Oct 18, 2026 · 29 min · 23 segments
Anthropic's CEO, who has consistently predicted transformative AI will arrive before 2030, recently published a nearly 20,000-word essay outlining his vision of where AI is heading. The video gives…
Even that is less than 50 months away, which is weird to think about.
But anyway, that lab that he leads, Anthropic, also happened to be the makers of Claude Code and Claude Cowork more recently.
and of course the clawed 4.5 opus and sonnet models that power them.
I feel that the CEO Dario Amadei does have a unique insight about the next one to two years.
Which brings me to the last 48 hours during which Amadei published an almost 20,000 word essay on where he sees things going for better or worse.
Yes I've read it in full the old school way as well as several of the papers referenced in it.
His last essay Machines of Loving Grace became the preoccupation of Silicon Valley for quite quite a while.
So I just want to give you a giant head start on the conversations that will happen in 2026.
For this video, I've broken it down to the four big claims that he makes about our near future.
These predictions come under the umbrella of navigating the difficult teenage years of LLMs, the adolescence of this technology.
First, he predicts that tools like Claude Code will go from automating individual tasks like code writing to automating entire job categories like software engineering.
He also references law and finance, where the recent integration into Excel might help you at the moment do an individual task, but he foresees it doing the entire job that you're doing.
The engine behind that prediction is the smooth and simple extrapolation of the scaling laws.
The fact that, in his words, AI systems get predictably better at essentially every cognitive skill that we are able to measure.
Feed in more data and compute and you get a smooth, unyielding increase in AI's cognitive capabilities.
This is him telling you to keep your eye on the ball and ignore those headlines about AI hitting a wall or being a bubble.
Yes, certain tools are overhyped in the short run and certain companies may go bust, But the underlying curve is strong, consistent and predictable, he argues.
The key claim, again, though, is that he's saying that will take us from automating individual tasks within a job to the entire job.
Let's hear out a bit more of his side of the argument before I add in some other context.
First, he says he's already predicted something like this in Machines of Love and Grace.
Well, going back to that October 2024 essay, technically he predicted that it could come as early as 2026.
So it should be more like he predicted zero to one years away.
Back to this new essay, he does that a few times, not quite acknowledging how his predictions have shifted back a little bit.
Even that is less than 50 months away, which is weird to think about.
But anyway, that lab that he leads, Anthropic, also happened to be the makers of Claude Code and Claude Cowork more recently.
and of course the clawed 4.5 opus and sonnet models that power them.
I feel that the CEO Dario Amadei does have a unique insight about the next one to two years.
Which brings me to the last 48 hours during which Amadei published an almost 20,000 word essay on where he sees things going for better or worse.
Yes I've read it in full the old school way as well as several of the papers referenced in it.
His last essay Machines of Loving Grace became the preoccupation of Silicon Valley for quite quite a while.
So I just want to give you a giant head start on the conversations that will happen in 2026.
For this video, I've broken it down to the four big claims that he makes about our near future.
These predictions come under the umbrella of navigating the difficult teenage years of LLMs, the adolescence of this technology.
First, he predicts that tools like Claude Code will go from automating individual tasks like code writing to automating entire job categories like software engineering.
He also references law and finance, where the recent integration into Excel might help you at the moment do an individual task, but he foresees it doing the entire job that you're doing.
The engine behind that prediction is the smooth and simple extrapolation of the scaling laws.
The fact that, in his words, AI systems get predictably better at essentially every cognitive skill that we are able to measure.
Feed in more data and compute and you get a smooth, unyielding increase in AI's cognitive capabilities.
This is him telling you to keep your eye on the ball and ignore those headlines about AI hitting a wall or being a bubble.
Yes, certain tools are overhyped in the short run and certain companies may go bust, But the underlying curve is strong, consistent and predictable, he argues.
The key claim, again, though, is that he's saying that will take us from automating individual tasks within a job to the entire job.
Let's hear out a bit more of his side of the argument before I add in some other context.
First, he says he's already predicted something like this in Machines of Love and Grace.
Well, going back to that October 2024 essay, technically he predicted that it could come as early as 2026.
So it should be more like he predicted zero to one years away.
Back to this new essay, he does that a few times, not quite acknowledging how his predictions have shifted back a little bit.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.