Month: January 2026

What Is the Scaling Myth in AI?

AI scaling (bigger models, more compute) hits diminishing returns. Organizations building specialized, domain-specific AI on proprietary data outperform generic LLMs while controlling costs and reliability....

Why Most Multi-agent AI Systems Fail?

Most multi-agent AI systems fail because coordination overhead destroys performance faster than adding agents creates value. Serial dependencies (points where agents wait for each other)...

AMD’s Pricing Power a Game Changer?

AMD controls pricing power in data center CPUs because of constrained supply, better performance-per-dollar, and TSMC wafer shortages. The company holds 39.4% server market share...