AI Research
Enterprises will strengthen networks to take on AI, survey finds
- Private data centers: 29.5%
- Traditional public cloud: 35.4%
- GPU as a service specialists: 18.5%
- Edge compute: 16.6%
“There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.”
AI networking challenges
The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders.
According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included:
- Integration between AI network and legacy networks: 43%
- Bandwidth demand: 41%
- Coordinating traffic flows of synchronized AI workloads: 38%
- Latency: 36%
WAN issues respondents shared included:
- Complexity of workload distribution across sites: 42%
- Latency between workloads and data at WAN edge: 39%
- Complexity of traffic prioritization: 36%
- Network congestion: 33%
“It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.”
Enterprise leaders intend to invest in infrastructure to support their AI workloads and strategies. According to EMA, planned infrastructure investments include high-speed Ethernet (800 GbE) for 75% of respondents, hyperconverged infrastructure for 56% of those polled, and SmartNICs/DPUs for 45% of surveyed network professionals.
AI Research
The Media and I: Artificial Intelligence
Lars and I discussed the role of AI in education and beyond, starting with a nostalgic nod to calculators and slide rules.
When I spoke with Lars recently, I emphasized the critical balance between using tools like AI and actually learning how to think, reason, and create. We touched on the incredible capabilities of AI, raising exciting possibilities and serious concerns. For example, AI-driven customer service can be frustratingly impersonal—I yelled at one for eight minutes earlier that day just trying to reach a human. In education, some elite universities are already requiring handwritten essays again, like with Blue Books, to preserve that integrity. However, as I have written previously about AI and medicine, it has the potential to increase accessibility and the quality of care.
You can find the whole conversation here.
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AI Research
China produces more AI research than US, UK and EU combined
China led the world in artificial intelligence research in 2024, producing the largest volume of publications after developing a “nationwide innovation ecosystem”, according to a new report.
Despite rising geopolitical tensions, China was also the top AI research collaborator for the US, UK and European Union.
The study, DeepSeek and the New Geopolitics of AI: China’s ascent to research pre-eminence in AI, is published by research technology company Digital Science and authored by its chief executive, Daniel Hook.
The analysis used global data from its Dimensions database, covering research publication and collaboration trends from 2000 to 2024.
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It says that AI research has grown at an “impressive rate” globally, expanding from just under 10,000 publications in 2000 to 60,000 in 2024.
China was found to be “the pre-eminent world power in AI research,” leading not only by research volume but also by “citation attention, and influence,” with its lead over the rest of the world growing rapidly over the past seven years.
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In 2024, China’s publication output in AI research matched the combined output of the US, UK and EU, while its share of global citation attention exceeded 40 per cent.
Despite political tensions, the report finds that China has become the strongest AI research collaborator for the US, UK and EU, while itself needing “less reciprocal collaboration than any of them”.
China is also said to have the largest AI talent pool, with 30,000 active researchers and a large student and postdoctoral population, supporting what the report calls a “nationwide innovation ecosystem”.
The report highlights that 156 Chinese institutions each published more than 50 AI papers in 2024, contrasting with the more clustered research hubs in the West.
Alongside academic research, China also dominated AI-related patents. Patent filings and company-affiliated AI research showed China outpacing the US tenfold in some indicators, according to the report, reflecting the country’s ability to translate research into innovation.
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Hook argued that AI had become a “strategic asset, akin to energy or military capability”, adding that “China is actively leveraging this advantage”.
He added: “Governments need to understand the local, national and geostrategic implications of AI, with the underlying concern that lack of AI capability or capacity could be damaging from economic, political, social and military perspectives.”
The release of the DeepSeek chatbot in January 2025 was cited as one example of China’s emerging capabilities.
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“The emergence of DeepSeek is not merely a technological innovation – it is a symbol of a profound shift in the global AI landscape,” Hook said.
He described DeepSeek as demonstrating “China’s technological independence”, calling it a “cost-efficient, open-source LLM” that showed the country’s ability to “innovate around US chip restrictions and dominate AI development at scale”.
The report also describes the UK as “small but globally impactful”, saying that despite its modest size, the country consistently punches above its weight in “attention-per-output metrics”.
The EU, by contrast, “risks falling behind in translation and visibility.”
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The report says that while the EU benefits from strong internal collaboration, it “shows weaker international collaboration beyond its borders and struggles to convert research into applied outputs (patents, for example), raising concerns about its future AI competitiveness”.
AI Research
China outpacing rest of the world in AI research – report
China is outpacing the rest of the world in artificial intelligence research at a time when AI is becoming a “strategic asset” akin to energy or military capability, according to a report from research technology company Digital Science.
The report – entitled DeepSeek and the New Geopolitics of AI: China’s ascent to research pre-eminence in AI – has been authored by Digital Science CEO Daniel Hook based on data from Dimensions, the world’s largest and most comprehensive database describing the global research ecosystem.
The news comes just a day after a report from Clarivate revealed that China is also leading the way in research output across G20 nations.
Dr Hook has analysed AI research data from the year 2000 to 2024, tracking trends in research collaborations and placing these within geopolitical, economic, and technological contexts. His report says AI research has grown at an “impressive rate” globally since the turn of the millennium – from just under 10,000 publications in 2000, to 60,000 publications in 2024.
Dr Hook’s key findings include:
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China has become the pre-eminent world power in AI research, leading not only by research volume, but also by citation attention, and influence, rapidly increasing its lead on the rest of the world over the past seven years.
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The US continues to have the strongest AI start-up scene, but China is catching up fast.
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In 2024, China’s AI research publication output matched the combined output of the US, UK, and European Union (EU-27), and now commands more than 40% of global citation attention.
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Despite global tensions, China has become the top collaborator for the US, UK, and EU in AI research, while needing less reciprocal collaboration than any of them.
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China’s AI talent pool dwarfs its rivals – with 30,000 active AI researchers and a massive student and postdoctoral population.
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The EU benefits from strong internal AI collaboration across its research bloc.
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China dominates AI-related patents – patent filings and company-affiliated AI research show China outpacing the US tenfold in some indicators, underscoring its capacity to translate research into innovation.
“AI is no longer neutral – governments are using it as a strategic asset, akin to energy or military capability, and China is actively leveraging this advantage,” Hook says. “Governments need to understand the local, national and geostrategic implications of AI, with the underlying concern that lack of AI capability or capacity could be damaging from economic, political, social, and military perspectives.”
Hook says China is “massively and impressively” growing its AI research capacity. Unlike Western nations with clustered AI hubs, he says China boasts 156 institutions publishing more than 50 AI papers each in 2024, supporting a nationwide innovation ecosystem. In addition, “China’s AI workforce is young, growing fast, and uniquely positioned for long-term innovation.”
He says one sign of China’s rapidly developing capabilities is its release of the DeepSeek chatbot in January this year. “The emergence of DeepSeek is not merely a technological innovation – it is a symbol of a profound shift in the global AI landscape. DeepSeek exemplifies China’s technological independence. Its cost-efficient, open-source LLM demonstrates the country’s ability to innovate around US chip restrictions and dominate AI development at scale.”
The report comments further on the AI research landscape in the US, UK and EU. It says the UK remains “small but globally impactful”. “Despite its modest size, the UK consistently punches above its weight in attention-per-output metrics.”
However, the EU “risks falling behind in translation and visibility”. “The EU shows weaker international collaboration beyond its borders and struggles to convert research into applied outputs (e.g., patents), raising concerns about its future AI competitiveness.”
Discover more in the full report: DeepSeek and the New Geopolitics of AI: China’s ascent to research pre-eminence in AI.
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