{"id":10472,"date":"2025-10-15T15:17:02","date_gmt":"2025-10-15T21:17:02","guid":{"rendered":"https:\/\/attentionmedia.io\/?p=10472"},"modified":"2025-10-15T15:17:02","modified_gmt":"2025-10-15T21:17:02","slug":"what-companies-keep-getting-wrong-about-ai-implementation","status":"publish","type":"post","link":"https:\/\/attentionmedia.io\/?p=10472","title":{"rendered":"What companies keep getting wrong about AI implementation"},"content":{"rendered":"
\"\"<\/div>\n

AI rollouts don\u2019t always go as planned. While the technology promises efficiency and innovation, real-world deployments often create new problems \u2014 and more human work \u2014 instead.<\/p>\n

When AI promise meets business reality<\/h2>\n

Before worrying about AI replacing people, it\u2019s worth examining how it is actually performing in the real world \u2014 where automation often creates more work, not less.<\/p>\n

Ten years ago, IBM announced with great fanfare that Watson for Oncology was as accurate as human physicians in reading X-rays, CT scans and other reports. In some regions lacking oncologists, IBM even promoted Watson as a potential substitute for doctors.<\/p>\n

But the reality soon surfaced. According to ASH Clinical News, internal documents revealed that Watson made unorthodox and unsafe recommendations when provided with synthetic (rather than real) patient data. Ultimately, IBM sold Watson Health\u2019s data and analytics division to a private equity firm in 2021 for $1 billion \u2014 after investing more than $5 billion.<\/p>\n

IBM wasn\u2019t alone. Remember Zillow Offers?<\/p>\n

Zillow built an AI model to predict home values and aggressively bought homes based on those predictions. The algorithm consistently overpaid, leading to half a billion dollars in losses and mass layoffs. The program collapsed in less than a year when the algorithm failed to adjust to a cooling housing market.<\/p>\n

Dig deeper: Implementing AI without a problem is a fast road to failure<\/a><\/em><\/strong><\/p>\n

Even recent rollouts still miss the mark<\/h2>\n

You might say, \u201cBut those examples are years old. Surely companies have learned their lessons by now.\u201d<\/p>\n

AI capabilities have indeed improved dramatically in a short time. But the rush to push out AI-powered updates hasn\u2019t slowed down \u2014 and not all rollouts are being handled well. Unfortunately, we had a front-row seat to a more recent misstep.<\/p>\n

Like many small businesses, we rely on Intuit\u2019s QuickBooks Online to run our operations. Recently, QuickBooks rolled out an AI-powered version of the platform. For us, it\u2019s been nothing short of a disaster.<\/p>\n

Here\u2019s what we encountered:<\/p>\n