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The AI Talent Gap Is Still the Weakest Link in Indonesia's Digital Transformation
Indonesia's most trusted cybersecurity and AI training academy explains why the country's AI and cybersecurity talent gap has become a risk as real as cyber threats themselves, and what organizations actually need to close it.
ITSEC Asia
Introduction
How many people on your team truly understand how to build, secure, and govern AI-based systems today. For most organizations, the honest answer is far fewer than what's actually needed. The World Economic Forum's Future of Jobs Report 2025 found that nearly 39 percent of workers' core skills are expected to change significantly by 2030, with AI and big data sitting at the top of the list of skills most in demand and hardest to fill. ITSEC Asia, which works with organizations across Indonesia, Singapore, Australia, and the UAE, sees the same pattern play out almost everywhere. AI adoption is moving far faster than organizations' ability to build, secure, and responsibly govern the technology.
Source: World Economic Forum, Future of Jobs Report 2025
Demand for AI Talent Is Growing Faster Than the Supply
This isn't simply a headcount problem, it's a widening gap between how fast technology is being adopted and how fast organizations can produce people genuinely capable of handling it.
- ISC2's workforce study puts the global cybersecurity talent gap at 4.8 million positions, while growth in the active workforce has nearly stalled even as demand keeps climbing.
- The World Economic Forum found that 63 percent of global employers cite the skills gap as the primary barrier to business transformation.
- Around 80 percent of companies plan to reskill employees in AI capabilities, while two-thirds plan to hire talent with specific AI expertise.
- Workers with proven AI skills are now commanding a far higher wage premium than a year ago, a clear market signal that demand has outpaced supply.
What makes this harder still is that AI talent and cybersecurity talent increasingly overlap, since organizations need people who can not only build AI systems but also secure them and manage the governance that comes with them.
Source: World Economic Forum, Future of Jobs Report 2025 · Cybersecurity Skills Gap Statistics 2026, StingRAI
In Indonesia, the Gap Feels Even Closer to Home
This global challenge has a very concrete face in Indonesia.
- Research by the World Bank and McKinsey estimates Indonesia will need roughly nine million additional digital talents by 2030, equivalent to about 600,000 people a year.
- Domestic universities currently supply only around 100,000 to 200,000 new digital talents each year.
- That leaves an annual shortfall of 400,000 to 500,000 people, with the hardest positions to fill concentrated in the most specialized fields such as data science, cloud computing, AI, and cybersecurity.
- The government has repeatedly stressed that this problem cannot be solved by any single party, and continues to push for closer collaboration between government, industry, and educational institutions.
Collaboration among these three groups remains the most realistic path to accelerating the talent supply needed to keep pace with Indonesia's growing digital economy.
Source: Indonesia Butuh 9 Juta Talenta Digital pada 2030, Kompas.com · BAKTI Kominfo: RI Butuh 9 Juta Talenta Digital Hingga 2030, CNN Indonesia
Closing the Gap Takes More Than Just Hiring
Faced with numbers like these, the easiest instinct is to assume the fix is simply hiring more people or sending teams through a short certification course. The reality is more complex. Talent that's genuinely ready for AI work needs a combination of things that are rarely taught together, technical grounding to build and deploy AI systems, an instinct for the security and governance risks that come with it, and real hands-on experience with realistic scenarios rather than classroom theory alone. The more effective approach treats competency development as a continuous cycle rather than a one-off event, starting with an assessment that maps a person's specific skill gaps, followed by an adaptive learning path built around those gaps, tested through simulations that mirror real working conditions, and re-evaluated on an ongoing basis. Organizations that run this kind of cycle tend to be far better prepared than those relying on a single round of training and assuming the problem is solved, since AI technology and the threats around it keep evolving faster than any static curriculum can keep up with.
Source: The AI Security Skills Gap: What It Is, Where It Exists, and How to Close It, OffSec · Closing the Cybersecurity Skills Gap From Within, Stratascale
Building the Habit of Learning, Not Just Filling Vacancies
The organizations that stay competitive as AI adoption accelerates won't be the ones with the biggest recruiting budgets, they'll be the ones that build a habit of continuously developing their teams' competencies at the same pace the technology itself is changing. Over 16 years, ITSEC Asia has seen firsthand how this gap affects organizations' readiness to face cyber threats while using AI safely, and talent development has become part of how ITSEC Asia contributes to closing that gap. If your organization is thinking through how to strengthen your team's readiness in cybersecurity and AI, the ITSEC Asia team is open to a conversation at itsec.academy/ and itsec.asia/contact.
