If You Postpone Defining Your Capabilities Now, You'll Be Left Behind in the AI Era in 3 Months—What Samminam TV Shows About the Urgency of FDE Talent

The ability to write good prompts, the ability to learn coding quickly, the skill to handle multiple AI tools. All of this will become commonplace in 3 months. Now that generative AI is open to everyone, competitiveness cannot come from tool usage alone. Organizations are already looking for people who "see and define field problems first" rather than people who "use AI well."

This article is based on content organized by Kim Gap-yong and Shim Jae-woo, representatives of the Three Kingdoms AI Talent Research Institute, through long-term research into the principles of digital transformation and organizational change. Samminam TV, which they launched, is not merely a history channel. It is a knowledge channel that redefines "what constitutes differentiated talent in the AI era" and finds answers in the successes and failures of the Three Kingdoms.

Your position 6 months and 12 months from now depends on what capabilities you are preparing for right now.

The ability to structure field problems is not simply asking "What's the problem?" This is the competence to simultaneously understand what signals you need to see in the field, how those signals connect to different parts of the organization, and which stakeholder goals they conflict with. This is precisely why Zhuge Liang in the Three Kingdoms "diagnosed" the weaknesses of Liu Bei's forces and designed a network of relationships under heaven through the strategy called "Longzhong Strategy."

Can you answer these questions right now?

* Can you articulate what problem your organization really needs to solve?
* Can you convince both executives and field employees of why that problem matters?
* Can you predict who will benefit and who will resist when AI tools solve that problem?

AI tools give you answers when you define the problem. But if you define the problem incorrectly, even sophisticated answers are useless. In 3 months, your job value will be determined by "how accurately you read field problems."

AI creates answers from data. However, field members don't move based on data. They act according to their experience, trust, and predictions. The fact that Cao Cao viewed talent as a "portfolio" meant that he connected people with different strengths under one objective. In today's language, this is called "relationship translation ability."

After 6 months, organizations will scrutinize not simply "AI adoption teams" but "translators between operations and technology." Which of the following describes your team?

* When executives say "increase sales by 20%," the team responds with AI model accuracy metrics
* When practitioners say "this data cannot be trusted," the team responds with file formats
* Like Ma Su, the team has "military strategy written on paper" but fails in the field

Teams that cannot bridge the gap between data and reality become increasingly isolated within their organizations. After 6 months, budgets are cut or staff are adjusted.

This was Zhuge Liang's greatest limitation. Zhuge Liang was an exceptional individual. He held strategy, diplomacy, administration, and logistics all in his hands. In modern terms, he was an FDE-type talent who understood field problems, applied technology, and took responsibility for results.

However, Shu Han had no "organizational system that worked without Zhuge Liang." Successors existed, but they were not organized to develop the same integrative problem-solving ability as Zhuge Liang. In 12 months, your team could face the same risk.

The questions you need to ask yourself right now:

* Have the judgment standards and know-how I created remained as explicit assets of the team?
* Can the team make decisions by the same criteria even when I'm absent?
* Are my successes and failures structured to become learning assets for the next person?

What organizations will demand in 12 months is not "your unique genius." That disappears when you leave. Organizations want "a system that makes your capabilities repeatable."

FDE stands for Forward Deployed Engineer, but as defined by the Three Kingdoms AI Talent Research Institute, FDE does not refer only to software engineers. FDE refers to all people who discover ambiguous field problems and create actual results by connecting technology, data, and people.

The 5-capability framework of FDE-type talent:

Problem Definition Ability — Accurately identifies important problems. Sees root causes rather than surface symptoms.

Field Penetration Ability — Discovers context and constraints beyond documents. Understands reality in the language of operations.

Relationship Translation Ability — Connects the different languages of operations, technology, and management. Adjusts competing interests.

Experimental Execution Ability — Rapidly validates with small MVPs. Proves value before large-scale adoption.

Learning Systemization Ability — Leaves successes and failures as reusable organizational assets. Designs learning for the next person.

Check right now how many of these 5 capabilities you have developed. Three months, six months, and twelve months pass faster than you think.

