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Results intelligence · Insurer · North America
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HIG

The Hartford

A reporting-period timeline of the company’s AI and machine-learning disclosures, grounded in official investor materials and exact source excerpts.

Risk and governanceProducts and use casesAI strategyClient demand
Reporting history

AI disclosures by reporting period

Documents with no explicit AI/ML evidence are shown as such. Silence is not interpreted as inactivity.

Quarterly report

The Hartford quarterly report filed 23 Jul 2026

SEC EDGAR

Reporting period ended 30 Jun 2026

Primary source

The Hartford has identified advancements in emerging technologies, including machine learning, predictive analytics, and artificial intelligence, as potential risk factors. The company noted that these technologies could provide competitors with a competitive advantage. Additionally, these advancements could impact the rate and severity of claims, as well as the overall demand for the company's products.

Risk and governanceContinuing

Emerging technologies including machine learning pose competitive and claims risks

The Hartford disclosed that technological changes and advancements in emerging technologies, including machine learning, predictive analytics, big data analysis, and other artificial intelligence functions, could give competitors a competitive advantage. Furthermore, these technologies could impact the rate and severity of claims, as well as product demand.

“technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions, advancements in automotive safety features, the development of autonomous vehicles, and platforms that facilitate ride sharing could provide our competitors with a competitive advantage and could impact the rate and severity of claims, as well as the demand for our products”

Context: Form 10-Q, forward-looking statements / risk factors section

Quarterly report

The Hartford quarterly report filed 23 Apr 2026

SEC EDGAR

Reporting period ended 31 Mar 2026

Primary source

The Hartford has identified advancements in emerging technologies, such as machine learning and artificial intelligence, as risk factors that could impact its competitive position. The company notes that competitors leveraging these technologies could gain a competitive advantage. Additionally, these advancements may affect the frequency and severity of claims as well as customer demand.

Risk and governanceContinuing

Emerging technologies and AI pose competitive and claim-related risks

The company disclosed that advancements in emerging technologies, including machine learning, predictive analytics, and other artificial intelligence functions, could provide competitors with a competitive advantage and impact both product demand and the rate and severity of claims.

“technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions, advancements in automotive safety features, the development of autonomous vehicles, and platforms that facilitate ride sharing could provide our competitors with a competitive advantage and could impact the rate and severity of claims, as well as the demand for our products”

Context: Forward-looking statements / Risk factors section

Annual report

The Hartford annual report filed 20 Feb 2026

SEC EDGAR

Reporting period ended 31 Dec 2025

Primary source

The Hartford is integrating artificial intelligence across its business segments, including Small Business, Middle & Large Business, and Global Specialty, to enhance pricing, underwriting, and quoting automation. However, the company faces growing competitive pressures from rivals using advanced analytics and highlights risks related to data privacy, system failures, and regulatory compliance. Furthermore, the company notes that increased AI and automation in the workplace could potentially affect the demand for its insurance products over time.

Products and use casesExpanding

AI deployed across multiple business segments to optimize underwriting and quoting

The Hartford is leveraging AI and data analytics across its Middle & Large Business and Global Specialty segments to enhance risk selection, pricing decisions, efficiency, and to shorten quoting times. This complements its automated quoting tool, ICON, which already quotes over 75% of new small business policies from admitted markets without human intervention.

“Within this competitive environment, The Hartford is continuing to invest in its underwriting systems and capabilities, including investing in speed to market solutions, enhancing its digital experience, leveraging its sales and underwriting talent and expanding its use of data analytics, artificial intelligence capabilities and third party data to make expert risk selection and pricing decisions as the firm pursues responsible growth strategies to deliver target returns.”

Context: Middle & Large Business segment operational review

AI strategyExpanding

AI acceleration integrated as a core enterprise priority

The Hartford has identified accelerating artificial intelligence enablement as one of its key enterprise priorities to deliver faster and smarter outcomes across its business lines.

