
New Awards Want To Be ‘Grammys Of The AI Music Space'
Been making music with AI? You could win money for it.
A global contest called the Future Music Awards launched on Tuesday to recognize creators of music made with the help of artificial intelligence. Entries will be judged on elements including inspiration, process, vocals, lyrics and beat, along with listens on a dedicated chart. Amid intensifying ethical and legal debates around AI, contest rules stipulate that music found to contain copyrighted material will be disqualified. The top three winners will split $10,000 in prizes.
'I'll be looking for lyrical content, something that is not just from ChatGPT, something that has been edited and has a bit more human flavor to it,' contest judge Jeff Nang, a London-based music producer whose own bespoke compositions have been featured by brands including Disney and JP Morgan, said over Zoom. 'Even though it's an AI project, I still believe that it benefits from the human touch.'
The awards are sponsored by the World Creator AI Awards, a broader competition for AI creativity run by Fanvue, a subscription-based platform that hosts virtual models. The creator awards launched last year with the first beauty pageant for AI-generated women and have now ventured into the music world.
The Future Music Awards are a 'true celebration of the democratization of music, and we have big ambitions to grow the awards into the Grammys of the AI music space,' Narcis Marincat, head of AI at Fanvue, said in a statement.
Contest judges include (from left) Chris Johnson, head of A&R and talent ID at SoundCloud; music ... More producer Jeff Nang; and musician Josua Waghubinger.
The contest arrives as AI becomes an increasingly popular tool for musicians from amateurs to professionals — more than 60 million people used AI software to create music in 2024, according to the International Music Summit's 2025 Business Report. But while some musicians embrace AI as a collaborating partner, others fear it will impact their careers, and the very nature of creativity.
Earlier this year, more than a thousand musicians including Kate Bush, Annie Lennox, Imogen Heap, Billy Ocean and Riz Ahmed protested a proposed overhaul of U.K. copyright law that they fear will make it easier for AI companies to train datasets on their work without permission unless they proactively opt out (the bill passed last week). And last year, a metal band faced enough backlash for using an AI-generated album cover — one fan called it 'a big slap in the face to any real, living artists' — that it ultimately replaced it with a new one.
Spotlighting AI's Creative Promise
Organizers of the Future Music Awards say they want to highlight the creative potential of AI in music, and how it can be used responsibly across the music ecosystem.
All contest entries must be created and verified through contest partner TwoShot, a music platform with a database trained on royalty-free sounds and music sourced directly from rights holders. Because TwoShot users can also upload their own audio, the tool runs tracks through an automated licensing system to detect copyrighted content. Cleared contest entries will appear on a chart powered by online audio distribution platform SoundCloud, and anyone over 18 can enter with tracks in any genre or language. There is no entry fee.
Contest judge Nang says he'll be assessing submissions for the same qualities he values in music not created with AI. 'You're always looking for structure, style and taste,' he said.
Nang co-founded Controlla Voice, which lets users create AI singers, and he's built full choirs from his own voice with the product. 'I love to see what the new generation of music creators have been creating with these tools,' he said.
Another awards judge, Josua Waghubinger, is a trailblazing member of that new generation.
The Austrian musician, known by the stage name Butterbro, became the first artist to enter the official German single charts with a fully AI-generated song, 'Verknallt in einen Talahon,' composed with AI music service Udio. The tune combines a traditional style of European music known as schlager with bouncy pop to tell the story of a German girl with a crush on an immigrant.
Speaking over Zoom, Waghubinger said he hopes the Future Music Awards will spark conversation on how platforms can respect musicians and still encourage innovation, while reminding artists that experimenting with AI doesn't mean abandoning their own creative voice.
'It's important to always remember to keep the fun when we try to experiment with new technology, and never forget that we as humans can decide if we want to stay at the center of it,' he said.
'I see AI both as a tool and as a collaborator, depending on how it's used,' Waghubinger added, 'with the human touch remaining at the core.'

