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

Why most IT sourcing strategies fail, and what to do instead? By Eastern Legacy Advisory The uncomfortable truth about sourcing Most organisations still treat sourcing as a procurement exercise. Write the RFP. Run the process.Negotiate the contract. Select the vendor. Then hope it works. But in 2026, this model is no longer just outdated — it is structurally flawed. Because sourcing is no longer about choosing a supplier. It is about orchestrating a complex, multi-layered eco

For decades, the digital economy ran on certainty. Traditional software systems followed fixed rules: if X happens, do Y. Payroll systems calculated salaries. Banking platforms processed payments. ERP tools matched invoices. Behind the scenes, logic was deterministic, repeatable, and auditable. Now a new model is emerging. Artificial intelligence is shifting software development from the classic Software Development Life Cycle (SDLC) toward an AI Development Life Cycle (AIDLC