As an AI, digital, and socio-tech professional, I try to stay updated on well-researched perspectives about AI’s impact on employment and society. The OECD’s 2023 Employment Outlook offered valuable insights, many of which are still relevant today. However, technology has evolved quickly since then, and I recently came across another thought-provoking opinion piece.

The Economist’s take on the AI versus jobs debate was concise, balanced, and data-driven. It avoided dramatic projections about massive disruptions. The key message was that, for now, AI appears to be augmenting human work rather than replacing workers.

But how do we reconcile this with the wave of layoffs at major tech companies like Google and Microsoft, often linked to AI? Context is important. We need to look beyond the tech sector and examine the broader labor market. In the United States, unemployment remains relatively low, and white-collar employment and wages have seen slight growth in recent years. OECD countries have also recorded high employment levels.

Even within tech, the situation is more nuanced. AI is automating routine tasks such as coding and customer support, but it is also creating new roles like prompt engineers, LLM specialists, and AI safety and ethics professionals. In many cases, AI adoption is more about augmentation than replacement.

What does this mean for countries like India? India stands at a critical intersection of opportunity and challenge. While overall employment opportunities may continue to grow with economic development, the IT sector and tech-influenced white-collar jobs could experience significant disruption due to AI-driven shifts.

It is still unclear whether we are in an early adjustment phase before AI’s full impact becomes visible, or whether the fear of widespread job loss has been overstated.

However, one thing is certain. A major phase of job transition, reskilling, and re-education has already begun. We need to prepare strategically rather than respond reactively.