Rethinking AI TCO: Why Cost per Token Is the Only Metric That Matters

Power is AI infrastructure’s inescapable constraint. How many tokens an AI factory can generate within a fixed power budget determines its revenue and profitability. Because of

As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they

<p>GPT-5.4 shipped on March 5. Seven weeks later, on April 23, 2026, OpenAI released GPT-5.5 — and the pace alone tells you something about where this race is headed. This isn't

<!-- SC_OFF --><div class="md"><p>Alibaba plans to raise about $10.2 billion through a Hong Kong share placement, with the proceeds going entirely toward its AI strategy.</p>

<p>Months after ChatGPT launched, I still could not have told you what a token was. I had been using it since the first public launch and was basically having novel-long

<!-- SC_OFF --><div class="md"><p>A Meta employee built a leaderboard on the company intranet called &quot;Claudeonomics&quot; that ranks token usage across 85k employees. top 250

<p>AI infrastructure is evolving fast.</p> <p>A few years ago, companies were only talking about “cloud computing.”<br /> Now the conversation has shifted to:</p> <ul> <li>

arXiv:2605.00300v1 Announce Type: new Abstract: Public inference benchmarks compare AI systems at the model and provider level, but the unit at which deployment decisions are