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Fast Company
38 minutes ago
- Fast Company
Why showing your work is the new mark of great design
As AI -generated content becomes ubiquitous, products that reveal the time, care, and judgment behind their creation will offer a powerful point of emotional and commercial differentiation. With today's AI tools, it's possible to generate a complete brand experience in just a few hours—a name, a logo, a campaign, even a polished website. These systems visualize concepts with startling speed, compressing what once took weeks into an afternoon. And while most outputs remain virtual, we're already glimpsing a future where AI begins shaping not just ideas, but production. As the barriers to creation continue to fall, and design becomes both instant and infinite, a new kind of value is emerging: the kind that takes time. At Whipsaw, we've embraced AI for what it enables—faster workflows, more iterations, and rapid ideation. However, as the process becomes more efficient, we find that clients and consumers are increasingly drawn to something more challenging to replicate: the human element. Evidence of judgment. Taste. Craft. Intention. In a world of instant outputs, human hours are the new luxury. When anyone can make anything Part of AI's early allure came from its black-box novelty—the delight of watching something surprisingly good appear out of nowhere. But novelty wears thin. What once felt magical now feels pervasive. Consumers are learning to recognize when content lacks context, authorship, or accountability. As AI-generated content becomes more common, people are beginning to look for signs of authorship and intent. Tools like Adobe's Content Authenticity Initiative reflect a growing demand for transparency in the creative process. At Whipsaw, we hear a version of this question every week: When AI can generate high-fidelity mockups in minutes, how do you prove the value of design that takes time? And increasingly, the answer is clear. You show your work. History, handwork, and value Throughout history, cultures have prized what visibly took time to make. A hand-thrown ceramic bowl. An embroidered sash. A gold-leafed manuscript. The visible labor wasn't just aesthetic—it was a testament to mastery and care. In the late 19th century, the Arts and Crafts movement emerged as a response to the soulless standardization of industrial manufacturing. In Japan, the philosophy of monozukuri —continuous, respectful craftsmanship—remains a foundational design ethic. These weren't just artistic ideals. They were economic signals. They showed that something, or someone, mattered in the making. Today, we're seeing a modern revival of that ethos. Proof of process, proof of value Revealing the process behind a product isn't just an old ethos. It's a contemporary design strategy—and a powerful form of differentiation. Mercedes-AMG's 'One Man, One Engine' program allows performance vehicle buyers to trace their engine to a single technician, whose name is engraved on a metal plate under the hood. It's not just a car. It's someone's work. And the value of that signature is reflected in the price. Across industries, one thing is becoming increasingly clear: Products that demonstrate their creation process—and the humans involved in it—are commanding greater emotional and financial value. Authorship, on display Showing your work means embedding human decision making directly into the product experience—making authorship a feature, not a footnote. In physical products, this might manifest as exposed welds or tool marks that reveal the manufacturing process, or QR codes that direct users to a company's build videos or sourcing maps. Luxury brands have long recognized the value of visible labor: Each Hermès Birkin bag is handcrafted by a single artisan, whose discreet signature marks authorship. That human connection helps justify a price point far above mass-produced alternatives—because the object tells a story of time, mastery, and care. Digital products can do the same. Consider apps that annotate decisions, such as Headspace, which surfaces the humans behind its meditation protocols, or which credits individual contributors to collaborative boards. Even subtle UI elements, like 'curated by' tags or changelogs authored by designers, remind users that a person—not an algorithm—shaped their experience. Brands can also spotlight their storytelling processes through behind-the-scenes content, documented iterations, or showing rejected directions that reveal how choices were made. The goal isn't to overwhelm, but to create touchpoints where human judgment is visible—and meaningful. The next innovation is intent As AI makes it easier to generate, replicate, and scale design, the rarest resource left is evidence of intent. Brands will increasingly compete not just on form or function, but on visible human investment—the time, care, and discernment embedded in the work. Before AI, much of that effort lived behind the curtain. The magic was in the reveal—what was shown, not how it was made. But now that anyone can shortcut to a polished result, the real value lies in everything that can't be automated. Process. Judgment. Intent. For consumers in a world of automation, that kind of clarity signals trust. It says: This wasn't just made. It was considered.


