Looking into the continuous growth in artificial intelligence and its popularity, Instant Offices have been looking into the future of AI and its impact on the workforce. The study found that The UK stands as the AI leader in Europe, with a market share of 7%. In fact, the uses of artificial intelligence (AI) continues to grow in almost every country in Europe and the race to develop new AI technologies has been dubbed “the new space race”. After already becoming a seamlessly integral part of daily life for most, it’s no wonder why some businesses are turning to AI to supplement the workforce and help rapid business growth.

Instant Offices ’ Head of Marketing, John Williams considers how work life as we know it is set to change.

Which Country Will Automate its White-Collar Workforce First?


Among a whole array of tasks being systematically being replaced by AI workforce, the so-called white-collars roles are the ones more susceptible to be completely take over by machine learning devices. Actually, there are little jobs that are save of being somehow changed by this technology. As pointed out by The New Stack, "Even conservative banks have already begun using AI to help them monitor hundreds of thousands of transactions to keep up with new financial regulations, the Wall Street Journal reported in 2016 — prompting a startling pronouncement from the venerable Harvard Business Review."

“We have to admit that there are some knowledge-work jobs that will simply succumb to the rise of the robots,” was said by the web magazine. 

“They are just too thoroughly composed of work that can be codified into standard steps and of decisions based on cleanly formatted data.”

The following white-collar occupations are among the likeliest to be taken over by AI in the future:

  • Telemarketing 99%
  • Bookkeeping 98%
  • Reception 96%
  • Proofreading 84%
  • IT support 65%


Where Is AI Investment Growing the Fastest?


Where Is AI Investment Growing the Fastest?

  • United States

As the country with the most AI businesses, the US is the global market leader for AI, with a market share of 40%.

  • China

China, the world’s second-largest AI ecosystem with around 11% of all AI companies based in the country, plans to invest at least $7 billion in AI by 2030.

  • Israel

Third in the world for AI solutions, with a market share of 11%

  • United Kingdom

The UK is the AI leader in Europe , with a market share of 7%


“Artificial intelligence will probably replace 50% of human jobs within ten years.” Kai-Fu Lee, former Head of Research for Google, China


Common Office Tasks Making Way for AI


The first wave of AI and machine learning (ML) in the workplace is underway, automation has been making its way from being only used in the service and manual labour industry to also being an integral part of high-skill jobs. In fact, AI is already being used in a number of high-skill white collar professions to automate and improve time-consuming tasks; over two thirds of employees are willing to embrace the growth of AI in the workplace, despite 1.8 million jobs potentially being on the line.

  • Legal: Law firms are using AI to find and review important information and documents.
  • Human Resources: More firms are using AI for recruitment purposes.
  • Customer Service: Instead of human customer service providers, intelligent bots are being used to have online conversations with customers and answer their questions.
  • Medicine: AI is being used to diagnose patients.


Making Way for AI


The second wave of AI in the next ten years will be more focused on white collar jobs, starting with repetitive office tasks. Filing, indexing, document preparation and clerical tasks will become increasingly automated. Advanced AI in the next 30 to 40 years will start to significantly impact higher-skill jobs. Legal and medical professions will also be highly impacted by AI. Beyond the office, we’ll likely also see transport, performing arts and even culinary services changing drastically as machine-based intelligence starts operating on a more sophisticated level.