Organizational Strategy in the AI Era 2: Five Roles for Employees and Organizational Transformation

What is happening on the front lines in the AI era?

Hello, this is Hirose.

In the previous article, "Organizational Strategy in the AI Era 1: Five Roles for Leaders and Organizational Transformation", I discussed the necessity for leaders in the AI era to take on five new roles, such as "Knowledge Explorer" and "Organizational Architect," to transform organizational structure and culture. I believe many senior leaders have come to understand that the failure of value creation through AI lies not in the technology itself, but in the "failure of organizational and leadership transformation."

However, transformation cannot be achieved by a leader's declaration alone.

On the front lines, there is currently a swirl of fear regarding AI, such as "Will my job be taken by AI?", and confusion, such as "How should I acquire new skills?". Even if an organization makes significant investments and a leader indicates the direction of transformation, it is each one of us, the employees, who actually utilizes AI and reconstructs business processes.

To transform AI into a source of strategic advantage for the organization, employees must move away from treating AI as a "threat" or "merely a tool," and instead welcome it as a "flexible teammate," establishing the behavioral patterns and mindsets necessary to work together.

In this Note, as a counterpart to the framework in the first part, I will focus on the "five new roles that each employee (member) must fulfill" to promote organizational reform in the AI era from the front lines.

1. What are the five new roles for employees?

2. Why are these roles essential for collaboration and growth with AI?

3. How can they be practiced in daily work to transform careers?

The success of organizational reform in the AI era relies on the two wheels of leader strategy and the corresponding employee actions. I hope this Note serves as a guide for employees, who are the protagonists on the front lines, to embrace AI and redefine their work and careers.

1. Five New Roles for Employees

In the first part, we confirmed the importance of leaders taking on five roles, such as "Organizational Architect" and "Talent Developer."

However, it is each individual employee on the front lines who drives that framework of transformation. The role of an employee is not limited to being a "user" who simply uses AI as a tool. They need to take on "five new roles" to accelerate organizational transformation and evolve their own careers to match the AI era.

These five roles require employees to move away from the traditional role of "accurately completing assigned tasks" and instead engage in more proactive behaviors of "autonomously creating value and connecting the organization's knowledge."

1.1 Practical Partner

Conduct personal experiments to incorporate AI into daily work without fear, and develop and propose prototypes for new ways of working on the front lines, treating AI as a colleague (partner).

1.2 Knowledge Appraiser

Strictly judge the authenticity and quality of information generated by AI. Identify "work-slop" (content that looks sophisticated but lacks substance) and complete the final output using human experiential knowledge and ethical judgment.

1.3 Constructive Validator

Leverage psychological safety to intentionally raise objections based on critical thinking regarding AI conclusions or team consensus, thereby enhancing the quality of decision-making.

1.4 Know-how Disseminator

Actively share personal AI utilization know-how and success/failure stories across teams and departments to promote the diffusion of tacit knowledge and reskilling throughout the organization.

1.5 Autonomous Growth Designer

Without waiting for instructions from the company, define the new skills required in the AI era, and design and execute continuous learning and personal career paths.

1.6 Relationship with 'Leader's Role (Part 1)'

1. Organizational Architect (Leader's Role)

   • Practical Partner (Employee's Role)
     Within the framework designed by the leader, employees practice AI utilization daily, developing and providing feedback on field prototypes for new ways of working.

2. Model of Practice

   • Knowledge Appraiser
     Based on the practical standards (discernment) demonstrated by the leader, employees strictly appraise AI output using ethics and experiential knowledge, ensuring responsibility for the quality of the final output.

3. Commander of Collaboration

   • Constructive Validator
     By the leader ensuring psychological safety, employees actively and constructively pose 'questions' to AI proposals and existing conclusions, improving the quality of high-stakes decision-making.

4. Talent Cultivator

   • Know-how Propagator
     In addition to coaching from leaders, employees actively share tacit knowledge of successes and failures with each other, building an autonomous mutual learning loop throughout the organization.

   • Autonomous Growth Designer
     While receiving guidance and development from leaders, employees proactively design and execute their own career and reskilling plans with an eye toward their market value in the AI era.

In the following chapters, we will categorize these five roles into three areas: 'Collaboration and Practice,' 'Team and Growth,' and 'Career Transformation,' and explain specifically how they should be implemented in the field.

2. Collaboration and Practice

Organizational transformation in the AI era begins at the desk of every individual employee. The two roles covered in this chapter serve as the foundation for employees to incorporate AI collaboration into their daily work and to manage the 'quality' and 'responsibility' of the information that results.

