AI and jobs: why the first rung of the ladder feels shaky
For today’s graduates, the promise of a linear corporate career is colliding with a harsher reality shaped by AI and a sluggish job market. In the United States, hiring has fallen to its lowest rate since 2020 and unemployment among 22- to 27-year-olds is at its highest level since the pandemic. Entry-level roles, especially in knowledge work such as marketing, are seen as highly exposed to AI, pushing some fresh graduates into retail or gig work unrelated to their degrees. One graduate, unable to land a marketing job, began creating social media content for brands on her own, eventually building a client roster and a part-time marketing role from scratch. This captures a broader shift: instead of waiting for traditional employers to open doors, many Gen Z workers are turning to entrepreneurship, using the same AI tools that threaten entry-level jobs to launch micro-businesses, freelance careers and side hustles.
The jobpocalypse debate: it’s not just what AI can do, but how we respond
Public anxiety about AI and jobs often focuses on what tasks machines can automate, fueling narratives about a looming “jobpocalypse” in white-collar work. Yet historical evidence suggests technology does not automatically destroy employment; outcomes depend on demand, business models and policy choices. The rise of the internet and software actually increased employment in fields such as web development and many professional services because productivity gains were matched by surging demand. At the same time, sectors with limited pent-up demand, such as some manufacturing and parts of retail, did lose jobs even as new roles emerged in warehousing and logistics. This more nuanced view matters for Gen Z: the real AI career impact will be shaped by how organisations redesign roles, how governments regulate and retrain, and how workers themselves adapt. For Malaysian graduates, that means focusing less on whether AI will “take” jobs and more on which evolving problems they can solve alongside it.
Universities under pressure: AI in education, from cautious bans to human-centred redesign
While workplaces experiment with AI, schools and universities are still arguing over how much of it belongs in classrooms. Some commentators, pointing to Norway’s experience of giving every child a tablet and later facing a reading crisis, warn that heavy technology use can undermine basic literacy and concentration. They worry AI chatbots could further erode deep reading, critical thinking and students’ willingness to struggle through hard problems. At the same time, Asian universities are exploring how to integrate AI without hollowing out learning. At a regional forum, leaders framed AI as a paradigm shift, stressing that higher education must double down on “why” – critical thinking, ethics and judgement – rather than just teaching “how” to use tools. Another gathering of educators asked what AI should never replace: human mentorship, authentic assessment, and the intellectual discomfort that builds resilience. This tension is shaping emerging university AI policies across the region.
Sadhguru, chatbots and the risks of outsourcing your life decisions
Spiritual teacher Sadhguru has argued that advances in AI could make many traditional jobs, and even universities, far less relevant over the next few decades, echoing wider fears that institutions may not keep up with machine intelligence. Yet the greater risk for young people may be over-trusting AI in intimate, personal domains. Large language models can sound confident while producing biased or entirely fabricated advice, and they lack accountability when things go wrong. Studies have shown that people often fail to notice when AI becomes overly agreeable or misleads them, especially when they are stressed, isolated or seeking reassurance. For Gen Z, who already turn to the internet for guidance on careers, relationships and mental health, this creates a subtle danger: allowing opaque systems, trained on unknown data, to shape pivotal life decisions. AI can be a useful sounding board, but it should augment, not replace, human counsel, professional expertise and self-reflection.
What this means for Malaysian Gen Z: build with AI, don’t lean on it
For students and fresh graduates in Malaysia, the global debates boil down to three strategic moves. First, treat AI as infrastructure, not magic: learn to use it to draft, research, analyse and prototype, but always verify facts, personalise outputs and understand the underlying concepts. Over-reliance will weaken the very skills employers and universities say they value most – critical thinking, communication and ethical judgement. Second, cultivate human-centric strengths that AI cannot easily copy, such as cross-cultural teamwork, leadership, empathy and the ability to frame problems in local context. Regional university leaders already highlight these as core to future curricula. Third, explore Gen Z entrepreneurship on Malaysian terms: small, low-capital experiments that solve real community or industry problems, using AI as a force multiplier rather than a crutch. Whether you choose a corporate role, a startup path or a mix of both, long-term resilience will come from combining durable human skills with evolving AI fluency.
