Some of the biggest names in A&R are using AI to pick future stars
AI's list of tricks and new skills know no bounds and now it's increasingly being used by the A&R industry to filter out the winners from the losers.
Cite or link to this article
Griffin, M. (2017) 'Some of the biggest names in A&R are using AI to pick future stars', 311 Institute, 8 June. Available at: https://www.311institute.com/some-of-the-biggest-names-in-ar-are-using-ai-to-pick-future-stars/ (Accessed: 1 October 2026).
$100 million. That’s the value, that Music XRay, a 21st century A&R company that uses Artificial Intelligence (AI) and crowdsourcing to predict the next big pop superstars and match artists to opportunities, expects to add to the record industry in 2018, and if you think that that valuation is just a New York start up’s dream then you might have to think again because the AI platform has already picked a handful of future superstars who are starting to make it on the world stage.
Oh, and, did I mention that the company’s already attracted the interest of Beyonce’s mentor and a host of other celebrity names that include the executives down at Atlantic Records, Epic Records, Roc Nation and supervisors of TV shows like The Voice and Dancing With The Stars? No? Silly me.
The way the platform works is fairly simple. Music XRay has a bank of over 3 million tracks that their AI has categorised according to their popularity and success in the market place and the AI has weighted each track based on sixty different metrics, such as composition, rhythm, tone and so on. The AI then puts the most successful tracks into groups and genres and every time a new artist makes a submission Music XRay’s AI analyses the new track and makes a prediction on how successful, or not, it thinks the track, and the artist will be.
“We’ve reached the point where we can make strong, meaningful predictions,” says Mike McCready, CEO of Music XRay , “and we have a critical mass of artists and industry professionals interacting to generate enough reliable data. Until we had the site’s 8 or 9 core features, which took years to build, and until that last piece, Selection Prediction, was plugged into Amazon Machine Learning Platform, we couldn’t do this but once all the elements were in place, we had a sustainable model for growth and for supporting artists who had yet to break into the mainstream.”
“We’re a filter. And that requires that we filter a lot of the music out,” he adds.
So far, the company has a great win rate and thirteen out of the thirteen early artists the platform chose have already been selected for deals.
“It’s the clever application of very diverse technologies that make Music XRay work. It’s rewarding work because we’re solving complex problems and making the industry a better and more transparent place,” concludes McCready.
However, with Sony diving headlong into using AI to create the world's first AI composed songs, and album, and with Google's AI 'Magenta' trying to become the world's first AI pop star, it might not be too long before Music XRay's own AI is judging its own kind - and that could be interesting to see.
FAQ
Why does this matter?
AI's list of tricks and new skills know no bounds and now it's increasingly being used by the A&R industry to filter out the winners from the losers.

About the author
Matthew Griffin Founder, 311 Institute
Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."
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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.
An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.
As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.
Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.
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Sources and further reading
- Music XRay musicxray.com
Source: first published by the 311 Institute on 8 June 2017. Cite as: Griffin, M. (2017). Some of the biggest names in A&R are using AI to pick future stars. 311 Institute. https://www.311institute.com/some-of-the-biggest-names-in-ar-are-using-ai-to-pick-future-stars/
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