We just launched Work Edge Daily.
The pitch is simple:
Same AI news. Different business implications.
3×/week. 5-minute read.
Translated for CHROs who don't have time to read 12 newsletters.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
@ZamDeveloper Replacement math is exactly the right frame. The 12-to-2 teams aren't being announced, they're just quietly not backfilling when people leave. Covering AI for executives weekly, this is the pattern I keep seeing. Headcount freezes first, then layoff headlines six months later.
@emollick@RavinJesuthasan has been right about work architecture all along. Doesn't matter who wins the frontier race if companies can't redesign jobs around AI capabilities. Most orgs aren't model-limited, they're imagination-limited.
@karpathy Not sure about the legibility argument. Most CEOs who couldn't manage humans by looking over shoulders won't suddenly get better with an AI dashboard. Transparency without judgment is just more noise.
@antgrasso Covering AI for the C-suite weekly, and explainability keeps coming up in every CHRO vendor eval. Most vendors still can't explain their models in plain language. The gap between frameworks like this and what's actually being sold is real.
@Josh_Bersin How many companies citing 'AI efficiency' in layoff announcements actually have working AI deployments? The narrative is running about 18 months ahead of the capability.
@MITSloan The list is good but point five is doing all the heavy lifting. Pro-worker AI won't emerge from market forces. Every company waiting for the market to sort this out is waiting for something that isn't coming. The ones who design it deliberately will have a two-year head start.
Companies keep reorganizing by job title. AI doesn't care about your title. It replaces tasks.
The CFO and the intern might both lose 40% of their workload to the same tool. Nobody's workforce plan accounts for that.
@lennysan@AnthropicAI This applies way beyond design. Every corporate process that took weeks because "that's how we've always done it" is about to get compressed into hours. The question isn't if the process changes. It's who in the organization gets to redesign it.
@kareem_carr True for today's models. But companies are already cutting headcount based on what AI might do in 18 months, not what it does now. The exhaustion argument underestimates how fast CFOs move when they smell savings.
@LuizaJarovsky The people who get to choose "slow and meaningful" are the people who already made it. For most workers, AI acceleration isn't optional. Their employer chose it for them.
The real question isn't whether humans are ready. It's who gets to opt out and who doesn't.
@HarvardBiz And in the AI era, the problem most leaders can't define yet is which decisions should stay human. That's the new leadership question nobody trained for.
@r0ck3t23 "Systems that simply execute" sounds great until one executes wrong and nobody left understands why. The agentic era needs more human oversight, not less. Most C-suites aren't building that layer yet.
Software stocks are plunging because AI might replace the people who build software.
We spent two years debating whether AI would take blue-collar jobs. Nobody warned the engineers they were also on the list.
Every corporate strategy deck for the last 20 years already read like this. AI didn't create the template. It just made it faster to produce and harder to call out.
[[Topic of discussion]] is not [[analogy]].
[[Dramatic fact given own line]].
[[Dramatic fact given own line]].
[[Dramatic fact given own line]].
[[Dramatic summary sentence.]] [[Topic of discussion]] is [[different analogy]].
[[Implications delivered with certainty]].
@antgrasso Agreed, and this connects to what @RavinJesuthasan has been writing about AI literacy at leadership level. Explainability isn't just a compliance box. Candidates are asking 'will AI make decisions about my career here?' and most HR teams don't have a good answer.