AI training
AI & Automation
AI Training vs AI Inference: The Two Economies of Artificial Intelligence
The economics of AI training versus inference: why training is a one-time capital expense while inference is the recurring cost that determines AI viability.
AI & Automation
AI Compute Scaling: Why the Shift from Training to Inference Changes Everything
Inference now consumes two-thirds of all AI compute, reshaping hardware, economics, and business models. The cost per token is dropping 10x yearly.
Skills & Careers
AI Literacy for Business Leaders: What You Need to Know Without Being a Developer
The meeting room has changed. Where executives once debated market strategy or supply chain logistics, they now weigh AI vendor pitches, approve automation budgets, and sign off on deployment plans for systems they may not fully understand.
Infrastructure & Cloud
Generative AI: How It’s Rebuilding Cloud Infrastructure From the Ground Up
Introduction The cloud infrastructure industry spent its first two decades optimizing for one type of workload: stateless, horizontally scalable web applications. The result was an extraordinary ecosystem — massive data centers filled with CPU-based servers, high-bandwidth
Skills & Careers
Algeria’s Scale Centers: Inside the National Upskilling Program That Could Train 100
In the global race to build AI capacity, the bottleneck is almost never algorithms or compute — it is people. Countries that produce the most skilled AI practitioners will capture the most economic value from the technology.
