Very reasonable take
Posts by Guy Berger
This Monteverdi guy - I bet he’s going to do some really good stuff within the well-established tradition and rules of the madrigal youtu.be/67K2XmPnCuY?...
6/ Next edition (in May), we plan to take another slice of the data - by roles. Who's learning what when it comes to AI?
5/ Now, it IS true that even in manufacturing, corporate workers are more likely to learn AI than frontline workers. But the gap between the two in this sector is much smaller than average. This is also true, to a much lesser degree, in retail.
4/ You can also split each industry into frontline and corporate workers. And manufacturing in particular, retail to a lesser degree, looks quite different there too. It's not just people working in front of a computer at a desk who are learning AI in these industries.
3/ In case you're curious in what falls into each of these categories, here's a simple schematic
2/ The first observation is AI learning is fairly top-down: ~50% of AI learners are taking "AI for leaders" courses!
Big exceptions: retail (lots learning "AI fundamentals", i.e. AI 101) & manufacturing (lots learning "AI in practice", i.e. more advanced but mostly aimed at non-technical people).
1/ The 2nd edition of the @guildeducation.bsky.social Workforce Signal is out! This month, we did a deep dive into "who is learning about AI".
Link: guild.com/insights/whe...
I guess I disagree with @taylorlorenz.bsky.social …
The consumer use case for AI has relatively low value
It’s the business case that has very high value
An album that doesn’t quite rise to the hype but it’s fun to hear the orchestrated version of Monk’s original 1952 piano solo
Also I am not a big Phil Woods fan but he is amazing here youtu.be/REpKq8Tj5sI?...
Pop-prog perfection youtu.be/52nQw2rZdoo?...
Ok! Then I think we’re on the same page :)
Dig we must
Yup
Funny enough, I was getting a haircut this afternoon & one of the barbers was telling another customer that the Strait was open and that we didn’t need it anyway, then the customer informed the barber about the fertilizer situation
My assessment is not at all based on Iranian news sources!
I don’t think it’s that scary - we do know who to believe: the experts who understand how to track this stuff (not me)
Maybe that changes soon, I’m just a humble labor economist with zero knowledge of diplomacy or geopolitics
But the evidence about the current state of affairs is clear enough even for me
Lots of jokes and confusion about whether Hormuz is closed or open but the evidence is pretty clear… it’s (mostly) closed
I dunno. He’s active on the other site - you should ask him!
Railroads were simultaneously a bubble (investors lost a lot of money) and the infrastructure ended up immensely valuable - was that a Ponzi Scheme too?
Aussie/Juniper hybrid
2/ …the 19th century revolution had a huge impact on people’s most basic needs. Harder to imagine that with AI though maybe I’ll be surprised.
3/ AI falling short of that impact doesn’t mean it won’t be tremendously valuable
A few comments on this chart:
1/ People unfamiliar with economic history don’t realize how enormously transformative the transportation & communication revolution of the 19th century was
2/ it’ll be a high bar for AI to be that transformative because…
(Chart by @finmoorhouse.bsky.social )
Given the global energy crisis, it's good to see any headline that indicates more previously nonmarketable fuel entering circulation.
Especially enriched fuel!
Claims data being upbeat isn't new (it's been happening all year).
What *is* new is that some other data sources are starting to sing from the same hymn sheet.
4/ Finally, job transition probabilities from Fujita, Moscarini & Postel-Vinay measure "low risk quits" (into employment) or employment from employment, however you want to think about it.
This is the segment that boomed most robustly during the Great Resignation. A modest bump!
3/ The turnaround in Michaud/Ellieroth metrics for the prime-working-age population has been slower to emerge, but also seems to be happening.
2/ @amandamichaud.bsky.social & Kathrin Ellieroth use CPS data to track quits & layoffs into non-employment (I call the quits portion "high risk quits"). Both are clearly turning around for the over-16 population.
CPS flows data telling a fairly upbeat story of mild labor market reacceleration through March.
1/ Hires from non-employment are slowly picking up - mostly from out of the labor force, though also (more slowly) from unemployment.
Still lower than during the Great Resignation.