
The AI Spending Blind Spot
Organizations are pouring money into AI tools while junior engineers rack up token bills nobody expected. The real problem isn't adoption anymore — it's efficiency.
Growth • AI innovation • Product engineering

Organizations are pouring money into AI tools while junior engineers rack up token bills nobody expected. The real problem isn't adoption anymore — it's efficiency.

Forget autonomous agents for a moment. One of the actual AI opportunities is fixing information fragmentation — structured systems where AI assists, humans decide, and nobody wastes time on reports.

With AI tooling and workflow optimization, one engineer built a full business management platform in spare evenings. When your capacity multiplies, your spare time becomes a launchpad.
Engineer solving problems. Engineering products. I'm Gediminas—Geddy for short—Senior Web Engineer / Lead with 20+ years of web engineering experience across 10+ companies and 50+ projects. After years as an independent contractor working in highly competitive environments since 2017, I transitioned into engineering leadership over a year ago. I write about this shift from IC to leadership, leveraging AI in product development, and building scalable architectures. My focus is on sharing practical insights from navigating this evolution while maintaining technical depth.