The global construction industry experienced a 38% drop in company filings mentions of artificial intelligence in Q2 2024 compared with the previous quarter, with the highest share accounted for by Digital Realty Trust with 42% year-on-year decrease, according to GlobalData’s analysis of over 251 construction company filings. GlobalData’s Construction: Filings Trends & Signals Q2 2024 report delves into earnings call transcripts and quarterly reports within the construction industry, extracting trends, signals, and comparative data to help businesses assess their performance, identify competitive intelligence, evaluate risks, and gain a comprehensive understanding of key industry events. Buy the report here.
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Notably, artificial intelligence was one of the most frequently referenced themes in Q2 2024, ranking highest in terms of mentions, ahead of future of work and individualism & expression, according to GlobalData.
Of the top leading companies in the construction industry, Digital Realty Trust had the greatest increase in references for artificial intelligence in Q2 2024, compared with the previous quarter. GlobalData identified 18 artificial intelligence-related sentences in the company's filings - 4% of all sentences - and a decrease of 42% in Q2 2024 compared with Q2 2023. KE’s mentions of artificial intelligence dropped by 31% to 18 and ABB’s by 6% to 17 and Equity Residential’s by 600% to 7 and Johnson Controls International’s by 22% to 7.
GlobalData’s Company Filings Analytics also applies sentiment weight to reference sentences, based on whether the sentences are positive, negative, or neutral. Starting at 100 in 2020, an index over 100 is more positive. The overall index for artificial intelligence in Q2 2024 was 101.
For further understanding of GlobalData's Construction: Filings Trends & Signals Q2 2024, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Company Filings Analytics uses machine learning to uncover key insights and track sentiment across millions of regulatory filings and other corporate disclosures for thousands of companies across the world’s largest industries.
