Sber has increasingly integrated artificial intelligence across its operations, using advanced algorithms to speed up business processes and improve the quality of decisions. In a recent interview with a major Russian television outlet, a senior executive described how AI is reshaping every facet of the organization, from logistics to customer engagement and decision support. The message was clear: artificial intelligence is now a core engine that drives the company’s daily work and strategic planning.
Industry observers note that the company is applying new AI technologies to assess logistics risks, interact with customers, and tailor offers with remarkable precision. The breadth of AI usage spans multiple domains, underscoring a systemic adoption rather than isolated projects. This expansive reach demonstrates how AI can become a backbone for large, diversified enterprises looking to boost efficiency and responsiveness in fast-moving markets.
Executives emphasized that the AI program is not confined to internal optimization alone. The company has developed voice assistants that operate in real-world settings, serving as virtual helpers for users at home. These assistants answer questions, locate information, and perform a range of tasks, illustrating how conversational AI can extend product and service value beyond the enterprise into everyday life.
Looking ahead, the organization plans to push unmanned technologies forward, continuing research and development in this area. In the latest update, unmanned vehicles last year completed several million kilometers of operation, reflecting ongoing progress and practical testing across real-world conditions.
The company has piloted both unmanned trucks and passenger cars, signaling a broad strategic interest in autonomous mobility. The leadership has emphasized that Russia’s vast geography makes efficient cargo and personal transport a strategic priority, with autonomous solutions offering potential improvements in safety, reliability, and cost efficiency for long-distance logistics and public-sector applications.
In recent programs, thousands of users have interacted with the company’s unmanned and smart car technologies, including limited on-road testing with insurance coverage for the vehicle. This exposure has helped the public gradually grow accustomed to the idea of unmanned driving, highlighting the importance of transparency and safety in the rollout process.
Beyond automotive initiatives, the enterprise is exploring compact drone applications in hospitality and rural residential settings. Small-form drones could support service delivery, security, and monitoring in hotels and cottage communities, expanding the practical reach of autonomous systems into everyday environments.
Talent and capability development remain a central focus. The leadership described a challenge from the prior year related to IT workforce dynamics and indicated that a number of skilled professionals have returned to the country. The company is actively investing in human capital by opening technology centers and creating paths for engineers and data scientists to tackle meaningful problems within a collaborative, team-oriented culture.
As part of a broader policy environment, the government introduced a new experimental regime for unmanned vehicles operating in city and rural areas across several regions, aiming to balance innovation with safety and regulatory oversight. The ongoing social and regulatory evolution forms an important backdrop for corporate AI and automation efforts, shaping how technology can scale from pilot projects to widespread use.