Your AI Agent Has a Carbon Footprint. Nobody's Measuring It.

Description and use

<p>Your AI agent has a carbon footprint. Not the datacenter's footprint, not the training run's — <em>your agent's</em>, for the specific task it just ran. And nobody is measuring it.</p> <p>I just published a white paper on this (<a href="https://doi.org/10.5281/zenodo.23282699" rel="noopener noreferrer">open access, DOI 10.5281/zenodo.23282699</a>). Here's the plain-language version.</p> <h2> The gap </h2> <p>Every carbon tool we have stops at the boundary of a single model call. Cloud dashboards give you monthly totals by service. EcoLogits estimates per-API-call energy. All useful — and al

Problem

<p>Your AI agent has a carbon footprint. Not the datacenter's footprint, not the training run's — <em>your agent's</em>, for the specific task it just ran. And nobody is measuring it.</p> <p>I just published a white paper on this (<a href="https://doi.org/10.5281/zenodo.23282699" rel="noopener noreferrer">open access, DOI 10.5281/zenodo.23282699</a>). Here's the plain-language version.</p> <h2> The gap </h2> <p>Every carbon tool we have stops at the boundary of a single model call. Cloud dashboards give you monthly totals by service. EcoLogits estimates per-API-call energy. All useful — and al

Outcome

<p>Your AI agent has a carbon footprint. Not the datacenter's footprint, not the training run's — <em>your agent's</em>, for the specific task it just ran. And nobody is measuring it.</p> <p>I just published a white paper on this (<a href="https://doi.org/10.5281/zenodo.23282699" rel="noopener noreferrer">open access, DOI 10.5281/zenodo.23282699</a>). Here's the plain-language version.</p> <h2> The gap </h2> <p>Every carbon tool we have stops at the boundary of a single model call. Cloud dashboards give you monthly totals by service. EcoLogits estimates per-API-call energy. All useful — and al

Evidence

Your AI Agent Has a Carbon Footprint. Nobody's Measuring It.

Source