National Artificial Intelligence Strategy 2026-2030
Peru · Strategy · Presidency of the Council of Ministers
Our summary
A national strategic instrument that coordinates government interventions to develop and strengthen artificial intelligence governance and management in Peru with a long-term perspective. It was approved by Ministerial Resolution 152-2026-PCM and applies across the country.
Written by the Index in our own words. It is not legal advice; the official text is the authority.
Inside this policy
Every section of this policy in order. Our notes summarise each one in plain language and do not quote the official text, which is the authority.
Drafted by the Index An automated summary of the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
7 sections
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I General aspects
Peru's National Artificial Intelligence Strategy 2026-2030 operationalizes ethical AI adoption under its 2030 Digital Transformation Policy and national AI and digital government laws, aligned with international standards from OECD, UNESCO, APEC, and the Inter-American frameworks emphasizing accountability, human oversight, and algorithmic risk management. The strategy is mandatory for public administration entities, public enterprises of regional and local governments, and those under the State Enterprise Financing Fund, with the Digital Government Secretariat designated as the national technical-normative authority responsible for directing, evaluating and supervising AI and emerging technologies. The strategy addresses Peru's structural gaps in innovation, digital skills, university-industry collaboration, and AI governance infrastructure to transform public management and economy through strategic data use, informed by a 454-entity survey showing existing public sector AI applications and stakeholder recommendations including reference frameworks for AI risk management, evaluation mechanisms for ethical alignment, cybersecurity integration, capacity building, and support for AI adoption in micro and small enterprises.
II Diagnosis
Peru faces inefficient AI governance marked by fragmented adoption, gaps in specialized talent, infrastructure deficiencies, and lack of risk assessment standards, though companies invested US$50.1 million in AI services in 2024 with 38.4% annual growth and 59% of public entities plan AI introduction while only 9% operate actual services, facing barriers including insufficient infrastructure (25%), budget (25%), and talent scarcity (25%). The strategy establishes adoption of NTP - ISO/IEC 42001:2025 as a reference standard and targets public sector transition to high-performance computing centres with GPU clusters and low-latency networks to enable sovereign model training, with potential automated cost reductions of 3% to 5% generating cumulative savings of 1.8 to 3 billion dollars by 2030, while Peru's Global AI Index ranking of 61st out of 138 countries (16.4/100) and data availability score of 0.52 against OECD average of 0.60 indicate capacity gaps requiring strategic investments including implementation of CNIDIA and financing acceleration programmes, as demonstrated by existing initiatives integrating generative AI, computer vision, machine learning and natural language processing for electoral justice, transport supervision, legal case management, and hydrological data analysis.
III Strategic framework: vision and mission
By 2030, Peru aims to harness AI's transformative potential to strengthen national capabilities, promote an inclusive and sustainable society, and lead the region in ethical AI research and innovation while ensuring respect for human rights, social equity and environmental protection. The National AI Strategy serves as a governance instrument to direct and oversee AI management at national level, ensuring strategic and efficient use in the public sector and society, guided by principles of digital government, digital transformation, digital trust and AI law. The strategy pursues four specific objectives: strengthen AI governance through international standards for safe, ethical and transparent systems; develop human talent and digital capabilities for AI use; promote strategic AI adoption for innovation and impactful solutions; and consolidate Peru's strategic AI use through international cooperation, sustainable innovation and citizen participation in governance.
IV Government levels and roles for AI management
Peru's AI governance follows a whole-of-government approach with the Prime Minister's Office through the Secretary of Government and Digital Transformation as the national technical-regulatory authority directing AI use and development, supported by multiple agencies including the Data Protection Authority, Consumer Protection Authority, Foreign Ministry, and Technical Standards Institute coordinating on standards like ISO/IEC 42001. Public entity heads must approve institutional policies for safe, responsible and ethical AI use, establish roles including an AI Officer, Data Governance Officer, and Digital Security and Trust Officer, include AI projects in the Digital Government Plan, and mandatorily adopt the NTP-ISO/IEC 42001:2025 standard with impact assessments required before implementing high-risk AI systems in sectors like health or justice. The National Digital Center, National AI Catalog repository, Laboratory for Government and Digital Transformation, and National Digital Security Center provide infrastructure and governance mechanisms for AI development, data analysis, co-creation, and security operations across public administration.
