Will SaaS Survive the Era of Foundation Models?
Foundation models like GPT-4o or 5 can do it all – from copywriting to data analysis. So why do we still need specialised software? The answer: it’s not about what AI can do, but how and where it delivers genuine business value.
What’s under threat, and what will thrive?
Generic SaaS solutions are being cannibalised by powerful foundation models like GPT, Claude, and Gemini. Copywriting tools, presentation apps, and routine data analysis can now be fully automated, faster and better than ever. The future, however, belongs to SaaS platforms with real depth and business impact.
The success factors for tomorrow’s SaaS:
- Vertical SaaS: Deep industry focus, tailored workflows and regulatory expertise form the backbone of lasting business success.
- Proprietary Data & Ontologies: Those with unique, structured data and insights will win where foundation models cannot go.
- Workflow Ownership: SaaS must own entire workflows – not just provide basic features.
- Human-in-the-loop: Coaching, expert feedback and responsible decisions will remain essential and human-driven.
- Agent Orchestration: Smart control and integration of foundation models, tools and data increases efficiency.
- Audit & Governance SaaS: Trust, control and transparency are vital for business-grade AI and SaaS deployments.
Conclusion: SaaS will survive where it simplifies decisions, minimises risks and structures responsibility. AI brings the power, but only specialised SaaS makes it useful – in daily operations, with relevant context and for real results.
👉 Read the original LinkedIn post by Andreas G. Stütz (CIO, IDEASCANNER) here.
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