According to a recent LinkedIn post from Celonis, Carsten Thoma’s CNBC appearance is used to frame artificial intelligence as the latest in a series of major technology paradigm shifts. The post quotes Thoma comparing AI to past transitions such as mainframe to client-server and cloud, while emphasizing that AI systems lack detailed understanding of how individual businesses actually operate.
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The LinkedIn post highlights this missing “context layer” as essential for making enterprise AI effective, suggesting that process-level insight is a critical complement to generic AI models. For investors, this framing aligns closely with Celonis’s core value proposition in process mining and execution management, implying that the company sees its technology as a key enabler for profitable and scalable AI adoption in large organizations.
The post also references a “Concorde moment,” noting that the supersonic jet reshaped aviation thinking despite never achieving sustained profitability. This analogy appears to suggest that early flagship AI initiatives may be strategically significant even if short-term economics are challenging, which could indicate a willingness by enterprises to invest in foundational AI and process intelligence capabilities.
For Celonis, positioning its offerings as the contextual engine that helps “enterprise AI fly” may support its role in digital transformation budgets rather than discretionary tools spending. If this narrative gains traction, it could reinforce Celonis’s competitive differentiation versus generic AI platforms and potentially enhance its long-term revenue outlook as enterprises seek to operationalize AI in complex, real-world processes.