From AI-Ready to Human-Ready: HR Trends and Critical Capabilities for an AI-Driven World

AI is reshaping how organizations work, but the more strategic question is how leaders and talent systems should evolve alongside it. That was the central theme of “Reinventing Leadership Development: HR Trends and Critical Capabilities for an AI-Driven World,” held on August 19, 2026 at New World Saigon Hotel and jointly organized by Hogan Assessments, PACE Institute of Management, and Talent Assessments Vietnam, with TopCV as Companion Partner.

The seminar brought together Allison Howell, Global CEO of Hogan Assessments, on her first visit to Vietnam; Krista Pederson, Managing Director, Asia Pacific, Hogan Assessments; and Tuan Nguyen, Senior Solution Expert, Talent Assessments Vietnam, with Tu Le, Senior Solution Expert, Talent Assessments Vietnam, moderating the discussion.

Allison Howell: Why Leadership Matters More as Trust Becomes Harder to Earn

AI Is Accelerating a Shift That Was Already Underway

Opening the seminar, Allison Howell framed AI as part of a broader transformation in the world of work. As organizations move from the familiar language of VUCA toward BANI - brittle, anxious, nonlinear, and incomprehensible - uncertainty is becoming less of an exception and more of a constant operating condition.

AI is accelerating that shift. Roles are changing, decisions are becoming more technology-enabled, and assumptions about where human value comes from are being challenged at speed.

For leaders, the task is therefore bigger than helping employees adopt new tools. It is about giving people clarity and direction when the future of work itself feels less predictable.

The Employee-Employer Relationship Is Being Rewritten

Allison also highlighted how expectations of work have changed. Employees increasingly look beyond compensation to factors such as purpose, growth, recognition, and the quality of their relationship with the organization.

At the same time, businesses are under pressure to improve productivity, manage costs, and move faster. AI enters this environment at a sensitive moment. Employees are being asked to adapt to new ways of working while also questioning what those changes mean for their own relevance, development, and future within the organization.

That makes leadership a critical part of any transformation. Technology may change how work gets done, but leaders shape how people experience that change.

Trust Is Becoming an Operating Requirement

For Allison, one of the most important issues beneath the AI conversation is TRUST.

Organizations may have the right technology and a compelling transformation agenda, but progress becomes difficult when employees do not trust how decisions are made, how technology will be used, or whether leaders will remain accountable for the outcomes.

Trust is built through what employees experience every day: how change is communicated, how difficult decisions are handled, whether concerns are heard, and whether leaders act consistently with what they say. In an environment where uncertainty is rising, trust becomes far more than a cultural aspiration. It becomes part of the organization’s ability to execute.

Leadership Emergence Is Not the Same as Leadership Effectiveness

Allison then brought the conversation to a question with direct implications for talent and succession decisions: Are organizations promoting the people who look like leaders, or the people who can actually lead effectively?

Hogan distinguishes between Leadership Emergence - the ability to stand out, gain influence, and be recognized as leadership material - and Leadership Effectiveness, which is reflected in a leader’s ability to build a strong team and enable others to succeed.

The two do not always go together.

People who are highly visible may be easier to identify as future leaders. Yet some of the most effective leaders create value in less obvious ways - by building trust, strengthening team performance, and helping others grow.

For organizations, that distinction matters. The qualities that help someone get promoted are not necessarily the same qualities that help a team perform. The leadership question, then, becomes less about who appears ready for the next role and more about who can create the conditions for others to perform, develop, and succeed.

Krista Pederson: As Technology Gets Smarter, Leadership Must Become More Human

Five Human Capabilities That Matter More in the AI Era

Building on Allison Howell’s perspective, Krista Pederson, Managing Director, Asia Pacific, Hogan Assessments, shifted the discussion from the changing world of work to the capabilities leaders will need to navigate it.

The five capabilities she highlighted - communication, decision-making, leading others, integrity, and accountability - are not new. What is changing is the standard expected of them.

As AI becomes better at processing information and supporting execution, leadership value increasingly comes from what technology cannot easily replicate: reading context, exercising judgment, building relationships, setting standards, and taking responsibility for outcomes.

Communication: Efficiency Is Not the Same as Connection

AI can help leaders communicate faster and more clearly. But effective leadership communication still depends on listening, reading the room, and knowing when people need a real conversation rather than another perfectly written message.

Krista illustrated this through examples of roles that may look easy to automate when viewed purely as a set of tasks. Once human interaction is removed, however, organizations may also lose trust, reassurance, and connection - values that rarely appear in an efficiency calculation.

For leaders, the question is therefore not simply whether communication can be automated, but what may be lost when human interaction disappears from the experience.

