Is there any chance we can connect for me to ask a few more questions or read some of your reporting? My email is in my profile.
I am currently doing a masters in robotics and my capstone is aiming to do some lab automation. I don't have background in the area, so I am trying to learn everything I can. Thanks!
A few factors off the top of my head (there are more):
- Proprietary communication protocols between equipment from different OEMs. It's possible to automate to a greater extent if every asset speaks the same language. They often don't. Instruments exist in the OEM's walled gardens.
- Robots do save money in the long run, but they are expensive upfront. This is a deterrent, especially labs on a small budget that just don't have the CapEx for robots. This is the case for many academic labs, in particular.
That said, there is progress being made toward automating wet labs to a greater extent. There are projects to standardize protocols so you can have communication between assets from different OEMs. One of my sources from the NIH also told me last week that there are advancements being made in mobile robots that can cart samples from instrument to instrument autonomously.
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So the other day I used Claude to make a browser extension that saves all in an active window to the specified "Writing Project" so I can easily open/close them all as needed.
Basically, a more streamlined bookmark system.
There is no business in the world, except those already financially unhealthy, that would choose no-growth + reduced cost over growth + same cost.
It just goes against every business ethos except Arizona Iced Tea.
If that were the case, why are so many companies bent on eliminating some employees and equipping the rest with AI to make up the difference? Wouldn't it be in their best interest to retain ALL those employees and equip them all with AI?