Artificial Intelligence in Construction: Risks and Opportunities in Jersey

April 22, 2026

Artificial Intelligence (AI) presents both significant opportunities and notable regulatory and legal challenges for the construction sector.

In May 2025, the Civil Engineering Contractors Association published its report titled ‘Artificial Intelligence in UK Construction’, which highlighted several potential benefits of AI, including:

  • Optimisation of design.
  • Identification of errors.
  • Faster and improved decision making.
  • Improved commercial management.
  • Enhanced health and safety performance.

The report also highlighted risks, including:

  • Reduced privacy, overdependence on AI tools, cyber security concerns, ethical issues and potential loss of intellectual property.
  • The absence of AI specific legislation, meaning existing laws must be applied to AI usage.

With the anticipated publication of the Jersey Artificial Intelligence Council’s Playbook in 2026, which will set out a framework for the controlled adoption and governance of AI, construction businesses must consider how best to navigate this evolving landscape while maintaining a competitive edge and ensuring stability.

The Contracting Gap

Standard form construction contracts have not kept pace with the adoption of AI. This creates uncertainty around how liability provisions apply to AI generated outputs.

For example, where an AI system contributes to a defect, delay or safety incident, it may not be clear whether responsibility lies with the contractor, the AI provider, or another party.

Bespoke contractual provisions are increasingly required to address:

  • Disclosure of AI usage.
  • Human oversight and sign-off requirements.
  • Liability allocation.
  • Insurance considerations.

In addition, where AI driven scheduling tools produce inaccurate forecasts or conflict with human reporting, contracts should include clear protocols for resolving discrepancies at the time they arise.


Data Ownership

Ownership issues will become more prominent as AI tools generate designs, models and project documentation.

Contracts should include provisions addressing:

  • Ownership of AI generated materials.
  • Rights to use outputs.
  • Ownership of training data..
  • Restrictions on reuse of project specific AI models.

Contractors should also carefully review AI provider licensing terms, as providers may retain rights over generated outputs.

Safety, Monitoring and Data Governance

Many construction firms already use AI to monitor health and safety and to track plant and equipment performance.

These systems generate significant personal data, including through biometric access systems and wearable technology. Contractors must ensure compliance with the Data Protection (Jersey) Law 2018, including obligations relating to transparency and automated decision making.

Privacy notices should clearly set out:

  • What data is collected.
  • Why it is collected.
  • Where it is stored.
  • Who it is shared with.

There are also practical risks; for example:

  • AI systems failing to detect hazards.
  • AI systems identifying risks not recognised by human supervisors.

Construction firms should implement clear internal protocols to manage these scenarios.

This is particularly important given that traditional professional indemnity insurance may not fully cover AI related risks, making early review of insurance arrangements essential.

Bias, Discrimination and Data Governance

As AI becomes more embedded in construction operations, the risk of bias and discrimination increases.

AI systems trained on historical data may perpetuate existing biases, potentially affecting:

  • Subcontractor selection.
  • Workforce allocation.
  • Operational decision-making.

Construction firms should assess AI systems for bias and implement safeguards, including:

  • Bias audits of training data.
  • Fairness controls in system design.
  • Ongoing monitoring of outputs.

Practical Steps

Construction firms should take proactive steps, including:

  • Auditing current AI usage across operations.
  • Implementing bespoke contractual provisions.
  • Reviewing insurance coverage.
  • Establishing governance frameworks for AI use.
  • Maintaining appropriate human oversight.

Conclusion

AI presents a significant opportunity for construction businesses in Jersey, but it also introduces new and complex risks.

Those who take early steps to address contractual, regulatory and governance challenges will be better positioned to benefit from AI while protecting their commercial and legal position in an increasingly technology-driven industry. Contact BCR Law to take these steps today.

Artificial Intelligence (AI) presents both significant opportunities and notable regulatory and legal challenges for the construction sector.

In May 2025, the Civil Engineering Contractors Association published its report titled ‘Artificial Intelligence in UK Construction’, which highlighted several potential benefits of AI, including:

  • Optimisation of design.
  • Identification of errors.
  • Faster and improved decision making.
  • Improved commercial management.
  • Enhanced health and safety performance.

The report also highlighted risks, including:

  • Reduced privacy, overdependence on AI tools, cyber security concerns, ethical issues and potential loss of intellectual property.
  • The absence of AI specific legislation, meaning existing laws must be applied to AI usage.

With the anticipated publication of the Jersey Artificial Intelligence Council’s Playbook in 2026, which will set out a framework for the controlled adoption and governance of AI, construction businesses must consider how best to navigate this evolving landscape while maintaining a competitive edge and ensuring stability.

The Contracting Gap

Standard form construction contracts have not kept pace with the adoption of AI. This creates uncertainty around how liability provisions apply to AI generated outputs.

For example, where an AI system contributes to a defect, delay or safety incident, it may not be clear whether responsibility lies with the contractor, the AI provider, or another party.

