‘Godfather of AI’ warns software engineering jobs could shrink sharply in 2026

Geoffrey Hinton, a renowned figure in the field of artificial intelligence, has issued a stark warning regarding the potential consequences of AI advancements, predicting significant job losses by 2026. In a recent interview with CNN, Hinton emphasized the accelerated pace of AI development, which he believes could lead to a crisis in employment across various sectors. Hinton expressed increased concern about AI's capabilities, stating, "I'm probably more worried. It's progressed even faster than I thought." He specifically pointed out the technology's growing proficiency in reasoning and its ability to mislead individuals, which he considers a genuine concern shared by many in the tech industry. When asked about the future impact of AI, Hinton forecasted that the technology would continue to improve, becoming adept at tasks currently performed by humans. He explained that AI has already shown its ability to replace jobs in call centers and is on the brink of taking over many other roles. "Each seven months or so, it gets to be able to do tasks that are about twice as long," he noted, highlighting the rapid advancements. The AI expert elaborated on the evolution of AI in coding, indicating that it has progressed from handling minutes of programming to being capable of creating entire projects that could take an hour. He cautioned that in just a few years, AI could tackle software engineering projects spanning months, drastically reducing the need for human engineers. Hinton echoed sentiments from Nvidia CEO Jensen Huang, who referred to AI as the most transformative technology of our era. Despite the potential job losses, he acknowledged the positive contributions AI could make, such as enhancing healthcare and education, and aiding in the development of new drugs and materials to combat climate change. When addressing the concerns of companies developing AI technologies, Hinton remarked that attitudes vary. He noted that OpenAI initially prioritized safety but has shifted focus toward profit. In contrast, he described Meta as consistently prioritizing profit over safety. However, he commended Anthropic for its ongoing commitment to safety, even as it seeks profitability. As the conversation around AI continues to evolve, Hinton's insights serve as a critical reminder of the technology’s profound implications for the future of work and society.