Tuesday, February 17, 2026

‘With AI around, hardly anyone does any real work,’ says university don

A leading university academic has issued a stark warning about artificial intelligence's impact on employment, declaring that "hardly anyone does any real work" in an AI-dominated world. The sobering assessment came during the Green Productivity Awards, where the intersection of technology and environmental sustainability took center stage.

While corporations celebrate the marriage of efficiency and ecology through AI-driven solutions, the academic's comments highlight growing concerns about human displacement in the modern workforce. The warning emerged as businesses increasingly turn to artificial intelligence to streamline operations and reduce environmental impact.

The Green Revolution's Dark Side

Speaking at the Green Productivity Awards organized by the Sri Lanka Association for the Advancement of Quality and Productivity, the university don challenged the prevailing narrative of AI as an unqualified benefit. The technology driving what many call the next "Green Revolution" may come at an unprecedented human cost.

The academic's concerns reflect a growing debate about whether AI's environmental benefits justify potential job displacement. While companies report significant efficiency gains and reduced carbon footprints through automation, questions remain about the social implications of widespread AI adoption.

Green productivity initiatives increasingly rely on artificial intelligence to optimize resource usage, minimize waste, and enhance operational efficiency. However, these same technologies often replace human workers, creating a paradox where environmental progress comes at the expense of employment opportunities.

Corporate Efficiency vs Human Employment

The corporate world's enthusiasm for AI-driven green solutions contrasts sharply with academic concerns about workforce displacement. Companies implementing AI systems report substantial improvements in productivity metrics while simultaneously reducing their environmental footprint.

These efficiency gains often translate into reduced labor requirements, as AI systems can perform tasks previously handled by human workers. The automation extends beyond simple repetitive tasks, increasingly encompassing complex decision-making processes that once required human judgment and expertise.

The university professor's warning suggests that the pursuit of green productivity may inadvertently create a workforce crisis. As AI systems become more sophisticated, the definition of "real work" performed by humans continues to narrow, raising questions about future employment prospects across various industries.

Technology's Double-Edged Impact

The Green Productivity Awards showcase highlighted both the promise and peril of AI integration in sustainable business practices. While environmental benefits are measurable and significant, the long-term implications for human employment remain largely unexplored.

Industry leaders present at the awards ceremony emphasized AI's role in achieving sustainability goals, from reducing energy consumption to optimizing supply chains. However, the academic's intervention served as a reminder that technological progress must consider human welfare alongside environmental concerns.

The debate reflects broader questions about how society should balance technological advancement with employment security. As AI capabilities expand, the challenge becomes ensuring that green productivity initiatives don't inadvertently create social and economic instability.

Redefining Work in the AI Era

The professor's assertion that "hardly anyone does any real work" with AI around raises fundamental questions about the nature of work itself. As artificial intelligence handles increasingly complex tasks, society must grapple with redefining human value in the workplace.

This challenge extends beyond individual job losses to encompass entire economic systems built on human labor. The transition to AI-driven productivity may require unprecedented changes in how societies structure work, compensation, and social support systems.

Educational institutions, represented by the warning academic, face particular pressure to prepare students for a job market where traditional roles may no longer exist. The challenge involves identifying skills and capabilities that remain uniquely human in an AI-dominated landscape.

Looking Ahead: Balancing Progress and People

The Green Productivity Awards discussion underscores the need for careful consideration of AI's societal impact. While environmental benefits are crucial for addressing climate change, the human cost of technological displacement cannot be ignored.

Policymakers and business leaders must develop strategies that harness AI's environmental benefits while protecting human employment. This may require new approaches to education, workforce development, and social safety nets designed for an AI-integrated economy.

The university don's warning serves as a crucial reminder that true sustainability must encompass both environmental and social dimensions. As the Green Revolution accelerates, ensuring that technological progress serves humanity rather than replacing it becomes increasingly important.

The debate initiated at the Sri Lanka productivity awards reflects global concerns about AI's role in shaping future work. Finding the right balance between efficiency, environmental responsibility, and human welfare will define the success of the next phase of technological evolution.