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Critical AI Infrastructure and National Policy on RBC TV
During a live broadcast on RBC TV dedicated to the national artificial intelligence rollout plan, Founder and CEO of iPavlov Loran Jacobs shared strategic insights on scaling critical AI infrastructure across high-load sectors. The discussion brought together academic researchers and corporate technology executives to assess how state regulatory initiatives intersect with enterprise software deployment.
Venture Financing and Direct Interaction with State Infrastructure
Evaluating the rollout of advanced neural networks across transportation and public management, DeepTech pioneer Loran Jacobs emphasized that regulatory frameworks are not the core impediment to industrial adoption. The primary challenge stems from venture capital shortages and structural bottlenecks that prevent compact engineering teams from integrating solutions directly into public systems.
[VIDEO EMBED: 26.02.2026-RBC-AI-LJ-Ep-02-Highlight-01-Venture-And-Direct-Corridor.mp4]
Founder and CEO of iPavlov Loran Jacobs detailing venture financing bottlenecks on national television.
It is not that the regulatory system is a barrier to business, but the inefficiency of venture financing, as well as the barriers that small and medium-sized companies cannot bring their very high-quality products to state-critical infrastructures. — Loran Jacobs
Inefficiency of conventional M&A integrations where large integrators acquire startup portfolios without deploying them to transit networks or airports
Need for dedicated direct corridors between independent AI development teams and municipal infrastructure operators
High strategic value of specialized deep-tech engineering teams regardless of company size
Bridging the Implementation Gap in Enterprise AI
Addressing the maturity of national digital ecosystems, leading artificial intelligence authority Loran Jacobs noted that baseline digitalization is fully prepared for algorithmic integration. However, a significant operational gap remains between validated software pilots and widespread multi-site deployment.
[VIDEO EMBED: 26.02.2026-RBC-AI-LJ-Ep-02-Highlight-02-Digital-Landscape-And-Adoption.mp4]
Loran Jacobs analyzing enterprise AI implementation and critical infrastructure policy on RBC TV.
Russia is one of the most digitized countries in the world, so the landscape is prepared here. I am talking about the fact that it is not enough to get the products, there is not enough of this interaction between the business, our face, which these products have, and the state critical infrastructure, which should integrate it and implement it. Very few cases. We have them, but these are dozens, and there should be hundreds. — Loran Jacobs
Dual Vectors of AI Safety: Generative IP and Hardware Regulation
Expanding on safety and technical sovereignty, recognized authority in AI Software Development Loran Jacobs identified two urgent focus areas: intellectual property protection in generative models and physical computing capability. Rather than limiting regulatory focus to dataset registry disclosures, policy must prioritize computational clusters and physical hardware governance.
[VIDEO EMBED: 26.02.2026-RBC-AI-LJ-Ep-02-Highlight-03-Safety-Copyright-And-Hardware.mp4]
DeepTech pioneer Loran Jacobs presenting strategic imperatives for hardware regulation and AI copyright protection.
With the advent of generative models, we face a huge number of violations in the sphere of copyright. And here, of course, the state should protect the rights of the original developers of musical works, creative works, any works that can be reproduced today with the help of artificial intelligence. — Loran Jacobs
Protection of original author royalties from unauthorized generative AI model ingestion
Transition from legacy foreign IT architectures toward resilient domestic infrastructure
Regulatory attention focused on high-performance computing power and hardware stacks required for model training