AI Boom Archive
The euphoria, the warnings, and the bizarre — chronicled in real time. Hover a clipping to read it.
Jun 20, 2026
Automate 90%, then find new work for people
Dario Amodei @Overlap_Tech
"We are seeing right now that AI is making people more productive, but that's the usual hump. You automate 90% of the job. People are 10 times more productive in the other 10%. But eventually it gets close to 100%. The sequel to that is, well then you have to find something else for them to do."
Video clip posted by @Overlap_Tech ("Overlap: Business & Tech"); quote is Dario Amodei.
Jun 19, 2026
China's cheaper tokens erode US pricing power
Trevor Noren @trevornoren
FT: "Goldman Sachs analysts last month predicted that use of AI agents would result in a 24-fold increase in token consumption by 2030 and that the huge rise in demand would exacerbate a shortage of chips over the next 12 to 18 months. While token usage and AI spending by businesses continue to grow, efforts to curb costs could weigh on the growth of the world's largest AI labs such as Anthropic and OpenAI, which plan to go public later this year at near-trillion-dollar valuations. Since the start of the year, Chinese AI models have overtaken their US counterparts in token consumption, according to data from OpenRouter, an aggregation platform that allows users to access multiple AI models. China's cheaper energy and more efficient models have allowed the country's AI labs to charge less than leading US groups for tokens, giving China a new edge on the AI battleground."
Again, I believe market participants are underestimating the pricing power challenges US hyperscalers face, both due to domestic and international competition. As I wrote in my December report on "GenAI & Productivity" (sageroadresearch.com/collections/re…):
"While there's a lot of speculative fear about how a single LLM could rise to dominance and what that could mean for economic, societal, and political stability, we believe the bigger concern for investors today is how relative model parity could compromise pricing power. Tech giants have thrived on monopolies and duopolies for a decade or more. Now, they're in an LLM arms race where it's unclear when or even if ever leadership will be sustainable. We believe competition from akin models will apply downward pressure on pricing at least for the next three years."
Learn more about Sage Road Research here: sageroadresearch.com. Interested in subscribing? Message me.
FT link: ft.com/content/1d37cc…
Chart attached: "Chinese AI models have rapidly gained traction — Weekly usage in 2026 of top nine models on OpenRouter (trillion tokens)." China's line spikes to ~18T tokens/week by June 2026 vs. the US at ~5T.
Jun 16, 2026
Hyperscalers can't self-fund the capex boom
Epoch AI @EpochAIResearch
The end of the self-funded AI buildout?
Hyperscaler cash capex is growing much faster than cash inflows. On current trends, they will be unable to fully fund the AI infrastructure buildout with cash from operations by the end of this year.
Chart attached: "Hyperscaler capex is on trend to outpace their cash inflows by the end of 2026" (US $ billions, log scale). Operating cash flow is growing ~+23%/yr while cash capex grows ~+70%/yr; the two lines cross around Q3 2026. Quarterly sums across Microsoft, Amazon, Alphabet, Meta and Oracle, from SEC 10-K/10-Q filings. Source: Epoch AI (CC-BY).
Jun 3, 2026
AGI around 2030, foothills of the singularity
Demis Hassabis @deredleritt3r
"Ten years from now, I think we will realize that we were standing in the foothills of the singularity now... I believe that we're only a few years away from [AGI], maybe 2030 plus or minus a year...
I think [AGI] will be an enormous transformative technology, it's going to effectively be a new human era...
We can feel this year, I would say, even though I've been working towards this for 30 years, I think this year with the way the agents are working and tool use, it started to become really useful, still early days of it, but genuinely useful in people's workflows...
And it's not any one thing, it's several different technologies, several use cases, several things that I thought were maybe a bit further out, turned out to be now, that are coming together that make me feel that in aggregate.
I think society needs to hear that because we don't have long to prepare for what that means."
