{"id":314340,"date":"2025-06-20T07:10:01","date_gmt":"2025-06-20T14:10:01","guid":{"rendered":"https:\/\/www.saastr.com\/?p=314340"},"modified":"2025-06-21T07:42:15","modified_gmt":"2025-06-21T14:42:15","slug":"the-939b-question-is-ai-eating-saas-or-feeding-it","status":"publish","type":"post","link":"https:\/\/www.saastr.com\/the-939b-question-is-ai-eating-saas-or-feeding-it\/","title":{"rendered":"The $939B Question: Is AI Eating SaaS or Feeding It?"},"content":{"rendered":"

The Great Spending Showdown: AI vs SaaS in 2025\/2026 \u2014 What Every B2B Leader Needs to Know<\/strong><\/h4>\n

We’re witnessing the most dramatic shift in enterprise tech spending since the cloud migration began 15 years ago. And if you’re a B2B leader, founder, or investor, you need to understand what’s happening \u2014 because it’s about to reshape your entire world.<\/p>\n

The numbers are staggering: AI spending is set to hit $644 billion in 2025, growing at a mind-bending 76.4% year-over-year. Meanwhile, SaaS \u2014 our tried-and-true darling \u2014 is projected at $295 billion with a “mere” 18.4% CAGR.<\/strong><\/p>\n

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But here’s the uncomfortable truth the original convergence narrative missed: these markets ARE competing<\/strong><\/span>. And the evidence is mounting that AI startups aren’t just complementing SaaS \u2014 they’re actively hunting traditional SaaS incumbents for lunch. \u00a0Net net, few public SaaS leaders are actually seeing growth accelerate from AI. \u00a0Very few.<\/p>\n

The Predator vs. Prey Reality<\/h2>\n

The AI Funding Explosion That Should Terrify SaaS Leaders<\/h3>\n

Let’s start with the brutal math that should keep every SaaS CEO awake at night:<\/p>\n

2025 Reality Check: AI vs. SaaS Funding War<\/strong><\/h3>\n
    \n
  • $120+ billion<\/strong> in venture capital went to AI startups through Q2 2025 \u2014 with North American AI investments representing 86.2% of global AI funding<\/strong> ($79.74 billion)<\/li>\n
  • AI funding reached $5.7 billion in January 2025 alone<\/strong><\/li>\n
  • Traditional SaaS funding continues steep decline in 2025<\/strong> \u2014 with early-stage funding hitting lowest levels in 5+ quarters while AI dominates late-stage rounds<\/li>\n
  • AI startups earn 2-3x higher valuations<\/strong> across all stages compared to traditional SaaS companies<\/li>\n
  • 24 AI startups<\/strong> have already raised $100M+ rounds in just Q1 2025<\/li>\n
  • OpenAI’s $40 billion round in March 2025<\/strong> \u2014 the largest private funding round in history \u2014 alone represents 8.5x the entire SaaS sector’s 2024 funding<\/li>\n<\/ul>\n

    Translation: The “smart” money isn’t betting on traditional SaaS players.\u00a0 Not for the most part, at least.<\/strong><\/p>\n

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    The Billion-Dollar AI Unicorn Factory<\/h3>\n

    The scale of AI startup funding isn’t just impressive \u2014 it’s existential for SaaS:<\/p>\n

    The AI Billion-Dollar Club:<\/strong><\/p>\n

      \n
    • OpenAI<\/strong><\/span>: $8.4 billion total funding, $157 billion valuation<\/li>\n
    • Anthropic<\/strong><\/span>: $8.4 billion in funding<\/li>\n
    • xAI<\/strong><\/span>: $6.4 billion (two $6B rounds in 2024 alone)<\/li>\n
    • Sierra<\/strong><\/span> (Bret Taylor): $4.5 billion valuation after 175M round<\/li>\n
    • Scale AI<\/strong><\/span>: $29 billion valuation \/ “sale” with Meta’s $14.3 billion stake<\/li>\n
    • Waymo<\/strong><\/span>: $10.5 billion in funding<\/li>\n<\/ul>\n

      Compare this to the largest SaaS IPOs of the past decade \u2014 most topped out at $1-2 billion in total funding over their entire lifecycle.<\/p>\n

      The Klarna Experiment: Early Signal or Outlier?<\/h2>\n

      The most talked-about case study in the AI vs. SaaS debate comes from Klarna, the $20 billion fintech that made headlines by dropping Salesforce and Workday in favor of AI-powered alternatives.<\/p>\n

      What Klarna reported:<\/strong><\/p>\n

        \n
      • AI-powered customer service bot automated two-thirds of customer service chats, replacing 700 employees<\/li>\n
      • Query resolution time dropped from 11 minutes to 2 minutes<\/li>\n
      • Workforce reduced from 5,000 to 3,800 employees, targeting 2,000<\/li>\n
      • Average annual revenue per employee jumped to $700,000 from $400,000<\/li>\n<\/ul>\n

        CEO Sebastian Siemiatkowski’s take<\/span>:<\/strong> “Thanks to AI agents + AI engineers getting prolific, you can rebuild most enterprise SaaS functionality, host for super cheap, and get basically 90%+ functionality”<\/p>\n

