Bermuda AI Statistics 2026

Data Reference By Jorai Laurenceo Last Updated

This is Laurenceo's reference list of every published statistic about artificial intelligence in Bermuda, each with its source, date and method where known. Figures are quoted exactly as published; where a figure is old or its method is weak, that is said plainly. Cite this page as "Laurenceo, Bermuda AI Statistics 2026".

Headline Figures

StatisticFigureSource and date
Residents who say AI needs to be regulated78%Narrative Research, Dec 2025 to Jan 2026 (Royal Gazette, Bernews)
Residents who believe jobs are at risk due to AI62%Narrative Research, Dec 2025 to Jan 2026 (BBC Bermuda)
Residents using AI for personal purposes at least weeklyHalfNarrative Research, Dec 2025 to Jan 2026
Employed residents using AI for work at least weeklyNearly six in tenNarrative Research, Dec 2025 to Jan 2026
Gross claims costs of Bermuda commercial (re)insurers, 2016 to 2024$1.1 trillionBMA, September 2025 (Captive.com)
Property-casualty insurers using AI or MLAbout 24% (data for 2021)BMA AI and ML survey, 2022 (Captive.com)
Re/insurance professionals who see AI as the best way to improve underwriting57.9%Bermuda Re+ILS, January 2025 (source)
Bermudians graduated from Bermuda College's AI Foundations programme34Bermuda College (source)
Principles in the BMA's proposed AI Guidance Note8 principles, 5 outcomesBMA consultation paper, 14 August 2026
Maximum PIPA fine for an organisation$250,000PIPA (DLA Piper)

Public Opinion

The Narrative Research survey is the only published measure of Bermudian attitudes to AI. It covered 248 adult residents through an online panel, with fieldwork from 5 December 2025 to 4 January 2026; because it is an online panel, no margin of error can be attached. The strongest agreement was that AI needs to be regulated. Views on AI's overall effect on society were more divided, and a majority voiced concerns about job security, risks and data privacy.

Industry Adoption

The Bermuda Monetary Authority's AI and machine learning survey, published in November 2022 and based on data for 2021, remains the only regulator-run measure of AI adoption in Bermuda's insurance market. It described adoption as in its infancy but set to pick up significantly within five years. No updated survey has been published; the BMA's 2025 discussion paper and 2026 consultation treat AI as mainstream. Read more in AI in Bermuda Insurance, Reinsurance and Financial Services.

Jobs and the Economy

Estimates of AI's effect on Bermudian jobs are contested: an OBA column cited 2 to 5% of jobs at risk from automation in the near term, while Bermuda Clarity Institute founder Stuart Lacey has suggested 10 to 20% of jobs may be lost to AI. Neither is a Bermuda-specific measurement. See AI Jobs, Skills and Training in Bermuda.

What Has Not Been Measured

  • AI use by Bermuda businesses outside insurance.
  • AI use in Bermuda's public sector, by number of use cases.
  • AI's measured effect on Bermudian employment.
  • Spending on AI by Bermuda firms.

Laurenceo will add each figure here when a credible source publishes it. If you know of a figure missing from this page, contact Laurenceo with the source.

Questions and Answers

How many people in Bermuda use AI?

Half of Bermuda residents use AI for personal purposes at least weekly, and nearly six in ten employed residents use it for work at least weekly, according to a Narrative Research survey of 248 residents fielded in December 2025 and January 2026.

Do Bermudians want AI regulated?

Yes. 78% of residents surveyed by Narrative Research said AI needs to be regulated, the strongest agreement of any statement tested.

How many Bermuda insurers use AI?

The latest regulator data, from the BMA's 2022 survey of 2021 data, found about 24% of property-casualty firms used AI or machine learning, with rapid growth expected. No newer official figure has been published.

Sources

About the Author

Jorai Laurenceo

Jorai Laurenceo is the Founder and Executive Director of Laurenceo, Bermuda's AI governance think tank, based in Hamilton, Bermuda. He leads Laurenceo's research on AI governance and the Bermuda Monetary Authority's AI guidance, its public consultation response and Laurenceo Intelligence. He studies Technology Management at Ontario Tech University.