Transcript

00:00:00So that certainly was quick. Last week I was talking in an episode about the end of
00:00:07cheap tokens where I broke down the economics of how these AI companies make or lose money
00:00:15and the role of training versus inference and why they're incentivized to move away from these
00:00:21subsidized subscriptions now that we have these agentic long running tasks that consume a lot of
00:00:27tokens. And today I woke up or actually I got it yesterday evening, I got an email by GitHub
00:00:34that they are announcing that all GitHub copilot plans so individual and business and enterprise
00:00:43will transition to usage based billing on June 1st. And I find their system really weird,
00:00:52but I'll get back to that. But it is no surprise. Of course, as mentioned, I broke it down in that
00:00:57separate episode. And yeah, for these companies, these subscription offerings they have are just
00:01:04not viable for these agentic tasks. And I'll also get back to why GitHub moved first here and why I
00:01:13think that, for example, OpenAI and also probably Anthropic will wait a bit longer until they move
00:01:21away from the subscription offerings. At some point for the agentic coding, I'm pretty sure they will
00:01:27all move to usage based pricing, though. But let's stick to GitHub. Now, what changes here with GitHub
00:01:34copilot is that, as I mentioned in this blog post, as I mentioned in the last episode, we now have
00:01:42these long running, these multi hour autonomous coding sessions that burn a lot of tokens. And
00:01:49well, that's just not viable anymore for them. GitHub has absorbed much of the escalating
00:01:54inference cost behind that usage. But the current premium request model is no longer
00:01:59sustainable for them. That's the reason why they're moving away from the subscription offering. And
00:02:05what's changing is that now in the future, you can still have a subscription. And if you have one,
00:02:11it will not be canceled for you. But instead of getting some guaranteed amount of usage out of it,
00:02:19you'll get AI credits. And what you'll get is, for now, if you have a business plan,
00:02:30and also actually if you have an individual plan, you'll get $10 of credits for your $10 per month
00:02:38plan and $39 for the $39 per month plan. For businesses, it's the same but there during a
00:02:46transition period, which goes to the end of August, you will actually get $30 and $70 in monthly
00:02:54credits clearly with the goal of ensuring that less business customers are canceling their
00:03:00subscriptions. But of course, once that transition period here is over, as a business customer,
00:03:06you will also just get a one to one match, so to say. So you spend $19 per month for your
00:03:12subscription, you get $19 in monthly AI credits and therefore in the end, unless I'm getting
00:03:19something totally wrong here, this is really just a prepayment. So I don't see why you would choose
00:03:28that over just paying for the actual use instead of having a subscription because of course with
00:03:35this model the disadvantage is that if you for some reason don't use up your usage, you burn some
00:03:42money but you don't really get an advantage out of having a subscription unless the models you can use
00:03:49through the subscription are priced cheaper than if you're directly using them through an API
00:03:55key of course. Now we can take a look at their pricing page here and there we see the prices we
00:04:05pay for these different models and in the end that is what we'll be paying and what will be deducted
00:04:13from our AI credits once we are in that usage based pricing plan. Here we see that one AI credit is
00:04:20one US dollar cent and you get 1900 credits for the business plan, that's the $19 per month plan
00:04:31and 3900 for the more expensive $39 plan so that in the end comes out to these amounts I mentioned
00:04:38here. And then we have this pricing table and from everything I see here from everything I could find
00:04:44here that is exactly well that there is no advantage here there is no discount here if you have a
00:04:55subscription so if we take a look at the price here for example for GPD 5.5 $5 per million input tokens
00:05:02and $30 per million output tokens well that is exactly the same what we're paying in the end
00:05:09if we're using the model directly through the open AI API so if we would bring our own API key in the
00:05:16end right so that's what I mean I don't see where exactly we would have an advantage here from using
00:05:24that subscription at least when it comes to these open AI models but it's the same of course for
00:05:30the Claude models if I go to the Claude API docs I can see that for Opus 4.7 for input tokens I am
00:05:39paying five dollars per million and for output I'm at 25 and again if I go back to the GitHub co-pilot
00:05:45pricing page here that is five dollar input 25 per output so again I don't see which advantage
00:05:55this subscription has I can instead just go directly for usage based pricing by bringing my own API key
00:06:03for example and then I have more flexibility and if I'm using less tokens I'm at least not charged
00:06:12these 19 or 39 dollars per month but maybe I'm also getting something totally wrong here and for
00:06:18businesses of course there may be different incentives here to use such subscriptions over
00:06:25usage based pricing because of course one advantage you could see here is that if you go for these
00:06:31subscriptions by default if you exceed or if you reach the limit of your subscription so if you use
00:06:39up all the credits you have in that subscription you can't continue using GitHub co-pilot and of
00:06:45course from a company perspective that may be what you want so that you give your employees these
00:06:51subscriptions here and if they're out of credits they're out of credits and they have to go back
