Digital Skills Radar
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Method & sources

Evidence register

Our rule: no number without a source. Every figure in the tool is registered here as a claim with its sentence, value, scope and period, a source with title and publisher, the source type, a confidence level and the last review date. Wherever the figure appears in the tool, its badge opens the same details.

Source type is not confidence: an official record is strong evidence of what was recorded and weak evidence of a need that was not. A claim is flagged as needing review once 12 months have passed since its last review.

Source types and confidence levels

Source types

  • Official source25A record or statistic from an official body; it may be published or an internal administrative record (stated explicitly).
  • International report or framework47A report or reference framework from an international organization or standards body.
  • Survey3A result from a defined survey sample; it describes respondents, not everyone.
  • Self-reported data7A figure an organization publishes about itself or its platform; not independently verified.
  • Editorial45A judgment or rule set by the tool’s author; declared and reviewable, not a measurement.

Confidence levels

  • High confidenceCan be relied on as stated, within its scope and period.
  • Medium confidenceCorrect as far as we know, but it carries a declared limit or has not yet been matched to the original text.
  • Low confidenceAn assumption or weakly supported figure; indicative only, not a basis for decisions.

Filter the register

Showing 127 of 127 claims

  1. 421Medium confidence

    421 entities received training or consulting services up to the end of Q3 2026.

    Both source workbooks up to the end of Q3 2026.

    Scope
    All entities in the two source workbooks, including non-government ones · 2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  2. 370Medium confidence

    Of the 421 entities served, 370 are classed as government or quasi-government in the source workbook.

    The source workbook’s own classing (scope «government» and «semi-government»); it is broader than the cleaned directory, which separates state-owned companies.

    Scope
    2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  3. 377Medium confidence

    377 training programs were delivered between 2021 and 2026.

    Programs, not participation records; one program has many participants.

    Scope
    2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  4. 322Medium confidence

    322 entities took part in training programs.

    Both source workbooks up to the end of Q3 2026.

    Scope
    2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  5. 372Medium confidence

    372 entities received consulting services.

    Both source workbooks up to the end of Q3 2026.

    Scope
    2023 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  6. 273Medium confidence

    273 entities used both tracks, training and consulting.

    Both source workbooks up to the end of Q3 2026.

    Scope
    2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  7. end of Q3 2026High confidence

    The two source workbooks end at the close of Q3 2026, and every national figure is read at that date.

    Scope
    2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → summary sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  8. 1,597Medium confidence

    The consulting services break down into 1,597 detail lines across 8 categories.

    One line can carry several records; the records sum to 2,873.

    Scope
    2023 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → consulting detail sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  9. 8 categoriesHigh confidence

    Consulting services are classed into 8 categories as recorded in the source workbook.

    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → consulting detail sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  10. 6 pillarsHigh confidence

    Consulting services are attributed to 6 strategic pillars in the source workbook.

    A line can carry more than one pillar, so pillar counts exceed the number of lines.

    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026services.xlsx → consulting detail sheetInternal, unpublished record
    Type
    Official source
    Last reviewed
  11. 587High confidence

    The public directory lists 587 active entities after cleaning: government, quasi-government, state-owned, nonprofit, international and sports bodies; no private and no abolished entities.

    Source
    The cleaned entity directory (Digital Skills Radar v9)The tool’s author (independent concept); cleaning rules in src/data/gov/README.md · 2026
    Type
    Editorial
    Last reviewed
  12. 424High confidence

    Of the public directory, 424 are government entities in the strict sense.

    Source
    The cleaned entity directory (Digital Skills Radar v9)The tool’s author (independent concept); cleaning rules in src/data/gov/README.md · 2026
    Type
    Editorial
    Last reviewed
  13. 30High confidence

    The public sectors file holds 30 sectors after setting aside the «private sector»; the sectors page lists 29 of them as government sectors, and the «state-owned companies» brief stays reachable from the directory.

    Source
    The cleaned entity directory (Digital Skills Radar v9)The tool’s author (independent concept); cleaning rules in src/data/gov/README.md · 2026
    Type
    Editorial
    Last reviewed
  14. 18High confidence

    Sector aggregates are published for 18 sectors with 10 or more entities with records; smaller sectors are pooled into one row so the sums still equal the national figures.

    Source
    The cleaned entity directory (Digital Skills Radar v9)The tool’s author (independent concept); cleaning rules in src/data/gov/README.md · 2026
    Type
    Editorial
    Last reviewed
  15. editorial inferenceMedium confidence

    Development domains linked to the consulting record are an editorial inference: record counts per category are recorded, the category-to-domain link is a declared assumed weight.

    Consulting requests are not a measure of workforce need; counts and period are shown, without renormalized percentages.

    Source
    The cleaned entity directory (Digital Skills Radar v9)The tool’s author (independent concept); cleaning rules in src/data/gov/README.md · 2026
    Type
    Editorial
    Last reviewed
  16. 147 skillsHigh confidence

    SFIA 9, released in October 2024, contains 147 skills.

    The count is for version 9; version 8 had 121 skills, and the framework is revised periodically.

