What Is Generative AI and How Does It Create Music?

Generative AI is software that learns patterns from large datasets and then produces new content in the same format — text, images, or, in the case of music tools like AIVA, original compositions. It differs from traditional software because nobody writes rules for each output; the model infers structure from examples and generates something that did not exist before. If you want to understand whether an AI music tool fits your workflow, the practical questions are what you can input, what you get back, and who owns the result.

How generative AI differs from traditional software

Traditional music software follows explicit instructions: you place notes, set a tempo, and the program plays back exactly what you entered. Generative AI inverts that relationship. You describe or supply a starting point, and the model proposes material.

The mechanism is pattern learning. A model is trained on a large body of existing music, and it learns statistical relationships — which chords tend to follow others, how melodies resolve, how rhythm and instrumentation co-occur. When you request a track, it samples from those learned relationships to build something new rather than retrieving a stored file.

That distinction matters for expectations. Generative output is not a search result and not a template. It is a plausible new arrangement shaped by the patterns in its training data, which is why results vary between runs and why editing is usually part of the workflow.

How generative AI is applied to music composition

AIVA, described on its site as "your personal AI music generation assistant," illustrates the typical pipeline. The company says it can generate new songs in more than 250 different styles in a matter of seconds, and that it works for both complete beginners and seasoned professionals.

Inputs: what you give the model

• Style selection — choosing from the available style range to set genre and mood direction.
• Custom style models — AIVA states you can create your own style models, which lets you steer generation toward a sound you define rather than a preset.
• Audio or MIDI influence — you can upload an audio or MIDI file as an influence, so the generated material follows characteristics of existing material you provide.

Actions: what you do with the output

Generation is a starting point, not a finished deliverable. AIVA's page lists editing of generated tracks as part of the workflow, alongside downloading in a range of file formats. The stated design goal is workflow flexibility: "Whatever your workflow is, we support it."

Outputs: what you receive

• MP3 and MIDI downloads on all paid tiers and the free tier
• WAV export and "ALL file formats" on the Pro plan
• Track durations that scale with plan: up to 3 minutes on Free, up to 5 minutes on Standard, up to 5 minutes 30 seconds on Pro

MIDI matters if you plan to keep composing in a DAW, because it carries note data you can re-voice and rearrange. WAV matters if you need a finished audio file at higher quality.

Ownership and licensing: the part that decides most projects

For AI-generated music, the license terms usually matter more than the generation quality. AIVA's plans differ mainly on this axis.

Two conditions are easy to miss:

• Credit. Free-tier users must credit AIVA. Standard and Pro users do not need to credit AIVA.
• Copyright transfer. AIVA states that Pro subscribers "own the full copyright of your compositions, forever." On Free and Standard, copyright stays with AIVA, which is why monetization is restricted or absent.

Student and school discounts exist but are not published as a rate — AIVA directs you to a contact form or live chat. Annual billing is discounted relative to monthly (26% off on Standard, 33% off on Pro, as stated on the pricing page).

Deciding whether to try it

Match the plan to your actual use case rather than to output quality, since generation capability is the same across tiers:

• Personal or study use, no monetization, credit is fine → Free tier covers it, at 3 downloads per month and 3-minute tracks.
• Monetizing on YouTube, Twitch, TikTok, or Instagram only → Standard, which removes the credit requirement and allows limited monetization.
• Selling music, licensing to clients, or publishing anywhere outside those four platforms → Pro, because it is the only tier where you own the copyright and monetization is unrestricted.
• Needing WAV or long-form tracks → Pro, since WAV export and the longest duration are Pro-only.

A practical test before committing: generate a few tracks in the style you need, export the MIDI, and check whether the material is usable after your own editing. If the raw output needs so much rework that it stops saving time, the license tier is irrelevant. If it gives you a workable starting point, then pick the tier that matches where the music will be published.