# Who decided AI was inevitable?

An episode of [7am](https://invisiblenetwork.ai/podcast/1461999702), 27 Jul 2026, 18 min.

Audio: https://p.podderapp.com/2544644999/traffic.omny.fm/d/clips/2fb3740d-3436-44af-8cc0-a91900716aa5/62723a1f-3e96-4fc4-882c-b25e0181da4d/c5e9fd05-4dd2-4e07-9049-b494005fc6f1/audio.mp3?utm_source=Podcast&in_playlist=70f29d90-2a63-48aa-bf8f-b25e0181da70

Cory Doctorow is the author and tech critic who brought us the term ‘enshittification’ – which refers to the gradual decline in the quality of digital platforms and services over time. Now he’s warning that what we’ve been led to believe is the inevitable march of AI towards world domination isn’t that inevitable after all, and actually what we’re marching towards could be the end of the AI bubble. Because every time you ask ChatGPT, Claude, or Gemini a question, companies like OpenAI are losing money. The more we use, the more they lose. And while those AI giants burn through billions of dollars a year, gambling that eventually they’ll figure out how to turn it into a profitable business, the world’s economy is hanging in the balance. Today, Cory Doctorow, on why the AI boom is being pushed into every part of our lives and what happens when the bubble bursts. If you enjoy 7am, the best way you can support us is by making a contribution at 7ampodcast.com.au/support. Cory Doctorow is in Australia this August for appearances at Sydney’s Festival of Dangerous Ideas, and in Melbourne at The Capitol, presented by The Wheeler Centre and Now or Never. His new book, The Reverse Centaur’s Guide to Life After AI, is out via Verso Socials: Stay in touch with us on Instagram Guest: Author Cory Doctorow Photo: AAP Image/James Ross See omnystudio.com/listener for privacy information.

## Transcript

[0:01] Speaker 1: Corey Doctor Rowe is the author and tech critic who
[0:04] Speaker 1: brought us the term and shitification.
[0:06] Speaker 2: First, a company is good to its end users, then
[0:10] Speaker 2: it locks them in, and then it is good to
[0:12] Speaker 2: its business customers, who then get locked in, and then
[0:15] Speaker 2: it takes all the value for itself, leaving behind a
[0:18] Speaker 2: giant pile of shit that is in shitification, a tragedy
[0:22] Speaker 2: in three acts.
[0:24] Speaker 1: Now his warning that what we've been led to believe
[0:26] Speaker 1: is the inevitable march of AI towards world domination. Isn't
[0:30] Speaker 1: that inevitable after all? And actually what we're marching towards
[0:34] Speaker 1: could be the end of the AI bubble Because every
[0:39] Speaker 1: time you ask Chat, GPT, Claude or Gemini a question,
[0:43] Speaker 1: companies like open ai are losing money.
[0:45] Speaker 3: The more we use, the more they lose.
[0:48] Speaker 1: And while those AI giants burn through billions of dollars
[0:51] Speaker 1: a year gambling that eventually they'll figure out how to
[0:54] Speaker 1: turn it into a profitable business, the world's economy is
[0:57] Speaker 1: hanging in the balance. I'm Ruby Jones, and you're listening
[1:04] Speaker 1: to seven AM today Corey doctor Oh on why the
[1:08] Speaker 1: AI boom is being pushed into every part of our
[1:11] Speaker 1: lives and what happens when the bubble bursts. It's Tuesday,
[1:21] Speaker 1: July twenty eighth.
[1:27] Speaker 3: Corey, Welcome to seven AM. Thanks for coming on the show.
[1:29] Speaker 2: Oh well, thank you for having me on.
[1:31] Speaker 1: So I thought we could begin by talking about some
[1:34] Speaker 1: of the claims that are made around AI and its inevitability.
[1:40] Speaker 1: The way it's sort of framed is this technology that
[1:42] Speaker 1: has arrived.
[1:43] Speaker 3: It's going to change the nature of work.
[1:45] Speaker 1: It's going to fundamentally reshape life.
[1:48] Speaker 3: As we know it.
