Using AI To Transform ECB's Corporate Telephone Survey

By Maximilian Freier, Alex Melemenidis and Richard Morris

Artificial intelligence has the potential to make economic research more effective. But how exactly? This ECB Blog post gives a concrete example. We look at the use of AI to streamline the processes and analytical capabilities of our Corporate Telephone Survey.

At the European Central Bank, we use artificial intelligence in our work where appropriate. For example, we use AI to collect, clean and analyse vast amounts of data which feed into our work on statistics, risk management, banking supervision and monetary policy analysis.[1]

For an overview of how AI is changing central banking, see Araujo, D. and Freier, M. (2025) "Monetary Policy Tech: A primer to novel techniques for monetary policy analysis and business processes", preprint, SSRN, 16 December.

This ECB Blog posts takes a closer look at one such application of artificial intelligence: the Corporate Telephone Survey that we use to gather intelligence from big business about the state of the economy.

What is the Corporate Telephone Survey?

The Corporate Telephone Survey (CTS) gathers qualitative information from large corporations about current economic developments. This includes supply and demand conditions, emerging price pressures and labour market dynamics.[2]

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