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Tracking the wildest failures and costliest mistakes
Everyone talks about what AI can do, but nobody talks about the absolute chaos when it goes wrong. From rogue chatbots threatening customers to multi-million dollar software rollouts that completely flopped, we document the real, unfiltered side of the automation era. Whether you are a disillusioned developer, a burned founder, or just here for the tech drama, you have found your community.
Employers who laid off workers citing AI are already starting to regret it
Companies are rapidly changing their minds that artificial intelligence can “do it all” by rehiring employees to propel their businesses forward, as investors fret over the longevity of the ongoing AI boom happening in the financial markets.
Automaker Ford is one of the latest companies to reverse course. It is reportedly reemploying hundreds of experienced human engineers to work on quality issues automated systems couldn’t address. “Artificial intelligence is a fantastic tool, but it’s only as good as the information you use to train it,” Charles Poon, Ford’s vice president of vehicle hardware engineering, told the media.
Other companies that have walked back their hiring plans to focus more on human capital include Commonwealth Bank of Australia and software giant IBM. Read more here:
The Biggest AI Fails of 2025: Lessons from Billions in Losses
Twenty twenty-five was supposed to be the year AI went mainstream. Instead, it revealed something more important: the difference between AI hype and AI implementation.
We recently published real-world AI success stories: companies like Walmart saving $75 million, BMW reducing defects by 60%, and JPMorgan automating 360,000 staff hours. Those cases show what's possible when AI is done right.
But for every success, there are dozens of failures. And 2025 delivered some spectacular ones. While global AI spending reached record levels, research reveals that the vast majority of corporate AI initiatives failed to reach production or generate positive cash flow. Behind each failure are real companies, real losses, and real lessons that every business leader needs to understand. Read more here:
https://www.ninetwothree.co/blog/ai-fails
The Biggest AI Disasters of 2025 And Why Many Are Likely to Repeat in 2026
By the end of 2025, artificial intelligence stopped being a speculative advantage and became a measurable operational risk.
AI systems were no longer confined to experimentation, demos, or productivity pilots. They were embedded in production workflows, reputation systems, coding pipelines, mental-health tools, and global internet infrastructure. When failures occurred, you would think they’d be contained inside a lab or a chat window but nope: they spilled into real lives, real balance sheets, and real regulatory action.
The result was a year defined not by one catastrophic AI collapse, but by a pattern of AI disasters that exposed the same underlying weaknesses again and again. Read more here:
Corporate AI Project Failures Might Have A Positive Impact On Jobs
If you read popular business and economic media or venture into LinkedIn, you’ll notice many stories of how artificial intelligence is going to take away jobs today. Frankly, the umbrella term for a range of technologies that started coming into existence in the 1960s, already does and has been doing so for at least 10 years.
Current developments, like generative AI systems that can create text or image responses to prompts, have taken the business world by storm and have become objects of consumer fashion. However, research suggests that practicalities, like heavy project failure rates in businesses, might take some pressure off the assumption that all things are programmable. Read more here:
Tesla plunges most in a year on investor angst over AI spending
Tesla Inc. shares tumbled the most in over a year after disappointing quarterly results raised questions about Elon Musk’s plan to refocus the electric vehicle maker on artificial intelligence and robots.
Profit fell well short of Wall Street’s estimates for the period as spending on its ambitious initiatives surged to $5.8 billion, resulting in Tesla’s first cash burn in two years. The company still expects capital expenditures in excess of $25 billion this year, and executives are now predicting even larger outlays going forward. Read more here:
Companies Replaced Humans With AI. Now They Regret It.
Some Canadian companies that replaced workers with AI are already hiring them back. In a recent Robert Half survey of 1,365 Canadian hiring managers, more than a third of those who laid off staff due to AI say they’ve since added the same or similar positions back. In another survey of 600 hiring managers conducted by global workforce company Careerminds, 91 per cent of those who cut staff believed AI didn’t deliver what it had promised. Many said AI required more oversight than expected, critical skills and expertise were lost, and the tools simply underperformed. More than half rehired staff within just six months as they realized the value of the roles they’d replaced. Read more here:
https://macleans.ca/society/technology/companies-replaced-humans-with-ai-now-they-regret-it/
Exploring the Edge of Human Intelligence
Joe Rogan Experience #2387 - Gregg Braden
AI Regret
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