[1:48] Speaker 1: So to begin with, tell me a bit about who's
[1:51] Speaker 1: making these claims and why they are.
[1:53] Speaker 2: Well, I think that we've heard these claims before. We
[1:57] Speaker 2: heard that cryptocurrency was going to replace all of our
[1:59] Speaker 2: trains actions, that the metaverse was going to replace the
[2:02] Speaker 2: web that NFTs, where we're going to replace all art.
[2:07] Speaker 4: We're talking about AI physics or AI biology for drug discovery,
[2:12] Speaker 4: AI agents for customer service and support of diagnosis, and
[2:17] Speaker 4: of course physical AI robotic systems.
[2:20] Speaker 2: This kind of claim to declare a fatal complete even
[2:23] Speaker 2: before you've got started, is very powerful rhetorically. All of
[2:27] Speaker 2: these AI capabilities that make you smarter, help you communicate better,
[2:32] Speaker 2: improve your memory, improve your senses, and more. It's a
[2:35] Speaker 2: way to exterminate any thought that things might be different
[2:39] Speaker 2: before you can even start thinking about it.
[2:42] Speaker 5: Anthropic, we talk a lot about the exponential, and I
[2:46] Speaker 5: think that's what we're all feeling right now. The jumps
[2:49] Speaker 5: keep getting bigger and the intervals keep getting shorter.
[2:53] Speaker 2: And we hear it now from AI people who are
[2:56] Speaker 2: desperately trying to explain how they can take a sector
[3:00] Speaker 2: that grosses fifty billion American dollars a year and somehow
[3:04] Speaker 2: turn it into a profit making venture, despite the fact
[3:06] Speaker 2: that they've spent more than a trillion dollars just this year,
[3:10] Speaker 2: and despite the fact that every generation of it is
[3:12] Speaker 2: less profitable than the previous generation, and despite the fact
[3:16] Speaker 2: that they're having to replace all of their hardware every
[3:18] Speaker 2: two to three years.
[3:19] Speaker 6: Sard from opening I CEO Sam Altman with a fresh
[3:22] Speaker 6: look at the company's financials. He says that they expect
[3:25] Speaker 6: their annualized revenue run rate to top twenty billion dollars
[3:28] Speaker 6: this year it was thirteen billion dollars before that, and
[3:31] Speaker 6: to grow to hundreds of billions by twenty thirty. That's
[3:34] Speaker 6: also a revision upward.
[3:36] Speaker 1: Yeah, so this kind of talk, it's led to what
[3:38] Speaker 1: many people have speculated is in AI bubble, but believing
[3:42] Speaker 1: big tech when it talks about what AI can and
[3:45] Speaker 1: will do. We've now arrived at this place where we
[3:48] Speaker 1: have vastly overestimated its value. So what is your view
[3:52] Speaker 1: on whether AI is actually providing what it's promising the
[3:55] Speaker 1: productivity and profit.
[3:57] Speaker 2: Well, the productivity and profit are nowhere to be found
[4:00] Speaker 2: in the world. You have some ANNEC data from individuals
[4:04] Speaker 2: who say, well, I've used AI and made myself far
[4:07] Speaker 2: more productive. But when you actually look at the firms
[4:11] Speaker 2: that have deployed AI, what you find is that even
[4:14] Speaker 2: with the massive subsidy the AI companies are offering, and
[4:17] Speaker 2: the subsidies can't be overstated. Basically, at this point, AI
[4:21] Speaker 2: companies are selling hundred dollar bills at a dollar apiece,
[4:24] Speaker 2: and even with that, you're not finding the productivity gains
[4:29] Speaker 2: that firms were hoping for. We keep seeing firms that
[4:32] Speaker 2: fire large numbers of workers and then have to try
[4:35] Speaker 2: and hire them back. But even worse was about a
[4:38] Speaker 2: month ago when the AI companies were all thinking about
[4:41] Speaker 2: their IPOs and they said, well, let's clean up our
[4:44] Speaker 2: balance sheets a little and raise the price of these
[4:46] Speaker 2: hundred dollar bills to five dollars apiece, and all of
[4:50] Speaker 2: the CEOs, even the ones who've been most enthusiastic about
[4:53] Speaker 2: using AI, suddenly turned around and said, wait, your one
[4:55] Speaker 2: hundred dollar bills were barely worth it at a dollar each,
[4:58] Speaker 2: but at five dollars each, there's just no way we're
[5:02] Speaker 2: going to be able to continue to buy these things.