00:06:56to writing code like a caveman by hand so I guess that could be one advantage here versus if you
00:07:02bring your own API key there is unlimited use which of course is not entirely true you can limit usage
00:07:08per API key too in the dashboards in the settings of these API providers of these AI providers but
00:07:16yeah that is the offering we have here a bit weird but as I mentioned not surprising at all because
00:07:23it's all not sustainable at least for now for GitHub co-pilot so for Microsoft in the end and
00:07:30I don't think that OpenAI will change its subscription pricing or how it works in the very
00:07:39near future at least they will certainly change it at some point and so will Enthropic and I mentioned
00:07:44that in the other episode but not right now I think because OpenAI just missed their revenue targets
00:07:52and that's an article from today too and that is a statement by their CFO and this is important
00:07:59in that statement the CFO said that she's worried the company might not be able to pay for future
00:08:06computing contracts if revenue doesn't grow fast enough now why does this mean that they will keep
00:08:14on subsidizing subscriptions well they definitely still wanna gain market share obviously at some
00:08:21point they will need to cut their losses but of course for one if they can achieve that with their
00:08:27subscriptions they're at least break even or not losing too much money they can grow their market
00:08:36share through those subscription offerings and then of course once they do switch to a usage-based
00:08:41pricing they can probably turn a profit there at least on the individual level per user and that
00:08:49of course could then fund future investments the problem OpenAI of course has is that everybody
00:08:55knows chatgpt everybody's using chatgpt but 90 ish percent of all the users are not paying for it
00:09:04they're using the free version and of course well no surprise that isn't making any money for OpenAI
00:09:12and then of course you have all these subscribers that are using their subscription for codecs so
00:09:17for agentic coding and those subscribers are not super profitable that is the situation in which
00:09:23OpenAI finds itself but still as mentioned they need to grow their market share so that eventually
00:09:29they can make changes to the pricing get rid of subscriptions or make them more expensive or
00:09:34whatever limit the usage so that they can turn a profit per user and then fund future investments and
00:09:40therefore i think that right now where they are still desperate to grow their revenue for now it's
00:09:47the revenue focus because that equals market share in the end so now where they're desperate to grow
00:09:53their visibility their market share the amount of paying users i don't think they will make any
00:09:59changes to their codecs subscription plan offerings anytime soon or for now at least and for the same
00:10:05reason i think anthropic may not be making drastic changes i do very well see that anthropic may
00:10:13remove the more expensive models opus models from the base subscription plans but will keep it
00:10:19in the more expensive plans because the way the limits in those cloth subscription plans work
00:10:27they're already pretty restrictive not as bad in my experience as some people make it seem on x but
00:10:34definitely more restrictive than the open ai usage limits in the codec subscriptions so anthropic may
00:10:41not be losing as much money on these subscriptions and of course i'm pretty sure they don't want to
00:10:47give up market share and give that to open ai of course they're fierce competitors the advantage
00:10:54and i already mentioned that in the other episode too of course is that anthropic is very well
00:10:58positioned in the enterprise market so yeah they can at some point and probably before open ai does
00:11:06it switch to a more aggressive pricing model potentially to usage based pricing model just
00:11:12like github copilot did here so that they can also turn some profit make some profit out of these
00:11:18users and then fund future investments now for github and therefore microsoft in the end things
00:11:24are a bit different in my opinion because of course whilst they certainly still also want to gain
00:11:31market share it's probably not the number one priority for them because microsoft is already
00:11:37shoving their copilot offerings everybody's well is sharing it with everybody and is pushing it into
00:11:45all companies and into all their products and of course they are for naturally because so many
00:11:51companies are using microsoft products and are also using vs code or just visual studio so naturally
00:11:59github copilot will be used by a decent amount of companies if they want or if their users their
00:12:06employees want it or not so market share is probably not their number one priority and of
00:12:12course therefore they are definitely not interested in burning money long term they especially don't
00:12:19need to just gain market share to eventually become profitable because they have no training to be
00:12:26funded right they just need a profitable user base and as mentioned market share kind of comes on its
00:12:34own from a microsoft perspective because copilot is everywhere and they have that they have these
00:12:40deep roots in all these companies so that's why i think they are now more interested in cutting
00:12:45their losses and already starting to turn a profit per user or at least not lose money i think that is
00:12:52their goal here and therefore yeah github copilot was the first one to move to usage based pricing
00:13:00definitely won't be the last one but i think for the reasons mentioned codex and or open ai and
00:13:07frobic will probably not move to usage based pricing just now and frobic maybe
00:13:13but open ai i really don't see that happening in the very near future