Decision-Making: More Information Does Not Guarantee Better Judgment

AI can surface data, identify patterns, and generate options at remarkable speed. Krista’s point was that leaders still need to know when to question what they are being shown.

That becomes especially important when decisions affect careers, promotions, succession, or the allocation of opportunity. A recommendation may look convincing and still miss important context. AI can strengthen decision-making. It cannot take ownership of the judgment behind the decision.

Leading Others: Development Still Depends on Human Leadership

AI is becoming increasingly useful in identifying workforce signals and tailoring development recommendations. Yet identifying what someone may need is very different from helping that person grow.

Krista pointed to a more fundamental leadership responsibility: giving meaningful feedback, creating development opportunities, coaching people through difficult moments, and building the trust required for learning to happen.

As employees gain easier access to AI-based guidance, the challenge for managers becomes more immediate: what value are people receiving from their leaders that they cannot get from a tool?

Integrity and Accountability: Technology Does Not Set the Standard

As AI becomes embedded in everyday work, organizations will face more grey areas around how it should be used, what should remain transparent, and who owns the consequences of AI-supported decisions.

For Krista, these are leadership questions.

Technology can operate within rules, but leaders still need to define the standards an organization is willing to uphold. And when AI contributes to a decision, responsibility cannot be outsourced to the system.

The more powerful the technology becomes, the more important it is that leaders remain clear about what they stand for and what they are prepared to be accountable for.

Strategic Self-Awareness: Leadership Development Starts With Understanding Your Impact

Krista then moved from leadership capabilities to a deeper question: should two leaders with the same development need to be developed in the same way?

Not necessarily.

A leader who communicates too little may need to become more visible and accessible. Another who dominates conversations may need to listen more and create space for others. The capability may be the same; the behavior that needs to change can be very different.

This is where Strategic Self-Awareness becomes important. It is the ability to understand your strengths and limitations while also recognizing how other people actually experience your behavior.

For leadership development, the goal is not to turn everyone into the same kind of leader. It is to help people understand when their natural tendencies create value, and when those same tendencies need to be managed more deliberately.

In an AI-driven environment, that awareness becomes increasingly consequential. Faster decisions and greater reach mean that a leader’s behavioral patterns can influence more people, more quickly.

Bright Side, Dark Side and Inside: Looking Beyond What a Leader Shows on the Surface

To make that understanding more practical, Krista introduced Hogan’s three perspectives on personality: Bright Side, Dark Side, and Inside.

• Bright Side, measured through the HPI - Hogan Personality Inventory, helps organizations understand how someone typically behaves when they are at their best.
• Dark Side, measured through the HDS - Hogan Development Survey, focuses on behavioral risks that may emerge under pressure or when self-management starts to weaken.
• Inside, measured through the MVPI - Motives, Values, Preferences Inventory, provides insight into the motives and values that shape a person’s priorities and the kind of environment they are likely to create around them.

Krista emphasized that these dimensions are not labels of “good” or “bad.” The same characteristic can be an advantage in one situation and a risk in another.

For organizations making leadership and succession decisions, that distinction matters. A strong track record or impressive interview can reveal a great deal, but it may not show how someone is likely to respond under pressure, what drives their decisions, or how their behavior may shape the people around them over time.

That is where personality science adds another layer to leadership development: helping organizations move beyond what is immediately visible and understand the patterns that may matter most when the stakes get higher.

Tuan Nguyen: Building the Right Workforce for the Next Stage of Growth

Bringing the discussion closer to the Vietnamese market, Tuan Nguyen, Senior Solution Expert, Talent Assessments Vietnam, focused on a practical question facing many organizations today: Do we have the right people for where the business is going next?

His message was clear. Talent strategy should not begin with technology. It should begin with understanding the business direction, the capabilities required to deliver it, and whether the current workforce is truly aligned with what comes next.

Vietnam’s Talent Market: Staying Does Not Always Mean Staying Committed

The workforce data shared by Tuan pointed to an important tension in Vietnam. Employees may feel relatively positive about life and continue performing their roles, while still remaining open to new opportunities.

For employers, that changes the nature of the retention challenge. Keeping people is no longer simply about preventing dissatisfaction. Organizations need to create stronger reasons for people to stay: meaningful work, recognition, growth opportunities, greater ownership, and better leadership experiences.

At the same time, hiring pressure remains high and finding the right talent continues to be difficult. The gap between needing more people and finding the right people makes talent competition a strategic leadership issue, not merely a recruitment issue.

Right People, Right Job, Right Position

From there, Tuan introduced a simple but important principle: right people, right job, right position.

Past performance, experience, and CVs can tell organizations a great deal. But they do not always reveal how someone may respond to greater pressure, what motivates their decisions, or how their behavior could change when the scope of responsibility expands.

This is where a deeper understanding of personality becomes valuable.