[5:04] Speaker 2: And they suddenly went from saying you're going to get
[5:06] Speaker 2: fired if you don't use AI to you're going to
[5:09] Speaker 2: get fired if you keep using AI, at least in
[5:11] Speaker 2: the way you've been using it so far.
[5:13] Speaker 1: Yeah, so you're saying these companies AI companies like open
[5:16] Speaker 1: Ai and Anthropic, they aren't actually making real profits. In fact,
[5:20] Speaker 1: they're losing billions of dollars a year, yet the valuation
[5:24] Speaker 1: of their stock is skyrocketing. So what is the impact
[5:27] Speaker 1: of that.
[5:28] Speaker 2: Yeah, Well, the shares and affirm that are growing are
[5:32] Speaker 2: worth far more than the shares of affirm that is mature.
[5:36] Speaker 2: And that's because a share is a claim on the
[5:37] Speaker 2: future income of a company. So if you can imagine
[5:40] Speaker 2: two companies, each of which turns over a million dollars
[5:42] Speaker 2: this year, but one of which is expected to double
[5:45] Speaker 2: in size next year, you could see why shares in
[5:48] Speaker 2: that company that's doubling in size would be worth more
[5:51] Speaker 2: than the shares in the company that are static. And
[5:55] Speaker 2: when your shares enjoy what's called this high price to
[5:58] Speaker 2: earnings ratio, when they're valued this highly, they become extremely
[6:02] Speaker 2: liquid and you can use them in place of cash.
[6:05] Speaker 2: And the advantage of shares over dollars is that shares
[6:08] Speaker 2: are an endogenous product. They're made within the four walls
[6:11] Speaker 2: of the company through the simple expedient of typing zeros
[6:13] Speaker 2: into spreadsheets. And the corollary of this is that when
[6:17] Speaker 2: you stop growing, when you become mature, which has to
[6:20] Speaker 2: happen eventually. Right, if you're Google with a ninety percent
[6:23] Speaker 2: search market share, you're not going to grow your search
[6:25] Speaker 2: market share anymore, right, And so you know, when you
[6:29] Speaker 2: cap out your growth, your company becomes grossly overvalued because
[6:33] Speaker 2: it's been valued as a growth company, but now it's
[6:35] Speaker 2: a mature company. And at that point you see these
[6:38] Speaker 2: panic sell offs. This is why every time tech companies
[6:41] Speaker 2: announce very small slowdowns in their growth or reversals, you
[6:45] Speaker 2: get these mass selloffs. You know, Facebook had a two
[6:48] Speaker 2: hundred and forty billion dollars one day sell off in
[6:50] Speaker 2: the first quarter of twenty twenty two, after announcing it
[6:53] Speaker 2: had slightly fewer American signups than they'd anticipate.
[6:56] Speaker 5: It is on Wall Street this morning after shares of
[6:58] Speaker 5: Facebook's parent Come company plunged yesterday.
[7:01] Speaker 2: Is stock continuing to tumble this week after a disappointing
[7:04] Speaker 2: report this quarter, shares.
[7:05] Speaker 1: In Facebook now called Meta, plunging twenty six percent after
[7:09] Speaker 1: results showed people are turning away from the social media platform.
[7:13] Speaker 2: It was the largest decapitalization of any firm in the
[7:15] Speaker 2: history of markets until it happened again to Nvidia a
[7:18] Speaker 2: couple of years later, this time to the tune of
[7:21] Speaker 2: three quarters of a trillion dollars. But if you can't grow, well,
[7:24] Speaker 2: the next best thing is to promise you're going to
[7:26] Speaker 2: grow right, to say, well, look we're about to conquer
[7:29] Speaker 2: a new imaginary market in NFTs or web three, or
[7:32] Speaker 2: now that AI is getting a little stale as super intelligence.
