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22:09, 02 January 2026
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Eduard Ashrafyan: “Business Solutions Follow Technological Ones”

According to the expert, artificial intelligence is approaching a productivity plateau.

In 2025, technological development has become one of the most powerful drivers of business and the economy. Technologies have evolved from auxiliary tools into a foundation without which further development is significantly constrained. AI technologies automate routine tasks, optimize business processes, reduce costs, and open up new opportunities for growth.

Eduard Ashrafyan shared his views on trends in artificial intelligence with IT Russia. He is a business architect of AI solutions at Reksoft, director for AI solutions exports at the Neuralab Center for Advanced Technology and Engineering, and an associate professor at the Department of Business Informatics of the Faculty of Information Technology and Big Data Analysis at the Financial University.

According to the analyst, based on the Gartner curve, or technology maturity cycle, artificial intelligence is expected to reach a productivity plateau.

“This means the technology has become sufficiently mature and understandable, and it is clear what to expect from it. We are now entering a wave of implementations. Business solutions follow technological solutions,” the expert said.

Despite past experience with unsuccessful implementations, there remains a high level of trust in artificial intelligence, and investment in the technology continues.

“There is already a huge number of successful AI use cases. We see how useful the technology can be across a range of solutions. And it has already delivered results, as confirmed by experts,” Ashrafyan added.

A Human–AI Duo

Earlier, at the annual Gartner IT Symposium in the United States, experts outlined 10 technology trends expected to influence business by 2026.

These include AI supercomputer platforms, multi-agent systems, domain-specific language models, AI security platforms, AI-native development platforms, confidential computing, physical AI, proactive cybersecurity, digital provenance, and data geopatriation.

Analysts identified AI-native development platforms as the key trend, as they combine the work of humans and artificial intelligence.

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