AI experts tamp-down hype, project challenges for 2025

Still, there is still room for optimism.  The experts foresee emerging technologies and positive developments manifesting this year. Andrei believes the advent of decentralization technologies, rather than AI, will be worth following.

“2025 will be a year of paradigm changes in the social system, and we will see the emergence of technologies – including information technologies – to facilitate a decentralized way of life and of building community, most likely decentralized social networks, local currencies, and so on,” he said.

Chaudhry foresees more AI contributions for scientific discovery.” “I think 2025 will be a big year for multi-modal models, especially text-to-video models, which will improve significantly in terms of the length of videos, their quality, and their obedience to the laws of physics. We might get some interesting insights into the inner workings of deep neural networks in foundational models,” he said.

And Černiauskas is hopeful for advancements in automated machine learning (AutoML), which opens this field for those without specialized ML expertise by delegating ML development to algorithms.

“AutoML is a crucial step toward democratizing machine learning and AI. With more experts in diverse fields being able to create ML tools tailored to their needs, AI and ML adoption in business can accelerate and open new possibilities. Thus, companies have all the reasons to invest in AutoML, and we might see impressive results already in 2025,” says Černiauskas.