“Accelerating artificial intelligence enablement and responsibly leveraging data, analytics, and digital capabilities to deliver smarter, faster outcomes across the businesses;”

Context: Priority description under the company's value creation strategy

Client demandDirection not stated

Workplace automation and AI adoption may reduce insurance product demand

The Hartford discloses that the increased adoption of advanced analytics, such as artificial intelligence, and automation in the workplace could potentially lower future demand for its workers' compensation and employee benefits products.

“Increased use of advanced analytics (e.g., artificial intelligence) and automation in the workplace could potentially affect the demand for workers' compensation and employee benefits products over time.”

Context: Risk Factors section

Risk and governanceExpanding

AI adoption increases data privacy, security, and operational disruption risks

The Hartford flags several operational and governance risks linked to AI, including potential system disruptions during technology updates, inadvertent disclosures of confidential information by the company or its third-party partners, and the compounding complexity of cyber risks as vendors integrate AI into their platforms.

“Use of artificial intelligence by us or by such third parties could also result in inadvertent disclosure of our confidential information.”

Context: Risk Factors section regarding data privacy and third-party dependencies

Risk and governanceContinuing

Emerging state and federal AI regulations present compliance uncertainty

Legislative and regulatory efforts in the United States concerning artificial intelligence, data privacy, and cybersecurity present unanticipated compliance risks that could impact the company's business operations and financial results.

“For example, federal and state legislative efforts on Paid Family and Medical Leave, artificial intelligence, data privacy and cyber security, risk-based pricing, and sustainability practices could have unanticipated consequences for the Company and its businesses.”

Context: Discussion of legal and regulatory compliance risks

Quarterly report

The Hartford quarterly report filed 27 Oct 2025

SEC EDGAR

Reporting period ended 30 Sept 2025

Primary source

The Hartford has identified technological changes as a key area of risk and opportunity in its quarterly report. Specifically, the company highlights advancements in emerging technologies like machine learning, predictive analytics, and artificial intelligence functions as factors that could affect its business. These technological shifts are listed alongside other risk factors, including the development of autonomous vehicles and usage-based premium methods.

Risk and governanceContinuing

Technological advancements in artificial intelligence identified as risk factors

The Hartford has identified advancements in emerging technologies, including machine learning, predictive analytics, and other artificial intelligence functions, as technological risks that could impact the company's business performance and premium pricing strategies.

“technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions”

Context: Form 10-Q, forward-looking statements risk factors

Quarterly report

The Hartford quarterly report filed 28 Jul 2025

SEC EDGAR

Reporting period ended 30 Jun 2025

Primary source

The Hartford discloses emerging technologies, including machine learning and artificial intelligence, as part of its technological risk factors. These advancements, alongside predictive analytics and big data analysis, represent competitive and operational changes that could impact the company's business.

Risk and governanceContinuing

Emerging technologies including machine learning and AI identified as risk factors

The Hartford has disclosed that technological changes, specifically advancements in emerging technologies such as machine learning, predictive analytics, big data analysis, and other artificial intelligence functions, represent risk factors to its business operations.

“technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions”

Context: Form 10-Q, forward-looking statements risk factors

Quarterly report

The Hartford quarterly report filed 24 Apr 2025

SEC EDGAR

Reporting period ended 31 Mar 2025

Primary source

The Hartford has identified technological advancements in machine learning, predictive analytics, big data analysis, and other artificial intelligence functions as potential risk factors. These technologies are noted alongside other industry-shifting trends, such as autonomous vehicles and usage-based premium methods, which could affect the company's business prospects and pricing efficacy.

Risk and governanceContinuing

Emerging technologies including AI and machine learning identified as business risks

The company discloses that technological changes, specifically advancements in machine learning, predictive analytics, big data analysis, and other artificial intelligence functions, are factors that could impact its business, financial position, and results.

“technological changes, including usage-based methods of determining premiums, advancements in certain emerging technologies, including machine learning, predictive analytics, “big data” analysis or other artificial intelligence functions”

Context: Forward-Looking Statements / Risk Factors