By Louise Stigwood
AI is the most transformative technology of our generation and to position Australia as a global AI and technology leader, we must build our current and future national AI capabilities. As Australian companies increasingly integrate artificial intelligence (AI) into their operations, a critical question emerges: are we, as a society, preparing young people adequately to enter a workplace where AI skills will be the norm, and where many entry-level tasks will soon change?
It’s a question that requires resolving three fundamental challenges.
The Knowledge Gap
Despite AI’s growing influence across industries, 39% of Australian businesses report that there aren’t enough digitally skilled workers to facilitate deeper AI adoption and integration.
AI tools have democratised access to powerful AI capabilities for most industries and roles. Whether it’s the administrative assistant sorting schedules, the marketing specialist analysing campaign data, or the HR manager screening resumes – all benefit from AI tools at work.
According to a global survey by LinkedIn, 33% of professionals admit that they feel embarrassed by how little they understand AI, with Gen Z professionals nearly two times more likely than Gen X to exaggerate or lie about their AI skills at work. That’s why we need to keep promoting continuous learning, and where workers can self-learn AI skills. There is no time to lose when AI technologies are advancing at lightning speed.
Deepened Education-Industry Collaboration
With the rapid pace of technology advancement, the “half-life of skills” (the time it takes for a skill to lose half its relevance) is shrinking exponentially, from 10-15 years down to five years. It means students and workers must be able to consistently learn and update their professional skills quickly, even as technology advances.
To unlock Australia’s AI capability, we must start early, and teachers are our most critical enablers. They represent one of the earliest and most effective touchpoints through which we can nurture future generations of technology and AI innovators.
While some schools and universities have begun integrating AI skills, our school systems are not generally designed for this pace of change. That’s why industry partnerships that bring real-world AI applications directly into classrooms are so important. We’ve been working with Tech Futures Australia to roll out the AWS AI Spring K-12 AI Education program, Australia’s first locally developed, co-designed AI education program available to all K-12 students, teachers, parents, and carers across public and independent schools.
Why does this matter? In a recent AWS survey, more than three-quarters of teachers said they are enthusiastic about using AI in their classroom, but they need guided lesson plans, real-world case studies, and a safe, secure age-appropriate environment to do so.
The Skills Taxonomy Vacuum
It’s clear that people need to evolve their skillsets as technology evolves. But what are the specific new skills required for each profession, in the AI era?
Take university for instance: what AI skills should a marketing graduate be pursuing versus a finance major? How should a humanities student approach AI to remain competitive? These questions remain largely unanswered for graduates and educators. We need industry-specific consortiums to develop clear taxonomies of AI skills required for entry-level roles.
Our recent global research with Draup identified in-demand entry-level technology roles and the AI skills that are necessary to secure them. This provides crucial guidance to students on the specific types of skills and training that can ensure their employability.
This is just the beginning. The private sector, policymakers, and educators must collaborate to identify AI skills taxonomies for different professions to help prepare individuals, especially early-career professionals, for an AI-focused labour market.
A Collective Responsibility
The rapid advancement of AI presents both unprecedented opportunity and risk. Used properly, AI can eliminate the most mundane aspects of entry-level work, allowing young professionals to engage in more meaningful, strategic contributions earlier in their career. But this future depends on collective action.
Employers must move beyond AI adoption to develop comprehensive workforce transformation strategies. Educational institutions must accelerate curriculum updates through industry partnerships, and students need accessible pathways to develop AI literacy regardless of their field of study.
No single entity can solve this challenge alone. The future of work – and the success of the next generation of Aussie workers – depends on our collective ability to close the AI skills gap today. If we fail, we risk creating a two-tiered workforce: those with AI literacy who thrive, and those without who struggle to gain economic footing.
By acting now, we can build a future where AI enhances human potential across all segments of society – starting with those just entering the workforce.
Louise Stigwood is Managing Director, ANZ Public Sector at Amazon Web Services (AWS).