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In a rapidly evolving digital landscape, the proliferation of Artificial Intelligence (AI) in content creation has sparked a critical debate: is human "taste" becoming obsolete? Brittany Lieu, a Marketing Consultant at Heinz Marketing, argues that far from diminishing, human judgment, discernment, and editorial acumen are more crucial than ever. As AI excels at the mechanics of content production—writing, structuring, summarizing, and iterating at unprecedented speed and reduced cost—the bottleneck has shifted from sheer output to the quality and strategic value of the content itself. This fundamental change necessitates a renewed focus on the uniquely human capacity for insightful decision-making, positioning "taste" not as mere preference, but as a critical driver of content efficacy in an AI-saturated world.
The genesis of this discussion can be traced to a recent LinkedIn post by Ethan Smith, who posed the question, "Is AI replacing human taste?" While acknowledging AI’s impressive execution capabilities, Lieu posits that the industry has not yet reached a point where AI can fully replicate the nuanced judgment that defines truly impactful content. The democratization of content creation through AI means that the barrier to entry for producing material has significantly lowered. "You can create as much content as you want now. That part is solved," Lieu observes. This shift compels a re-evaluation of what truly differentiates content in a market flooded with AI-generated material. The central question then becomes: in an era where anyone can produce content, what makes anything stand out?
The Shifting Constraint: From Production to Judgment
The increasing sophistication of AI in content generation has led to outputs that are often cleaner, faster, and more polished than ever before. However, this uniformity can also lead to a sense of sameness, making it difficult for individual pieces to capture attention or resonate deeply with audiences. This is precisely where "taste"—defined as informed judgment—becomes paramount. Taste guides decisions about what is genuinely worth saying, what ideas warrant deeper exploration, and how far to push a concept. It manifests in choices regarding the angle of a piece, the selective omission of information, and the crucial determination of whether content offers genuine novelty or merely reiterates existing knowledge.
Lieu emphasizes that much content fails not due to factual inaccuracy, but because it lacks additive value. Such content, while technically competent, is ultimately forgettable. The amplification effect of AI, when fed with average thinking, results in a scaled version of "garbage in, garbage out." This underscores the importance of the initial strategic direction and the quality of the human input that guides AI’s generative power.
Taste as Compression: The Art of Refining Ideas
Taste, in this context, is often misconstrued as a matter of personal style or preference. Instead, Lieu frames it as a form of intellectual compression—the ability to distill complex ideas into clear, impactful messages without sacrificing meaning. This refinement process is rooted in experience and a deep understanding of patterns, developed through exposure to a wide spectrum of information and expression. AI can generate numerous variations of a concept, but it lacks the inherent contextual understanding to discern which variation is most effective or truly valuable. The capacity to select the optimal output from multiple possibilities, or to recognize when none are suitable, remains a distinctly human skill. As the volume of AI-generated content escalates, this gap between quantity and quality becomes increasingly apparent, highlighting the critical role of human selection.
Preserving Taste in the Age of Scalability
Given that AI has effectively commoditized content production, the primary challenge for marketers and creators has become the preservation of human judgment and strategic direction within scaled operations. This requires a deliberate structuring of decision-making processes, ensuring that human insight remains at the forefront.
1. Locking the Angle Before Generation
A common pitfall in AI-driven content creation is the premature engagement with prompts or briefs that are too vague. In the B2B sector, this often translates to directives like "Write a blog about AI in marketing" or "Create content on pipeline generation." Such broad instructions inevitably lead to generic outputs. Lieu advocates for a more disciplined approach: defining a singular, clear point of view in a concise, one-sentence statement before any AI generation commences. For instance, instead of a general prompt, a more effective approach would be: "This content will argue that B2B marketers must prioritize AI-driven personalization over generic content amplification to achieve measurable ROI." Only after this core strategic direction is solidified should AI be employed to expand upon it. This methodology embeds human taste and strategic intent at the foundational stage of content development, rather than relegating it to a post-production edit.
2. AI as a Draft Engine, Not a Strategy Layer
A significant risk emerges when AI begins to influence upstream strategic decisions, such as messaging, positioning, or thematic content development. This integration can lead to a gradual erosion of unique brand voice and strategic differentiation. The more effective operational model positions AI as a sophisticated drafting tool, a powerful assistant for execution rather than a primary architect of strategy. The process should ideally flow as follows: Human strategy informs AI prompts, AI generates drafts based on human strategy, and humans then refine and edit these drafts. When AI dictates the strategic direction, it tends to gravitate towards statistically common framings, resulting in outputs that are safe but uninspired.
3. Implementing a "No Publish" Filter
A practical mechanism for safeguarding content quality and taste involves establishing a robust "no publish" filter within content workflows. Before any piece of content is released, it should undergo rigorous checks to ensure it meets specific criteria. These checks might include:
- Does it offer unique insights or perspectives?
- Does it directly address a specific audience need or pain point?
- Does it align with our core strategic objectives and brand voice?
If a piece of content fails to satisfy any of these critical questions, it should not be published, irrespective of its grammatical correctness or polished presentation. While many content systems focus on whether content is "good enough," the true test of taste lies in determining whether it "deserves to exist" and contribute to the broader discourse.
4. Transforming Expertise into Reusable "Thinking Inputs"
The conventional approach to scaling content often involves systematizing outputs through templates, workflows, and prompt engineering. A more impactful strategy, however, focuses on capturing and leveraging "inputs"—the underlying intellectual capital that drives original thought. This entails meticulously documenting how subject matter experts within an organization think. This includes:
- Articulating core hypotheses and underlying assumptions.
- Mapping out causal relationships and logical frameworks.
- Defining key terminology and conceptual boundaries.
These documented thought processes serve as the raw material that protects and propagates taste when scaled through AI. Without this foundational layer of documented expertise, AI risks amplifying existing weaknesses or generic knowledge within a system, rather than injecting genuine insight and originality.
The Real Shift: From Scarcity to Substance
The advent of AI in content creation signifies more than just an evolution in production methods; it represents a fundamental redefinition of what makes content valuable. When the scarcity of production is no longer a limiting factor, the differentiator shifts from volume to substance. The critical question is no longer about how much content can be produced, but what content is produced and why it warrants its existence. This paradigm shift places a premium on human judgment, discernment, and the ability to curate and shape ideas with purpose and clarity. Ultimately, the future of impactful content creation lies in the intelligent integration of AI’s generative power with the irreplaceable qualities of human taste and strategic insight.
For B2B brands seeking to navigate this evolving landscape and create content that truly resonates, understanding and implementing these principles of human-led discernment is no longer optional, but essential for achieving tangible marketing outcomes.
