Throughout the first half of 2025, Massachusetts Institute of Technology (“MIT”) researchers studied 300 corporate AI initiatives to determine the economic return on their investments. Despite the promise and enthusiasm around AI, the results of the study were startlingly lackluster.
Corporations have invested heavily in their own AI teams to build custom applications and solutions. According to Aditya Challapally, research contributor on the project, an astounding 95% of these organizations found zero return despite enterprise investment of between $30 billion and $40 billion. Further, those companies that have implemented AI are not getting much in the way of disruption.
At the same time, the researchers found that companies that bought AI tools from reputable developers were far more successful than those that took on internal pilots. That’s likely because the AI tools are developed to solve a single problem across an industry or discipline than the internal projects that try to solve too many issues at one time.
“It takes time, precision and discipline to successfully train AI so the narrower the focus, the better the outcome,” says Kendall Hoyd, Founder of FairBuild AI. “We are creating platforms to address specific sectors of the construction industry, rather than creating a single platform for the entire industry. Our approach aligns with the results of the MIT study and is proving true for our customers.”
“We introduced our platform for component manufacturers and other construction suppliers in October and we expect to introduce our subcontractor platform in November,” Hoyd said. “We are working closely with our customers and the industry to achieve a level playing field when it comes to their contractual relationships with contractors and owners. We brought our own experiences in the industry to address a huge need with pinpoint precision and its working.”
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