First "foothills of the singularity" mention — Google I/O, ~May 2026 — context: https://www.semafor.com/article/05/20/2026/google-exec-demis-hassabis-predicts-were-at-the-foothills-of-the-singularity
Apr 13, 2026
We'll soon accept AIs as conscious
Ray Kurzweil
Ray Kurzweil just said something that gave me pause.
He believes AIs will soon be so indistinguishable from conscious beings that we'll simply accept them as conscious — not because we'll have definitive proof, but because it will become useless not to.
He pointed out that people already have AI therapists, and some users are starting to treat them as genuinely conscious. As the technology improves, that acceptance will only grow.
Kurzweil thinks the shift won't take long: once AIs consistently show all the earmarks of consciousness, most people will just go along with it.
It's a quiet but profound prediction about how quickly our definition of "person" (or at least "mind") might change.
What do you think — how long until we treat AIs as conscious beings?
Relayed by @newstart_2024 (Camus) as a summary of Ray Kurzweil's remarks (not a verbatim Kurzweil quote), attached to a 1:06 "Moonshots" video clip. Per archive rules the video isn't stored — only this screenshot + the summary.
Mar 26, 2026
AI agents solve problems like evolution
Stephen Wolfram
Stephen Wolfram says the way AI agents solve problems may resemble biological evolution.
They try something.
See if it worked.
If not, they try again.That simple loop created every living thing on Earth.
It may also be how intelligence explores the computational universe.
Posted by @vitrupo, summarizing remarks by Stephen Wolfram, attached to a 1:53 video clip of him speaking. Per archive rules the video isn't stored — only this screenshot + the summary. Text is the poster's paraphrase, not a verbatim Wolfram quote.
Dec 1, 2025
Fully AI-run companies are 'far-fetched'
Satya Nadella
Satya Nadella doubts that fully AI-invented and AI-run companies are coming soon, calling that idea too far-fetched.
Satya Nadella instead points to "dark" infrastructure like data centers that run mostly autonomously after huge amounts of human work to build and configure them.
Satya Nadella expects stunning increases in automation over the next five to ten years, but still believes people will remain essential.
Satya Nadella emphasizes that even in heavily automated systems, humans design, oversee, and correct what the machines do.
Satya Nadella frames AI as a powerful extension of human capability rather than a total replacement for human agency.
Posted by @WesRoth, summarizing Satya Nadella's remarks (md meets: interview with Mathias Döpfner), attached to a 1:23 video clip. Per archive rules the video isn't stored — only this screenshot + the summary. Text is the poster's paraphrase, not a verbatim Nadella quote.
Aug 19, 2025
Seemingly Conscious AI: danger vs. real evidence
Mustafa Suleyman @mustafasuleyman
What I call Seemingly Conscious AI has been keeping me up at night - so let's talk about it. What it is, why I'm worried, why it matters, and why thinking about this can lead to a better vision for AI. One thing is clear: doing nothing isn't an option. 1/
Seemingly Conscious AI (SCAI) is the illusion that an AI is a conscious entity. It's not - but replicates markers of consciousness so convincingly it seems indistinguishable from you + I claiming we're conscious. It can already be built with today's tech. And it's dangerous. 2/
Why it matters: to be clear, there's zero evidence of AI consciousness today. But if people just perceive it as conscious, they will believe that perception as reality. Even if the consciousness itself is not real, the social impacts certainly are. 3/
[replying to Jason Crawford (@jasoncrawford): "isn't this just an absence-of-evidence vs. evidence-of-absence thing? or do you think there is positive evidence for AI consciousness?"]
I do, yes. especially looking beyond pure-text LLMs, AI systems have capacities and, crucially, computations that resemble those associated with, and potentially sufficient for, consciousness in humans and animals + evidence that, in general, computation is what matters for consc.
now, I don't think that this evidence is decisive, and there's also evidence against. but "zero evidence" is just way, way too strong. I think that AI's increasingly general capabilities and complexity alone is some meaningful evidence, albeit weak.
Counter: Robert Long (@rgblong), Aug 22, 2025 — https://x.com/rgblong/status/1958685038670717089?s=20. Both posts are excerpts of longer threads; full threads at the links.
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