Harvey, an AI for law firms, has started sponsoring multiple sports teams. History doesn't repeat but it often rhymes.
On the surface it seems odd a B2B AI company would sponsor sports teams.
This subreddit is 1 month old today. We started this as a place to discuss AI job displacement. No hype or doomerism. Just what's actually happening with AI and the job market.
1 month in we have 485 members. Many are professionals in different industries that are adding insight beyond what the headline says.
The top posts
AI slop is flooding academic journals... - Several commenters from research/academia confirmed they are seeing this play out in real time.
College graduates can't find entry-level roles - Comments confirmed this first hand. There was also a fight in the comments about if trade school was worth it over college.
Gen Z is sabotaging AI implementations - we've seen several stories about CEO pushing AI where it doesn't work and workers not happy
Favorite comment of the month
u/isthereadrwho - If every job is an AI job then every skill is an AI skill. So what's the point of Skilling up. You make no sense
Trends we're seeing
Over the last month our team has read thousands of articles and spoken to professionals across a wide array of industries. Themes we notice:
AI implementation struggles - CEOs are generally much more optimistic about AI than workers. It's two fold, workers don't want to be replaced, but also workers actually see how it fails. AI also creates more work for many tasks than it can automate. However, the vibe does seem to be shifting in the last week about what AI can realistically do right now.
Companies wait-and-see - Hiring freezes, temporary workers, not back-filling positions. Even if AI can't do a task today, maybe it can a year from now. Companies are increasingly hesitant to hire permanent employees.
Slop is a drag - From the application process to bosses and coworkers sending reports, AI slop is everywhere. There are some legitimate use cases where AI can automate tasks. A lot actually. But reports keep showing no net benefit to AI. We think slop is the problem.
We started a daily newsletter to share the best things we find day to day. Get it here: https://aitakeovertracker.com/news
Our plan is to continue tracking the reality of where AI is. Feel free to share what you're seeing, good and bad. The more data we have the better!
I was just reading this article about court decisions regarding AI chats : https://natlawreview.com/article/ai-chats-are-discoverable-and-trigger-preservation-obligations
The punchline is your AI chats are discoverable in a legal context.
So not only can they find your chats if a legal issue comes up, but you/your company have a legal obligation to preserve your chats.
That can get tricky for companies because employees could be using their own personal AI tools and chats to discuss business matters.
Even though AI is a new technology, courts are not creating new rules. Instead they are treating AI similar to email or slack messages.
It gets worse when you consider how easy it is to just ask ChatGPT or Claude a legal question vs running it by a lawyer (assuming you have access to one). But the AI models are agreeable so you can lead them to answer pretty easily. Then you find yourself in court with your exact legal strategy discussion handed to judge and jury.
More of my thoughts including the relevant court cases here: https://aitakeovertracker.com/blog/ai-chats-are-discoverable-in-court
There seems to be a gap between what they publicly vs privately.
Sam Altman's house was attacked. Since then he's become much more optimistic about how AI will help people. At least his public messaging has changed.
All this while Coinbase and Paypal just announced layoffs and said AI was a primary reason.
DQ is the latest fast food company to test AI drive thrus. So far the AI has been 90% accurate at taking orders.
The USDA National Proving Grounds Network for AgTech (NPG-Ag) was recently launched to allow farmers to efficiently test AI tools. Forbes did an article about it recently.
One of the main goals was "reduced labor demands."
There's currently around 2.6 million agriculture workers in the US.
At the same time companies like Microsoft and SAP are dumping billions into AI directly targeting agriculture.
Total spend was almost $7 Billion in 2025 but expected to triple in the next 7 years.
They are moving away from bolt on AI tools to software platforms integrated with AI. Investments are rapidly increasing as companies look to "win" the agriculture AI market.
The AI promises to improve planting accuracy, manage input variability, monitor crop health, and make other decisions autonomously.
You can see our full breakdown here: https://aitakeovertracker.com/blog/the-seeds-of-automation-how-government-and-private-capital-are-cultivating-an-ai
A corporate meal delivery platform saw orders after 6 PM up over 50% versus last year. Weekend orders have doubled. AI is likely a key contributor.
Experiment included 76 patients who arrived at an ER. With limited information, AI correctly diagnosed 67% of cases while human doctors were right 55%.
Important note: the experiment was text only. Neither the doctors nor AI were able to see patients or ask any questions.