Taiwan’s corporate training models are shifting from static, top-down instruction to dynamic systems where employees and leaders adapt through upskilling, continuous learning, and AI-driven transformation.
Structural and technological forces are reshaping Taiwan’s workforce. Demographic pressures — including a declining birthrate and rapidly aging population — mean fewer young people are entering the labor pool, pushing businesses to rethink how they build internal capabilities.
At the same time, companies face the twin challenges of adapting to digital transformation and rapid AI integration. Many of Taiwan’s small and medium-sized enterprises, though profitable, still struggle to move beyond incremental adoption of digital tools.
“Some firms equate digitalization with transformation, adopting tools to streamline daily operations without fundamentally rethinking their business models,” says Cindy Chen, senior vice president of Adecco East Asia and head of permanent placement, APAC. That distinction often determines whether digital tools serve as stopgaps or catalysts for long-term competitiveness, she adds.
Companies that treat AI as more than a cost-saving device — instead using it to expand capacity, improve decision-making, and reshape roles — are already outpacing competitors.
The old reliance on outside hiring is giving way to investments in upskilling and reskilling, as companies recognize the value of developing skills within existing ranks. Merck, an international science and technology company with a strong presence in Taiwan, emphasizes that internal development both leverages employees’ institutional knowledge and strengthens retention.
“Encouraging internal upskill and mobility also creates a culture where continuous learning and career development are prioritized,” says Cecilia Chou, head of country HR at Merck Taiwan in an email response to Taiwan Business TOPICS. “This environment not only attracts talent but also motivates employees to pursue diverse career paths within the organization.”
Advisory and HR service providers such as Adecco, one of the world’s largest workforce solutions companies, are supporting these efforts. Adecco advises organizations on whether to “buy” talent externally or “build” it from within.
“Uncertainty has become the defining trend in today’s business environment, and CEOs can rarely plan five or ten years ahead with confidence,” says Chen. Companies that prioritize skills mapping, reskilling, and clear career pathways stand a better chance of retaining employees who might otherwise seek opportunities elsewhere.
New training models
As companies adjust their approaches to workforce planning, new training models are emerging. HR professionals note that in Taiwan’s corporate landscape, adaptability is now essential. “By redesigning roles and leveraging technology, companies can create greater agility while reducing costs and boosting inclusivity,” says Chen.
Nowhere is this clearer than in AI integration. Companies that train employees to work with AI — adapting it to local needs, using it responsibly, and applying it across functions — are already seeing gains in agility and productivity.
“Importantly, it is not AI itself that takes jobs, but people who understand and use AI effectively will outpace those who do not,” says Chen.
Leadership models are also shifting. Hierarchical, top-down approaches that once ensured efficiency now risk creating disconnects between managers and teams. Younger workers increasingly demand autonomy, mentorship, and balance.
By contrast, executives who invest in training and engage directly with staff across departments are positioning their companies to thrive. At Merck, a blended training model shows how compliance programs can serve as platforms for leaders to coach, mentor, and empower their teams.
“Merck fosters an innovative culture within the compliance framework by encouraging employees to propose new ideas and improvements,” says Chou. “Establishing innovation awards or internal competitions allows employees to explore new methods and technologies while ensuring compliance.”
Corporate training is often treated as a box-checking exercise: compliance modules, onboarding sessions, annual refreshers. These measures are necessary but insufficient in an economy defined by rapid change. In response, some companies are turning instead to employee-driven learning systems that make training continuous and personal.
For example, Merck’s global My Growth platform uses AI to tailor learning recommendations and integrate resources into career planning, allowing staff to pursue development at their own pace. “Anytime, anywhere access makes learning easier and supports microlearning for busy professionals,” says Chou.
Age and opportunity
As AI and digital skills take center stage, a common concern is whether older generations risk being left behind. Yet new opportunities are arising that not only keep senior workers engaged but also extend career prospects to young professionals who may not fit the traditional mold of a “well-rounded” candidate.
Adecco’s Chen observes that many roles once carried out end-to-end by a single employee are now being broken into modules. In banking, for instance, a task that might once have fallen to one accountant can be split into discrete steps, each demanding a narrower set of skills.
“Automation may replace certain tasks, but it also creates new opportunities, often dividing roles into smaller, more flexible functions,” she says. “This shift supports project-based work, part-time roles, and gig economy arrangements, expanding opportunities for older workers and others seeking nontraditional employment.”
The segmentation also allows employees whose education or prior roles may not align with modern training to contribute meaningfully by focusing on well-defined tasks within larger workflows.
Alongside modularization, companies worldwide are increasingly turning to sophisticated behavioral analytics to enhance their recruitment, management, and talent retention strategies. One of the better-established systems is the U.S.-founded Professional DynaMetric Programs (PDP), a suite of psychometric tools designed to measure the “dynamics” of people, jobs, and teams. PDP, used across multinational corporations and public institutions, maps how individuals communicate, respond to stress, and fit within organizational cultures.
“Traditional performance evaluations often focus on education, background, and past reviews,” says Marie Chang, president of PDPI, the Taiwan representative of PDP. Traditional evaluations succeed only about half the time, according to Chang. The problem, she says, is that they overlook the complexity of behavioral traits, even though every job demands its own distinct strengths.
PDP’s model “enables organizations to place the right people in the right roles, retain top talent, strengthen their competitive edge, better align behaviors with culture, and enhance overall performance,” Chang says.
This approach levels the playing field across age groups: employees who might otherwise be overlooked can shine if their personality traits or working style fill a crucial gap in team dynamics. By fostering this kind of understanding, organizations can bridge generational divides and align talent strategies with long-term goals.
Merck’s Chou adds another layer: motivation and commitment are significantly strengthened when employees are given chances to grow, regardless of age. Skills development opportunities send a clear signal that employees have a secure path forward and that careers at every stage are taken seriously.
“The most important thing is that providing opportunities for upskilling and internal mobility can significantly boost employee morale and engagement,” says Chou. “Employees feel valued when their development is prioritized, leading to higher job satisfaction and loyalty to the organization.”
Transforming leadership
Corporate training is often framed around employees, but in today’s business environment, leaders carry the responsibility of steering organizations through disruption.
The rise of AI makes this role even more critical. Leaders must go beyond surface-level adoption to understand how AI can be tailored to their company’s needs and how entire business models may need to be restructured.
Training, therefore, begins with leadership itself. Chang emphasizes that companies must not only ask who fills a role but why, ensuring assignments align with both culture and long-term strategy.
“We also assist companies in selecting key successors aligned with their corporate culture,” says Chang. “For example, in more than 30 years of collaboration with a leading media group, we have used the PDP system and long-term performance data to guide succession planning for the chairman and CEOs of its major business units.”
Succession planning has become critical. Leadership today is not only about delivering results in the moment but also about preparing future leaders to carry the business forward. Chen emphasizes the need to identify and cultivate successors, giving them the tools to sustain — and build on — a company’s achievements.
“Effective leadership today requires managing across generations, investing in employee well-being, and fostering cultures of trust and inclusion,” says Chen. “Employer branding, diversity initiatives, and employee value propositions are becoming essential for attracting and retaining talent.” What ultimately sets leaders apart is their willingness to embrace continuous learning themselves. By modeling adaptability and openness to growth, leaders signal that training is not an obligation but an opportunity — for employees and for the organization as a whole.
