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- The Future Of Work | Issue 24
The Future Of Work | Issue 24
The Unfolding:ai weekly newsletter about AI for Business Professionals
Paul Bratcher
18 Jan
Hi Everyone,
As usual it’s been a busy week for AI, starting with the headlines from Davos and the IMF that AI will impact 40% of all jobs. This is a reflection on all the data from last year, so whilst not new news. The social-economic impacts of that are starting to be considered, so a deeper dive into impact.
A week after the launch of the chatGPT GPT Store we review a few useful ones and provide some thoughts and guidance on them. We review the two new offerings from openAI and microsoft aimed at the smaller or every day business user.
We are a growing newsletter, we appreciate every share and recommendation.
40% of Jobs Impacted by AI
Last year when the World Economic Forum suggested a 40% impact for AI on the typical business activities, it was considered a ‘reach target’. Last years research, and early results from case studies seem to be indicating that this would be a good target baseline number. The International Monetary Fund (IMF) as part of DAVOS 2024 Summit has released its economic viewpoint.
Almost 40 percent of global employment is exposed to AI, with advanced economies at greater risk but also better poised to exploit AI benefits than emerging market and developing economies. In advanced economies, about 60 percent of jobs are exposed to AI, due to prevalence of cognitive-task-oriented jobs. A new measure of potential AI complementarity suggests that, of these, about half may be negatively affected by AI, while the rest could benefit from enhanced productivity through AI integration
The impact is likely to be higher in highly developed countries, such as the UK, and in countries which have high levels of professional employment and services, such as the UK. Conversely, they are also better positioned to take advantage of this technology and change.
advanced economies should prioritize AI innovation and integration while developing robust regulatory frameworks.
The paper(s) have a deep dive into an economic model of the UK, including economic and professional impact, capital growth. The summary is, higher income, better educated will tend to have the most to gain, and potentially the most to be disrupted. There is a greater exposed risk of disruption to women, although also this disruption could be a chance for complementary use of AI to elevate the current roles typically performed.
As tempting as it might be to paste the document into chatGPT and ‘summarise this’, it is worth the more detailed read.
The output from DAVOS, including the revised AI documents from the World Economic Forum (WEF), will no doubt also be informative this year.
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