WEF 2025: 74% of companies are striving to scale AI, yet only 16% are prepared for its reimagining.

During the annual meeting of the World Economic Forum, dedicated to technological trends, the primary focus was on the use of artificial intelligence (AI) across various industries. While 83% of executives view AI as a strategic priority for their organizations, there are significant disparities in the maturity and implementation of AI in different sectors.

This was discussed at WEF 2025.

The Challenges of Scaling AI

The forum leader emphasized that only 74% of companies are attempting to scale their AI implementation. Experts believe that the main barriers include a lack of appropriate infrastructure, a shortage of skilled personnel, and poor data quality.

Seismic Data in Hours, Not Months

Aramco's President and CEO, Amin Nasser, spoke about the transformational impact of AI in the energy sector.

“The energy industry generates vast amounts of data daily – nearly 10 billion data points. Thanks to AI, processes that used to take months can now be completed in hours. This is possible due to 90 years of data experience and modern technologies. However, to scale, you need not only data but also the right infrastructure and talent,” Nasser noted.

Hyper-Personalization in Real Time

Julia Svit, chair and CEO of Accenture, highlighted three main trends in AI development: hyper-personalization, physical AI, and technology upgrades.

“Hyper-personalization enables businesses to tailor offerings to customer preferences in real time. For instance, Radisson Hotels now displays different hotel images based on whether a customer is going skiing or planning to relax at a spa. This trend is rapidly evolving in the banking, retail, and healthcare sectors,” Svit stated.

Physical AI: From Tires to Warehouses

Svit also emphasized that physical AI significantly reduces downtime in manufacturing. “Previously, investigating defects on production lines took weeks, but now it only takes hours. This is extremely important for companies, as every hour of downtime impacts revenue.”

She also reminded that Accenture, in collaboration with Nvidia, is developing solutions for warehouse automation, helping to reduce manual labor and address staff shortages.

The Challenge of Mainframes

Another significant challenge remains technology upgrades. “Many companies are operating on outdated mainframes, which slows down processes. Utilizing modern technologies, such as Genii, allows for a quicker transition,” Svit concluded.

Background. Previously, Mind reported on what to expect at WEF 2025 and who to look forward to. The key highlights from this year’s World Economic Forum agenda.