AI 붐이 반도체와 데이터센터를 물리적 한계까지 밀어붙이면서, 고성능·친환경 소재의 역할이 그 어느 때보다 중요해지고 있습니다. 시엔스코(Syensqo)는 AI 에이전트로 수백만 개의 분자 조합을 디지털 합성·검증해 소재 개발 속도를 획기적으로 높이고 있으며, AI가 소재를 발전시키고 그 소재가 다시 AI 인프라를 강화하는 선순환을 전망하고 있습니다.
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후원 콘텐츠 – Syensqo 제휴
AI 붐이 이제 소재 과제로 이어지고 있습니다. AI가 컴퓨팅을 새로운 영역으로 밀어붙이면서, 그 인프라를 뒷받침하는 소재가 그 위에서 작동하는 알고리즘만큼 중요해지고 있습니다. 반도체와 데이터센터는 성능, 열관리, 전기 효율, 신뢰성 측면에서 물리적 한계에 다가가고 있으며, 이는 여러 요구를 동시에 충족하는 소재에 대한 새로운 수요를 만들어내고 있습니다. 동시에 AI는 소재 과학자들에게 가능한 분자의 거대한 탐색 공간을 훑고 솔루션 개발을 가속화할 새로운 방법을 제공하고 있습니다.
Syensqo의 최고기술혁신책임자(CTIO) 겸 북미 총괄인 마이크 피넬리(Mike Finelli)에게 이러한 융합은 첨단 소재가 가능케 하는 것의 지평을 바꾸고 있습니다. "AI는 이제 소재 관점에서 반도체와 데이터센터를 물리적 한계까지 밀어붙이고 있다"고 그는 말합니다. 고온 내성, 순도, 전기적 성능, 내화학성, 플라즈마 내성, 장기 안정성 등 요구사항이 쌓이면서 소재는 피넬리가 말하는 '피라미드 정점'을 향해 이동하고 있습니다. 그는 첨단 소재가 AI 혁신을 지원할 뿐 아니라 "실질적으로 무엇이 가능할지를 점점 더 정의하고 있다"고 주장합니다.
이러한 과제는 AI 성장을 뒷받침하는 인프라 전반에서 전개되고 있습니다. Syensqo는 고전압 데이터센터 아키텍처용 소재, 반도체 제조용 첨단 밀봉 소재, 직접 몰입형 냉각(Direct Immersion Cooling)용 유체를 포함한 열관리 솔루션을 개발하고 있습니다. 이러한 혁신 중 일부는 산업 간 경계를 넘을 수도 있습니다. 예를 들어 전기차용으로 개발된 소재는 데이터센터에서 대두되는 더 높은 전압과 에너지 밀도 요구를 해결하는 데 활용될 수 있습니다.
성능의 정의도 변화하고 있습니다. 더 많은 고객이 기술적 요구사항을 충족하면서 환경 영향은 줄이는 소재를 기대하고 있습니다. "우리의 목표는 성능과 지속가능성 사이의 트레이드오프를 없애는 것"이라고 피넬리는 말합니다. 이는 소재 개발이 끝난 후 부가 요구사항으로 지속가능성을 다루는 것이 아니라, 연구 과정의 처음부터 지속가능성을 고려한다는 의미입니다.
AI는 소재 발견 방식도 바꾸고 있습니다. Syensqo는 AI 에이전트를 활용해 수백만 개의 잠재적 분자 조합을 디지털 방식으로 합성하고, 그 성능과 지속가능성 특성을 예측한 뒤, 실험실 테스트가 필요한 훨씬 작은 그룹으로 좁히고 있습니다. 그 결과 과학자들이 복잡한 엔지니어링 문제를 해결할 시간을 더 확보하면서 "더 넓고, 더 깊고, 더 빠르게" 나아갈 수 있다고 피넬리는 말합니다.
미래를 내다보며 피넬리는 강화 순환의 가능성을 제시합니다. AI가 AI 인프라를 개선하는 소재를 개발하고, 그 소재가 다시 더 나은 AI를 가능하게 하여 소재 발견을 가속화하는 것입니다. 이 피드백 루프는 혁신의 순환을 만들며 미래 기술이 달성할 수 있는 것의 폭을 넓힐 수 있습니다. "결국 가속화된 소재 혁신의 순환에 도달하게 된다"고 피넬리는 말합니다. "이 점이 정말 나를 설레게 하고, 미래를 형성할 기술을 계속 가능케 할 기회를 준다."
이번 에피소드의 Business Lab은 Syensqo와 제휴하여 제작되었습니다.
전체 스크립트:
메건 테이텀(Megan Tatum): MIT 테크놀로지 리뷰의 메건 테이텀입니다. Business Lab은 실험실에서 시장으로 나오는 신기술을 비즈니스 리더가 이해하도록 돕는 쇼입니다. 이번 에피소드는 Syensqo와 제휴하여 제작되었습니다. AI 발전의 핵심 동력을 꼽으라면 많은 이들이 알고리즘, 데이터센터, 컴퓨팅 파워를 떠올리겠지만, 그 혁신의 모든 층을 뒷받침하는 첨단 소재 역시 성능만큼이나 결정적입니다. AI가 계속 발전하면서 반도체와 데이터센터를 새로운 물리적 한계로 밀어붙이고, 첨단 소재 산업에도 이 보폭에 맞추라는 압박이 커지고 있습니다. 하지만 이 관계는 쌍방향입니다. 이 산업이 이 과제에 부응하는 가운데, AI는 또한 강력한 도구로 부상하고 있습니다.
