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China Ranks First In The World In AI Patents

More patents related to generative artificial intelligence have been filed by China every year since 2017 than by the rest of the world, the World Intellectual Property Organization (WIPO) reported to the United Nations in Geneva, DPA reported. Examples include artificial intelligence applications such as ChatGPT or Gemini .

KEY FACTS

  • According to WIPO, Chinese companies and institutes registered over 38,000 patents in the field of generative AI in the 10 years to 2023.
  • Far behind is the US with 6,300, followed by South Korea, Japan and India. Britain is in fifth place with 714, closely followed by Germany with 708, which WIPO says has registered more patents than the UK in recent years.
  • The increase in patent applications worldwide also shows that the sector is booming. According to WIPO, there were a total of 54,000 patent applications in the field of generative AI between 2014 and 2023, but over a quarter of those were filed in the past year alone.

KEY QUOTE

“Generative AI has emerged as a game-changing technology with the potential to transform the way we work, live and play,” said WIPO Director General Darren Tang.

Blue-Collar Renaissance: AT&T’s Bold Strategic Shift In The AI Era

The American labour market is undergoing a significant shift as employers increasingly prioritise technical and practical skills alongside the rapid expansion of artificial intelligence across industries. Companies, including AT&T are expanding recruitment efforts focused on skilled technicians rather than relying primarily on traditional four-year degree pathways, reflecting broader changes in workforce demand.

Blue-Collar Talent: The New Engine Of Growth

From infrastructure installation to electrical systems and photonics, employers are increasingly searching for workers with specialised hands-on expertise. AT&T Chief Executive Officer John Stankey recently said the company’s future growth will depend heavily on recruiting workers with practical technical skills. Other major companies, including Nvidia and JPMorgan Chase, are also placing greater emphasis on technical and trade-related roles as artificial intelligence reshapes labour needs.

Recalibrating The American Dream

For decades, a university degree was widely viewed as the primary path toward economic mobility in the United States. The growing adoption of AI across business operations, however, is changing hiring patterns and reducing demand for some traditional entry-level white-collar roles. At the same time, rising tuition costs and growing student debt have intensified debates around the long-term economic value of conventional higher education pathways.

Transforming Entry-Level Career Paths

Recent labour market data point to widening differences between employment trends in blue-collar and white-collar sectors. While graduates entering industries vulnerable to automation are facing slower hiring conditions, demand for infrastructure and construction-related roles linked to data centres and energy projects continues growing. Industry leaders increasingly argue that future entry-level roles will favour workers capable of combining technical expertise with the ability to manage and work alongside AI systems.

Investing In The Future: Training And Retention

AT&T recently announced plans to invest $250 billion in expanding its fibre network infrastructure. The company said around 15% of the investment will support hiring and training programmes focused on developing skilled technical workers. The initiatives come as the United States continues facing shortages across several skilled trades, with the U.S. Department of Education previously warning that millions of related positions could remain unfilled by 2030.

A New Era For American Work

The shift in hiring priorities is prompting broader discussions around the relationship between academic credentials and workforce readiness. As employers increasingly recognise alternative career pathways, educational institutions and companies are reassessing how technical training, apprenticeships and digital skills programmes fit into the future labour market. Industry experts say workers capable of combining practical expertise with AI-supported workflows are likely to become increasingly valuable as automation continues to reshape the economy.

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