Artificial intelligence is making intelligence abundant, but abundance changes where value resides. In this DataGuy Editorial analysis, we explore why context is beginning to behave like capital, how organizational memory creates durable competitive advantages, and why the most valuable companies of the intelligence economy may be those with the richest reserves of context.
Context Is the New Capital Read More »
As AI models become increasingly accessible, competitive advantage may shift toward organizational memory, proprietary knowledge, and context capital. Explore the emerging Context Economy and why context may become the most valuable asset in the intelligence era.
The Coming War for Context: Why Models Become Commodities and Context Becomes Capital Read More »
Artificial intelligence is changing software economics. As reasoning becomes a metered resource, software is shifting from a fixed-cost asset to a continuously funded intelligence infrastructure. This in-depth analysis explores AI-native software, agentic systems, intelligence liabilities, AI FinOps, and the future economics of software.
The End of Cheap Software: When Engineering Becomes a Variable-Cost Business Read More »
An in-depth analysis of Google I/O 2026 exploring how Search, Gemini, agents, commerce, and interfaces are evolving into operational intelligence systems and shaping the rise of the agentic internet.
Google I/O 2026 and the Rise of the Agentic Internet Read More »
System drift is a gradual misalignment that occurs in trusted systems over time. This article explores how drift forms, why it goes unnoticed, and its impact on decision systems.
System Drift: How Trusted Systems Quietly Misalign Read More »
A DataGuy manifesto defining earned intelligence, the system-level properties AI must have in 2026 to survive scale, scrutiny, and real-world use.
Earned Intelligence: The Only Kind That Scales in 2026 Read More »
