ScienceSoft CEO Nick Kurayev Discusses AI Transformation and Microchip Advances With SemiWiki

ScienceSoft’s CEO Nick Kurayev gave an interview to SemiWiki, a global provider of news, research, and discussion forums for semiconductor professionals. In his conversation with SemiWiki founder Daniel Nenni, Nick reflected on how regulated sectors are approaching artificial intelligence (AI) adoption, where he sees the biggest opportunities and hurdles, and how advances in microchips are shaping the pace and economics of AI transformation.

Nick discussed how the rapid development of generative and agentic AI is changing the scope of enterprise AI initiatives. He stressed that companies increasingly look beyond isolated AI tools and consider how AI can support broader operational transformation.

“Clients increasingly come to us for strategic support and with strategic questions: where can AI materially change our bottom line or operating model, which processes should we transform first, and how far can we safely automate?”

Speaking about AI adoption in healthcare, insurance, and investment management, Nick noted that these industries have “almost ideal conditions for AI — and at the same time some of the hardest conditions for deploying it.” He emphasized the requirements for accuracy, regulatory compliance, data protection, and accountability in AI-supported regulated operations and explained how gradual AI transformation may help address them.

“In ScienceSoft projects for regulated sectors, we normally start small. We give AI a limited role, see how it performs in real work, and gradually give it more responsibility as we become confident that it works. It takes time, but there really isn’t a good shortcut.”

Nick also discussed how advances in semiconductor technology are shaping what’s technically and economically possible with AI. Reflecting on ScienceSoft’s AI work, he shared how the impact of chip improvements varies by industry and why faster hardware doesn’t necessarily translate into faster AI adoption.

“We generally see that the bigger barriers [to AI adoption] sit inside the organization. Companies need to get their data, systems, and processes ready for AI, and that can make the path to AI longer even when better and more available chips are there.”

Nick Kurayev joined ScienceSoft in 1997, when the company was only eight years old. Under his leadership, ScienceSoft has grown thirtyfold, deepened its expertise in regulated industries, and expanded into new AI technology domains.

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With experience in AI engineering since 1989 and IT for regulated sectors since 2005, ScienceSoft helps healthcare, insurance, and investment organizations design and implement practical AI transformation programs.

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