Technology analyst Gartner claims in a new report that artificial intelligence (AI) will become the biggest technology megatrend of the next decade, suggesting that organisations need to focus their main efforts on AI based technology in the short to medium term. The study suggests that ‘digital business execution’ requires more frequent and complex decision making, continuous problem solving and rapid pattern recognition, all of which require workforce digital dexterity. In most organisations, however, responsibility for helping employees develop the desire and ability to exploit a wide range of transformative technologies — highlighted in the Gartner, Inc. Hype Cycle for Digital Workplace, 2017 — does not have to rest with any group or individual.

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The debate surrounding the threat from artificial intelligence (AI) and automation leading to the loss of jobs has been highly publicised. Most recently, tech titans Elon Musk and Mark Zuckerberg have locked horns over the issue, and PricewaterhouseCoopers (PwC) has estimated that by the early 2030’s 30 percent of British jobs will be lost to automation. Job meta-search engine Joblift has analysed the field of automation and AI in the UK, comparing potential job creation with jobs lost by the early 2030’s. Its meta-analysis based on jobs listings and the research from PwC suggest that newly created positions in the field of AI and automation would only replace around 19 percent of the jobs lost to robotics.

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Google has announced a new initiative that aims to improve the ways humans and artificial intelligence interact in both their personal and professional lives. Called the People + AI Research (PAIR) initiative, The programme will look to ensure that advances in machine learning and technical performance in areas such as speech recognition, image search and translation are better aligned with the needs of people. The project will bring together researchers across Google to study and redesign the ways people interact with AI systems. According to Google, the goal isn’t just to publish research but also create open source tools for experts in the field to use and completely redefine the way we think about artificial intelligence.

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The current framework for governing automation and the management and use of data cannot keep pace with technological advances, according to a new report by the Royal Society and the British Academy. The report calls for the establishment of a new, independent body to steward an overall framework that can safeguard public confidence and ensure that the potential benefits of data use such as improved public services, better healthcare and business innovation are fully realised. The two National Academies convened leading figures from the Sciences, Humanities and Social Sciences to undertake a detailed review of the current governance landscape for data usage and management. Data Management and Use: Governance in the 21st Century found that data usage, data collection and management are increasingly intertwined, and new ways of using data make it difficult to define which data is sensitive.  It found that, while the current governance architecture provides a lot of what is needed to deal with these challenges, there are clear gaps and too many silos, such that tensions between how individual and collective benefits and risks are negotiated are not always identified and addressed in a transparent and inclusive way.

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UK GDP could be around 10 percent higher in 2030 as a result of artificial intelligence (AI) – the equivalent of an additional £232 billion, according to new research by PwC. This makes AI the biggest commercial opportunity in today’s fast-changing economy, according to the report’s authors. The research shows that the majority of the UK’s economic gains over the period to 2030 will come from increasing consumer demand resulting from AI driving a greater choice of products, increased personalisation of those products and making them more affordable over time. Labour productivity improvements will also drive GDP gains, but to a lesser extent. PwC’s research notes that the benefits from labour productivity growth will be felt first, with the increased consumption-led benefits from AI-enhanced products coming through later as more of them come onto the market. As this happens, competition within the AI goods market will increase dramatically, leading to future increases in the value of goods to consumers and therefore the amount people spend on them.

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