Unlock Potential: Combine Human Creativity with AI
Where is your heading?
That feeling, deep down inside, after you hit send on something you created with AI? You know the one. A little guilt, a little "is this cheating?", maybe a touch of anxiety about how quickly you finished the task. That, my friends, has a name: “Synthetic Shame”.
Synthetic shame is the uneasy feeling that arises when you pass off AI-generated work as your own. And it's something we need to talk about. To help us understand synthetic shame, we were introduced to the Synthetic Shame-o-meter(™), a tool that measures your shame level based on the task and the expectation of originality. Using AI for a quick email subject line? Low shame. An Instagram caption? Moderate. A full client draft with your byline? High shame makes this a risky move!
Steve Persch Is on the scene
So, why do we feel this shame? It boils down to a few things:
- Misattribution of authorship: Taking credit for what the AI did.
- Hiding AI use: Even experienced professionals are doing it.
- Replaceability anxiety: The fear that AI might take our jobs.
But hiding AI use has significant consequences. It leads to algorithmic convergence, where AI is constantly trained on similar, hidden AI-generated content, resulting in generic, unoriginal output. This could eventually lead to a Zero Originality Point (ZOP), a future where all content is identical, making us wonder about our own value.
The solution? Digital Doppelgangers! AI's real power lies in mimicry. It can learn your style, voice, and even your thought process. A digital doppelganger is an AI trained to imitate you, working alongside you but remaining distinct. The keynote speaker, for example, used a "Groudini" – their own doppelganger – to help create the speech.
The benefits of digital doppelgangers are many:
- More unique and distinctive content.
- Better and more efficient work through human-AI collaboration.
- Transparency: By naming your doppelganger and sharing credit, you eliminate synthetic shame and cultivate pride.
- Reduced replaceability anxiety, as it's about "intelligence augmentation" which means you own these AI assets.
If you're one of those who feels "no shame" when using AI, be cautious. This can be a sign of moral disengagement, where cheating becomes so normalized you stop feeling bad about it. We need transparency demand from everyone – customers, clients, and the public want to know how AI is being used.
To challenge yourself and embrace this new reality:
- Avoid simply cutting and pasting prompts.
- Train your own doppelganger (start small!).
- Collaborate with your doppelganger.
- Be transparent and name your doppelganger!
The second speaker from Adobe highlighted that while AI isn't new, its quality and lower cost are game-changers. It's the fastest-adopted tech she's seen, with tools like Firefly generating billions of images a month. The combination of human creativity and AI offers unlimited possibilities, no longer constrained by time.
Here are four key areas where AI is unlocking unlimited potential:
- Brand Discovery (aka "Generative Engine Optimization" or GEO): LLMs are becoming the new "front door" for discovery. With organic traffic declining and LLM referral traffic increasing, we need to rethink our content to be "AI-friendly." This means answering questions with authority and optimizing for conversational queries.
- Personalized Marketing at Scale: The old approach of creating vast amounts of content for all audiences is giving way to a new era where customers want to be the "protagonist" in the brand story. AI helps create a "river of personalized content" at scale, tackling the "math problem" of needing so much content. Examples include personalized Gatorade bottles and video localization in 13 languages, dramatically reducing asset creation time. The implication is delivering 10x the content with high quality and on-brand.
- World Building: Brands are seeking IP-protected "universes" with hundreds of thousands of connected assets and AI training. Off-the-shelf models aren't enough. Tools like Adobe's "Firefly Foundry" can train on specific characters, environments, and styles, even understanding hyper-local cultural nuances. This shrinks the time from idea to final product and allows more ideas to flourish.
- Agents: AI isn't taking over; it's providing intelligent creative assistants. You remain in control, directing the AI (like suggesting edits in Photoshop). These AI copilots can help with website changes, finding perfect video shots, or making design elements "pop" without needing technical creative knowledge. The implication is that human taste and ingenuity become even more important as execution becomes democratized.