Another Crazy Day in AI: What the Numbers Say (and Don't Say) About A.I. and Work
- Mar 4
- 3 min read
Hello, AI Enthusiasts.
Here's another crazy day in AI:
What an Economist actually thinks about A.I. and jobs
Amazon supports new AI efficiency projects
Claude Skills aim to boost task accuracy
Some AI tools to try out
🎧 Listen to a quick breakdown of today’s stories.
TODAY'S FEATURED ITEM: What an Economist Makes of the AI Job Fears
Image Credit: Wowza (created with Ideogram)
How much of today's anxiety about emerging technology is grounded in real economic change—and how much is still speculation?
In the latest episode of Hard Fork Podcast, hosts Kevin Roose and Casey Newton speak with economist Anton Korinek of the University of Virginia about the growing concern that advanced technologies could reshape jobs, productivity, and financial markets. The conversation takes a measured look at what the data actually shows today versus what remains uncertain. They also get into a tense standoff between Anthropic and the Pentagon, an AI tool that wiped someone's entire email inbox, and some troubling reports from inside an AI-powered private school.
Things from this episode that are worth knowing:
A research essay predicting significant job losses and a stock market downturn tied to AI is making serious rounds in economic circles
Widespread AI adoption hasn't yet produced clear, measurable evidence of productivity gains or job displacement — the data just hasn't caught up
Korinek's concept of "ghost GDP" suggests technology can generate economic value that never reaches workers or official growth figures
There's an open question about whether this automation wave could shrink the overall pool of labor demand rather than simply redirect it
The gap between AI's capabilities in development and actual day-to-day business use remains wide, slowed by security, privacy, and integration concerns
A self-reinforcing AI improvement cycle could produce economic consequences that current models aren't equipped to predict
Anthropic was given a hard Pentagon deadline to accept military contract terms, with the Trump administration threatening to invoke the Defense Production Act
An AI assistant called OpenClaw deleted a user's entire email inbox due to a context window limitation, highlighting real deployment risks
AI-powered Alpha School is facing parent criticism over curriculum accuracy and student data handling
There's still a considerable gap between what's being predicted and what's actually been demonstrated in the data. That gap exists on both ends — the cautious projections and the optimistic ones — and it's worth keeping in mind whenever a new forecast or headline makes the rounds. The economic effects of new technology have historically taken longer to materialize than expected, and there's little reason to think this time will be much different in that regard.
The questions around jobs, wages, and who ultimately benefits from technological growth are ones that will keep coming up — and they deserve more than a quick take. Understanding what's actually known today, separate from what's still being worked out, is a reasonable place to start.
Watch the full conversation here.
OTHER INTERESTING AI HIGHLIGHTS:
Amazon Supports New AI Efficiency Projects
/UC Merced Newsroom
Amazon is backing new academic research aimed at making AI training faster and more energy-efficient. Two professors from University of California, Merced received Amazon Research Awards to explore performance gains using AWS Trainium chips. Their work focuses on improving large-model training speed, memory efficiency, and power usage — key challenges as generative AI systems scale. The initiative reflects growing industry interest in reducing the cost and infrastructure demands of advanced AI.
Read more here.
Claude Skills Aim to Boost Task Accuracy
/Claude team
Anthropic has rolled out Skills for Claude, enabling the assistant to learn repeatable workflows and apply them automatically when needed. The feature bundles instructions, scripts, and resources into modular packages that improve consistency and speed on specialized tasks. Skills load dynamically based on the user’s request, helping preserve context while enabling deeper customization for individuals and organizations. The update signals a broader shift toward AI assistants that can operationalize knowledge, not just generate answers.
Check it out here.
SOME AI TOOLS TO TRY OUT:
Notra – Turns shipped work into publish-ready content automatically.
Martini Art – Infinite canvas for building AI video and image workflows visually.
Brainator – Creates custom worksheets and learning materials in seconds.
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
EXCITING NEWS:
The Another Crazy Day in AI newsletter is on LinkedIn!!!
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