Universities lag in preparing students for AI-era jobs

A paper by Dr. Kelechi Ekuma at the University of Manchester’s Global Development Institute, published in Front in Education, warns that universities are not keeping pace with workplace changes caused by artificial intelligence. The study calls on higher education to rethink teaching, assessment and career preparation as AI systems spread across industries.

Ekuma notes that since the public release of ChatGPT in 2022 much academic attention has focused on detecting AI-generated work and enforcing plagiarism rules. The paper argues that this focus does not address the skills graduates will need to work with or alongside automated systems.

The report recommends teaching what it calls ‘critical AI literacy’ across curricula. That term covers understanding how AI works and where it fails, making decisions in complex situations, weighing ethical consequences, communicating clearly and adapting as tools change, according to the paper.

The study lists fields where AI and automation are already being embedded: public administration, welfare targeting, agriculture, finance, health, education, identity systems, humanitarian response and labor management. Ekuma writes these changes reshape the professional environment in which students are trained.

The paper identifies risks tied to widespread AI use, including system errors, built-in bias, overreliance on automation, unequal access to tools and concentration of influence among large technology firms. It recommends focusing on skills that AI struggles to replicate, such as critical thinking, ethical judgment, clear communication and knowledge of complex social issues. The report adds that not every course needs to be an AI course; existing modules should consider how AI alters the issues they teach.

The study appears as governments and organisations expand AI training. The U.S. Department of Labor launched an AI apprenticeship portal to broaden training across sectors such as education, finance, healthcare and manufacturing. A philanthropic programme announced $2 million to train artists on AI tools. An executive order earlier this year created a White House Task Force on AI Education and directed agencies to expand AI programs for students and teachers. Mississippi College School of Law now requires first-year students to complete AI coursework on understanding the technology and verifying its outputs.

The paper urges universities to move beyond short-term fixes and prepare graduates for workplaces where human judgment, communication and adaptability will interact with increasingly capable AI systems.