Hello, my friends! Welcome back to my latest analysis report.  

For this report, I am focusing on a new index, LLM Token Expenditure Index (Bloomberg Ticker: SDLLMTK) created by Silicon Data. I recently stumbled across this index and realized it an incredible tool for gauging the latest development and adoption of Artificial Intelligence (AI).

Put simply, the index is representing the average price the market is paying for 1 million tokens. According to Silicon Data, it mentioned on their official X account:

"Our LLM Token Expenditure Index should really have been named the “Token Expenditure Price Index” bc it’s an expenditure or usage-weighted average token price index. It tells you how much currently the entire market AI is paying for a million LLM tokens irrespective of models.

The naming might’ve led to some misinterpretations as some seem to have interpreted the index as either the total volume of token used or the average price of tokens. In reality, the index captures something more subtle than either interpretation: it tells us the marginal willingness to pay for LLM models." (emphasis added) 

You may think of this new index the way macro investors look at oil prices. In other words, the index tells us the supply and demand of the token as well as the underlying health of the AI ecosystems. By tracking the index like any other commodities, we can better identify structural trends in AI usages and help us make less 'foolish' investment decisions. 

What are your thoughts? Let me know where you find any flaws in the comments below!