[7:36] Speaker 2: And you know, all of these things benefit in part
[7:38] Speaker 2: from having technical meanings that aren't well understood or even
[7:42] Speaker 2: well defined, So you can claim that you're going to
[7:44] Speaker 2: conquer a market that no one else understands, which means
[7:47] Speaker 2: when they say that that market isn't worth what you
[7:49] Speaker 2: say it is. You can repost by saying, nuh uh.
[7:52] Speaker 2: I'm the only person in the world who even knows
[7:54] Speaker 2: what this market is, so how can you tell me
[7:55] Speaker 2: it's not as big as I claim it's going to be.
[7:58] Speaker 1: But the scale here when we're talking about AI is
[8:01] Speaker 1: where this gets a bit frightening. I mean, you say,
[8:03] Speaker 1: we've reached the point where the US economy, which really,
[8:06] Speaker 1: by extension means the world economy, depends on AI and
[8:09] Speaker 1: its growth.
[8:10] Speaker 3: So how precarious is that?
[8:13] Speaker 2: Oh, it's extremely precarious. This is the frightening thing about AI.
[8:16] Speaker 2: It's not like that we're going to teach too many
[8:18] Speaker 2: words to the word guessing program and it's going to
[8:20] Speaker 2: wake up and become God and turn us into paper
[8:23] Speaker 2: clips or something. It's that seven firms, six of whom
[8:27] Speaker 2: are losing money to the seventh one represent thirty five
[8:30] Speaker 2: percent of the S and P five hundred, the most
[8:32] Speaker 2: important financial index in the world. They are all passing
[8:36] Speaker 2: around the same one hundred billion dollar IOU and pretending
[8:39] Speaker 2: that it's in all of their bank accounts at once,
[8:40] Speaker 2: which you know, to call that accounting fraud is to
[8:43] Speaker 2: do violence to the noble accounting fraud. And at the
[8:46] Speaker 2: same time, every new generation of AI is less profitable
[8:49] Speaker 2: than the previous one. Every new customer for AI costs
[8:52] Speaker 2: THEII companies money, and every time the AI companies have
[8:56] Speaker 2: a customer that uses their products, they lose even more money. Meanwhile,
[9:00] Speaker 2: the actual hard assets, the data centers, the GPUs, they're
[9:03] Speaker 2: being replaced every like two to three years, and I
[9:06] Speaker 2: think we underestimate just how much of that hard capital
[9:10] Speaker 2: has to be thrown away with every generation of the technology.
[9:14] Speaker 2: And often it's the case that to retrofit a data
[9:16] Speaker 2: center it would cost more than scraping into the foundation
[9:19] Speaker 2: slab and building a new one when you buy new
[9:21] Speaker 2: chips for it. So all of this stuff is basically disposable,
[9:25] Speaker 2: and you add it all up and it just doesn't
[9:27] Speaker 2: turn into a business you could bail out. It's not
[9:30] Speaker 2: like buying a bunch of distressed real estate assets that
[9:32] Speaker 2: when you're done, are real estate that people can live in.
[9:36] Speaker 2: It's like buying a toxic waste dump that's on fire
[9:39] Speaker 2: and you don't know how to put out the fire.
[9:41] Speaker 2: In every year, you have to commit more resources to
[9:43] Speaker 2: evacuating people from the region because it's poisoning their soil
[9:47] Speaker 2: and their air.
[9:50] Speaker 3: Coming up.
[9:51] Speaker 1: What will happen to workers in the AI boom and
[9:54] Speaker 1: eventual bust. So Corey, you in your book make the
[10:04] Speaker 1: case that nothing is inevitable about AI, and the best
[10:08] Speaker 1: way to think about it is in terms of whether
[10:11] Speaker 1: we are driving it to work for us or whether
[10:13] Speaker 1: it's being used to force us to change our behavior.
