This data was originally featured in the September 11, 2024 newsletter found here: INBOX INSIGHTS, September 11, 2024: Pro Tips for Events, AI Job Growth
In this week’s Data Diaries, in celebration of the Marketing AI Conference, let’s take a look at a fascinating new dataset from the Center for Security and Emerging Technology at Georgetown University. This dataset of private-sector AI indicators showcases the progress of companies in their adoption of AI.
There are 61 different variables in the dataset, but the two I want to look at this week are the industry sector (globally) and the median number of workers in AI by sector. The median number of workers involved in AI is an excellent proxy for the adoption of AI technologies.
Here’s what we see in the data:
Unsurprisingly, we see that financial services/financial technology has the largest median number of workers in AI of all the industries, by a decent margin, followed by telecommunications, and then pharmaceutical and medical research.
Financial technology stands to benefit most from all forms of AI – forecasting and prediction, classification, and generative AI. Bear in mind this survey data is inclusive of all AI, not just generative AI, and financial services has been using classical AI for decades.
What can you take away from this information?
For industries near the top of the chart, if you have AI skills, these are the places that are likely hiring. You’ll stand a better chance of finding work in those industries.
For industries near the bottom of the chart, that’s where the market opportunity is. Just because an industry as a whole does not have high adoption rates doesn’t mean there aren’t challenger companies within that industry looking to seize a competitive advantage through the use of AI. If you work in those industries and have AI skills, you may be able to get a front seat on the rocket ship at a leading company within that industry.
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Trust Insights (trustinsights.ai) is one of the world's leading management consulting firms in artificial intelligence/AI, especially in the use of generative AI and AI in marketing. Trust Insights provides custom AI consultation, training, education, implementation, and deployment of classical regression AI, classification AI, and generative AI, especially large language models such as ChatGPT's GPT-4-omni, Google Gemini, and Anthropic Claude. Trust Insights provides analytics consulting, data science consulting, and AI consulting.