July 2026
Intermediate
54 pages
1h 12m
English
Content preview from Why Distributed SQL Is the Modern Foundation for AI
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Chapter 1. The AI Application Revolution
Artificial intelligence (AI) is no longer confined to experimentation at the edges of the enterprise. It has moved into core workflows, decision systems, and customer-facing applications. This integration has reshaped expectations about speed, insight, and automation. As AI capabilities accelerate, the demands placed on underlying systems, particularly databases, increase just as rapidly.
This chapter explores how the exponential growth of AI is influencing enterprise adoption patterns and exposing structural gaps in traditional architectures. The chapter examines how organizations interpret change acceleration and how AI adoption reshapes expectations around build-to-last architectures. The chapter concludes with a look at why modernization efforts must extend beyond the application layer and into the database and infrastructure as well.
Comprehending the Exponential Growth of AI
Organizations struggle with AI adoption because they plan for linear improvement while AI capabilities evolve nonlinearly. Traditional systems improve in predictable increments, which supports steady planning, budgeting, and scaling assumptions. AI does not follow this pattern.
Exponential growth appears gradual at first but accelerates rapidly as each improvement compounds on the last. Early progress may seem incremental, but once capability reaches a threshold, each subsequent doubling produces significantly greater impact. Figure 1-1 illustrates this concept. ...
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