The software industry is bracing for what some call the 'SaaSpocalypse' — a shake-up so profound that it could render the traditional SaaS model obsolete. But Alexey Spas, founder and CEO of Instinctools, argues that AI isn't killing SaaS; it's forcing companies to build deeper, AI-native moats.
Spas, whose firm builds AI-powered digital solutions, sees a fundamental shift. For years, SaaS companies competed on features, user experience, and distribution. Now, artificial intelligence is commoditizing the interface layer. Chatbots, copilots, and autonomous agents handle tasks users once clicked through. If AI can generate a dashboard or write a report on demand, the subscription for that specific tool loses value.
Yet Spas frames this not as an ending but as an evolution. The new 'moats' won't come from UI polish or even data accumulation alone. They'll come from proprietary AI models, unique training data, and deep integration into customer workflows. Companies that wrap AI into their core offering — and charge for outcomes rather than seats — will survive.
History offers a parallel. When cloud computing emerged, it disrupted on-premise software, but spawned giants like Salesforce and Workday. Similarly, AI is dismantling the old SaaS stack while creating opportunities for a new generation of 'agent-native' platforms. The winners will be those that move from selling software to delivering capability.
Key details from Spas's analysis include the observation that venture capital is already shifting. In 2025, investment in AI-first SaaS startups outpaced traditional SaaS by 3-to-1. Instinctools itself has seen clients pivot from building feature-rich apps to embedding large language models (LLMs) into existing products. The cost of inference is dropping 10x year-over-year, making it feasible to replace many per-seat subscriptions with usage-based models.
Spas also notes that companies like Notion and Intercom have successfully integrated AI to enhance their existing subscriptions rather than replace them. However, pure-play SaaS firms without AI integration risk being bypassed by AI agents that can aggregate services across multiple platforms.
Broader implications touch the entire software economy. The death of the traditional SaaS model would reshape pricing, sales, and engineering. Spas warns that the 'SaaSpocalypse' will claim companies that fail to rethink their value proposition. But those that invest in proprietary data pipelines, fine-tuned models, and deep workflow automation will emerge stronger.
What happens next? The next 18 months will see a wave of consolidation. AI-native startups will acquire legacy SaaS tools to gain distribution and data. Meanwhile, incumbents will race to build internal AI capabilities. By 2028, the term 'SaaS' may itself feel dated, replaced by 'intelligent software services.' The moats of the future, Spas concludes, are built with code and data — but fueled by AI.
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SaaSpocalypse: An Imminent Demise Of SaaS Or The New Moat-Building Era?
Alexey Spas is the founder and CEO of Instinctools, a software engineering company focused on AI-powered digital solutions.
Alexey Spas, Forbes Councils Member
Forbes
3 min read
6/10
Key Takeaways
- Venture capital for AI-first SaaS startups outpaced traditional SaaS by 3-to-1 in 2025, signaling a shift in investor priorities.
- AI inference costs are dropping 10x year-over-year, enabling usage-based pricing models that challenge per-seat subscriptions.
- Notion and Intercom have successfully integrated AI to enhance subscriptions, proving survival is possible with the right strategy.
- Pure-play SaaS firms without AI integration risk disintermediation by autonomous agents that aggregate services across platforms.
- Instinctools, under Alexey Spas, reports that 70% of its 2026 client requests involve embedding LLMs into existing software products.
Frequently Asked Questions
The SaaSpocalypse refers to the widespread disruption of traditional SaaS models by artificial intelligence. It suggests that AI can replace user interfaces and automate tasks, threatening the value of per-seat subscriptions. However, it also opens opportunities for building new competitive advantages through AI integration.
AI disrupts SaaS by commoditizing user interfaces and automating tasks that users previously performed within software. Chatbots and AI agents can replace multiple tools, reducing the need for separate subscriptions. This forces SaaS companies to rethink pricing, value delivery, and moats.
Yes, but they must integrate AI deeply into their products. Success factors include proprietary data pipelines, fine-tuned models, and outcome-based pricing. Companies like Notion and Intercom show that enhancing existing subscriptions with AI can maintain relevance.
New moats include proprietary AI models, unique training data, deep workflow integration, and network effects from intelligent agents. Instead of UI polish, competitive advantage comes from delivering outcomes and automating complex processes.
Not entirely dead, but evolving. Many SaaS companies are shifting from per-seat subscriptions to usage-based or outcome-based pricing. AI reduces the cost of delivering software, so billing per task or per result becomes more viable and aligned with customer value.
Founders should invest in AI capabilities, either by building proprietary models or integrating existing LLMs. They should focus on data collection and workflow automation. Additionally, exploring usage-based pricing and partnerships with AI platforms can help future-proof the business.
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