Key Takeaway

GitHub Copilot's shift to usage-based billing on June 1, 2026, marks the end of flat-fee subscription sustainability for agentic AI tasks, though competitors like OpenAI remain prioritized on user growth over immediate profitability.

Highlights

  • GitHub Copilot is transitioning all plans to usage-based billing starting June 1, 2026.

  • Individual and business plans will convert fixed monthly subscription costs into equivalent monthly AI credits.

  • Business customers receive an augmented credit allowance, $30 for the $19 plan and $70 for the $39 plan, until the end of August 2026.

  • Long-running autonomous coding sessions create unsustainable inference costs for flat-fee subscription models.

  • OpenAI and Anthropic are unlikely to follow GitHub's immediate shift to usage-based pricing due to a strategic focus on expanding market share.

  • OpenAI faces financial pressure to grow revenue to fund future computing contracts, making immediate subscription price hikes or removals counterproductive to user acquisition.

Timeline

GitHub Copilot Subscription Shift

  • GitHub is moving all Copilot plans to usage-based billing on June 1, 2026.
  • Existing subscriptions will convert into AI credits rather than providing unlimited access.
  • The current subscription model is unsustainable due to the high token consumption of long-running autonomous coding agents.

The transition replaces guaranteed usage with a credit-based system. Monthly plan costs, such as $19 or $39, are essentially converted into equivalent dollar-value AI credits. This change addresses the financial burden placed on GitHub by high-intensity, multi-hour AI coding sessions that utilize substantial inference resources.

Pricing Mechanics and Strategic Implications

  • Credit usage pricing matches direct API costs for models like GPT-4.5 and Claude Opus.
  • The new model offers no financial discount compared to direct API usage.
  • Business subscriptions may serve primarily as a hard spending limit for employee usage.

Comparison shows no pricing advantage for subscribers over pay-as-you-go API usage, as token costs remain identical. The primary value for enterprises under this system is the ability to enforce strict budget caps; once credits are exhausted, employees cannot continue using the service until more are provided.

Competitor Market Strategies

  • OpenAI and Anthropic will likely delay usage-based shifts to prioritize market share growth.
  • OpenAI reports concern over funding future computing contracts while maintaining a large free-user base.
  • Microsoft's deep enterprise integration reduces its need to prioritize raw user acquisition compared to OpenAI.
  • GitHub's status as a Microsoft property allows it to prioritize profit margins over rapid user expansion.

OpenAI and Anthropic remain in a growth-focused phase where subscription models help capture market share despite low profitability per user. Conversely, Microsoft is already deeply embedded in enterprise environments, allowing GitHub to pivot toward profitability and cost-containment sooner than its competitors.

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