The key question for organizations is therefore not simply whether someone is strong in their current role. It is whether their strengths, motivations, and behavioral patterns remain aligned with what the next role - and the next stage of the business - will require.

People First: Start With the Business and the People, Then Decide Where AI Fits

One of the central ideas in Tuan’s presentation was People First. This does not mean treating technology as secondary. It means getting the sequence right. Organizations need to start with the business challenge, define the capabilities required, and identify the people who will turn strategy into results. Once those questions are clear, AI can be positioned where it adds the most value.

Tuan also introduced the Assess → Integrate → Develop → Apply → Measure process as a way to connect people's data with business decisions. The value lies less in following a rigid sequence and more in maintaining a clear line from insight to action: assessment should inform decisions, development should lead to observable behavioral change, and talent initiatives should ultimately connect back to business outcomes.

Where Should AI Sit in Talent Strategy?

Toward the end of his presentation, Tuan highlighted several areas where AI can strengthen talent management, including connecting workforce data, supporting more personalized development, identifying potential, and informing succession decisions.

The more important question, however, was where to draw the line between technology-enabled insight and human judgment.

AI can help organizations see more signals and process them faster. Yet talent decisions still require context. Someone who has never been given a major opportunity should not automatically be interpreted as lacking potential. A pattern in the data may also mean something very different across roles, markets, or business environments.

For decisions that directly affect people, speed and processing power are therefore not enough. The real question is: Where should AI enhance the quality of the decision, and where must human judgment and accountability remain firmly in place?

Q&A: Turning Big Questions Into Better Talent Decisions

Moderated by Tu Le, the Q&A brought the three speakers back together for a direct discussion with business leaders and HR professionals in the room. Rather than looking for a universal formula for AI or leadership development, the conversation focused on practical choices organizations are already facing.

Should AI Adoption Start With Technology or With the Business Problem?

When asked about the relationship between AI and leadership, Allison Howell cautioned against treating AI as one broad, undefined solution. The starting point should be the outcome the organization is trying to achieve. Only then can leaders decide where AI can genuinely contribute.

Krista Pederson reinforced that view, noting that technology initiatives often struggle when they are introduced without a clear strategic purpose or the leadership discipline required to make them work. The lesson was straightforward: AI should follow strategy, not replace it.

How Can Organizations See the Dark Side Before Making a Leadership Bet?

Another question focused on a familiar challenge in senior hiring: strong candidates often arrive with impressive credentials, polished communication, and a convincing track record. How can organizations identify behavioral risks that may not be immediately visible?

Krista pointed to the role of the HDS - Hogan Development Survey in providing insight into patterns that are more likely to emerge under pressure. For leadership decisions, what is hardest to see at the beginning can sometimes become the most consequential later.

How Broadly Should Hogan Assessments Be Used?

When asked whether organizations should assess everyone or begin with a smaller group, Krista recommended starting where the business need is clearest - for example, leadership, succession, or a strategically important talent population.

The goal is to build the capability to use the data well before expanding the scope. The value of assessment is not measured by how many people complete it. Its value is reflected in whether the organization makes better talent decisions as a result.

If People Come First, Where Should Organizations Begin?

A question from HEINEKEN Vietnam brought the discussion back to the central theme of People First.

Tuan Nguyen’s response returned to business direction: organizations need clarity on where they are going, how the business must operate, and which people will be required to make that strategy work. Technology becomes meaningful once those fundamentals are clear.

The broader takeaway from the Q&A was that organizations are not short of technology choices. The harder challenge is knowing which problem they are solving and whether they have the leadership quality to make the right decisions around it.

From AI-Ready to Human-Ready: The Next Competitive Advantage Is Better People Decisions

Across the seminar, AI was clearly a major force reshaping the future of work. Yet the conversation consistently returned to one issue: the quality of leadership and talent decisions.

Technology can help organizations move faster, process more information, and scale execution. But decisions about who to develop, who to promote, who is ready for greater responsibility, and what kind of leadership culture to build still require human judgment and accountability.

Organizations also need to become Human-Ready: clear about the people their strategy requires, better able to identify potential, more aware of behavioral risks, and more deliberate about developing leaders who can create trust and performance in uncertain conditions.

This is where personality science can add meaningful value. Through Bright Side, Dark Side, and Inside, Hogan Assessments gives organizations a deeper view of how people are likely to behave, what may derail them under pressure, and what motivates the way they lead.

For businesses building succession pipelines, identifying leadership potential, or strengthening leadership capability for the next stage of growth, Talent Assessments Vietnam helps turn personality data into more informed talent decisions. As AI becomes more accessible, competitive advantage will be harder to sustain through technology alone. The stronger advantage will come from how deeply organizations understand their people - and how well they turn that understanding into better decisions.