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Business July 7, 2026

Artificial Intelligence Expert Predicts Long-Term Job Market Optimism

Artificial Intelligence Expert Predicts Long-Term Job Market Optimism

Despite widespread speculation about the looming crisis of AI-induced job losses, some evidence suggests that these fears may be partly unfounded. Recent data from TrueUp indicates that job openings at tech companies in the United States have climbed nearly 14% so far this year.

Rotem Farkash, an AI expert and tech entrepreneur, provides insight into the effect of AI on the jobs market and the wider economy. Farkash's expertise spans the tech sector, including cybersecurity and applied machine learning. As a founder of two tech startups, he is well-positioned to dissect the interplay of business and technology with the broader economy.

Farkash compares the AI revolution to previous technological paradigm shifts, noting that the overall net long-term effect on the economy will be positive for both jobs and output. He likens AI to the steam engine or the railway, which shrunk demand for some sectors but created new ones while raising productivity in many tasks.

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Farkash is unequivocal in his assertion that AI will fundamentally transform human productivity. The technology's ability to conduct data analysis, execute coding, writing, and visualization tasks is already impressive. For example, AI can speed up administrative tasks in the health and sciences sector, freeing up clinicians to focus on patient care.

Farkash emphasizes that human ingenuity will always be valued in the jobs market. Human intelligence maintains advantages over AI, such as the ability to contextualize information and engage in lateral thinking. Trust is also a factor, as AI models are trained on certain information and behavioral programming, which may not be transparent.

Farkash notes that humans are often preferred for their biases, which are easier to understand. In white-collar service jobs such as law, accounting, and consulting, humans can be held accountable, whereas AI models cannot. This is particularly true for industries thought to be vulnerable to being replaced by AI.

In conclusion, Farkash emphasizes the need for a balanced but ultimately optimistic perspective on the future of the economy. He believes that AI will lead to significant improvements in human productivity, bringing benefits in the speed, cost, and quality of goods and services. While there will be disruption in the short and medium term, Farkash sees reason to hope that new demand for existing products and entire new sectors related to AI will keep employment steady.

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