VCs See AI 'Tsunami' Coming for SaaS
A new AI "tsunami" is set to disrupt the startup world, with autonomous agents making single-purpose tools like AI code-gen platform Cursor obsolete, according to Insight Partners co-founder Jerry Murdock. He argues the next wave of analytics will be powered by open-source frameworks, or a "Claw stack," and that there are no longer any "safe" bets in AI investing — success will depend purely on execution.
The disruption is already being felt financially, with the software-as-a-service (SaaS) sector experiencing a significant selloff. In the first few weeks of 2026 alone, a market correction wiped over $285 billion from major software vendors as investors began pricing in the risk of AI-driven disruption to traditional subscription models. This shift is driven by AI agents and automation tools that threaten the core per-seat pricing model of SaaS. Gartner predicts that by 2030, 35% of single-purpose SaaS tools will be replaced by AI agents. This is forcing a move towards outcome-based pricing, as AI-powered automation is projected to replace up to 30% of traditional SaaS workflows by 2027. Venture capital is rapidly reallocating towards this new paradigm, with AI startups attracting a record one-third of all global venture capital. In 2025, VC investments in AI firms doubled their 2022 share to account for 61% of all VC investment globally, totaling over $258 billion. This includes massive rounds for companies developing core AI systems, such as Anthropic's $13 billion Series F, as investors back foundational infrastructure over single-use applications. The "Claw stack" refers to a new layer of the AI ecosystem built around open-source agent systems like OpenClaw. These frameworks allow AI agents to run on personal hardware and communicate via messaging protocols, enabling them to execute complex tasks autonomously and form the basis for the next wave of analytics tools. For mobile marketing, AI is transforming location-based strategies by enabling hyper-local personalization and predictive analytics. AI algorithms analyze real-time data like GPS, Wi-Fi signals, and user behavior to identify trends and deliver tailored campaigns, which has led to a 22% boost in marketing performance for brands using this tech. This trend is attracting significant investment, with location intelligence provider dataplor closing a $20.5 million Series B funding round in June 2025 to scale its global location data products. The company provides point-of-interest and mobility data on over 350 million locations, serving clients like Coca-Cola and Accenture. The health and fitness app market, a key vertical for location data, is also experiencing massive growth, projected to reach $13.81 billion in 2026 and expand to $45.45 billion by 2035. In 2025, health and fitness apps saw nearly 4 billion downloads, with in-app purchase revenue climbing 13% to a record $4.5 billion, fueled by AI integration. AI is a primary driver of this growth, with 28% of health and fitness apps now using AI-themed keywords to attract users. AI-powered features like personalized workout and nutrition plans, virtual coaching, and movement recognition technology are becoming standard, enhancing user engagement and creating new revenue streams.