
While the year winds down, the pace of artificial intelligence hasn’t slowed; it’s simply become more strategic. From data centres and smart cities to education policy and enterprise adoption, these updates may not all be flashy, but they are foundational.
In a move that could reshape the backbone of modern AI infrastructure, Nvidia announced its acquisition of SchedMD, the developer behind the open-source Slurm workload manager that schedules massive computing jobs across clusters of GPUs. This isn’t just about buying software; it’s Nvidia positioning itself as the steward of the plumbing that makes AI at scale possible, from training giant models to powering hyperscale data centres. Importantly, Nvidia has pledged to keep Slurm open source, signalling a bet on community-driven innovation even as competition heats up.
Across the Atlantic, Europe is steering the AI conversation toward responsible adoption and pedagogy. On 22 December 2025, Ireland’s Higher Education Authority (HEA) published a National Policy Framework on Generative AI in Teaching and Learning, designed to give universities a coherent set of principles - from equity and academic integrity to critical engagement and human oversight - as they integrate AI into curricula, assessments, and classroom practice.
Beyond software and policy, AI is advancing in physical realms too, particularly in urban planning and automation. Malaysia has unveiled ambitious investments in AI and robotics for smart cities, marrying data-driven platforms with robotic services to improve public infrastructure and service delivery in emerging urban centres. As city populations grow, AI-enabled robotics and analytics are no longer just buzzwords but are becoming practical tools for handling everything from transport efficiency to public safety.
AI is no longer confined to software; it’s reshaping the way we design, build, and scale physical infrastructure. A flurry of recent analysis shows that the AI arms race is also a construction race, as demand for data centres and specialised facilities continues to skyrocket. With the shift from abstract algorithms to real-world deployment, the construction industry is now a major beneficiary of AI-related investment and growth - from cooling systems for mega-server farms to new physical campuses dedicated to research and development.
Even as headlines speculate about an “AI bubble,” the enterprise world is proving sceptics wrong with robust adoption. Salesforce, for instance, quietly added 6,000 enterprise customers leveraging its AI platform in just three months, generating substantial revenue while the broader market debates valuation. This signals that AI is becoming an indispensable tool for productivity and digital transformation across sectors.
1. https://www.reuters.com/business/nvidia-buys-ai-software-provider-schedmd-expand-open-source-ai-push-2025-12-15
2. https://www.teachingandlearning.ie/2025/12/22/hea-publishes-national-policy-framework-on-generative-ai-in-teaching-and-learning
3. https://opengovasia.com/malaysia-advances-smart-cities-with-ai-and-robotics-integration
4. https://thenewstack.io/the-ai-competition-is-now-a-high-stakes-construction-race
5. https://venturebeat.com/technology/while-everyone-talks-about-an-ai-bubble-salesforce-quietly-added-6-000