It's all about the funding Rocket River whether is works or not is irrelevent . .. whether is is good or bad is irrelevent. Just make them dollars
There's a whole lot of fruit and produce that cannot be picked other than by hand...yet There's a lot of houses that can't be 3D printed...yet There's a lot of stuff that can't be mowed with a robot mower...yet
3 years ago We introduced robot pickers for our prescription drugs we MFG and Sell and they can process the equivalent to 2.5 Pharmacists. We introduced basic robotic features in our warehouse a year ago and they already feel like a dinosaur as the new tech is much more advanced. Thank goodness I only have 5-7 years before I retire, the machines will eventually do more than any of us imagined. I would hate to be a kid these days but if I was, I would skip College and learn HVAC. All the fancy crap I do with data will be history very soon and AI will do it in a fraction of the time but it will be quite a while before a robot can pick the footprint of our widgets................right now the ROI is not even close to replacing guys/gals in the warehouse who work for $17 an hour
How many mistakes do they make? Because 1 mistake can kill a person when it comes to pharmacy/pharmaceuticals.
Oh it already has, and will, but right now the AI companies are trying too hard to recoup their investment - and until it becomes a commodity it will face headwinds. DD
because a hung over/sick/exhausted human will outperform a piece of machine that has advanced sensors that humans lack?
OR, it's following the usual business model of: subsidize growth, gain market share, build up need for the product, then raise prices to cover the true cost with profit. Those that went all in thinking costs would stay low, replacing human labor with AI labor, are probably regretting it... for now.
On the real I hope you have no offspring. Lord have mercy if you do...unlikely based on your post history though. #Winning
If you do have a family, I hope you are loved and respected and I wish much prosperity on your family.
with our robotic dispensers, a Pharmacist has to do a P2 check once the robot picks it, they are working on software that would catalog every pill with a pic and then AI would do it, but there years away, because your right, wrong pill to wrong client and someone could get hurt then sued
I'm not going to make up the number, but 6 figures of people are killed every year because MD's handwriting is totally unintelligible
If you weren’t around for the .Com bubble…this sounds a lot like the .Com bubble: AI sticker shock hits corporate America Madison Mills Illustration: Sarah Grillo/Axios. Stock: Getty Images Corporate leaders are starting to question whether soaring AI spending is delivering meaningful returns. Why it matters: Companies that rushed to embrace AI are now confronting ballooning IT costs, uncertain productivity gains and growing employee skepticism. Driving the news: Microsoft canceled most of its Claude Code licenses, in part over costs, according to The Verge, and Uber's COO said AI costs are getting "harder to justify." An AI consultant tells Axios one of their clients recently spent half a billion dollars in a single month after failing to put usage limits on Claude licenses for employees. Companies are citing AI's ability to automate jobs as a cause for layoffs, though Anuj Kapur, CEO of CloudBees, told Axios that workforce cuts may simply be "the only lever they can pull" to offset their AI bills. Consumer sentiment around AI is also nosediving, and employees are rebellingagainst the use of the technology at work. What they're saying: The enterprise is undergoing a "healthy swing" away from AI overuse — or "tokenmaxxing," the push to burn as many AI tokens as possible — Ali Ansari, CEO of model training firm Micro1, told Axios. Ansari hopes this correction will push companies toward more efficient AI use. While the market views these tools asworking equally well across the enterprise, Ansari says "the reality of AI right now is that it only works for coding." That disconnect can drive up IT bills without leading to high return on investment in agents, he said. Friction point: Corporate AI adoption is running into four unique problems. Use cases: "Most people default to automating tasks they dislike rather than tasks most valuable to the company," Sophia Velastegui, CEO of Velastegui Ventures and former chief AI officer at Microsoft, told Axios. Instead, they should focus on using AI to drive revenue. Costs: One CTO told Axios that employees were using AI models to check the weather. That gets expensive fast: Enterprise AI plans are not truly "all you can eat," and even simple chatbot queries can carry heavy token costs. Humans: We are the bottleneck to more efficient adoption, as we're still catching up on AI. Leadership isn't always helping: Throwing AI licenses at the wall and seeing what sticks (or what Velastegui calls the "thousand flowers bloom" approach) isn't leading to tangible returns, she said. Data: When enterprises are hesitant to give AI agents unfettered access to proprietary data, those agents become less effective, Josh Pantony, CEO of Boosted.ai, which focuses on AI tools for finance, told Axios. What we're watching: Whether companies get more disciplined about AI use. Or overcorrect and clamp down.
