Every once in a while the future stops being theoretical and starts showing up in the data.
Right now that’s happening across energy, AI, and infrastructure all at once.
And the numbers are… kind of wild.
Let’s start with the big one.
AI is quietly becoming a massive electricity consumer
Data centers already use about 2–3% of global electricity today.
But according to the IEA, that could double by 2030.
In the U.S., the grid operator ERCOT recently projected that Texas electricity demand could grow 40% by 2030, largely driven by data centers.
For context:
• The entire U.S. grid took 50 years to grow that much demand the last time.
• Now it may happen in 7 years.
Why?
Because AI models are extremely energy hungry.
Training GPT-4–scale models can consume tens of gigawatt-hours of electricity.
That’s roughly the equivalent of thousands of homes running for a year.
And the training phase is just the beginning.
Inference (actually running AI models) runs 24/7.
That means persistent electricity demand, not occasional spikes.
Solar is scaling faster than any energy source in history
Now here’s where things get interesting.
The grid isn’t just growing demand. It’s also transforming how supply works.
Solar installed 447 GW globally in 2023, more than all other generation combined.
And the U.S. alone added roughly 32 GW of solar in 2024, according to industry estimates.
Solar is now:
• The cheapest form of electricity in many regions
• Installed faster than gas or nuclear
• Becoming distributed infrastructure, not just utility-scale plants
Which leads to the next big shift.
Batteries are turning electricity into software
Energy used to be simple.
Produce electricity → use it instantly.
Now batteries are breaking that rule.
Global battery storage capacity grew over 130% year-over-year in 2023, and analysts expect the market to reach $120B+ annually by the early 2030s.
Why does that matter?
Because batteries make electricity programmable.
You can:
• Store cheap solar at noon
• Sell it back to the grid at 7pm
• Power homes during outages
• Run virtual power plants across thousands of houses
Electricity is becoming a dynamic market instead of a static utility.
The real future is the intersection
The biggest opportunity isn’t just AI.
It’s not just solar.
It’s the collision of three megatrends:
AI × Energy × Infrastructure.
AI needs massive power.
Solar is producing massive power.
Batteries are making that power controllable.
That triangle is creating entirely new industries:
• AI-optimized power grids
• home energy systems acting as micro-utilities
• software that trades electricity automatically
• infrastructure funds pouring billions into storage
And most people are still thinking about energy like it’s 1995.
The AI your stack deployed is losing customers.
You shipped it. It works. Tickets are resolving. So why are customers leaving?
Gladly's 2026 Customer Expectations Report uncovered a gap that most CIOs don't see until it's too late: 88% of customers get their issues resolved through AI — but only 22% prefer that company afterward. Resolution without loyalty is just churn on a delay.
The difference isn't the model. It's the architecture. How AI is integrated into the customer journey, what it hands off and when, and whether the system is designed to build relationships or just close tickets.
Download the report to see what consumers actually expect from AI-powered service — and what the data says about the platforms getting it right.
If you're responsible for the infrastructure, you're responsible for the outcome.
One data point that says it all
In 2025, solar alone met about 61% of new electricity demand growth in the United States, according to Ember.
That’s not incremental change.
That’s the beginning of a new energy system.
The next decade won’t just reshape tech.
It will reshape how electricity is produced, stored, traded, and consumed.
And if you follow the data closely enough…
You can see the future arriving before everyone else does.
Powercord
Tracking the intersection of AI, energy, and infrastructure.