Bespoke contractual provisions are increasingly required to address:

  • Disclosure of AI usage.
  • Human oversight and sign-off requirements.
  • Liability allocation.
  • Insurance considerations.

In addition, where AI driven scheduling tools produce inaccurate forecasts or conflict with human reporting, contracts should include clear protocols for resolving discrepancies at the time they arise.


Data Ownership

Ownership issues will become more prominent as AI tools generate designs, models and project documentation.

Contracts should include provisions addressing:

  • Ownership of AI generated materials.
  • Rights to use outputs.
  • Ownership of training data..
  • Restrictions on reuse of project specific AI models.

Contractors should also carefully review AI provider licensing terms, as providers may retain rights over generated outputs.

Safety, Monitoring and Data Governance

Many construction firms already use AI to monitor health and safety and to track plant and equipment performance.

These systems generate significant personal data, including through biometric access systems and wearable technology. Contractors must ensure compliance with the Data Protection (Jersey) Law 2018, including obligations relating to transparency and automated decision making.

Privacy notices should clearly set out:

  • What data is collected.
  • Why it is collected.
  • Where it is stored.
  • Who it is shared with.

There are also practical risks; for example:

  • AI systems failing to detect hazards.
  • AI systems identifying risks not recognised by human supervisors.

Construction firms should implement clear internal protocols to manage these scenarios.

This is particularly important given that traditional professional indemnity insurance may not fully cover AI related risks, making early review of insurance arrangements essential.

Bias, Discrimination and Data Governance

As AI becomes more embedded in construction operations, the risk of bias and discrimination increases.

AI systems trained on historical data may perpetuate existing biases, potentially affecting:

  • Subcontractor selection.
  • Workforce allocation.
  • Operational decision-making.

Construction firms should assess AI systems for bias and implement safeguards, including:

  • Bias audits of training data.
  • Fairness controls in system design.
  • Ongoing monitoring of outputs.

Practical Steps

Construction firms should take proactive steps, including:

  • Auditing current AI usage across operations.
  • Implementing bespoke contractual provisions.
  • Reviewing insurance coverage.
  • Establishing governance frameworks for AI use.
  • Maintaining appropriate human oversight.

Conclusion

AI presents a significant opportunity for construction businesses in Jersey, but it also introduces new and complex risks.

Those who take early steps to address contractual, regulatory and governance challenges will be better positioned to benefit from AI while protecting their commercial and legal position in an increasingly technology-driven industry. Contact BCR Law to take these steps today.

Artificial Intelligence (AI) presents both significant opportunities and notable regulatory and legal challenges for the construction sector.

In May 2025, the Civil Engineering Contractors Association published its report titled ‘Artificial Intelligence in UK Construction’, which highlighted several potential benefits of AI, including:

  • Optimisation of design.
  • Identification of errors.
  • Faster and improved decision making.
  • Improved commercial management.
  • Enhanced health and safety performance.

The report also highlighted risks, including:

  • Reduced privacy, overdependence on AI tools, cyber security concerns, ethical issues and potential loss of intellectual property.
  • The absence of AI specific legislation, meaning existing laws must be applied to AI usage.

With the anticipated publication of the Jersey Artificial Intelligence Council’s Playbook in 2026, which will set out a framework for the controlled adoption and governance of AI, construction businesses must consider how best to navigate this evolving landscape while maintaining a competitive edge and ensuring stability.

The Contracting Gap

Standard form construction contracts have not kept pace with the adoption of AI. This creates uncertainty around how liability provisions apply to AI generated outputs.

For example, where an AI system contributes to a defect, delay or safety incident, it may not be clear whether responsibility lies with the contractor, the AI provider, or another party.

Bespoke contractual provisions are increasingly required to address:

  • Disclosure of AI usage.
  • Human oversight and sign-off requirements.
  • Liability allocation.
  • Insurance considerations.

In addition, where AI driven scheduling tools produce inaccurate forecasts or conflict with human reporting, contracts should include clear protocols for resolving discrepancies at the time they arise.


Data Ownership

Ownership issues will become more prominent as AI tools generate designs, models and project documentation.

Contracts should include provisions addressing:

  • Ownership of AI generated materials.
  • Rights to use outputs.
  • Ownership of training data..
  • Restrictions on reuse of project specific AI models.

Contractors should also carefully review AI provider licensing terms, as providers may retain rights over generated outputs.

Safety, Monitoring and Data Governance

Many construction firms already use AI to monitor health and safety and to track plant and equipment performance.

These systems generate significant personal data, including through biometric access systems and wearable technology. Contractors must ensure compliance with the Data Protection (Jersey) Law 2018, including obligations relating to transparency and automated decision making.

Privacy notices should clearly set out:

  • What data is collected.
  • Why it is collected.
  • Where it is stored.
  • Who it is shared with.

There are also practical risks; for example:

  • AI systems failing to detect hazards.
  • AI systems identifying risks not recognised by human supervisors.

