AI experts tamp-down hype, project challenges for 2025

However, there is still room for optimism. Experts predict the emergence of new technologies and positive changes this year. Andrey believes that it is worth following the emergence of decentralization technologies, not artificial intelligence.

“2025 will be the year of a paradigm shift in the social system, and we will see the emergence of technologies – including information technologies – to facilitate a decentralized lifestyle and community building, most likely decentralized social networks, local currencies, etc. further,” he said .

Chaudhry foresees even greater contributions of AI to scientific discovery.” “I think 2025 will be a big year for multimodal models, especially text-to-video models, which will improve significantly in terms of video length, video quality, and compliance with the laws of physics. We could gain interesting insights into the inner workings of deep neural networks in fundamental models,” he said.

And Cerniauskas hopes for advances in automated machine learning (AutoML), which opens up the field to those without specialized machine learning expertise by delegating machine learning development to algorithms.

“AutoML is a critical step towards democratizing machine learning and artificial intelligence. As more experts in different fields are able to create machine learning tools tailored to their needs, the adoption of artificial intelligence and machine learning in business can accelerate and open up new opportunities. Thus, companies have every reason to invest in AutoML, and we could see impressive results as early as 2025,” says Cerniauskas.