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The causes and consequences of firms’ focus on artificial intelligence

Project description

A closer look at the future adoption of AI by firms

The EU is spearheading the development of new global norms for artificial intelligence (AI). AI is considered a key driver of future economic development. Its uptake by firms is a priority. But what will be the consequences of firms’ increasing focus on AI? The answer to this question will be of critical importance to policymakers working to increase AI uptake. In this context, the Marie Skłodowska-Curie Actions AIFocus project will study the causes and consequences of firms’ increasing focus on AI by using a large firm-level data set. It will create a unique measure that captures firms’ focus on AI. The measure allows separating between different AI capabilities. The project’s findings will benefit decision-makers.

Objective

The European Union (EU) attaches critical importance to AI. With its new strategy, called the “European approach to AI”, the EU aims to boost investment to foster the uptake of AI by EU firms. While the potential of AI is widely acknowledged, it is not evident that the focus on AI will translate into the targeted economic benefits. To date, we lack empirical evidence about the firm-level consequences of firms’ increasing focus on AI. The reason for this lack of knowledge is a paucity of firm-level data.
In this project, I contribute to our understanding of the causes and consequences of firms’ increasing focus on AI by using a large firm-level dataset. First, I use automated textual analysis to create a unique measure that captures firms’ focus on AI. The measure is based on publicly available documents and allows separating between different AI capabilities. Second, I investigate what causes firms to focus on AI. The answer to this question will be of critical importance to policymakers. It helps them to use the most effective mechanisms to increase AI uptake. Third, I investigate the effect of firms’ AI focus on (a) efficiency, (b) innovation, and (c) employment. Understanding the consequences of firms’ increasing focus on AI is crucial for policymakers. The findings of this project guide them in making efficient investments and designing policies that benefit the workforce.

Coordinator

UNIVERSITEIT MAASTRICHT
Net EU contribution
€ 203 464,32
Address
MINDERBROEDERSBERG 4
6200 MD Maastricht
Netherlands

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Region
Zuid-Nederland Limburg (NL) Zuid-Limburg
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data