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Rise Of Agentic AI, Scalable Enterprise AI And Sovereign AI Key Trends In 2025

Organisations are increasingly prioritising tangible return-on-investment and business value from their artificial-intelligence initiatives.

<div class="paragraphs"><p>Dell Technologies has released its artificial-intelligence predictions for 2025 (Image source: rawpixel.com/ Freepik)</p></div>
Dell Technologies has released its artificial-intelligence predictions for 2025 (Image source: rawpixel.com/ Freepik)

Dell Technologies has released its artificial-intelligence predictions for 2025 and as part of this, sees the following:

  • Agentic AI architecture will revolutionise human-computer interaction, driving a shift from passive tools to autonomous agents.

  • Enterprises will scale AI implementation strategically, focusing on high-impact areas and building reusable AI foundations.

  • Sovereign AI initiatives will accelerate global AI adoption, empowering nations to leverage their own data and infrastructure.

  • AI's convergence with emerging technologies like quantum computing, intelligent edge, and Zero Trust security will unlock unprecedented innovation.

  • AI fluency will become an essential skill, transforming the job market and requiring workforce development.

"No matter which technology you explore today, there is a connective tissue into the AI ecosystem," said John Roese, global chief technology officer and chief AI officer at Dell Technologies.

"Every technology is now either enabling AI or is enabled by AI. We are evolving from static and reactive AI to a more dynamic, autonomous, interactive and profound set of tools that will allow us to go beyond what we have been able to do so far," Roese said.

The Rise Of Agentic AI Architecture

Roese predicted that Agentic AI signifies a paradigm shift in human-AI interaction. "The word of 2025 will be Agentic. It is a defining advancement in AI technology and will be a catalyst for significant progress in how we approach AI architecturally."

The maturation of generative AI is giving rise to sophisticated AI agents capable of autonomous operation, natural language communication, and seamless collaboration with both humans and AI agents. These specialised agents will possess a diverse range of skills, transforming industries and revolutionising workflows.

Peter Marrs, president of Asia Pacific, Japan and Greater China at Dell Technologies, echoed this sentiment "APJ is experiencing rapid advancements in AI readiness and deployment, fuelled by substantial investments projected to reach $110 billion by 2028," he said. "This growth is evident in the burgeoning AI-ready data centre market across the APJ region."

Strategies For Scaling Enterprise AI success

Organisations are increasingly prioritising tangible return-on-investment and business value from their AI initiatives, often establishing dedicated AI committees led by chief AI officers. This pragmatic approach is reflected in the rising success rates of GenAI pilot projects.

"In our view, 2025 will be the year when we see enterprise AI truly scale and get into full production," said Roese.

Marrs pointed to the financial services sector in APJ, where organisations are increasingly leveraging AI for fraud detection and deploying digital humans for customer service, as an example of more mature AI adoption. Conversely, some healthcare providers are still focused on building the foundational infrastructure and data management capabilities needed to support AI-driven diagnostic tools and streamlined patient care.

Embracing Sovereign AI For Localised Innovation

A key trend highlighted by Roese was the rise of Sovereign AI efforts by countries to create localised AI ecosystems aligned with their culture, language, and data security needs. He explained that this concept focuses on a nation's ability to generate AI value and differentiation using its own infrastructure and data, fostering ecosystems that reflect local intellectual property and priorities.

He noted diverse approaches to Sovereign AI. Some are building national AI resources that serve both government and private sectors by providing access to compute power and data capacity. Others are pursuing collaborative strategies where governments, rather than creating infrastructure, encourage private industries to modernise and lead AI ecosystems through proactive co-design.

Convergence Of AI Technologies

"AI's true potential lies in its connections with other emerging technologies," Roese stated, highlighting the synergistic potential of combining AI with advancements in areas like quantum computing, intelligent edge, Zero Trust security, 6G technologies, and digital twins.

The combined power of quantum computing and AI will be a game-changer for numerous industries. It will provide the necessary computing power to apply AI to complex fields like material science, drug discovery, and optimisation problems, areas where traditional computing methods face limitations.

The AI Evolution Reshaping The Workforce

Roese's vision for the future of work emphasised the transformative impact of AI on the job market, requiring organisations to invest in developing their workforce's AI fluency. As AI agents handle more routine tasks, human roles will evolve to focus on higher-level strategic thinking, creative problem-solving, and complex decision-making.

"AI is creating these new high-level jobs and is a catalyst for dramatic investment into infrastructure with an enormous positive impact on job creation," Roese noted. "We know that there are going to be basic jobs that AI can do easily and repeatedly. However, the exciting part is that there are new jobs being created everywhere — software composers, AI interpreters and thermal plumbers to name a few."

Marrs acknowledged that the talent and resource gaps in APJ highlighted the urgent need for AI skills development in the region. The future of AI hinges on collaboration — between humans and AI, and between organisations and their technology partners.

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