AI, Edge, and Power: Key Takeaways from MWC Panel Discussion
At Mobile World Congress 2025 in Barcelona, the discussion around edge computing, data centers, and AI took center stage, and I had the honor of moderating an engaging panel featuring leaders from Ansys, Ampere, and Rebellions.
Ansys CTO Jayraj Nair, Ampere Chief Product Officer Jeff Wittich, and Rebellions CEO Sunghyun Park shared valuable insights on the evolving landscape of AI, hardware innovation, and the challenges of modern computing.
According to Sunghyun, 2025 is shaping up to be a pivotal year for the widespread adoption of generative AI, especially in the enterprise sector. As AI continues to evolve, the focus is shifting from AI R&D to the practical implementation of AI in business operations, with a strong emphasis on inference.
Meanwhile, Ampere has been focused on solving the power challenges associated with AI’s increasing presence in cloud and data centers, as well as at the edge and endpoint devices. As AI models expand, so too does the need for more efficient hardware that can deliver high performance while managing power and space constraints. Jeff pointed out that these challenges aren’t limited to data centers, but are also now pervasive in telco environments, where AI models are also deployed.
With advances in simulation engineering, companies like Ansys are helping accelerate AI adoption. Their work enables faster, more efficient design of critical factors, such as signal integrity, power integrity, and thermal performance across multi-scale models. As chiplet architectures and multilayer designs become more common, simulation tools will help engineers address challenges, such as voltage drops and thermal stress, which can negatively impact performance. This multi-physics simulation engineering ensures that silicon can handle the demands of AI-driven systems.
As the conversation continued, the panelists highlighted a major turning point for AI adoption in 2025: its seamless integration into all enterprise applications. Rather than users actively seeking out AI tools, AI will become an invisible force running in the background, embedded in everyday software. As AI-powered systems work behind the scenes to enhance productivity, it will increasingly rely on autonomous, machine-to-machine interactions, reducing human involvement. This shift will fuel tremendous demand for AI hardware and software across industries.
Jeff emphasized the need for collaboration and open-source technologies. He pointed out that without strong partnerships, progress in AI and silicon would be limited. The discussion highlighted how AI ecosystems require integrated efforts to keep pace with technological advancements.
Jayraj stressed the importance of academic partnerships in shaping the next generation of engineers. As AI hardware and software become more complex, specialized curriculum is essential for preparing future tech leaders.
The conversation then shifted to the global stage, particularly the geopolitical implications of AI investments. The EU’s $200 billion InvestAI initiative raised important questions about the risks and opportunities of such investments. While Sunghyun acknowledged uncertainties in global dynamics, he emphasized the importance of collaborating to secure second-source technologies and ensure resilience in the supply chain.
Looking ahead, the panel agreed that power efficiency and sustainability would remain significant challenges. As AI models grow, the demand for energy will rise, but innovations in low-power CPUs and efficient hardware will help address these issues. Despite the hurdles, the panelists were optimistic about the future, envisioning a world where AI is seamlessly integrated into every device and workload, transforming industries worldwide.
So, what’s the TechArena take? The future of AI is unfolding, and the path ahead is filled with opportunity.
For a deeper dive into the topics we discussed, watch the video here.
At Mobile World Congress 2025 in Barcelona, the discussion around edge computing, data centers, and AI took center stage, and I had the honor of moderating an engaging panel featuring leaders from Ansys, Ampere, and Rebellions.
Ansys CTO Jayraj Nair, Ampere Chief Product Officer Jeff Wittich, and Rebellions CEO Sunghyun Park shared valuable insights on the evolving landscape of AI, hardware innovation, and the challenges of modern computing.
According to Sunghyun, 2025 is shaping up to be a pivotal year for the widespread adoption of generative AI, especially in the enterprise sector. As AI continues to evolve, the focus is shifting from AI R&D to the practical implementation of AI in business operations, with a strong emphasis on inference.
Meanwhile, Ampere has been focused on solving the power challenges associated with AI’s increasing presence in cloud and data centers, as well as at the edge and endpoint devices. As AI models expand, so too does the need for more efficient hardware that can deliver high performance while managing power and space constraints. Jeff pointed out that these challenges aren’t limited to data centers, but are also now pervasive in telco environments, where AI models are also deployed.
With advances in simulation engineering, companies like Ansys are helping accelerate AI adoption. Their work enables faster, more efficient design of critical factors, such as signal integrity, power integrity, and thermal performance across multi-scale models. As chiplet architectures and multilayer designs become more common, simulation tools will help engineers address challenges, such as voltage drops and thermal stress, which can negatively impact performance. This multi-physics simulation engineering ensures that silicon can handle the demands of AI-driven systems.
As the conversation continued, the panelists highlighted a major turning point for AI adoption in 2025: its seamless integration into all enterprise applications. Rather than users actively seeking out AI tools, AI will become an invisible force running in the background, embedded in everyday software. As AI-powered systems work behind the scenes to enhance productivity, it will increasingly rely on autonomous, machine-to-machine interactions, reducing human involvement. This shift will fuel tremendous demand for AI hardware and software across industries.
Jeff emphasized the need for collaboration and open-source technologies. He pointed out that without strong partnerships, progress in AI and silicon would be limited. The discussion highlighted how AI ecosystems require integrated efforts to keep pace with technological advancements.
Jayraj stressed the importance of academic partnerships in shaping the next generation of engineers. As AI hardware and software become more complex, specialized curriculum is essential for preparing future tech leaders.
The conversation then shifted to the global stage, particularly the geopolitical implications of AI investments. The EU’s $200 billion InvestAI initiative raised important questions about the risks and opportunities of such investments. While Sunghyun acknowledged uncertainties in global dynamics, he emphasized the importance of collaborating to secure second-source technologies and ensure resilience in the supply chain.
Looking ahead, the panel agreed that power efficiency and sustainability would remain significant challenges. As AI models grow, the demand for energy will rise, but innovations in low-power CPUs and efficient hardware will help address these issues. Despite the hurdles, the panelists were optimistic about the future, envisioning a world where AI is seamlessly integrated into every device and workload, transforming industries worldwide.
So, what’s the TechArena take? The future of AI is unfolding, and the path ahead is filled with opportunity.
For a deeper dive into the topics we discussed, watch the video here.
