
Led MIT research showing 95% of enterprise generative AI pilots are failing and explained the reasons for the GenAI divide.
How media typically covers Aditya Challapally
Directly quoted in these articles
MIT research finds 95% of enterprise generative AI pilot programs fail to achieve measurable revenue impact, with success driven by specialized vendor partnerships and back-office automation rather than generic tools or internal builds.
“Lead author of MIT GenAI Divide report discussing why 95% of enterprise AI pilots fail and what drives successful deployments”
Despite heavy investment, 95% of enterprise AI pilot programs fail to achieve revenue acceleration, with the core problem being organizational integration rather than model quality.
“Lead author of MIT report on AI implementation in enterprises; discusses why most companies fail at AI deployment and what drives success”
Only 5% of enterprise AI pilot programs achieve rapid revenue acceleration, with the primary barrier being organizational learning gaps and poor integration rather than model quality.
“Lead author of the MIT NANDA initiative report on AI in business; discussed findings on enterprise AI adoption failures and success factors.”