
This reminds me of the race to cloud. Organizations spent 2-3 years moving a significant portion of their infrastructure to the cloud, to then 2-3 years later realize a hybrid infrastructure with a lot of those workloads hosted on prem was more economical.![]()
IBM's 8,000 Layoffs Reveal The Harsh Reality Of The AI Revolution - SlashGear
IBM is embracing the AI revolution and moving forward with its plans to modernize its workforce to the tune of 8,000 layoffs. But is this solution foolproof?www.slashgear.com
This reminds me of the race to cloud. Organizations spent 2-3 years moving a significant portion of their infrastructure to the cloud, to then 2-3 years later realize a hybrid infrastructure with a lot of those workloads hosted on prem was more economical.
A lot of organizations will over react to the potential of AI and later find out the hard way how expensive its going to be to run, maintain and QA those workloads. We are still years away from a generative AI that can train, correct, heal, and evolve itself.
How long do you think these investments can go on before actual returns need to be seen? It's been an AI arms race since 2022. People are losing and jobs over it and it isn't contributing value economically either![]()
AI Added 'Basically Zero' to US Economic Growth Last Year, Goldman Sachs Says
Imported chips and hardware mean the AI investments are translating into US GDP growth.gizmodo.com
How long do you think these investments can go on before actual returns need to be seen? It's been an AI arms race since 2022. People are losing and jobs over it and it isn't contributing value economically either
What about the MIT study that showed 95% of AI initiatives are failing to turn a profit from back in 2025? Have things really changed that drastically in 6 months?It's contributing greatly to corporate profits.
Ultimately AI is "too big to fail." The companies behind the drive are the largest on the planet. And as I mentioned a while back, because they dominate the economy, they're able to push these products onto the market whether people really want it or not. This is what's happening with Microsoft CoPilot etc. The unrealized losses are huge, but not so large that it's going to take the Google's/Amazons of the world down.
I think 2027 will be a potentially scary year because the thing that we've been able to avoid so far - how govt and society will begin to deal with AI - will be forced upon us. That's going to force some uncomfortable conversations and provoke some potentially destabilizing reactions.