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OpenAI flags AI adoption gap in Europe despite 8-fold surge in agent use among small businesses

  • Bias Rating

    -10% Center

  • Reliability

    30% ReliableAverage

  • Policy Leaning

    -10% Center

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

36% Positive

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Bias Meter

Contributing sentiments towards policy:

59% : Every EU country recorded growth of more than five times over the period.
59% : In September, leading EU firms generated more than four times the output tokens per active user of typical EU firms.
55% : EU-based companies accounted for nearly 10 per cent of global frontier firms, defined as the top 10 per cent of businesses by AI output tokens per active user, while North America accounted for around 65 per cent.
54% : The report also found that weekly active use of AI agents among small and medium-sized businesses (SMBs) in the EU increased more than eightfold between early May and October 5, 2026.
54% : SMBs account for 63 per cent of private-sector employment in the EU and contribute more than 5 trillion euros to the bloc's economy annually, according to the report.
53% : According to the report, AI agents used through Codex and ChatGPT Work accounted for more than 50 per cent of output tokens generated by EU firms by the end of September.
53% : However, global frontier firms outside the EU generated more than twice the output of their European counterparts.
45% : New Delhi [India], October 15 (ANI): OpenAI has highlighted a widening opportunity for European businesses to turn growing artificial intelligence (AI) adoption into higher productivity, as AI agents now account for more than half of the output generated through its enterprise and business platforms in the European Union (EU).

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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