Intelligence Becomes a Commodity: The Electron Economy

Design for near‑zero marginal intelligence: when digital workers cost electrons, automate end‑to‑end tasks and rethink pricing models.

Sep 29, 2025 0m 22s

Steve Brown

Expert Insights

Steve Brown highlights the seismic shift that the AI economy brings to the software development scenario. With AI's application, engineering teams can achieve more while spending significantly less, changing the fundamental economics of project planning and execution.

Take note as Steve discusses:

The concept of "digital employees" and how AI is instrumental in bringing this to life.
Why 'working for electrons' fundamentally changes economic calculations in software development projects.
The implications for team structure, project management, and budgeting in an era where computational power becomes a core business asset.

Digital employees essentially that will work for the cost of electrons. They'll work for electrons, not, not dollars and cents. And that changes the equation.

— Steve Brown, AI Futurist & fmr exec @ Google DeepMind & Intel

THE NEW DEFAULT angle

Here are tangible actions for software teams:

Evaluate your extant project costs: Reflect on the financial implications of deploying AI. What manual tasks could be automated with AI, hence reducing the costs of operation?
Reconsider your team structure: Some roles may become redundant or evolve as AI adoption increases. Plan the transition thoughtfully to maintain team morale and efficiency.
Gain financial fluency: Developers and PMs alike should understand the cost implications of their decisions in this new AI economy. Build a cost model that incorporates computational power as a key resource.
Anticipate the long-term savings: As AI is typically an upfront investment, with payoffs over time, ensure decision makers on the team understand the financial trajectory. Assess your budget and make strategic adjustments where necessary.