According to a recent LinkedIn post from Fluid AI, the company is emphasizing a shift in the artificial intelligence landscape from simple text generation toward more autonomous, workflow-oriented systems. The post references developments such as Perplexity’s multi-model orchestration, Anthropic’s large-scale probing of Claude, and tools where AI audits and patches code rather than just writing it.
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The post further points to emerging AI use cases in identity automation and the notion of models with defined life cycles, from launch through retirement, suggesting AI is becoming part of durable enterprise infrastructure. For investors, this framing implies that Fluid AI is positioning itself within the segment of AI focused on automation, security, and scalable enterprise deployment, areas that could support recurring revenue models and deepen competitive moats as organizations embed AI more deeply into their operations.