[10:17] Speaker 3: Talk me through that idea.
[10:18] Speaker 2: Yeah, for sure. You know, this isn't the first time
[10:20] Speaker 2: labor and automation have come into conflict, and one of
[10:23] Speaker 2: its bedrocks is that when labor drives automation adoption, typically
[10:27] Speaker 2: it's in service to making things better. Workers want to
[10:30] Speaker 2: improve their outputs. When capital drives automation, they want to
[10:34] Speaker 2: maximize quantity, not quality, and often it's quantity at the
[10:38] Speaker 2: expense of quality. And so we see automation now in
[10:43] Speaker 2: AI being driven almost exclusively by capital. You know, when
[10:46] Speaker 2: you read the business press, it's not like the early
[10:49] Speaker 2: two thousands, where you know, Harvard Business Review was publishing
[10:52] Speaker 2: panicked articles about what CEOs we're going to do about
[10:55] Speaker 2: all the young workers who expected to use the web
[10:57] Speaker 2: at the office. Now it's full of articles about how
[10:59] Speaker 2: c are threatening to fire workers unless they use AI. Right,
[11:03] Speaker 2: So you know this is very much capital driven automation.
[11:07] Speaker 2: But when you are the weakest link in the chain,
[11:10] Speaker 2: when you're the bottleneck and the output of the machine,
[11:14] Speaker 2: then you're going to be worked at the absolute limit
[11:16] Speaker 2: of your capacity by a machine that by definition can
[11:19] Speaker 2: last longer than you, move faster than you, and is
[11:21] Speaker 2: stronger than you, which means that the minute you make
[11:23] Speaker 2: a mistake, you're in for a world of hurt. You know,
[11:26] Speaker 2: Amazon built the world's most automated warehouses. They're also the
[11:29] Speaker 2: warehouses with the highest rate of injury. That's not a coincidence.
[11:33] Speaker 2: It's the consequence you don't pay eight figures for warehouse
[11:36] Speaker 2: automation and run the machine slower than you need to.
[11:39] Speaker 2: And when you run the machine at the maximum speed
[11:41] Speaker 2: of the people who operate in it and around it,
[11:44] Speaker 2: it means that the minutes someone gets something wrong, they
[11:46] Speaker 2: get impaled on a forklift.
[11:48] Speaker 1: Can we talk a little more about workers, because your
[11:51] Speaker 1: contention here seems to be that tech companies are pushing
[11:55] Speaker 1: the exponential growth of AI because growth is key to
[11:58] Speaker 1: their survival. To do that, they are in turn convincing
[12:02] Speaker 1: bosses of companies that AI can do the jobs of
[12:05] Speaker 1: their workers, meaning that they'll be able to either fire
[12:08] Speaker 1: those workers or pay them less, leading to more profit
[12:11] Speaker 1: for the company. So where does all of this leave workers.
[12:14] Speaker 2: Yeah, well, you know, I think you just have to
[12:16] Speaker 2: understand that, like, bosses are infinitely horny to get rid
[12:19] Speaker 2: of workers because every day they have ego shattering confrontations
[12:23] Speaker 2: with people who know how to do things that they
[12:25] Speaker 2: don't know how to do, and who you know, tell
[12:27] Speaker 2: them every time they show up with a great idea
[12:29] Speaker 2: that it's illegal or moral or it's going to kill
[12:31] Speaker 2: a bunch of people. And you can you know, dispel
[12:35] Speaker 2: that fear that you're in the back seat with a
[12:37] Speaker 2: Fisher Price steering wheel instead of in the driver's seat
[12:40] Speaker 2: by using AI to like come up with the product
[12:42] Speaker 2: idea and the AI craps it out and you don't
[12:45] Speaker 2: have to like actually talk to people about it. And
[12:47] Speaker 2: what you get is a very dim world for workers.
[12:50] Speaker 2: Which is not to say that AI isn't useful for workers.
[12:53] Speaker 2: I mean, I think the way to resolve the paradox
[12:56] Speaker 2: of for example, programmers who sometimes say, well, I use
[12:59] Speaker 2: AI and my code is better than it's ever been.