Zhuge Liang excelled at problem definition and strategy design but failed to leave behind an organized learning system. Cao Cao reduced individual dependency through talent portfolio composition. Lu Su translated opposing forces—Wu and Shu—into "the language of alliance." Deng Ai found "seemingly impossible paths" in the field. Sima Yi designed "long-term thinking" rather than quick victories.

The sequence of organizational change in the AI era:

From "Organizations searching for Zhuge Liang" — The stage of recruiting outstanding individual talent

To "Organizations developing Zhuge Liang" — The stage of systematically transmitting that talent's capabilities

To "Organizations that work without Zhuge Liang" — The stage of converting individual tacit knowledge into explicit systems

What stage is your organization at right now?

The Three Kingdoms AI Talent Research Institute started the Samminam TV YouTube channel for a simple but urgent reason: changing how you view figures from the Three Kingdoms changes how you view competencies in the AI era.

For example, Guan Yu is known as "a loyal and valiant talent." But from an FDE perspective, he is "a high-performer who endangered the entire organization." His knowledge and ability were excellent, but he did not accept field feedback and was not connected with other organizational members. This sealed the fate of Ma Su.

Awareness of field problems, connection of data and people, reusability of execution results. The talent that possesses all three of these simultaneously is the person organizations will demand in 12 months.

FAQ: FDE Capabilities You Should Develop Now

Q1: How can I develop "problem definition ability"?

A: Start with the habit of sensing field inconveniences. Rather than general diagnoses like "efficiency is low," track "why it's low, who suffers, and where variables increase." Looking at Cao Cao's talent portfolio composition or Zhuge Liang's Longzhong Strategy, both abandoned existing classification systems and created "new structures suited to goals and circumstances." Begin questioning whether existing methods are "correct answers" in your team or organization.

Q2: What's the most common failure point when adopting AI?

A: The case of Ma Su. Ma Su knew military strategy sufficiently. The theory was perfect. However, he did not go to the field to observe "actual terrain, troops, and enemy movements." Similarly, many teams create AI models with high accuracy but fail when implemented in the field. This is because they did not first understand what the business needs, what data they trust, and what process changes they can accept.

Q3: How do you survive in an organization after 12 months?

A: Make your capabilities "explicitly documented and teachable" right now. Document what data you look at when making judgments, in what exceptional situations you change criteria, and with whom collaboration is possible for execution. Repeat this within your team and design for the next person to develop mastery. This is where Shu Han failed after Zhuge Liang and where modern organizations repeatedly make mistakes.

The AI era is not an era of competing on the volume of knowledge. It is because AI provides knowledge faster and more accurately. Competitiveness lies in "what field problem you see first, how you connect it with people, data, and processes, and how you leave repeatable results."

Kim Gap-yong and Shim Jae-woo, representatives of the Three Kingdoms AI Talent Research Institute, are people who have directly faced these issues in organizational fields in Ganghwa-gun, Incheon. Samminam TV, which they created, is not simply historical commentary but a knowledge channel that makes you reconsider "how organizations and individuals must change in the AI era."

Re-diagnose your capabilities from an FDE perspective and design how to leave your knowledge and experience as explicit organizational assets starting now. Three months, six months, twelve months pass faster than you think. Stop postponing and start now.

For inquiries, contact 010-2397-5734 or jaiwshim@gmail.com.

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| Preparation Stage | Characteristics | Warning Signs | Considerations |
|-----------|------|---------|----------|
| Only Problem Definition Possible | Recognizes field problems but lacks connection with technology and data | Good ideas don't get executed, friction with technical teams | Must strengthen "relationship translation ability" between operations and technology |
| Fast Technology Adoption but Poor Field Adaptation | Handles AI and data tools well but operations don't accept them | Adopted systems are neglected or avoided | Must analyze user resistance, design gradual change |
| Results Achieved but Next Person Cannot Repeat | Solves problems and connects data but experience doesn't accumulate | Organization is paralyzed without you, high dependency | Must create explicit manuals, criteria, learning materials |
| FDE Organization Transformation Complete | Individual capabilities become organizational systems enabling sustainable growth | N/A | Must maintain continuous learning culture, design new challenges |

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