$30M Writer: Never write AI slop again
Greg Isenberg · 2026-09-21
💡 Quick Take
1. Use AI for repeating and remixing, but skip letting AI do your original thinking or first-draft writing.
2. Build a digital brain and personal language library to feed AI approved language rather than raw prompts.
3. Avoid treating all content equally; distinguish clearly between commodity content, personality content, and original insights.
4. Skip the shortcut of trying to have robots bypass the hard work of writing, as that ultimately slows you down.
5. Use personal history, formative mistakes, and unique worldview details to form an unmade data set that differentiates your brand.
6. Don't wait for your voice to magically appear; use regular publishing and iteration to discover your authentic writing rhythm and vocabulary.
7. Use high-volume multi-platform publishing infrastructure to distribute your crystallized ideas without sacrificing content quality.
📊 Detailed Explanation
The speaker emphasizes that writing with AI requires a very specific approach: use AI to repeat, remix, and scale your existing body of work, but avoid letting artificial intelligence do your core thinking. When creators try to skip the step of writing and rely entirely on LLMs to generate content from scratch, the output invariably turns into generic AI slop. Instead, the highest leverage move is to do the writing yourself so that you establish approved language and clear perspectives that AI can later leverage.
Building a digital brain or a personal language model acts as the foundational repository for your ideas, stories, and opinions. This library serves as an unmade data set containing your formative life experiences, personal anecdotes, and distinct worldview points. Rather than forcing AI to guess your perspective on every topic, feeding your approved content library into an LLM ensures that any repurposed short-form posts or multi-platform content accurately reflect your voice and agree with your established viewpoints.
Content creation must be categorized across different value tranches, specifically commodity content, personality content, and original thinking. Commodity content consists of widely accepted facts or general advice that, while helpful for absolute beginners, offers the lowest leverage because it lacks unique attribution. By layering in personal data points, such as specific career milestones, life history, or idiosyncratic beliefs, creators can produce personality content that vastly outperforms standard, highly credible commodity text by building genuine audience affinity and ownership through association.
Language is fundamentally open source, meaning individual words and common phrases belong to no single person. True ownership in writing is achieved through association—meaning audiences connect certain topics, formats, or phrases directly with your identity over time through consistent volume and distinct perspectives. Creators often falsely believe that simply touching the keyboard makes a grouping of original words their own, when in reality, arriving at true original thinking requires years of crystallizing your worldview within a specific niche.
When evaluating different mediums like short-form video versus written essays, the speaker notes that the foundational mechanics remain identical because video scripts are ultimately written text. Furthermore, content must be evaluated on a spectrum between timely execution—such as capitalizing on a breaking tech meme for a 24-hour window—and timeless creation, which builds enduring value for a digital library over a decade. Balancing these horizons allows creators to align their expectations regarding short-term distribution metrics versus long-term asset accumulation.
Finally, mastering your writing voice is not an innate, untouchable mystery, but rather a bundled combination of deliberate word choices, sentence lengths, and structural rhythms. Many writers who claim to dislike their own voice are simply masking a fear of the blank page and an unwillingness to put themselves out there. By committing to high publishing volumes and building a robust operational infrastructure—such as aiming for multiple pieces of content daily fueled by a centralized company or personal brain—writers can unlock massive distribution leverage in the modern AI landscape.
🎯 Tech Expert Opinion
The speaker provides a remarkably refreshing and strategically sound framework for navigating content creation in an era saturated by automated text generation. By correctly identifying that AI should serve as a repeater and remixer rather than a primary thought generator, the advice directly combats the flood of generic AI slop currently degrading digital platforms. Creators who heed this warning and invest time in building structured digital repositories will ultimately establish sustainable moats that automated commodity writers simply cannot penetrate.
The core recommendation to prioritize personal narrative and distinct points of view over purely sanitized, highly credible commodity writing is backed by clear psychological and distribution realities. Audiences connect with humans, vulnerabilities, and idiosyncratic life details much faster than they do with disembodied authority. By framing ownership as association rather than legal word-monopolies, the speaker demystifies personal branding and offers a liberating roadmap for founders and creators who feel their backgrounds are too mundane to share.
At the same time, maintaining a publishing cadence of multiple pieces per day requires serious operational discipline and technical infrastructure that many solo creators or early-stage teams may struggle to execute. Building a personal language model or a corporate second-brain demands rigorous knowledge management practices using tools like Obsidian or specialized SaaS platforms. Without a disciplined ingestion and tagging system, an unorganized idea bank quickly devolves into digital clutter that even advanced LLMs cannot effectively synthesize.
Ultimately, this masterclass serves as a mandatory reality check for anyone attempting to vibe-code their marketing strategy through lazy prompting. The unequivocal advice is to use AI strictly as an operational force multiplier while keeping human cognition, perspective-taking, and raw writing firmly at the center. Those who embrace the difficult, unglamorous work of crystallizing their personal thinking will build enduring digital assets, while those seeking instant shortcuts will continue to produce forgettable commodity noise.
Kanal: Greg Isenberg