Role 1: Practical Partner

For many employees, AI is a 'scary presence' and a 'risk' that could damage the company if used incorrectly. Overcoming this AI fear and turning AI into a 'practical partner' that enhances work productivity is the primary role of the employee.

'Daily experimentation' overcomes fear
Collaboration with AI cannot be mastered through classroom learning or training alone. While the first part of this series suggested that leaders should use AI daily as role models, employees also need to consciously repeat personal experiments in their daily work, such as using AI for 'prototyping' or 'streamlining information gathering'.

Even if a leader sets the framework for transformation as an 'organizational architect,' the most effective ways to use AI within that framework emerge from the small trial-and-error efforts of 'practical partners'—the employees on the front lines.

• Conscious 'liberation from routine tasks'
  Identify routine tasks that can be left to AI and delegate them to AI agents. Allocate the freed-up time to creative tasks that only humans can perform and to customer engagement.

• Support through psychological safety
  In an environment where psychological safety is ensured, sharing failures in AI collaboration (such as prompts not working or unexpected results) without fear accelerates the building of on-site know-how and the learning of other members.

Role 2: Knowledge Appraiser

Although information generated by AI looks sophisticated, it often contains 'work-slop'—that is, superficial content without substance. In the AI era, employees play a crucial role not as 'information generators' but as 'knowledge appraisers' who manage the quality of AI output.

'Three appraisal points' for AI output
What is required of a knowledge appraiser is not to accept AI-generated conclusions at face value, but to rigorously verify them from the following three perspectives and take responsibility for the quality of the final output.

1. Verification of authenticity (fact-checking)
   Always keep the risk of AI hallucinations in mind, and ensure that important data and sources are verified under human responsibility.

2. Adding ethical and social judgment
   AI cannot understand ethics or context. Add human insight, empathy, and ethical considerations to the information, and elevate it to align with the organization's values.

3. Integration of experiential knowledge
   Integrate the employee's own on-site experiential and tacit knowledge with the analysis results produced by AI, refining them into more practical and actionable solutions.

In the first part, we aimed for leaders to cultivate an aesthetic eye for identifying "work-slop" as role models, but the "Knowledge Appraiser," as a frontline employee, is the one responsible for the front lines of that quality control.

In collaboration with AI, clearly recognizing the division of labor where AI creates information and humans take responsibility, and possessing professionalism as a Knowledge Appraiser, establishes the new value of employees in the AI era.

3. Teams and Growth

The competitive advantage of teams in the AI era is not determined by the sum of individual productivity, but by the learning speed of the entire team and the quality of decision-making through collaboration. Employees play a role in promoting the "circulation of knowledge" within the team through their own actions.

Role 3: Constructive Validator

In human-AI collaboration, accepting AI-generated conclusions uncritically is the greatest risk to an organization. The employee's role is not to oppose emotionally as an "AI skeptic," but to encourage critical thinking as a "Constructive Validator" to enhance the quality of decision-making for the team.

Asking "questions" within psychological safety
In the first part, it was stated that leaders, as "collaboration conductors," need to ensure psychological safety and design the use of AI like a "devil's advocate." Frontline employees, as "Constructive Validators," make the most of this environment and enhance organizational intelligence through the following actions.

• Execution of "dissenting opinions"
  Intentionally pose constructive questions such as "What if the AI's result is wrong?" or "Does this result conflict with customer ethics?" regarding conclusions recommended by AI or consensus forming within the team. This is an action made possible precisely because the leader demonstrates a stance of "humans taking final responsibility" as a "collaboration conductor."

• Digging into the "why"
  Dig into the rationale (logic) behind AI predictions and analyses, and make efforts to prevent them from becoming a black box. Through this deep dive, the team can discover hidden assumptions and biases, reducing decision-making risks.

This role becomes a lifeline for ensuring that human and AI inputs function in a balanced manner when the team makes high-stakes (high-risk) decisions.

Role 4: Know-how Evangelist

In the AI era, organizational learning and reskilling cannot keep up with just the central training department. Employees are required to play the role of spreading know-how on AI success and failure born on the front lines rapidly and widely throughout the organization. This is the "Know-how Evangelist."

Spreading the "tacit knowledge" of success and failure within the organization
In the first part, it was stated that leaders transform inspection culture into coaching culture as coaches. "Know-how Evangelists" accelerate organizational learning speed through the following actions within the coaching and learning framework established by the leader.

