AI Grows Human Value Rises

1. The gut

Everyday language is more precise than it knows: gut feeling really doesn’t sit in the head. It is the result of accumulated experience that escapes conscious articulation. People make judgments before they know why they make them. They recognize that a campaign is off, not because of a checklist, but because of an instinct made up of a thousand observed moments that were never systematically recorded.

Language models have no gut feeling. They have probability distributions. That’s not a deficit, more a different way of functioning. But it does mean that what an experienced consultant senses in a few moments can’t be reliably reconstructed algorithmically. In the interviews for the thesis, clients describe exactly this quality as one of the central values of external agency work: the ability to sense developments that aren’t yet reflected in data.

2. The spine

Attitude is not an opinion. It is what remains when opinions come under pressure. An agency with attitude doesn’t say what the client wants to hear. It says what it believes is right, what it thinks the client should hear, and sticks to it even when things get uncomfortable.

This trait is especially important in the current market. AI systems structurally tend toward agreement: they are trained to maximize human acceptance, not to optimize for truth. Fanous (2025) documents that prominent language models show sycophantic behavior in almost 60 percent of the cases examined. What looks like helpfulness algorithmically is a weakness in strategic processes: a system that always agrees is no help.

Attitude, the willingness to disagree, to hand back briefings, to take uncomfortable positions, is according to Barney (1991) a resource that is valuable, rare and hard to imitate. It grows through experience and can hardly be trained.

3. The fingertips

Sensitivity is the ability to recognize the right moment. What fits right now and what doesn’t. Which message works in this cultural climate? Which tone is appropriate for this target group in this situation? It is the opposite of blind reach: the more precise, the more effective. The more broadly scaled, the less accurate.

In the interviews, clients name this instinct as one of the core competencies they expect from external agencies and can’t build up internally. One person puts it directly: sensitivity to social change means sensing trends before they reach the mainstream. Another adds: the political and cultural assessment of what suits a company right now and what doesn’t is one of the services AI systems structurally lack.

Sensitivity comes from observation, from cultural participation, from what people experience when they aren’t working, while out for a walk, traveling, reading, showering or having dinner. It can’t be formalized and therefore can’t be automated.

4. The eyes

Seeing is not the same as perceiving. The eye takes in what lies before it. Perception decides what of it is relevant. That is a function of perspective, not resolution. Internal teams see a lot. But they see it from the same angle, with the same assumptions, filtered through the same history.

Organizational blindness is not negligence. It is the inevitable result of closeness. The outside perspective, the external view not colored by company history and internal logic, is therefore not meant as an add-on. It is structurally necessary. What internal units can’t do, however well set up they are, is see what they don’t see. That’s not criticism. It’s anatomy.

5. The memory

A doctor who has treated patients for twenty years brings more than pure expertise. She has seen patterns that can’t be found in textbooks. She has experienced exceptions that make the rule understandable in the first place. This experiential knowledge, the individual linking of experiences, filters and conclusions, can’t be fully documented, at least not in a way that someone else could simply take over.

The same applies to what the thesis describes as cross-industry experiential knowledge, so-called left-right knowledge: the ability to recognize patterns from working with different companies, markets and problems that remain structurally hidden from any single client. This knowledge sits in people, not in systems. It grows through encounters and it leaves the agency when the people go. This explains why clients identify high staff turnover as one of the central quality problems in working with agencies.

Findings

In a market that increasingly produces what can be produced, what can’t be produced becomes the scarce resource. Gut feeling. Attitude. Sensitivity. Perspective. Experiential knowledge. These qualities may seem nostalgic, but in truth they are becoming ever more relevant. What becomes rare gets a price. What can’t be scaled can’t be replaced.

Agencies that understand this are beginning to cultivate what AI is not: human enough to make the difference.

This is not a question of technology or processes. It is a question of attitude. And it sits in the spine. Not in the LLM.