    Scope
    Global framework of digital-work skills, version 9 · 2024-10
    Source
    SFIA 9 release notes(opens in a new tab)SFIA Foundation · 2024
    Type
    International report or framework
    Last reviewed
  17. 7 levelsHigh confidence

    SFIA 9 describes responsibility at work on 7 levels, from working under guidance to setting strategy.

    SFIA levels describe responsibility and autonomy, not mastery of a single skill.

    Scope
    SFIA 9 levels of responsibility
    Source
    SFIA 9 release notes(opens in a new tab)SFIA Foundation · 2024
    Type
    International report or framework
    Last reviewed
  18. 5 areasHigh confidence

    DigComp organizes its competences into 5 areas.

    Source
    DigComp 2.2: The Digital Competence Framework for Citizens(opens in a new tab)European Commission, Joint Research Centre (JRC) · 2022
    Type
    International report or framework
    Last reviewed
  19. 21 competencesHigh confidence

    DigComp’s five areas hold 21 competences.

    Source
    DigComp 2.2: The Digital Competence Framework for Citizens(opens in a new tab)European Commission, Joint Research Centre (JRC) · 2022
    Type
    International report or framework
    Last reviewed
  20. 8 levelsHigh confidence

    DigComp 2.2 defines 8 proficiency levels for each competence.

    Source
    DigComp 2.2: The Digital Competence Framework for Citizens(opens in a new tab)European Commission, Joint Research Centre (JRC) · 2022
    Type
    International report or framework
    Last reviewed
  21. 4 bandsHigh confidence

    DigComp’s eight levels group into 4 bands: foundation, intermediate, advanced and highly specialised.

    Source
    DigComp 2.2: The Digital Competence Framework for Citizens(opens in a new tab)European Commission, Joint Research Centre (JRC) · 2022
    Type
    International report or framework
    Last reviewed
  22. 4 levelsHigh confidence

    DigComp 3.0, published in November 2025, uses four proficiency levels: Basic, Intermediate, Advanced and Highly advanced, instead of the eight levels of version 2.2.

    Version 3.0 keeps the five areas and 21 competences; the eight levels and four bands belong to version 2.2.

    Scope
    2025-11
    Source
    DigComp 3.0: European Digital Competence Framework, fifth edition(opens in a new tab)European Commission, Joint Research Centre (JRC) · 2025JRC144121, published 2025-11-27; levels listed on the JRC DigComp 3.0 page
    Type
    International report or framework
    Last reviewed
  23. SFIA 1–2Medium confidence

    We editorially align the “Awareness” level with SFIA 9 responsibility levels 1–2.

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against SFIA 9
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  24. DigComp 1–2Medium confidence

    We editorially align the “Awareness” level with the DigComp 2.2 foundation band (levels 1–2).

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against DigComp 2.2 bands
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  25. SFIA 3Medium confidence

    We editorially align the “Application” level with SFIA 9 responsibility levels 3.

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against SFIA 9
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  26. DigComp 3–4Medium confidence

    We editorially align the “Application” level with the DigComp 2.2 intermediate band (levels 3–4).

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against DigComp 2.2 bands
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  27. SFIA 4–5Medium confidence

    We editorially align the “Proficiency” level with SFIA 9 responsibility levels 4–5.

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against SFIA 9
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  28. DigComp 5–6Medium confidence

    We editorially align the “Proficiency” level with the DigComp 2.2 advanced band (levels 5–6).

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against DigComp 2.2 bands
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  29. SFIA 6–7Medium confidence

    We editorially align the “Leadership” level with SFIA 9 responsibility levels 6–7.

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against SFIA 9
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  30. DigComp 7–8Medium confidence

    We editorially align the “Leadership” level with the DigComp 2.2 highly specialised band (levels 7–8).

    An indicative editorial crosswalk, not a direct mapping: the frameworks describe different things (responsibility and autonomy in SFIA, citizen competence in DigComp), and our levels describe applying a work skill in a government role.

    Scope
    The radar’s four levels against DigComp 2.2 bands
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  31. 7 areasHigh confidence

    UNESCO’s Digital Literacy Global Framework has 7 competence areas.

    Source
    A Global Framework of Reference on Digital Literacy Skills for Indicator 4.4.2(opens in a new tab)UNESCO Institute for Statistics (UIS) · 2018Information Paper No. 51, Table 5 (p. 23)
    Type
    International report or framework
    Last reviewed
  32. 26 competencesHigh confidence

    The UNESCO framework has 26 competences: DigComp’s 21 plus five added ones for device and software operations, computational thinking and career-related competences.

    Source
    A Global Framework of Reference on Digital Literacy Skills for Indicator 4.4.2(opens in a new tab)UNESCO Institute for Statistics (UIS) · 2018Information Paper No. 51, Table 5 (p. 23)
    Type
    International report or framework
    Last reviewed
  33. Indicator 4.4.2High confidence

    The framework was developed as the reference for SDG indicator 4.4.2 on the share of youth and adults with at least a minimum level of digital literacy skills.

