Companies question cost of AI as tokenmaxxing spending adds up
Companies are increasingly questioning the high costs of artificial intelligence as "tokenmaxxing" spending — heavy investment in AI tokens and infrastructure — continues to climb without clear returns, raising concerns about sustainability and ROI across the tech sector.
Background
- "Tokenmaxxing" is a term coined in this article for the race among big tech firms (Microsoft, Google, Amazon, Meta) to spend tens of billions on AI chips, data centres, and energy — betting that massive compute will lead to breakthrough AI.
- The core tension: these investments haven't yet produced proportional revenue, and some companies are now asking if the return is worth it, especially after DeepSeek (a Chinese AI lab) showed strong results with much less compute.
- "Tokenomics" here plays on "tokenomics" (the economics of crypto tokens) to mean the economic logic of spending on AI tokens—the basic units of text/processing that AI models use.
- This debate matters because if major players decide AI spending is wasteful, it could deflate the boom that has driven much of the stock market's recent gains and reshaped the tech industry's priorities.