A solution in search of a problem
Sold as a cure for everything, AI is too often a solution bought before the problem is found. Firms are now paying hard to undo the mistake. We’ll fix it with AI. Get AI to do it. AI can do that. One day, those phrases may be true, but right now they look a great […] A solution in search of a problem was originally published on Emerging Europe .
The article "A Solution in Search of a Problem" discusses how artificial intelligence (AI) is often employed as a quick fix without a clear problem to solve. Companies rush to adopt AI, only to later realize the technology cannot perform the entire task. This misapplication of AI has led to costly mistakes, as seen with Ford, which had to rehire engineers after its automated inspection systems failed to catch quality faults.
The Commonwealth Bank of Australia also reversed AI-related job cuts after finding the technology incapable of handling the entire job.
A survey by Forrester found that 55% of employers regret their AI layoffs. Similarly, 35% of CEOs and directors believed their boards overestimated what AI could replace, while 60% claimed boards were too impatient to wait. AI is not a strategy in itself, but rather a tool that requires a clear strategy, better data, redesigned processes, and a culture ready to embrace change.
Brian Stafford, CEO of Diligent, an AI governance firm, called this a "real disconnect" between approving AI spending and having the discipline to govern it. Gartner forecasts that over 40% of agentic-AI projects could be scrapped by the end of 2027 due to cost, unclear value, and weak controls. Many AI projects are driven by hype and misapplied, with few providing genuine value.
The AI hype extends to government agencies as well, with agencies buying off-the-shelf tools without adequate vetting and clear definitions of savings. Kathrin Frauscher, deputy director of the Open Contracting Partnership, found that agencies are becoming the "AltaVista or Ask Jeeves of AI". The gap between AI's potential and its actual implementation continues to widen, indicating that it might be a rhetorical revolution rather than a real one.
The article concludes that organizations should stop chasing the latest technological fad and focus on fundamental business reinvention, recognizing AI as a tool whose value relies on the skill and wisdom with which it is used.
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