• Open information sharing
  In the "new way of working" using AI, actively share frontline wisdom (tacit knowledge) about "what worked and what didn't" across departmental and team boundaries.

• Building mutual learning loops
  Instead of just waiting for leader coaching, build autonomous mutual learning loops on the front lines where colleagues teach each other specific ways to use AI tools and prompt ingenuity, aiming to raise the level of AI literacy across the entire organization.

AI usage know-how rapidly becomes obsolete if it stays in one place. "Know-how Evangelists" are the linchpin of organizational learning, boosting the confidence of all employees that they can "master AI" by spreading frontline success stories as "social proof" within the organization.

4. Career Transformation

The wave of automation by AI is shaking not only the job content of employees but also the very nature of careers. In a future where AI takes on menial tasks, for employees to maintain market value and continue growing, a stance of autonomously designing their own growth, independent of organizational frameworks, is essential.

Role 5: Autonomous Growth Designer

The skill set required in the AI era is not just about "the technology to master AI." Rather, because AI increases the value of human collaboration and communication, non-routine human skills will become even more important. The employee's role is to act as an "Independent Growth Designer," strategically redesigning their own career.

Defining "AI-Complementary Skills" Yourself
In the first part, I stated that leaders support reskilling for new ways of working as coaches. However, employees should not just wait for training; they need to define skills that increase their own market value from the following perspectives, and plan and execute their own learning.

1. Focused Investment in New Human Skills
   With AI handling data analysis and forecasting, humans are increasingly required to possess skills such as "collaboration," "influence," and "empathy." These are the factors that make a decisive difference when discussing AI conclusions as a team (Constructive Validator) and collaborating with other departments to create new value (Know-how Disseminator).

2. Taking Initiative in Learning
   Beyond the OJT and training provided by the company, utilize AI tools themselves as "personal trainers" to autonomously learn the necessary knowledge and skills. This means that daily AI usage as a "Practical Partner" directly translates into "self-learning."

Continuing to Design Your Career
In the AI era, the career model of "one skill for life" has collapsed. An "Independent Growth Designer" must continuously audit their own skill set in line with the speed at which AI evolves and constantly ask themselves the following questions.

• If AI fully automates this task, where should my value shift?

• Which human skills should I combine with my current skills to generate higher market value?

By employees proactively designing their own growth, the efforts of leaders who are "Talent Developers" of the organization are maximized, and the entire organization transforms into a "learning organization that evolves with AI."

Careers in the AI era are not given by the company, but are carved out through the employee's own independent design and practice.

5. Summary: Recommendations for Employee-Led Organizational Reform

In the "first part" of this Note, I discussed the importance of leaders creating frameworks as "Organizational Designers," and in the "second part," I discussed the necessity for employees to act as "Practical Partners" within those frameworks.

Organizational reform in the AI era only succeeds through "two-way transformation," where the leader's strategic vision and the frontline employees' proactive actions mesh together. The "five new roles" that you, the employees, take on are behavioral norms for powerfully promoting this two-way transformation from the ground up.

1. Collaboration and Practice

   • Role 1: Practical Partner

   • Role 2: Knowledge Appraiser

2. Teams and Growth

   • Role 3: Constructive Validator

   • Role 4: Know-how Evangelist

3. Career Transformation

   • Role 5: Autonomous Growth Designer

The fear of AI that many employees harbor stems from the anxiety that "my job might be taken away." However, the truth is the opposite. AI is not a replacement that will take your job, but a "teammate" that frees up your time and capabilities for high-value areas that only humans can handle.

Using this freed-up time to fulfill your responsibility for output as a Knowledge Appraiser to improve the quality of discussion as a Constructive Validator and to build your own career as an Autonomous Growth Designer. This is the greatest organizational contribution and the best self-investment that employees can make in the AI era.

An environment where leaders ensure psychological safety and provide coaching is the soil for employees to experiment without fear of failure and spread know-how. Whether or not this environment is utilized depends on the autonomous actions of each individual employee.

The ultimate winners of organizational reform in the AI era are not the "organizations that introduced technology," but the "organizations where each employee treats AI as a partner, constantly redefines themselves, and continues to evolve."

By consciously practicing these five new roles, all employees will accelerate organizational transformation and be able to build an unshakable competitive advantage in the AI era.

Organizational strategy in the AI era begins with your actions as a frontline employee.

I hope this Note is helpful to you.
Thank you for reading until the end today.

Reference Information