[13:01] Speaker 2: I can't believe how much I'm getting done, and other
[13:04] Speaker 2: programmers who are also skilled and also reliable narrators of
[13:07] Speaker 2: their experience, who say, I can't believe how much tech
[13:09] Speaker 2: debt we're incurring at my company. You know, we make
[13:12] Speaker 2: whatever av onics never get on an airplane again, because
[13:16] Speaker 2: we have shoveled so much bad code into the world's
[13:19] Speaker 2: civilian aircraft that they should never be trusted to fly.
[13:23] Speaker 2: And you know, you look at those two groups of
[13:24] Speaker 2: people and you know, try to resolve this seeming paradox
[13:28] Speaker 2: in what you find inevitably is that the first group
[13:31] Speaker 2: of workers are choosing how they use AI, and the
[13:33] Speaker 2: second group of workers, well, they've seen all their colleagues fired,
[13:37] Speaker 2: and they're being asked to work at ten times the
[13:39] Speaker 2: former speed, to mark the AI's homework and take the
[13:41] Speaker 2: blame when it goes wrong. And so, you know, I
[13:45] Speaker 2: think that there's plenty of useful things we can do
[13:47] Speaker 2: with AI. I just don't think we're going to do
[13:49] Speaker 2: them in the conditions in which the imperative is to
[13:52] Speaker 2: fire workers and replace them with software.
[13:54] Speaker 1: So we're at the point now where the tech itself
[13:57] Speaker 1: is being used by corporations. Sometimes it works expense but
[14:00] Speaker 1: it's likely vastly over valued. So what happens if that
[14:05] Speaker 1: bubble bursts?
[14:07] Speaker 2: Well, you know, not all bubbles are created equally. If
[14:10] Speaker 2: you remember the Enron bubble, where you had this energy
[14:13] Speaker 2: trading firm that was just doing accounting fraud and sucking
[14:16] Speaker 2: up the money of ordinary people who were just trying
[14:19] Speaker 2: to save so that they wouldn't starve to death or
[14:21] Speaker 2: be homeless when they got old. When they popped, there
[14:24] Speaker 2: was nothing left behind for all the billions they stole. Meanwhile,
[14:27] Speaker 2: there was another fraud at the same time called WorldCom,
[14:30] Speaker 2: and WorldCom is also an accounting fraud, but wasn't a
[14:32] Speaker 2: pure accounting fraud. WorldCom's claim was they had hundreds of
[14:36] Speaker 2: billions of dollars in fiber optic orders, and to kind
[14:39] Speaker 2: of make the show look good, they dug up streets
[14:42] Speaker 2: all over the world and put fiber optic in the ground.
[14:45] Speaker 2: And that fiber optic is still there. So when you
[14:48] Speaker 2: look at contemporary bubbles like cryptocurrency, it's not really going
[14:51] Speaker 2: to leave anything behind. When crypto goes to zero, we'll
[14:54] Speaker 2: have like ugly monkey JPEGs and stupid Austrian economics. But
[14:58] Speaker 2: when AI goes to zero, was still have data centers,
[15:00] Speaker 2: we'll still have GPUs, We'll have a lot of workers
[15:03] Speaker 2: who know how to do stuff, and we're going to
[15:05] Speaker 2: have these open source models that have barely been touched,
[15:08] Speaker 2: barely been optimized, and every time someone looks at them,
[15:11] Speaker 2: they can find all kinds of ways to make them
[15:13] Speaker 2: perform better. And I think, if anything, we'll probably see
[15:16] Speaker 2: some pretty good stuff as a result of that. Notwithstanding
[15:19] Speaker 2: that the economic crisis is going to be terrible, and
[15:21] Speaker 2: when a third of the stock market is vaporized because
[15:24] Speaker 2: these firms, you know, have to finally mark their assets
[15:26] Speaker 2: to market and stop pretending that their IOUs are and
[15:29] Speaker 2: all their bank accounts at once, we'll probably see governments
