, pricing must reflect actual usage and development expenses, moving beyond old per-seat models. The market is starting to favor companies with real AI monetization plans over those just discussing AI. Strong customer success and retention also help control churn and ensure steady revenue. As valuations adjust, the focus shifts to sustainable profitability, requiring careful management of both major investments and everyday operational spending.