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Tokenmaxxing Madness Brings Anthropic To Profitability

Wall Street Millennial | June 6, 2026



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In this video we analyze the AI company Anthropic as well as the recent phenomenon of Tokenmaxxing.

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#wallstreetmillennial

0:00 – 3:15 Intro
3:16 – 8:35 Is Anthropic Profitable?
8:36 – 11:09 Lines of Code
11:10 – 14:15 Tokenmaxxing
14:16 – 19:20 The Productivity Hoax
19:21 Fear Based Marketing

Written by Wall Street Millennial

Comments

This post currently has 35 comments.

  1. @thomas-sinkala

    June 6, 2026 at 1:34 am

    I bought Claude code to use Claude design. A few prompts and it limits you. You can’t get real work done with that so I wouldn’t be renewing.

    I pay for OpenAI codex, the limit isn’t bad and I can actually do work with it.

  2. @Chotchskey

    June 6, 2026 at 1:34 am

    Funny when their profitability and growth are in question they universally come up with a trend to use the programs and software more… can anyone else see the writing on the wall? 🙄🤔

  3. @Alan.livingston

    June 6, 2026 at 1:34 am

    I work for a massive US corporation. Tech is not the core business. D&T is seen exclusively as a cost centre and every step of the way costs are cut and the cheapest option is always seen as the best. With this in mind you, dear listener, will not at all be surprised to hear that we own a couple of facilities in a emerging country where we hire every third string engineer who wasn’t good enough to emigrate to Silicon Valley. If the PR’s we were sent would even run let along meet even the vaguest interpretation of the acceptance criteria it was considered a minor miracle.

    Then along came vibe coding and our sanity was saved. Instead of half baked human slop they just fed the AC’s into the sausage maker and sent us the machine slop instead. Yes, most of it is still garbage, but it is significantly better than what we were being sent prior.

    It’s companies like mine that will power anthropic.

  4. @andyl.1933

    June 6, 2026 at 1:34 am

    Using tokenmaxxing as an IPO PR tool could backfire immediately if corporates cut budgets and users switch to cheaper Chinese alternatives. Both are happening. It’s alarming. How will the share price develop?

  5. @cyruslupercal9493

    June 6, 2026 at 1:34 am

    Tokenmaxxing can't make them profitable. Every token spent costs them because they still subsidise them.
    They just got a discount on datacenter use for a few months.

  6. @TheCreativeLlama17

    June 6, 2026 at 1:34 am

    There’s a famous example from India where in Delhi there were too many cobras, so the British gave incentives to anyone who brought in a dead cobra. Instead of killing cobras, locals would breed the cobras and kill them so they could get the money from the British 😂.

  7. @ContrarianBarbarian

    June 6, 2026 at 1:34 am

    2 real world data points against your argument (instead of controlled experiment):
    Stackoverflow was essential for programmer productivity before LLM. Stackoverflow traffic has nosedived after LLM.

  8. @evanmcdonnal

    June 6, 2026 at 1:34 am

    With regard to the productivity hoax… One year of Python experience is no where near the requirements of a junior engineer just a decade ago. A few years ago a serious tech company would generally expect a degree in computer science where a student studied in either C++ or Java. One year of Python experience is not even equivalent to the first year of a proper CS education. Also note, many students who graduate with CS degrees (even from prestigious universities) cannot do basic programming tasks. These tools have no value whatsoever for serious engineering. Engineers who are more “productive” using them are likely engineers who never generated value in the first place.

    Because the industry is mainly run by non-technical/incompetent management and many of the engineers are effectively imposters you can’t really take people at their word. Also, note that many of the most challenging defects in programs are solved by modifying a single character or word. Buffer overflows, boundary conditions, pointer oriented mistakes etc generally will be caused by what one may call an “off by one error”. The challenge is created by how subtle the mistake is. I don’t think any serious engineer would actually use these tools. I would never hire someone who did and I would continue giving challenging and novel coding problems to interview candidates to ensure these “vibe coders” don’t make it through the interview process.

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