V AI-based innovation and entrepreneurship
The strategy pursues four strategic axes: developing AI talent and capabilities through strengthened digital skills and equitable regional access, requiring the education ministry to enhance teacher competencies in AI use and the civil service authority to train public servants; promoting AI adoption through innovation funding schemes, technology extension services, a National AI Platform, and a National Center for Digital Innovation and AI with regulatory and technological sandboxes; strengthening AI governance through mandatory adoption of NTP-ISO/IEC 42001:2025, NTP-ISO/IEC 38507, NTP-ISO/IEC 23894, NTP-ISO/IEC 42005, and NTP-ISO/IEC 42006 standards in public entities with accreditation of certification bodies; and ensuring interoperability, security, data governance and ethical AI use through standards and guidelines developed by the Digital Government Secretariat, aligned with ISO, NIST and OECD standards. The Digital Government Secretariat shall manage Peru's participation in international AI forums including the Council of Europe Framework Convention and pursue knowledge transfer agreements, while establishing citizen and civil society oversight through the Participa Peru platform with awareness and literacy initiatives focused on child protection and privacy.
VI Roadmap and implementation
The implementation roadmap uses a scalable, differentiated approach proportional to institutional maturity, with cumulative annual targets of up to 15% of teachers trained in AI by gender per region and up to 25% of technical-productive educators trained in generative AI, requiring teacher certification and community networks. Implementation requires training public servants and private sector workers in responsible AI use, establishing financing for AI research including multilingual language models, creating technical and regulatory sandboxes, developing and approving four Peruvian technical standards on AI governance, risk management, impact assessment, and audit and certification, promoting accreditation of certification bodies and AI system evaluators, and formulating reference frameworks for public sector AI solutions. Success is measured by teacher certification numbers, regional distribution, percentage progress on guidelines and international agreements signed, and performance tracked through numbers of projects developed, citizens reached, feedback reports, and budgets from national funding, international cooperation, and private investment.
VII Monitoring and evaluation
The SGTD conducts strategic oversight through quarterly internal reports and annual official records, with each entity's AI office reporting progress. A public dashboard provides continuous monitoring of action plan advances, while biennial strategic reviews assess alignment with technological advances and international recommendations. Permanent feedback mechanisms involve civil society, academia and the private sector in dialogue and co-creation of AI governance solutions.
Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
Drafted by the Index Drafted automatically from the official text, not yet reviewed by a person.Reviewed Checked by a person against the official text.
Themes covered 13 of 35
Choose a theme to see only its controls. About the themes
Risk and scope 3 of 4
- Prohibited practices, not covered
Data and privacy 0 of 4
- Data governance and quality, not covered
- Data subject rights and consent, not covered
- Cross-border data transfer, not covered
- Copyright and training data, not covered
Transparency and records 2 of 4
- Labelling of synthetic content, not covered
- Technical documentation, not covered
Technical safeguards 1 of 4
- Human oversight, not covered
- Accuracy, robustness and cybersecurity, not covered
- Testing and evaluation, not covered
Assurance and lifecycle 2 of 4
- Registration and notification, not covered
- Incident and breach reporting, not covered
Rights and protected groups 0 of 4
- Automated decision-making rights, not covered
- Children and vulnerable groups, not covered
- Biometric identification and surveillance, not covered
- Whistleblowing, complaints and redress, not covered
Roles and organisation 4 of 6
- Supply chain and provider-deployer duties, not covered
- General purpose and foundation models, not covered
Enforcement and sectors 1 of 5
- Enforcement, penalties and regulators, not covered
- Sector rules: health, not covered
- Sector rules: finance and insurance, not covered
- Sector rules: employment, not covered
The full list of controls could not be loaded, so only the first 25 are shown.
II 1 control
- ObligationApplies to: Public authorityDrafted by the Index
Peru recognises inefficient governance and fragmented adoption of artificial intelligence across government entities as a central problem that limits public value generation and weakens institutional capacity.
III 2 controls
- ObligationApplies to: Public authorityDrafted by the Index
Peru will develop and deploy artificial intelligence by 2030 in an ethical, transparent, safe and people-centred manner to strengthen national capacities and ensure respect for human rights and environmental protection.
- ObligationApplies to: Public authorityDrafted by the Index
The national AI strategy serves as a government instrument to direct and oversee AI governance at the national level and ensure its strategic and efficient use across the public and private sectors.
