AI user growth trends: ChatGPT trails Gemini
A recent report indicates a clear divergence in user growth across leading generative AI platforms, with direct implications for creative technology strategies in music. ChatGPT’s global monthly active users only grew by around 5% from August to November, while Gemini’s users grew by about 30%. For music industry professionals, these shifts matter because AI tools increasingly underpin content development, marketing, audience engagement, and operational workflows.
The differing growth trajectories suggest that creators, marketers, and teams across labels, publishers, and live businesses should avoid assuming a single AI platform will dominate. Instead, the data argues for a pragmatic, multi-platform approach. Teams experimenting with AI for marketing copy, social content, fan messaging, metadata enrichment, research, and ideation may find benefits in testing both ChatGPT and Gemini to benchmark output quality, speed, and suitability for specific tasks.
From August to November, the period covered by the report, many campaigns ramp up for fall release schedules and holiday releases. In this window, a 5% rise for ChatGPT and about 30% for Gemini may indicate evolving user preferences, product updates, or ecosystem effects. Regardless of the drivers, music companies should build process flexibility that allows switching or blending tools based on performance, compliance needs, and team familiarity, rather than relying on one solution.
For A&R and creative teams, AI is increasingly used for ideation, lyric drafting support, and mood-board style prompts. Marketing departments leverage it for audience insights, campaign skeletons, and iterative copy. Operations teams apply AI to improve workflows such as support responses, internal documentation, and data hygiene. In all cases, comparative testing between ChatGPT and Gemini can help establish which platform better aligns with organizational standards and brand voice while staying within legal and ethical boundaries.
Risk and governance also remain central. Music companies should formalize guidelines around AI usage to prevent leakage of confidential information, ensure proper handling of artist data, and maintain compliance with intellectual property policies and contractual obligations. Establishing clear review checkpoints—human-in-the-loop standards, documentation of prompts and outputs, and policy-compliant usage—will reduce risk while maximizing utility. Teams should also monitor how AI tools handle references to copyrighted works and how outputs are filtered to meet legal and brand safety requirements.
Strategically, the reported growth differences can inform budget planning and vendor diversification. A platform showing faster user expansion may attract third-party tool builders and integrations, potentially offering new capabilities useful for labels, distributors, publishers, and management firms. Conversely, steady or slower growth can correlate with stability and maturity in workflows. The net takeaway: maintain optionality, run comparative pilots, and train staff on multiple platforms to safeguard continuity and creative quality.
As the industry scales AI adoption, monitoring growth metrics—such as the around 5% increase for ChatGPT and the about 30% rise for Gemini from August to November—can serve as a practical proxy for momentum. Pair those signals with internal performance audits to select the right AI stack for each use case, from campaign planning to catalog operations.
Based on reporting by TechCrunch Apps