AI Readiness in Higher Ed: How Universities Prepare Tech Talent
Artificial intelligence is no longer something graduates learn about after they enter the workforce. It is the language of the workforce itself. Machine learning models now approve loans, computer vision systems inspect factory lines, and large language models draft code alongside junior engineers. The question facing universities is no longer whether to teach AI, but whether their graduates will build these systems or simply be displaced by them. IDC projects that more than 90% of global enterprises will face critical skills shortages by 2026, with sustained skills gaps risking $5.5 trillion in losses from global market performance. The World Economic Forum adds to the warning, with 39% of workers’ existing skills expected to change or become outdated by 2030. Together, these figures highlight the need to evolve technology education as rapidly as the tools it teaches.
Among institutions responding to this shift is Deakin University, which places AI and...
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