From White Collar to AI

The rapid development of artificial intelligence and agent systems will lead to radical efficiency gains from today until 2030. Fields such as software, data analytics, marketing and advertising, legal research, financial modelling, consulting, human resources, project management, and sales will be heavily affected. Research timelines that once took weeks will drop to hours, reducing companies’ operational costs.

Processes such as reporting, data processing, presentations, operations, and back-office functions will be instantly automated, impacting positions such as call-centre staff, analysts, assistants, and operators. Small teams will be able to operate with huge leverage, and start-ups will be capable of competing with major corporations. Even though costs related to data, APIs, and AI tools will emerge, personnel expenses will decrease significantly.

With increased productivity, major macroeconomic benefits will follow; sectors such as electricity, computing, and the internet will experience growth. Automation will also lead to price reductions, making SaaS, education, legal services, healthcare and similar fields faster and more affordable.

The risks can be summarized as follows: employment impacts, workforce adaptation and the emergence of new job categories, data privacy concerns, regulation, monopolization, and fraud must all be carefully addressed. Every technological advancement comes with risks; what matters is effective risk management.

The inevitable reality—propelled by GPU technology, the explosion of data, transformer algorithms, and the rapid evolution of large models—has emerged suddenly and is progressing faster than we are.

In summary, as I always say: those who adapt will remain; those who do not will be left behind.

Dr. Bilinc Dolmacı