Enterprise AI is moving beyond its early chapters. The first phase was experimentation. Organisations tested generative AI in isolated pilots: chat interfaces, search tools, content generation, coding assistants, and internal productivity use cases. The second phase was feature inflation. Every SaaS vendor attached copilots, assistants, summaries, or “AI-powered” labels to existing products. The third phase is beginning to emerge, unevenly, and in early form. It is not abou

In the first part of this analysis, we explored the recent signals suggesting that OpenAI and Anthropic are increasingly moving closer to enterprise deployment, operational integration, and AI-enabled services ecosystems. In the second part, we explored the deeper strategic fear potentially driving this evolution: the risk that LLMs themselves become commoditised infrastructure. But there may be an even larger transformation now emerging underneath the surface. The real endga

The dominant narrative surrounding technology layoffs is deceptively simple: AI is replacing workers. But reality may be more structurally complex. A growing number of signals suggest that some layoffs may not reflect successful AI-driven productivity gains at all. Instead, they may reflect a transitional economic shock caused by the enormous costs of deploying AI systems before organisations have fully learned how to extract measurable business value from them. That distinct

Digital Pulse - A digital news strategically decrypted for IT leaders by Eastern Legacy La Banque Postale announced a three-year strategic partnership with Mistral AI to deploy generative AI capabilities across the bank’s operations. The initiative is particularly notable because the AI models and associated infrastructure will be deployed in an on-premise and sovereign environment within the bank’s own infrastructure ecosystem rather than relying exclusively on external hype