Sponsored In partnership with Syensqo The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do more at once. At the same time, AI is giving materials scientists new ways to search the enormous universe of possible molecules and accelerate the development of solutions. For Mike Finelli, chief technology and innovation officer and chief North America officer at Syensqo, that convergence is transforming what advanced materials can enable. “AI is now, from a material standpoint, really pushing semiconductors and the data centers to their physical limits,” he says. As requirements accumulate, including high temperature, purity, electrical performance, chemical resistance, plasma resistance, and long-term stability, materials move toward what Finelli calls the “top of the pyramid.” Beyond supporting AI innovation, he contends that advanced materials are “actually increasingly defining what's going to be possible.” That challenge is playing out across the infrastructure powering the AI surge. Syensqo is developing materials for high-voltage data center architectures, advanced sealing materials for semiconductor manufacturing, and thermal-management solutions including fluids for direct immersion cooling. Some of those innovations can also cross industry boundaries. Materials developed for electric vehicles, for example, can help address the higher voltage and energy-density demands that are emerging in data centers. The definition of performance is also changing. More customers are expecting materials to meet technical requirements while reducing environmental impact. “Our goal is to remove the trade-off between performance and sustainability,” Finelli says. That means considering sustainability at the beginning of the research process instead of treating it as an additional requirement once a material has been developed. AI is changing how those materials are discovered, too. Syensqo is using AI agents to digitally synthesize millions of potential molecular combinations, predict their performance and sustainability characteristics, and narrow them to a much smaller group for laboratory testing. The result, Finelli says, is the ability to go “broader, deeper, and faster” while giving scientists more time to solve complex engineering problems. Looking to the future, Finelli sees the possibility of a reinforcing cycle: AI helps develop materials that improve AI infrastructure, which in turn enables better AI to accelerate materials discovery. That feedback loop could create a cycle of innovation and expand what future technologies can achieve. “You end up in this accelerated materials, innovative cycle of materials innovation,” says Finelli. “That really excites me, and it gives us the opportunity to continue enabling technologies that will shape the future.” This episode of Business Lab is produced in partnership with Syensqo. Full Transcript: Megan Tatum: From MIT Technology Review, I'm Megan Tatum, and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace. This episode is produced in partnership with Syensqo. Now asked to name the key enablers to AI advancement, many of us might list algorithms, data centers, or even computing power, but just as critical to the performance are the advanced materials that underpin each layer of that innovation. As AI continues to evolve, it's pushing the likes of semiconductors and data centers to new physical limits, putting new pressure on the advanced material sector to keep pace. But the relationship goes both ways. As the sector rises to this challenge, AI is also emerging as a powerful tool for accelerating materials discovery and development, significantly shortening development timelines for new solutions. Two words for you: materials innovation. My guest today is Mike Finelli, chief technology and innovation officer and chief North America officer at Syensqo. Welcome, Mike. Mike Finelli: Thank you, Megan. Nice to be here. Megan: Thank you so much for joining us. Mike, can I start by asking you to tell us a little bit more about Syensqo and the role it plays in developing advanced materials? Mike: Yeah, absolutely. Syensqo is a global leader in specialty materials. Our job is to help customers solve their toughest technology challenges. We serve a lot of different markets, but the way I like to say it simply is if it flies, we're on it. If it drives, we're in it. In healthcare, our products literally are saving lives every day. And if you like your mobile devices, if you like AI, it's our products that are actually enabling the advanced semiconductor chips that are required to produce all of this. Our role is to enable innovation through advanced chemistry. We develop materials that deliver higher performances, greater reliability, and increasingly more sustainable solutions. The way I would say this, it's at the heart of our business. Actually, it's in our name, Syensqo. And to put some numbers around it, 20% of our annual revenues come from new products and applications that we've launched in the last five years, which is really evidence of a really strong innovation engine. Megan: Yeah, absolutely. And as you sort of described there, you're in all sorts of different industries with an emphasis perhaps on electronics and semiconductors. Can you talk a bit more about that work and where those industries are headed perhaps? Mike: Sure. So look, electronics and semiconductors have been strategic markets for Syensqo for literally decades. I don't want to date myself, but 33 years ago when I started in the company, semiconductors were one of the first industries that I worked in. And we've supported successive waves of innovation from enabling smaller, more powerful mobile devices, helping the industry get to the smaller and smaller profiles and the chips. We've helped to advance hyperconnectivity, supporting increasingly sophisticated semiconductor manufacturing. And today we're helping to advance the AI era. We have one of the industry's broadest portfolios of high performance polymers and advanced materials. We support applications across the entire electronics value chain from semiconductor fabrication, electronic components, to smart devices and telecommunications, even hyperconnectivity. And our materials are helping customers solve increasingly demanding challenges around miniaturization, thermal management, electrical performance, chemical resistance, higher and higher purities, and long-term reliability and sustainability. And today we work with leading semiconductor manufacturers and electronics companies all around the world. Megan: Fantastic. And as you alluded to there in the last 30 years, we've seen huge evolutions in those sectors. Mike: Oh my God, yes. Megan: And now AI is putting these new demands on semiconductors and data centers. What does that mean for the materials they're built from and to what extent will AI innovation be constrained or enabled by materials science finding a solution? Mike: Yeah, so I mean, you're absolutely right. But AI is now, from a material standpoint, really pushing semiconductors and the data centers to their physical limits, and materials are becoming a key enabler of that continued progress. The way I try to describe it, think of a pyramid, I call it the performance pyramid. You have commodity materials at the bottom of the pyramid and you have high performing specialty materials at the top of the pyramid. At Syensqo, all we do is we operate at the top of the pyramid and we're continually trying to raise the top of that pyramid by bringing newer and newer and more