Lack of consumer transparency and predictability in new “compute-based” usage limits

I am writing to express deep concern regarding the newly implemented “compute-based” usage limits for Google AI subscriptions. Moving away from a transparent, standard metric (like a turn count or word count) to a vague backend calculation based on prompt “complexity” creates a massive consumer transparency issue that needs to be addressed.
When a consumer purchases a utility or a digital subscription, there is traditionally a standard, auditable unit of measure—like cell phone minutes, gigabytes of data, or kilowatt-hours. The consumer can track their usage, understand exactly what they are paying for, and budget accordingly.
Under this new “compute-used” model, Google has introduced an invisible currency where the user is completely blind to the transaction math. Because “complexity” is a shifting, arbitrary yardstick determined entirely on the backend, users have absolutely no way to verify if a prompt actually required more processing power, or if the system simply tightened the valve to force manual credit top-ups. A casual text conversation that includes a few small notebook references shouldn’t burn through a massive percentage of a rolling 5-hour window, yet it does—penalizing the most loyal power users for utilizing core platform features like long context windows.
If a platform can dynamically alter what counts as a “complex” conversation at will, consumers are left with zero protection or justification to argue their billing. This lack of transparency forces users to walk on eggshells, creating an unviable consumer experience that will undoubtedly face legal and regulatory scrutiny regarding fair billing practices.
Please provide a clear, visible, and numerical counter (such as token or compute tracking) in the user interface so paying subscribers can actually audit what they are being charged for in real time.