How much electricity does ChatGPT use?

Today, we’re looking at the invisible price tag behind your favorite chatbot. As usage explodes, so does energy consumption, raising real questions about whether AI can scale without burning out the grid. Also looking at Armor Health’s new partnership with Antidote-AI brings real-time analytics and predictive tools to correctional care potentially improving outcomes.

In today’s post:

• The hidden cost of every AI prompt

• AI is coming to prison healthcare

• Fashion Weeks Are Going Fully Digital

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RESEARCH

Why asking ChatGPT a question burns more energy

AI might feel invisible but it’s not weightless. Every time you use a chatbot, you're tapping into a massive, energy-hungry system.

Here’s everything you need to know:

• AI chatbots use far more electricity than traditional apps, especially search engines.

• Inference (generating responses) is costly, but training models like GPT-4 is even worse.

• Training GPT-4 used about 50 gigawatt-hours enough to power San Francisco for 3 days.

• Energy use is soaring: AI now accounts for 4.4% of U.S. electricity in data centers.

• One reason? Bigger models = better performance, but also higher energy demands.

• Most energy data from Big Tech is hidden or vague, which makes accountability tough.

• Researchers are calling for more transparency and users can help push for it.

Here’s what I think:

AI feels magical because we never see the servers. But scale hides cost. If we’re going to use these tools responsibly, we need a clear picture of what they consume and whether that’s sustainable long term.

PARTNERSHIP

Armor Health teams up with Antidote-AI to bring AI to correctional care

Correctional healthcare rarely makes headlines. But a new partnership between Armor Health and Antidote-AI might quietly reshape how care is delivered in prisons.

Here’s everything you need to know:

• Armor Health is embedding Antidote-AI’s clinical tools into its Insights Analytics platform.

• The goal: give providers real-time data and objective risk scoring to improve treatment decisions.

• Antidote’s AI has already been tested across 40,000+ patients — now it's being tailored for incarcerated populations.

• This includes AI-driven clinical pathways to speed up decision-making and standardize care.

• Armor sees this as a major leap beyond current correctional healthcare tech offerings.

• Rollouts have begun across Armor’s portfolio of facilities nationwide.

• The move reflects a growing trend: using AI to improve outcomes in high-need, under-resourced systems.

Here’s what I have in mind for this:

Correctional healthcare is one of the most complex, overlooked parts of the medical system. If AI can deliver real-time insights without overstepping ethical lines, it could mean better, faster care for a population that often gets neither.

BREAKTHROUGH

From stitch to simulation: AI is reshaping the runway

Fashion Week has always been a spectacle. Now, thanks to AI, it’s becoming a simulation and designers might never go back.

Here’s everything you need to know:

• AI-generated models and virtual runways are replacing stitched samples and physical shows.

• At NYFW 2025, Ralph Lauren launched “Ask Ralph,” a personal AI stylist trained on decades of fashion archives.

• Alexander Wang used AI-generated visuals to design his runway backdrops, part fashion, part futurism.

• In India, the INARA show went fully virtual, staging an entire runway in VR with AI-designed garments.

• Design schools are shifting too, students now use AI to simulate fabrics and render digital collections.

• This means fewer physical samples, faster iteration, and less international shipping.

• But not everything translates: touch, fit, and the energy of live fashion are hard to replicate.

Here’s what I think:

Fashion has always thrived on bold moves and AI is one of its boldest yet. It won’t replace the runway entirely, but it will expand what “runway” even means. In this new era, creativity isn’t limited by cloth or time just by imagination.

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