AI as Creative Tool or Artistic Threat?
AI in creative work refers to using machine-driven systems as part of music production and filmmaking, from generating lyrics and sounds to planning shoots, editing footage, and even synthesising performers; the core debate is whether these AI music production and AI filmmaking tools enrich human imagination or reduce art to cheap, automated content that bypasses the messy, personal processes artists rely on for surprise, emotion, and originality. Today’s leading musicians and directors are not arguing about whether AI exists, but about what counts as real creativity when software can now imitate much of what studios used to do by hand. This split matters because technology is no longer an optional add-on. The creative industries are being rebuilt around data and automation, yet the artists at their centre are far from united about how far they are willing to go with creative AI adoption. Some are treating AI like another instrument; others see it as a direct attack on the soul of their work.
Luke Steele: AI as a "Really Smart Guitar Pedal"
Luke Steele from Empire of the Sun wants artists to stop moralising about AI and start treating it like studio hardware. In his view, AI music production is not a rival to human creativity but a “really smart guitar pedal” that bends ideas, flings them somewhere unexpected, and shakes songs loose when they stall. He and Nick Littlemore are already living that philosophy: instead of typing prompts and waiting for finished tracks, they have built custom tools that sit inside their existing workflow. One of these tools, Song Mountain, is stocked with ancient quotes, scripture, and overheard street fragments, then used to stir lyrical ideas rather than replace writing altogether. Another blends unlikely musical references—Steele jokes about asking what happens if Aphex Twin gets drunk with Tom Waits in 1970—to yank half-formed songs into new territory. His warning is blunt: “AI is going to empower artists that know how to use it, and they’re going to become unstoppable,” while hold-outs risk being “swallowed by the technology ‘like a boogie monster at night.’”
Thomas Bangalter and James Gray: Rejecting the Shortcut
On the other side are artists who reject AI not because they fear machines, but because they fear losing the very process that makes art meaningful. Thomas Bangalter, long known for making electronic music under robot helmets, has no interest in using AI to compose. He calls AI a shortcut in music creation, “a way to bypass the creative process,” stripping away surprise and humanity. For him, the output is not the point; the journey—spontaneous, intuitive, instinctive—is the art. “Why would I want to bypass the moment that I’m passionate about?” he asks. Director James Gray goes even further, branding AI “worthless” and arguing that its supposed influence on cinema has been overstated. He believes audiences are increasingly hungry for authenticity and originality, not algorithmic novelty. To Gray, obsession with “newness” is a business fantasy rooted in copyright and capitalism, while art is about emotion, beauty, and transcendence. That is why, he concludes, AI “will never be able” to recreate his distinctive imprint on a film.
Hollywood’s Quiet AI Rollout
While high-profile directors rail against AI, Hollywood as a machine is steadily wiring it into everything. Anger over generative systems writing scripts and cloning actors helped spark major strikes in 2023, and some filmmakers still say they would “snap my fingers” to make AI disappear. Yet behind the scenes, studios are using AI across script development, production planning, shot generation, and editing. Netflix recently bought an AI production company led by Ben Affleck and says it has already used AI in about 300 titles this year. Another streamer’s GenAI fund backed an AI-supported animated series that collapsed after death threats, a reminder of how toxic the topic remains. The tools are not only about spectacle. One director used AI to superimpose a raging torrent over a trench, avoiding a dangerous stunt, while battle scenes in a documentary were produced “twice as fast and at half the cost” using AI-enhanced footage. At the margins, startups slice old series into smartphone-ready clips with AI, giving back catalogues new life. Consumers are unlikely to know these tools are at work, but they will feel their impact in cheaper, faster, and more abundant content.
What the Divide Reveals About Modern Creativity
The clash between artists who embrace AI and artists who reject AI exposes a deeper unease about what counts as creative labor. Steele’s camp sees AI music production and AI filmmaking tools as the latest sampler or synthesiser, destined to become routine parts of the studio furniture. Bangalter and Gray see the same systems as shortcuts that flatten risk, idiosyncrasy, and the flawed human choices that make works memorable. Their disagreement is not about whether AI can save time; everyone acknowledges that. It is about whether saving time is compatible with preserving mystery. Hollywood’s “don’t ask, don’t tell” approach to creative AI adoption shows executives betting that audiences care more about volume and polish than about how the sausage is made. Gray counters that viewers now value authenticity more, not less. The likely outcome is not a winner-takes-all future, but a permanent split: AI will become an uncontroversial piece of filmmaking infrastructure for many, while a vocal minority keeps insisting that some parts of art must stay stubbornly, inefficiency human.
