What Content Each AI Platform Prefers to Consume

Reporting AI-Induced Job Loss

AI-induced job loss is all over the headlines. From Amazon to Morgan Stanley, to the WEF projections to the Godfather of AI predicting AI will "replace everybody", we're constantly hearing about jobs that will be lost due to AI.

Some people assume that this is all posturing by big companies to help push up their stock price. If they're able to cut costs and increase productivity at the same time, it's reasonable to assume that this will increase the bottom line.

But how can we know for sure if AI is leading to job loss?

New York governor Kathy Hochul has introduced a proposal to have employers check a box when filing a mass layoff notice due to AI.

Judging by the comments on some of these articles, this is becoming yet another example of "everything is politics." When someone from one party introduces something new, the other party has to reject it, even if it will impact their people.

Selecting the AI checkbox isn't legally required, which means most employers will choose not to select it. If states are collecting this data, it's probably not so they can reward the employers that are cutting jobs.

It will be hard to measure AI's impact on jobs because employers won't want to open themselves up to potential blowback from worker-friendly states. Executives will talk about it to boost the stock price or scare employees, but then won't report the actual cuts made due to AI.

But Are We More Productive?

Jasper (who has a vested interest in showing productivity due to AI) released its first State of AI in Marketing report and the top takeaway is marketers are more productive due ti AI, but we're not seeing the ROI yet. While 63% of marketers are using AI, only 49% are measuring the ROI of their AI investments.

Using AI will make you more productive and help you stand out. By now, I hope you're using AI to automate chunks of your current workload.

Even Geoffrey Hinton, the aforementioned Godfather of AI says, "You'd have to be very skilled to have a job that it [AI] just couldn't do."

He's very pessimistic when it comes to job loss because he's so optimistic about AI itself. He's been there since the beginning and understands the technology better than most.

My guess is there are a few factors he's not considering if he's only looking at the technology:

• The speed at which companies will adapt this new technology and automate many human roles
• People don't want to interact with technology all the time

There will be a pushback to a fully automated world. Some people will go all in on the tech, but most won't. This is an opportunity for human interactions to stand out.

For those who want to zig during this time of AI zag, it's the perfect time to revisit Bryan Kramer's Human to Human: H2H methodology. It will help you stand out from all of the AI-generated slop that's out there right now.