Construction firms should implement clear internal protocols to manage these scenarios.

This is particularly important given that traditional professional indemnity insurance may not fully cover AI related risks, making early review of insurance arrangements essential.

Bias, Discrimination and Data Governance

As AI becomes more embedded in construction operations, the risk of bias and discrimination increases.

AI systems trained on historical data may perpetuate existing biases, potentially affecting:

  • Subcontractor selection.
  • Workforce allocation.
  • Operational decision-making.

Construction firms should assess AI systems for bias and implement safeguards, including:

  • Bias audits of training data.
  • Fairness controls in system design.
  • Ongoing monitoring of outputs.

Practical Steps

Construction firms should take proactive steps, including:

  • Auditing current AI usage across operations.
  • Implementing bespoke contractual provisions.
  • Reviewing insurance coverage.
  • Establishing governance frameworks for AI use.
  • Maintaining appropriate human oversight.

Conclusion

AI presents a significant opportunity for construction businesses in Jersey, but it also introduces new and complex risks.

Those who take early steps to address contractual, regulatory and governance challenges will be better positioned to benefit from AI while protecting their commercial and legal position in an increasingly technology-driven industry. Contact BCR Law to take these steps today.

Artificial Intelligence (AI) presents both significant opportunities and notable regulatory and legal challenges for the construction sector.

In May 2025, the Civil Engineering Contractors Association published its report titled ‘Artificial Intelligence in UK Construction’, which highlighted several potential benefits of AI, including:

  • Optimisation of design.
  • Identification of errors.
  • Faster and improved decision making.
  • Improved commercial management.
  • Enhanced health and safety performance.

The report also highlighted risks, including:

  • Reduced privacy, overdependence on AI tools, cyber security concerns, ethical issues and potential loss of intellectual property.
  • The absence of AI specific legislation, meaning existing laws must be applied to AI usage.

With the anticipated publication of the Jersey Artificial Intelligence Council’s Playbook in 2026, which will set out a framework for the controlled adoption and governance of AI, construction businesses must consider how best to navigate this evolving landscape while maintaining a competitive edge and ensuring stability.

The Contracting Gap

Standard form construction contracts have not kept pace with the adoption of AI. This creates uncertainty around how liability provisions apply to AI generated outputs.

For example, where an AI system contributes to a defect, delay or safety incident, it may not be clear whether responsibility lies with the contractor, the AI provider, or another party.

Bespoke contractual provisions are increasingly required to address:

  • Disclosure of AI usage.
  • Human oversight and sign-off requirements.
  • Liability allocation.
  • Insurance considerations.

In addition, where AI driven scheduling tools produce inaccurate forecasts or conflict with human reporting, contracts should include clear protocols for resolving discrepancies at the time they arise.


Data Ownership

Ownership issues will become more prominent as AI tools generate designs, models and project documentation.

Contracts should include provisions addressing:

  • Ownership of AI generated materials.
  • Rights to use outputs.
  • Ownership of training data..
  • Restrictions on reuse of project specific AI models.

Contractors should also carefully review AI provider licensing terms, as providers may retain rights over generated outputs.

Safety, Monitoring and Data Governance

Many construction firms already use AI to monitor health and safety and to track plant and equipment performance.

These systems generate significant personal data, including through biometric access systems and wearable technology. Contractors must ensure compliance with the Data Protection (Jersey) Law 2018, including obligations relating to transparency and automated decision making.

Privacy notices should clearly set out:

  • What data is collected.
  • Why it is collected.
  • Where it is stored.
  • Who it is shared with.

There are also practical risks; for example:

  • AI systems failing to detect hazards.
  • AI systems identifying risks not recognised by human supervisors.

Construction firms should implement clear internal protocols to manage these scenarios.

This is particularly important given that traditional professional indemnity insurance may not fully cover AI related risks, making early review of insurance arrangements essential.

Bias, Discrimination and Data Governance

As AI becomes more embedded in construction operations, the risk of bias and discrimination increases.

AI systems trained on historical data may perpetuate existing biases, potentially affecting:

  • Subcontractor selection.
  • Workforce allocation.
  • Operational decision-making.

Construction firms should assess AI systems for bias and implement safeguards, including:

  • Bias audits of training data.
  • Fairness controls in system design.
  • Ongoing monitoring of outputs.

Practical Steps

Construction firms should take proactive steps, including:

  • Auditing current AI usage across operations.
  • Implementing bespoke contractual provisions.
  • Reviewing insurance coverage.
  • Establishing governance frameworks for AI use.
  • Maintaining appropriate human oversight.

Conclusion

AI presents a significant opportunity for construction businesses in Jersey, but it also introduces new and complex risks.

Those who take early steps to address contractual, regulatory and governance challenges will be better positioned to benefit from AI while protecting their commercial and legal position in an increasingly technology-driven industry. Contact BCR Law to take these steps today.