What is changing in data center development, why it matters, and what better projects can learn from it.
Good Data Center turns market, infrastructure, policy, project, capital, and community developments into practical intelligence for stronger project decisions.
Digital Realty’s $20M Household Benefit Model
Up to $1,000 per De Soto household each year for 10 years creates a direct, early, household-level model of community value.
Amazon committed $1 billion to data center communities. The bigger shift is what comes with it.
Built Together pairs community investment with workforce, affordability, transparency, ratepayer protection, and new operating commitments.
Read the deep dive →The $10.3 trillion AI buildout: what the biggest infrastructure bet in generations would actually require.
A Brookings/BPEA scenario deconstructs the capital, power, financing, and project-realization assumptions behind the AI infrastructure buildout.
Read the deep dive →New York put a number on community value for data center development.
A voluntary $1 million-per-megawatt starting benchmark moves community value earlier into the project-development record.
Read the analysis →Canada set a national baseline for responsible data center development.
Twenty-three major industry participants backed five principles covering community value, ratepayer protection, water, transparency, and strategic value.
Read the analysis →ERCOT stopped studying huge data center loads one by one. That is the development lesson.
Texas is responding to the large-load queue by studying qualifying projects together and looking at the system as a whole.
Read the analysis →Columbia County turned data center concerns into project rules.
Noise, water, power costs, visibility, lifecycle planning, and community value became specific project terms.
Read the analysis →Texas asked data centers for water data. The missing answers are a development problem.
Shared facts are project infrastructure when public systems need to plan around rapidly growing demand.
Read the analysis →CyrusOne is trying to earn trust before projects harden.
Earlier community engagement, project-specific facts, infrastructure responsibility, and operating details are becoming part of development strategy.
Read the analysis →The goal is better project decisions.
Good Data Center Intelligence separates source facts, claims, scenarios, evidence status, and analysis. Recurring patterns should sharpen project questions, safeguards, host readiness, commitments, and assurance.
Find material developments early.
Track projects, utilities, governments, communities, policy, infrastructure, capital, and market signals.
Separate evidence from assertion.
Keep source, date, claim type, evidence status, scenario assumptions, and uncertainty visible.
Ask what changes for the project.
Connect the development to design, approvals, infrastructure, cost, public confidence, commitments, financing, or delivery.
Carry the lesson into future work.
Update project questions, issue registers, evidence standards, solution options, and assurance records.
Positive practice belongs beside project failures.
The Case Library records what happened, what it reveals, and how the Framework would respond. The strongest operating model learns from both.
Working through a similar issue?
Bring the project question into the Framework and connect it to the broader decision record.