Fast Company
2 hours ago
- Fast Company
How to tell if the article you're reading was written by AI
So, we've all been there. You're two paragraphs into a blog post. The headline was catchy enough, the intro kind of made sense, and now your eyes are glazing over. You read over a word, a blurb, a sentence that sounds vaguely all-too-familiar and now you're wondering, 'Wait…did a human even write this?' Odds are, you're not imagining it. AI-generated content is everywhere. It is impossible to escape. While it's efficient, especially for meeting summaries and article recaps, you and I know the best content is the content that feels particularly human. When you spend your days working with AI (and creating comprehensive AI training for your team), you quickly start seeing how it's beginning to give itself away. Here's how to spot AI writing before you waste another five minutes of your life reading machine-generated clickbait. 1. It reads like someone trying to win an argument at a networking event. If every paragraph feels like it's trying to make a strong point without actually saying anything meaningful, you're probably in AI territory. Look out for generic phrases like 'in today's fast-paced world' or 'leveraging innovative strategies.' I've read these phrases so often that it occasionally feels right to use them as filler, like an SAT tutor that teaches your kid three big, impressive terms to use to crush the written portion of the test. Ultimately, this is the biggest red flag that you're reading AI-generated content. 2. There's 0% personality and 100% too much structure. AI content often follows a painfully clean format: intro, subheads, conclusion. The content might include some big words, but it's not fooling anyone. It reads like it went to school and graduated with honors, but never worked a day in the real world. Great for a college essay, not so realistic (nor creative) beyond that. There's no strong voice, no edge—just perfectly average takes. On this note, I'm seriously considering creating a support group for copywriters and marketers who embraced the em dash long before AI came around. While it's become popularized as an AI 'tell' of a blog post or article, too often it's a case of mistaken identity. Tread carefully. 3. It's bland, not very controversial. This flag can be a difficult one to spot in the moment, as it's important to consider varying perspectives and points of view. AI doesn't like to ruffle feathers, so you'll often find it hedging every single opinion. It'll say one thing, then immediately say the opposite to keep the peace. Look out for something along the lines of, 'While X has benefits, it's important to consider the potential downsides of Y.' Let's keep writing about things that may be controversial, with strong opinions and hot takes. When creatives are writing about a particular topic, and aiming to prove a point, it doesn't seem appropriate for them to include the counterargument. Right? You're reading to gain insight and perspective about whatever topic is at hand, not ride the see-saw. 4. The conclusion is weirdly robotic pep talk. If the article wraps with something like, 'As we move into the future, embracing innovation will be key,' congrats, you've hit AI bingo. These vague, motivational endings are a dead giveaway. The conclusion usually feels abrupt, as if AI knows it's necessary for sentence structure but is not willing to spend the time on making it truly meaningful. I rarely see a real person sign off their blogs, newsletters, or other content with such blatant corporate optimism. 5. Your brain feels…untouched. Maybe the biggest tell is how it makes you feel (or not feel). Great writing sticks with you. Even a short blog post can inspire, surprise, or challenge you. But AI-written content, on the other hand, is like a lukewarm shower. Technically fine. Emotionally forgettable. I wouldn't go so far as to claim that specific words, 'key,' 'crucial,' 'robust,' or 'comprehensive' are always AI indicators, but it is true that most writing tools can't resist overusing their favorite buzzwords. Even ChatGPT refers to these words as its 'greatest hits list,' so it's no wonder that my mind is exhausted from seeing them in other's writing. I use AI daily to optimize my workstreams, beat creative blocks, and sharpen my emails. And if I don't pay attention and refine my prompts, my results will be rampant with these 'tells.' Don't believe me? Test it out using ChatGPT. With a little practice, you'll soon be able to spot an AI-generated story from a mile away.


Bloomberg
2 hours ago
- Bloomberg
Bloomberg Businessweek Daily: Amazon's Chief Technologist
Amazon's robotics unit has just deployed its one millionth robot, building on its position as the world's largest manufacturer and operator of mobile robotics. This milestone robot was recently delivered to a fulfillment center in Japan, joining a global network that now spans more than 300 facilities worldwide. Tye Brady, Chief Technologist for Amazon's expansive robotics unit, explains how new AI technology will make the world's largest fleet of industrial mobile robots smarter and more efficient.