[15:32] Speaker 2: around the world do austerity again, which is just going
[15:34] Speaker 2: to drive more people into the arms of fascists. But
[15:37] Speaker 2: in terms of the technology, it'll probably be a bit
[15:39] Speaker 2: like Web two point zero, where all the stupid bosses
[15:42] Speaker 2: left the Bay Area and you could buy the servers
[15:44] Speaker 2: they left behind for pennies on the dollar, and all
[15:47] Speaker 2: the workers who had interesting ideas for what to do
[15:49] Speaker 2: suddenly didn't have to convince their bosses that these were
[15:52] Speaker 2: good ideas, and you know, they hired each other and
[15:54] Speaker 2: made some interesting stuff. You know. I was living in
[15:57] Speaker 2: San Francisco when the dot com bubble burst. One of
[16:00] Speaker 2: the things that I'd always craved during that whole bubble
[16:03] Speaker 2: was these very fancy ergonomic chairs from Steelcase called the
[16:06] Speaker 2: leap Chair, that were about fifteen hundred dollars each. And
[16:09] Speaker 2: I remember a day walking through the mission where I lived,
[16:12] Speaker 2: and there was a dot com ceo in front of
[16:14] Speaker 2: the office where he just lost his lease, selling like
[16:17] Speaker 2: a fleet of Steelcase leap chairs still in the plastic
[16:20] Speaker 2: for twenty five dollars apiece. I bought six of them
[16:22] Speaker 2: and use them as a dining room set for the
[16:24] Speaker 2: next ten years. Right, you know the idea of like
[16:27] Speaker 2: buying AI now, it's like buying your Steelcase leaf chairs
[16:30] Speaker 2: in like the spring of twenty twenty, when you can
[16:33] Speaker 2: see the fall of twenty twenty coming at you like
[16:35] Speaker 2: a freight train, when you're gonna be able to buy
[16:37] Speaker 2: things for pennies. Right, just just wait. If you really
[16:41] Speaker 2: feel you need a sovereign AI, just wait and buy
[16:44] Speaker 2: it then.
[16:46] Speaker 3: Well, Corey, thank you so much for speaking with me.
[16:48] Speaker 2: Well, thank you very much.
[16:52] Speaker 3: Cory.
[16:52] Speaker 1: Doctor Rowe is in Australia. This August for appearances at
[16:55] Speaker 1: Sydney's Festival of Dangerous Ideas and in Melbourne at the
[16:58] Speaker 1: Capitol presented by the Wheel Center and now or ever,
[17:01] Speaker 1: his new book, The Reverse Centaur's Guide to Life After
[17:04] Speaker 1: AI is out now. Also when the news Victoria's Premier
[17:20] Speaker 1: to Center Allen could today be rolled just months out
[17:22] Speaker 1: from the November state election. A group of ministers and
[17:25] Speaker 1: MPs met with the Premier yesterday urging her to stand down.
[17:29] Speaker 1: Deputy Premier Ben Carroll has advised the Premier that he
[17:32] Speaker 1: intends to be a candidate for leadership in the event
[17:34] Speaker 1: of a spill, which is likely to unfold a caucus
[17:37] Speaker 1: meeting today and South Australia has recorded seven new suspected
[17:41] Speaker 1: cases of H five bird flu. If further testing of
[17:44] Speaker 1: the cases by the CSIRO comes back positive, it'll take
[17:48] Speaker 1: the total number of bird flu detections in South Australia
[17:51] Speaker 1: to fourteen. Today, there have been no H five bird
[17:54] Speaker 1: flu detections in the poultry industry, captive birds, pet or
[17:57] Speaker 1: other wildlife and livestock andmory industries and wildlife organizations say
[18:02] Speaker 1: they're working alongside the state government to state vigilant I'm
[18:06] Speaker 1: Ruby Jones.
[18:07] Speaker 3: This is seven AM. Thanks for listening.

Shows are listed from Apple Podcasts' charts and directory, and Podcast Index where it is used. Every show and episode belongs to its publisher and plays from the publisher's own feed; this site hosts none of them.