Interview, Podcast
AI and the Creator Economy with Karen X Cheng
- Karen Chang transitioned from a failed YC-stage startup (Get It 100, focused on sharing skill-learning journeys) to a digital creator with over 1 million followers, ultimately recognizing that "being an influencer" was her optimal career path after trying various roles including agency work and corporate employment.
- Her primary growth "unlock" was shifting from posting only polished, viral one-off videos to sharing "behind-the-scenes" content; this strategy worked because modern algorithms favor established follower bases over one-time viral events driven by cold outreach to reporters.
- Chang notes a fundamental shift in social media dynamics: the platform has evolved from a "social graph" (friends/family) to an "interest graph" driven by opaque algorithms, leading creators to optimize for "black box" metrics rather than human tastes, a shift she describes as akin to a "cult."
- She adopted AI tools (DALL-E, Midjourney, Stable Diffusion) after feeling creatively stagnant with traditional camera tricks, viewing the nascent state of AI as a "free-for-all" where she could pioneer unique storytelling techniques not yet explored by researchers who focus solely on white papers.
- Chang employs a specific stack of tools to create her work, including:
- DALL-E, Midjourney, Stable Diffusion, Disco Diffusion for image generation.
- Dane for applying artificial slow motion to stop-motion footage (used in her "lawnmower" video).
- NeRF for scanning scenes into 3D light fields that handle reflections better than traditional photogrammetry.
- EBSynth to translate DALL-E images into video sequences.
- CapCut and FaceTune to convert images to 3D and fix AI-generated facial artifacts, respectively.
- For the Cosmo magazine cover (the first AI-generated cover), Chang utilized a "woman astronaut" concept to bypass DALL-E's early restrictions on human faces and avoid racial stereotyping, requiring hours of iterative prompt engineering (e.g., switching from "walk confidently" to "walk with swagger" to achieve the desired body language) and "in-painting" to correct imperfections.
- The creative process with AI is described as bidirectional and collaborative; Chang notes that AI often provides unexpected results that steer the creative direction, contrasting with the unidirectional nature of traditional prompt engineering.
- Chang advocates for an "optimistic" framing of AI (Human + AI) over a "human vs. machine" narrative, consciously rejecting clickbait tactics that fear-monger, as she believes long-term brand respect and business viability rely on consistent, positive content rather than transient viral attention.
- She posits that while AI significantly lowers the barrier to entry for artistic creation, it will not eliminate the need for top-tier outliers; instead, the "filter" will shift from technical skill (e.g., oil painting) to creativity, iteration patience, and prompt engineering.
- Chang warns of severe downward price pressure on creator labor as AI democratizes skills, predicting that only highly recognizable creators will maintain high rates while the "average" creator faces commoditization.
- In 2022, corporate adoption of AI for cover art and imagery is described primarily as a "gimmick" or "headline grabber" rather than a genuine workflow replacement, though Chang predicts a shift toward actual workflow integration in 2023 as the technology matures.
- Regarding Intellectual Property (IP) and compensation, Chang argues that human creativity remains the value driver: if a human is hired to use AI as a tool, they must be paid human rates, not the cost of the software prompts.
- Chang advises against specializing in "prompt engineering" as a long-term skill, citing that AI will soon generate prompts itself; instead, she recommends a mindset of constant learning and adaptability to survive an era where no career is static.
- She suggests that the future of ethical AI regulation will likely rely on hardware-level metadata (similar to nutrition facts) to distinguish AI-generated content, particularly for high-stakes scenarios like political messaging, though she expresses hope for cultural pressure to enforce ethical standards before regulation catches up.
- Chang's future focus is on "doing her best work" rather than chasing celebrity partnerships or high follower counts, viewing the pursuit of specific "dream clients" as a lower-level need compared to the creative fulfillment of executing original ideas.