Why So Much AI, Yet So Little Profit? A Closer Look at What Businesses Keep Missing
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Why So Much AI, Yet So Little Profit? A Closer Look at What Businesses Keep Missing
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This story was originally published on HackerNoon at: https://hackernoon.com/why-so-much-ai-yet-so-little-profit-a-closer-look-at-what-businesses-keep-missing.
Gartner reveals why AI adoption isn’t driving ROI. Learn why integrations fail, where value is lost, and how businesses can turn AI into real profit.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-adoption, #ai-integration, #enterprise-ai, #ai-workflow-automation, #data-maturity, #gartner-study, #systems-integration, #good-company, and more.
This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com.
Gartner’s latest research shows a major gap between soaring AI adoption and actual financial ROI. Most AI fails because it isn’t integrated into workflows, relies on poor data, stays stuck in pilots, or lacks change management. Real value comes from strong integration layers, measurable business metrics, quality data, and adoption-focused rollout.