I make money creating AI music
TLDRIn this video, the creator explores the potential of AI-generated music as a money-making venture, dispelling fears and showcasing a practical approach to stand out in the saturated music market. Utilizing market research tools like HRS, the creator identifies popular genres and demonstrates how to create AI music using platforms like sunno. The process includes crafting album art, uploading music to distributors, and leveraging multiple platforms to mitigate industry risks. The results reveal modest earnings from a gaming music album and the importance of diversification in the music industry.
Takeaways
- 😎 The creator experimented with AI music for 30 days to explore its potential for generating income.
- 🎵 AI music is controversial, with artists like Bad Bunny and Billy Eilish expressing concerns about its impact on their careers.
- 💡 AI music is here to stay and is expected to improve over time, offering opportunities for regular people to make money.
- 🔍 Finding a market is crucial; creating music without a target audience is not effective due to the sheer volume of content on platforms like Spotify and YouTube.
- 🔑 The key to standing out is to upload content that people are actively searching for, using market research tools like HRS to identify trends.
- 🎼 The creator chose to focus on gaming music and baby sleep music after researching popular genres and ensuring they fit the market demand.
- 🛠️ Two dominant platforms for creating AI music are udio and sunno, with the creator preferring sunno for its professional sound and unique tracks.
- 🎨 Creating AI music involves using prompts to guide the AI in generating the desired style of music, ensuring it aligns with market preferences.
- 🖼️ Album artwork is important for attracting listeners, and inspiration can be drawn from current trends on platforms like Spotify.
- 🚀 Uploading music to platforms is straightforward with the use of distributors, but it's essential to use multiple to mitigate the risk of scams.
- 📈 Results from the experiment show that with no promotion, the albums gained significant plays and generated royalties, indicating the potential of AI music.
Q & A
What is the main topic of the video transcript?
-The main topic of the video transcript is about making money by creating AI music and the process the author went through to experiment with it.
Why is AI music controversial according to the transcript?
-AI music is controversial because artists like Bad Bunny and Billy Eilish have expressed concerns about the threat AI music poses to their careers.
What is the first step the author took in their AI music creation process?
-The first step the author took was to find a market by using a market research tool to understand what people are searching for in music.
What tool did the author use for market research?
-The author used a market research tool called HRS to find out what people are searching for on Google.
Why did the author choose gaming music and baby sleep music for their experiment?
-The author chose gaming music and baby sleep music because these genres were among the most searched for on Google, indicating a potential market.
What are the two companies mentioned that are dominating AI music in the market?
-The two companies mentioned that are dominating AI music in the market are Udio and Sunno.
How does the author ensure the AI music they create fits the market demand?
-The author ensures the AI music fits the market demand by creating exactly the type of music that people are searching for, thus achieving product-market fit.
What platform did the author use to create the album artwork?
-The author used Canva to create the album artwork, inspired by the current trends in album covers on Spotify.
How did the author upload their AI music to platforms like Spotify?
-The author used a distributor called Emu Bands to upload their AI music to platforms like Spotify.
What was the outcome of the author's experiment after one month?
-After one month, the author's albums had just under 35,000 plays on Spotify and earned a little over $83 in royalties.
Why does the author use multiple distributors for uploading music?
-The author uses multiple distributors to hedge their bets and diversify exposure to avoid being scammed, as they have been a victim of such scams in the past.
Outlines
🎵 AI Music Experiment & Market Research
The speaker discusses a month-long experiment with AI music to evaluate its potential for generating income. They highlight the controversy surrounding AI music and its impact on artists like Bad Bunny and Billy Eilish. The speaker's interest in both music and business led them to explore the possibility of a profitable venture in AI music. They share their findings on how to identify a market, create AI music, and the expected earnings from it. The process is described as platform-agnostic, applicable to YouTube, Spotify, and the iPhone app store. The speaker also reveals their initial steps, including market research and the use of a tool called HRS to understand search trends, which is crucial for standing out in the crowded music market.
🎮 Creating and Uploading AI Music
The speaker details the process of creating AI music using platforms like sunno and yudo, with a preference for sunno due to its professional sound and unique tracks. They emphasize the importance of creating music that fits the market demand, as identified through the market research phase. The speaker then describes the process of extending track lengths, compiling an album, and creating album artwork inspired by current trends on Spotify. They use chat GPT and Canva to design the artwork and provide a step-by-step guide on uploading the album to a distributor, such as emubands, without any initial promotion. The results from the experiment are shared, including the number of plays and earnings from Spotify royalties after one month, highlighting the potential for growth with more albums and the importance of diversifying distribution to mitigate risks of scams in the music industry.
Mindmap
Keywords
💡AI music
💡Controversial
💡Market research tool
💡Product Market Fit
💡EDM
💡Dubstep
💡Sunno
💡Album artwork
💡Distributor
💡Royalties
Highlights
Experimenting with AI music for 30 days to explore its potential for generating income.
AI music is controversial, with artists like Bad Bunny and Billy Eilish expressing concerns about its impact on the industry.
Despite controversy, AI music is expected to persist and improve over time.
The presenter's aim is to determine if there's a viable money-making opportunity in AI music for regular people.
Market research is crucial before creating AI music to ensure it stands out in a saturated market.
Using HRS, a market research tool, to identify what people are searching for on Google and other search engines.
Identifying popular music genres such as Christmas music, classical, and calming music through search trends.
Choosing specific music genres like gaming and baby sleep music for the experiment based on search trends.
The importance of creating music that fits the market demand to achieve product-market fit.
Using AI music platforms like uDio and Sunno to create music, with a preference for Sunno for its professional sound.
Creating an account on Sunno, setting instrumental mode, and using prompts to generate AI music tracks.
Using the 'extend' feature to lengthen tracks and compiling an album with over 20 tracks that fit the desired vibe.
Creating album artwork inspired by current trends on Spotify, using tools like Chat GPT and Canva.
Uploading the album to a distributor like emu bands without initial promotion, relying on market research for natural interest.
Results from the experiment: over 35,000 plays on Spotify in a month, with nearly 3,400 streams per day.
Earnings from Spotify royalties based on the number of streams, highlighting the potential for income generation.
The presenter's strategy of using multiple distributors to mitigate the risk of being scammed in the music industry.
A cautionary note about the reality of scams in the music industry and the importance of diversifying distributor risk.
Encouraging viewers to stay informed and take a cautious approach when venturing into AI music creation and distribution.