The 5 Debates Shaping AI

Nathaniel Whittemore (0:00)

AI is, to put it mildly, a contentious field. On both a micro and a macro level, it is shaped by debates that will determine how it evolves. From what businesses want to buy, to what and how we should be focused on regulating, these are the most important debates shaping AI right now.

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A little over a year ago, I released what would become my most popular episode ever. It was called Five Debates Shaping AI. And given how fast AI moves, it now functions almost like a time capsule. The five debates I discussed on that show were the AI bubble discourse, will entry-level jobs vanish? Does AI actually boost productivity? Is vibe coding overhyped? And should we accelerate or slow down? Today, we're returning to that five debates format, and it's interesting to see in what ways the key questions have changed. The first debate shaping AI right now is a different version of that previous bubble conversation. The fall 2025 discourse about a bubble was completely exhausting. It was driven by a bunch of things, some of them legitimate, some of them a bit less so. For all the real concerns there were about circular financing, the nature of AI deals, the speed at which infrastructure investments were increasing, there was also generally Wall Street looking for something to be nervous about, and fairly dubious sourcing that followed from that, like the infamous MIT quote-unquote study that argued that 95% of generative AI pilots were failing. This year's version of the conversation has matured quite a bit. The first reason for that is that investors have a much better understanding of what we're actually calculating when it comes to the demand and revenue side of this equation than we did back in September of last year.

Giving the sincere AI bears the benefit of the doubt, the multiplication that they were doing was looking at the total number of available seats times 20 or 30 bucks ahead. It was that math result that they couldn't square with the amount that was being spent on infrastructure. However, the first quarter of 2026 changed the way that most people think about this. It also did so by answering one of our other debate questions about whether vibe coding was overhyped. The explosion of revenue this year, which ended up with Anthropic actually flipping and surging past open AI in terms of annualized revenue, was driven not by individual subscriptions, but by business spending through the API.

It turns out that AI is not a seat game, it's a token game. And the upper bound of what a power user can use is not in the tens or hundreds of dollars per month, but in the thousands or even tens of thousands of dollars per month. As that story became clearer, the shape of the bubble discourse changed quite a bit. As I record right now, the last reported numbers for Anthropix revenue had it at about a $65 billion annualized run rate, while recent reports from OpenAI suggested that their annual recurring revenue had neared $70 billion, although just before I started recording, another report had just come out suggesting that it was actually closer to $50 billion, with the discrepancy being between how OpenAI calculates revenue and Anthropic calculates revenue. Basically, when Anthropic gives their ARR numbers, they include clawed tokens sold through partners, but do not remove the cut that goes to those third parties, and so some independent investors were trying to calculate OpenAI's revenue in the same way, which is what got them to the $70 billion number instead of the $50 billion that OpenAI has apparently shared with others more recently.

In either case, the numbers are astronomical. As A16Z recently pointed out, labs have added more revenue in 2026 than all of public software combined. Yet at the same time, so have capital expenditures. After Q2 earnings calls, 2026 capex guidance stood at about $730 billion combined between Alphabet, Amazon, Meta and Microsoft, and jumped all the way to $825 billion if you included Oracle. Most of those companies had also increased guidance from where they thought at the beginning of the year. Moody's thinks that this big spender capex will approach a trillion dollars next year in 2027