U.S. PPI wholesale prices rose 0.2% in August 2024

U.S. PPI data

In August 2024, wholesale prices saw an increase that was roughly in line with expectations, marking the final inflation data point before the Federal Reserve’s anticipated interest rate cut due on 18th September 2024

The Bureau of Labor Statistics announced on Thursday 12th September 2024 that the producer price index (PPI), which measures the prices received by producers for goods and services for final demand, increased by 0.2% for the month, matching the consensus estimate.

Excluding food and energy, the PPI experienced a 0.3% increase, slightly above the 0.2% consensus estimate. This core increase persisted even when trade services were removed from the calculation.

UK says data centres are critical infrastructure and are designated as important as the power grid and the NHS

Critical data centres UK

UK data centres are set to be classified as critical national infrastructure (CNI), aligning them with sectors such as emergency services, finance, healthcare, and utilities

This classification will ensure they receive additional government support during major incidents like cyber-attacks, IT outages, or severe weather, to reduce disruption.

Data centres, large warehouses filled with extensive computer banks, are the backbone of services like AI applications, data processing, and streaming. Despite facing criticism for their energy and water usage, the new Labour government supports the industry, with Technology Secretary Peter Kyle referring to data centres as ‘the engines of modern life.’

Currently, the UK recognises 13 sectors as critical national infrastructure, a list last revised nine years ago with the addition of space and defence.

The 13 Critical National Infrastructure Sectors

  1. Chemicals
  2. Civil Nuclear
  3. Communications
  4. Defence
  5. Emergency Services
  6. Energy
  7. Finance
  8. Food
  9. Government
  10. Health
  11. Space
  12. Transport
  13. Water

British Technology Minister Peter Kyle announced on Thursday 12th September 2024 that UK data centres will be designated as ‘Critical National Infrastructure’ (CNI). This status, typically reserved for essential national sectors like nuclear power, provides data centre operators with a direct communication channel to the government for threat preparation and response.

Furthermore, the government has expressed support for a proposed £3.75 billion data centre by UK company DC01UK in Hertfordshire, England, which is projected to be the largest in Europe upon completion.

The AI Race between China and the U.S.

AI development in China and U.S.

Artificial Intelligence (AI) has become a pivotal battleground in the technological race between China and the United States.

“AI is expected to become a crucial component of economic and military power in the near future,” Stanford University’s Artificial Intelligence Index Report 2023 stated.

Both countries are significantly investing in AI research and development, striving to achieve a leading role in this revolutionary sector. This post looks at the major figures in China’s AI scene, their progress, and their comparison with their American counterparts.

China’s AI Landscape

China’s AI aspirations are propelled by a number of significant technology firms, each forging their own AI models and applications.

Baidu: Often referred to as the ‘Google of China,’ Baidu leads in AI development. Its premier AI model, ERNIE (Enhanced Representation through Knowledge Integration), fuels the Ernie Bot, a chatbot aimed to compete with OpenAI’s ChatGPT. Baidu asserts that ERNIE 4.0 matches GPT-4’s capabilities, demonstrating sophisticated understanding and reasoning abilities.

Alibaba: Alibaba’s AI model, Tongyi Qianwen (commonly known as Qwen), is a comprehensive set of foundational models adept at a range of tasks, from generating content to solving mathematical problems. Select versions of Qwen are open-source, enabling developers to utilize and modify them for various uses. Alibaba has announced that Qwen models are in use by over 90,000 enterprise clients.

Tencent: The Hunyuan model from Tencent is a prominent component of China’s AI landscape. Offered through Tencent’s cloud computing division, Hunyuan is tailored to facilitate a broad spectrum of applications, encompassing natural language processing and computer vision.

Huawei: In spite of considerable obstacles stemming from U.S. sanctions, Huawei persists in AI innovation. The firm has created its own AI processors, like the Kunlun series, to diminish dependence on international technology. Huawei’s AI features are incorporated into a diverse array of products, including smartphones and cloud solutions.

Comparison to the U.S.

The U.S. continues to be a dominant force in AI, with leading companies such as OpenAI, Microsoft, Google, Anthropic and Meta spearheading advancements.

Generative AI: U.S. firms have advanced significantly in generative AI, with OpenAI’s GPT-4 and Google’s Gemini at the forefront. These models excel in creating text, images, and videos from user inputs. Although Chinese models like ERNIE and Qwen are strong contenders, the U.S. maintains a slight lead in capabilities and market penetration.

Semiconductor Design: The U.S. leads the semiconductor design industry, vital for AI progress. U.S. companies command an 85% global market share in chip design, crucial for AI model training and system operation. China’s dependence on imported semiconductors is a notable obstacle, but there are ongoing efforts to create homegrown solutions.

Research and Innovation: Both nations boast strong AI research sectors, yet the U.S. edges out slightly in generating state-of-the-art AI products. U.S. tech giants frequently introduce AI breakthroughs to the market, with Chinese firms quickly gaining ground.

Government Support: The Chinese government ardently backs AI advancement, enacting strategies to spur innovation and lessen foreign tech reliance. Such support has spurred China’s AI industry’s rapid expansion, positioning it as a strong rival to the U.S.

Conclusion

The competition in AI development between China and the U.S. is escalating, as both countries achieve significant breakthroughs. Although the U.S. maintains a marginal lead in some respects, China’s swift advancement and state backing indicate that the disparity might keep closing. The quest for AI dominance by these nations is set to influence the worldwide technological and innovative landscape profoundly.

As of September 2024, it is estimated that China’s AI development is approximately nine months behind that of the U.S.