IV 4 controls
- ObligationApplies to: Public authorityDrafted by the Index
Peru establishes a whole-of-government institutional arrangement for AI governance to ensure cross-cutting coordination and alignment of AI policies and regulation.
- ObligationApplies to: Public authorityDrafted by the Index
The High-Level Committee for Digital, Innovative and Competitive Peru serves as a political-strategic body responsible for multisectoral coordination between the state, private sector, civil society and academia to promote and consolidate AI and digital society matters.
- ObligationApplies to: Public authorityDrafted by the Index
The Presidency through the General Secretariat for Digital Transformation is the national technical and regulatory authority responsible for approving standards and guidelines for AI development, implementation and use.
- ObligationApplies to: Public authorityDrafted by the Index
The Presidency through the General Secretariat for Digital Transformation monitors and evaluates the use of AI systems with indebted and high risk through the National Digital Security Centre.
V 5 controls
- ObligationApplies to: Public authorityDrafted by the Index
The state should pursue responsible, ethical, safe, transparent and inclusive development and use of AI in Peru through four strategic axes that guide its actions.
- ObligationApplies to: Public authorityDrafted by the Index
Strategic actions should resolve identified public problems, strengthen national capabilities, foster innovation and entrepreneurship, and consolidate a sustainable national AI ecosystem.
- ObligationApplies to: Public authorityDrafted by the Index
The state should strengthen human talent and digital capabilities in AI to improve productivity and ensure citizen wellbeing in the digital environment.
- ObligationApplies to: AnyoneDrafted by the Index
Before developing or implementing a high-risk AI system, entities should conduct an impact analysis to identify and minimize potential risks, protect fundamental rights and prevent perpetuation of inequality or bias.
Applies when: high-risk AI systems
- ObligationApplies to: Public authorityDrafted by the Index
The SGTD should approve guidelines on algorithmic transparency in coordination with competent entities when appropriate.
VI 6 controls
- ObligationApplies to: Public authorityDrafted by the Index
Implementation of the strategy should follow a scalable and differentiated model, tailoring activities and timelines to institutional and technological maturity of entities.
- ObligationApplies to: Public authorityDrafted by the Index
Technical assistance and resources should prioritize regional and local governments to ensure territorial ownership of the strategy and whole-of-government approach.
- ObligationApplies to: Public authorityDrafted by the Index
The MINEDU should design and implement in-person and virtual training actions for teachers to strengthen their competencies in AI for responsible adoption and pedagogical use.
- ObligationApplies to: Public authorityDrafted by the Index
The MINEDU should design and implement digital educational resources that integrate AI functionality within the CNEB curriculum, accessible through ministry channels.
- ObligationApplies to: Public authorityDrafted by the Index
The MINEDU should develop a diagnosis of territorial capacities and needs in generative AI for teachers in technical-productive and higher education institutions.
- ObligationApplies to: Public authorityDrafted by the Index
The MINEDU should design and implement pedagogical updating programs in generative AI for teachers in technical and higher education centers.
VII 7 controls
- ObligationApplies to: Public authorityDrafted by the Index
The PCM through the SGTD should conduct strategic monitoring and supervision of the implementation of actions established in the strategy.
- ObligationApplies to: Public authorityDrafted by the Index
The SGTD and each entity's AI office should report quarterly internally and annually in official records on progress and compliance with strategic actions.
- ObligationApplies to: Public authorityDrafted by the Index
The SGTD should implement and maintain a public dashboard to continuously monitor the advancement of AI action plans on a half-yearly basis.
- ObligationApplies to: Public authorityDrafted by the Index
The SGTD should conduct a strategic review every two years to assess the strategy's relevance against technological advances, national needs and international recommendations, especially from the OECD and APEC.
- ObligationApplies to: Public authorityDrafted by the Index
The strategic review should include independent validation of achieved results and promote participation of international bodies or specialized academic entities.
- ObligationApplies to: Public authorityDrafted by the Index
The SGTD and public entities should permanently establish dialogue spaces and use participatory platforms to collect feedback and inform AI governance from civil society, academia and the private sector.
- ObligationApplies to: Public authorityDrafted by the Index
Monitoring of the strategy should involve civil society, academia and the private sector to identify technological demands, prevent bias or ethical risks, and co-create people-centered AI solutions.
Change history
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