From Marvel to Marketing

How generative image tools are simultaneously eliminating jobs and enhancing careers

Happy Monday!

The image that graced Marvel's "Secret Invasion" opening credits in 2023 wasn't crafted by a team of artists toiling for weeks. It was generated by AI. This controversial decision sparked immediate backlash among artists and viewers alike.

While debates rage about whether AI will replace human jobs, a more nuanced reality is emerging in creative fields. AI image generation tools have rapidly evolved from research curiosities to production-ready systems that are reshaping advertising, design, and entertainment. The transformation isn't simply about replacement, but rather a complex restructuring of creative processes with winners and losers on both sides.

AI image generation has reached commercial maturity and is being deployed across advertising, design, and entertainment industries. While it's automating entry-level creative tasks (potentially displacing junior roles), it's simultaneously enhancing the capabilities of experienced professionals. The result is a dual-track transformation where creative careers are being redefined rather than eliminated entirely, though the transition is proving painful for many freelancers and early-career artists.

TL;DR

The Meta Trend

We're witnessing the emergence of a "creative divide" in visual industries, where AI serves as both destroyer and enabler. On one side, routine visual production tasks once handled by junior designers, concept artists, and illustrators are increasingly automated. On the other side, experienced creative professionals are gaining powerful new tools that expand their capabilities and output.

This duality challenges the traditional career ladder in creative fields. The entry-level positions that once served as training grounds for aspiring artists are diminishing, while those who successfully establish themselves may find AI amplifies their creative reach and value. This shift is creating winners and losers, not just between humans and machines, but among different segments of the creative workforce itself.

Pattern Recognition

Three key patterns highlight this emerging dynamic:

  1. The Entry-Level Creative Squeeze: Concept artist RJ Palmer observed that a single art director armed with AI could "take the place of 5-10 entry level artists." This isn't hypothetical anymore: freelance concept designer Reid Southen saw his 2023 income fall to less than half of previous years as film producers began using Midjourney instead of hiring artists. Similarly, in advertising and graphic design, tasks like initial concept sketches, mockups, and stock imagery, all traditional starting points for junior creatives, are increasingly being handled by AI. The squeeze is particularly acute for freelancers on platforms like Upwork, where clients can now generate basic designs, illustrations, or logo concepts themselves rather than hiring humans for first drafts.

  2. The Creative Director Amplification Effect: While junior roles face automation pressure, experienced professionals are leveraging AI as a creative multiplier. Advertising giant WPP launched an AI-powered Production Studio enabling clients to produce "exponentially more content" with human oversight ensuring brand consistency. Coca-Cola now uses AI to personalize marketing imagery across 100+ global markets, something previously impossible at scale. For senior creatives, AI isn't replacing judgment or taste, but rather extending reach: an art director can explore dozens of concepts in minutes, select promising directions, then refine them with purpose. This creates a pattern where creative leadership becomes more valuable, even as production tasks diminish.

  3. The Evolution of Creative Value: A new paradigm is emerging where creative value shifts from technical execution to curation, direction, and refinement. Some freelancers report earning 40% more by incorporating AI into their workflows, focusing on the uniquely human elements that machines can't replicate. In film production, while concept art may now begin with AI generation, human artists still provide the crucial refinement that elevates basic imagery to production quality. Similarly, in advertising, AI may generate countless variations, but humans determine which ones effectively communicate the brand's message. The value now lies increasingly in knowing which outputs to select, how to improve them, and ensuring the final product meets strategic goals—skills that remain stubbornly human.

The Contrarian Take

The conventional narrative suggests that AI poses an existential threat to creative professions. But what if we're actually heading toward a renaissance of human creativity, albeit one with a painful transition period?

Consider that throughout history, automation has typically eliminated rote tasks while creating new opportunities that leverage uniquely human abilities. Photography didn't eliminate painting, but it transformed it, pushing artists toward expressionism and abstraction rather than mere representation. Desktop publishing didn't eliminate graphic designers, but it did expand the field by making design more accessible and necessary.

The truly contrarian view is that AI image generation could ultimately expand creative opportunities by democratizing visual expression and increasing demand for distinctive human touch. As AI-generated imagery becomes ubiquitous, the premium on genuinely original human creativity may actually increase. The commoditization of "good enough" visuals could drive greater appreciation for exceptional human creative direction and authentic artistic vision.

This perspective suggests that rather than competing with AI on its terms (speed and volume), creative professionals should double down on the aspects machines cannot replicate: conceptual thinking, emotional resonance, cultural context, ethical judgment, and the unique human spark that distinguishes truly compelling work from technically proficient but soulless output.

Practical Implications

For organizations and individuals navigating this shifting landscape, several actionable insights emerge:

  • For creative agencies: Integrate AI as an enhancement to human teams rather than a replacement strategy. WPP's approach of keeping "human oversight at every stage" while using AI to scale production offers a blueprint. Create clear workflows that define when AI serves as first-draft generator, when it augments human work, and when human creativity leads entirely.

  • For creative professionals: Focus skill development on areas machines struggle with like strategic thinking, client communication, cross-disciplinary integration, and the ability to inject cultural relevance and emotional resonance. Learn prompt engineering as a creative skill, but recognize it's your judgment and refinement that add the crucial value AI can't provide.

  • For brands and clients: Recognize that while AI can dramatically increase content volume and variation, human creative oversight remains essential for maintaining brand integrity and emotional connection. The most effective approach combines AI's scale with human discernment, not simply choosing the cheapest option.

  • For educational institutions: Restructure creative curricula to emphasize conceptual thinking, art direction, and refinement skills rather than merely technical execution. The next generation of creative professionals needs to understand both how to use AI tools and, more importantly, how to elevate their output beyond what AI can produce alone.

  • For policymakers: Consider how to protect creative livelihoods while embracing innovation. The controversy over AI models training on artists' work without compensation points to the need for frameworks that respect creative labor while enabling technological progress. Solutions might include compensation models for artists whose work trains AI systems, or transparency requirements that clarify when AI has been used in commercial work.

In motion,
Justin Wright

Will the most compelling future be found in seamless collaboration between human directors and AI tools—creating a new aesthetic that's neither fully machine nor fully human, but something entirely new?

The Next Big Question
  1. Halfmoon is Reve Image (X)

  2. Ideogram 3.0 (Ideogram)

  3. BMW and Alibaba Deepen Strategic Partnership in China (Alizila)

  4. Our most intelligent AI model (Google)

  5. Introducing 4o Image Generation (OpenAI)

  6. Apple Joins AI Data Center Race After Siri Mess (IB Daily)

  7. DeepSeek v3 Launched as Open source (Huggingface)