Octave: AI Adoption in Asia's Industrial Sector Accelerates... Workforce Capabilities and Specialized Expertise Shortages Emerge as Key Challenges
TECHWORLD ·
✦ AI Summary
Octave Intelligence announced research findings on workforce capability building for the AI era in Asia's industrial sector at Octave Live OnTour in Singapore.
The survey found that more than half of Asian companies expect frontline workers to manage and oversee AI-based systems by 2028, with skill shortages, the loss of specialized expertise, and workforce readiness identified as challenges.
Future core capabilities were systems thinking and operational management at 38%, communication between technical and nontechnical workers at 34%, and cybersecurity and data governance at 32%, while employee concerns centered more on AI's trust, safety, and reliability than on job replacement.
Octave Intelligence released new research findings. Octave said that Asia's industrial sector is accelerating efforts to strengthen workforce capabilities in preparation for the AI era.
The findings were announced at Octave Live OnTour, held in Singapore on September 17-18. The survey targeted industrial technology decision-makers worldwide.
The survey found that more than half of companies in Asia expect frontline workers to be responsible for managing and overseeing AI-based systems across multiple teams or organizations by 2028. At the same time, skill shortages, the loss of specialized expertise, and workforce readiness have emerged as key challenges.
Companies are also increasingly worried that employees may lack the skills, knowledge, and confidence needed to collaborate with AI. The results showed a broader pattern of companies anticipating expanded AI system management roles for frontline workers while also questioning whether they are prepared to support that shift.
Fabio Yada, senior vice president for Asia Pacific at Octave, said the conversation around industrial AI has moved beyond technology adoption. He identified the key challenges as maintaining operational expertise and preparing for effective collaboration between intelligent systems and people.
Octave emphasized that the survey points to a major shift in workforce capability priorities across Asia's industrial sector. This trend was reflected in the survey results' changing skills priorities.
In the survey, the No. 1 core capability for the future industrial workforce was systems thinking and operational management at 38%. Communication between technical and nontechnical workers followed at 34%, while cybersecurity and data governance stood at 32%. Human-machine interaction came in at 25%.
This trend was especially pronounced in South Korea. Fifty-nine percent of South Korean respondents chose systems thinking as the most important capability for the future workforce.
Octave said the South Korean figure reflects the growing complexity of industrial operations and digital ecosystems.
The study also found rising concerns about workforce readiness, showing that as AI spreads, preparing people and securing the right capabilities are becoming bigger concerns than the technology itself.
In Japan, 38% of respondents identified failure to upskill employees as the biggest AI-related risk for their organization over the next 5 years.
This concern was analyzed as a bigger factor than the technical challenges of general AI adoption.
As a result, companies across Asia are expanding their focus beyond introducing intelligent systems to supporting effective collaboration between employees and systems. Industrial leaders are also accelerating responses to the risk of losing key operational knowledge as experienced workers retire.
Forty-eight percent of companies in Asia are already using AI-based tools for knowledge collection and transfer. These tools are being used to preserve specialized expertise and support future generations of workers.
The survey showed that South Korea is leading Asia in this area. Fifty-four percent of South Korean companies were found to be using AI-based knowledge collection solutions.
At the same time, concerns were high in Japan about undocumented operational knowledge remaining confined to the experience of skilled workers. Yada described the findings as a fundamental shift in how industrial companies view workforce development. He said companies have spent decades focusing on collecting data on assets and operational processes, but that attention is now expanding to securing human expertise.
Yada said the mark of a successful company is combining operational knowledge, connected data, and AI. He explained that combining operational knowledge, data, and AI accelerates learning, improves decision-making, and strengthens workforce resilience.
Octave said the study produced findings that differ from common assumptions about employee concerns over AI. The results showed that employees' biggest worries about AI are not job replacement, but trust, safety, and reliability.
In Asia, 25% of respondents identified the risk of AI errors leading to safety incidents as their biggest workforce-related concern. Transparency and trust in AI decision-making also emerged as major concerns.
Australia showed different workforce-related challenges. Twenty-eight percent of Australian respondents were concerned that expanding AI use in industrial settings could erode the status of experts and specialized technical knowledge.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407385
References
This article was produced with the help of an automated content generation algorithm.
Source: TECHWORLD
View originalThis article was summarized and organized by BizCrush based on the original article from TECHWORLD. For exact quotations and full details, please refer to the original article.