        The reality check<\/strong><\/span>: Klarna is still largely an outlier. The company later clarified it didn’t actually “replace” Salesforce with pure AI \u2014 it consolidated data onto its own tech stack using tools like Neo4j and built new interfaces. Industry observers like Josh Bersin remain skeptical about replicating complex systems like Workday’s payroll and compliance frameworks.<\/p>\n

        What makes Klarna’s case unique:<\/strong><\/p>\n

          \n
        • Fintech with significant engineering resources<\/li>\n
        • CEO actively seeking attention ahead of 2025 IPO<\/li>\n
        • Company culture willing to experiment aggressively<\/li>\n<\/ul>\n

          The broader question<\/strong><\/span>: While Klarna grabs headlines, how many other enterprises have the resources, risk tolerance, and technical sophistication to attempt similar replacements? The answer today is: very few. But that could change rapidly as AI tooling improves and more case studies emerge.<\/p>\n

          The AI-Native Attack Pattern<\/h2>\n

          Traditional SaaS companies face threats from three distinct AI-native attack vectors:<\/p>\n

          1. Vertical AI Dominance<\/h3>\n

          Vertical AI startups captured over $1 billion in combined funding in 2025 YTD, surpassing infrastructure and horizontal AI categories. These aren’t general-purpose tools \u2014 they’re laser-focused solutions targeting specific SaaS incumbents:<\/p>\n

          Healthcare & Life Sciences<\/strong>: 14 companies in CB Insights’ AI 100<\/p>\n

            \n
          • Disrupting: Epic, Cerner, Veeva<\/li>\n
          • Advantage: Domain-specific data and regulatory expertise<\/li>\n<\/ul>\n

            Financial Services<\/strong>: AlphaSense ($1.4B funding) for market intelligence<\/p>\n

              \n
            • Disrupting: Bloomberg Terminal, FactSet<\/li>\n
            • Advantage: Real-time AI analysis vs. static dashboards<\/li>\n<\/ul>\n

              Legal<\/strong>: Harvey for legal agents, Caseflood for law firm operations<\/p>\n

                \n
              • Disrupting: LexisNexis, Westlaw<\/li>\n
              • Advantage: Natural language processing vs. keyword search<\/li>\n<\/ul>\n

                2. AI Agent Revolution<\/h3>\n

                Nearly 90% of code at high-growth SaaS companies is now AI-generated, up from 10-15% just 12 months ago. This isn’t just about productivity \u2014 it’s about economic disruption<\/strong>:<\/p>\n

                The Agent Economics:<\/strong><\/p>\n

                  \n
                • Traditional SaaS: $3,500 per employee annually across organizations<\/li>\n
                • AI Agents: Can replace entire job functions for <$100\/month<\/li>\n
                • The math may be devastating for high priced seat-based pricing models<\/strong><\/li>\n<\/ul>\n

                  3. The Infrastructure Bypass<\/h3>\n

                  Midmarket software companies are caught in a “pressure cooker” with fast-moving AI startups developing applications far more rapidly than traditional software companies on one side, and tech giants investing billions in proprietary AI tools on the other.<\/p>\n

                  The squeeze play:<\/strong><\/p>\n

                    \n
                  • Above<\/strong>: Microsoft, Google, Amazon bundle AI at costs small SaaS can’t match<\/li>\n
                  • Below<\/strong>: AI-native startups develop faster with modern architectures<\/li>\n
                  • Result<\/strong>: More than 100 midmarket software companies face survival threats in the next 24 months<\/li>\n<\/ul>\n

                    The Real Convergence vs. Conquest Numbers<\/h2>\n

                    Let’s separate the happy convergence talk from the harsh conquest reality:<\/p>\n

                    SaaS: The Steady Performer Under Siege<\/h3>\n
                      \n
                    • $295 billion market in 2025 with 18.4% growth<\/li>\n
                    • But<\/strong>: Public SaaS company valuations have retreated to 2016 levels while P\/E multiples for the broader market have grown<\/li>\n
                    • And<\/strong>: Salesforce shares fell 20% after weak earnings, marking the worst trading day since 2004<\/li>\n
                    • Reality<\/strong>: Revenue growth rates for public SaaS companies are decelerating<\/li>\n<\/ul>\n

                      AI: The Explosive Disruptor<\/h3>\n
                        \n
                      • $644 billion in 2025 \u2014 already 2x the size of SaaS<\/strong><\/li>\n
                      • 76.4% growth rate vs. SaaS’s 18.4%<\/li>\n
                      • Critical insight<\/strong>: Gen AI reached 2% market share in about a year vs. SaaS’s four years<\/li>\n
                      • Projection<\/strong>: Gen AI primed for 10% of related spending by 2028 \u2014 three times faster than SaaS adoption<\/li>\n<\/ul>\n
                        \n
                        \n

                        Growth Rates of Public SaaS Companies pic.twitter.com\/ydUTRwEdUM<\/a><\/p>\n

                        — SaaStr.ai (@saastr) June 15, 2025<\/a><\/p><\/blockquote>\n