    Source
    A Global Framework of Reference on Digital Literacy Skills for Indicator 4.4.2(opens in a new tab)UNESCO Institute for Statistics (UIS) · 2018Information Paper No. 51, Table 5 (p. 23)
    Type
    International report or framework
    Last reviewed
  34. 13,939High confidence

    The European ESCO classification, version 1.2, lists about 13,939 skill and knowledge concepts.

    The count is for v1.2.0 (May 2024); the current release is v1.2.1 (December 2025), whose count may differ slightly.

    Source
    ESCO classification of Skills, Competences, Qualifications and Occupations, v1.2(opens in a new tab)European Commission · 2024v1.2.0 (13 May 2024) launch deck: 3,039 occupations, 13,939 skills/competences and knowledge concepts
    Type
    International report or framework
    Last reviewed
  35. 3 tiersHigh confidence

    ITU groups digital skills into 3 tiers: basic, intermediate and advanced.

    Source
    Digital Skills Toolkit(opens in a new tab)International Telecommunication Union (ITU) · 2018
    Type
    International report or framework
    Last reviewed
  36. 5 pillarsHigh confidence

    The Global Cybersecurity Index measures countries’ commitment across 5 pillars, including capacity development.

    Source
    Global Cybersecurity Index 2024(opens in a new tab)International Telecommunication Union (ITU) · 2024
    Type
    International report or framework
    Last reviewed
  37. 194 countriesHigh confidence

    The 2024 Global Cybersecurity Index covered 194 countries.

    Scope
    2024
    Source
    Global Cybersecurity Index 2024(opens in a new tab)International Telecommunication Union (ITU) · 2024
    Type
    International report or framework
    Last reviewed
  38. 39%High confidence

    Employers expect 39% of workers’ existing skill sets to be transformed or become outdated between 2025 and 2030.

    A global estimate from an employer survey; not specific to the Saudi government sector.

    Scope
    Workers at the surveyed employers, worldwide · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025Executive summary, key findings
    Type
    Survey
    Last reviewed
  39. 1,000+High confidence

    The report draws on a survey of more than 1,000 employers representing over 14 million workers across 22 industry clusters and 55 economies.

    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025Executive summary, key findings
    Type
    Survey
    Last reviewed
  40. 1 in 4High confidence

    The ILO estimates that 1 in 4 jobs worldwide is in an occupation with some exposure to generative AI.

    Exposure is not job loss; the report expects most exposed occupations to be transformed rather than replaced. The share is 25% worldwide and 34% in high-income countries.

    Scope
    Global employment · 2025
    Source
    Generative AI and Jobs: A Refined Global Index of Occupational Exposure(opens in a new tab)International Labour Organization (ILO) · 2025ILO Working Paper 140 (ILO–NASK), 20 May 2025
    Type
    International report or framework
    Last reviewed
  41. 6 dimensionsHigh confidence

    The OECD Digital Government Index measures 6 dimensions: digital by design, data-driven public sector, government as a platform, open by default, user-driven and proactiveness.

    A 2025 edition was published on 16 February 2026; move the source to it once its dimensions are matched.

    Source
    2023 OECD Digital Government Index: Results and key findings(opens in a new tab)OECD · 2024OECD Public Governance Policy Papers, 30 January 2024
    Type
    International report or framework
    Last reviewed
  42. 3 pillarsHigh confidence

    The OECD OURdata Index measures 3 pillars: data availability, data accessibility and government support for data re-use.

    Source
    2023 OECD Open, Useful and Re-usable data (OURdata) IndexOECD · 2023
    Type
    International report or framework
    Last reviewed
  43. 193 countriesHigh confidence

    The UN E-Government Survey 2024 assesses all 193 UN member states.

    The survey is biennial; check whether the 2026 edition is out before quoting, and update this claim.

    Scope
    2024
    Source
    United Nations E-Government Survey 2024(opens in a new tab)United Nations, Department of Economic and Social Affairs (UN DESA) · 2024
    Type
    International report or framework
    Last reviewed
  44. 6thHigh confidence

    Saudi Arabia ranked 6th worldwide in the 2024 E-Government Development Index (EGDI).

    Rank 6 of 193 with an EGDI of 0.9602, up from 31st in 2022. No 2026 survey found as of 22 October 2026; update this claim when it is out.

    Scope
    E-Government Development Index, UN member states · 2024
    Source
    United Nations E-Government Survey 2024(opens in a new tab)United Nations, Department of Economic and Social Affairs (UN DESA) · 2024
    Type
    International report or framework
    Last reviewed
  45. 4 componentsHigh confidence

    The GovTech Maturity Index has 4 components: core government systems, public service delivery, digital citizen engagement and GovTech enablers.

    The enablers component includes indicators on public-sector digital-skills programs; the index measures maturity, not the effect of training on productivity.

    Source
    GovTech Maturity Index (GTMI) 2022 Update(opens in a new tab)World Bank · 2022
    Type
    International report or framework
    Last reviewed
  46. 198 economiesHigh confidence

    The 2022 GovTech Maturity Index update covered 198 economies.

    The 2025 update covers 197 economies and is the current edition.

    Scope
    2022
    Source
    GovTech Maturity Index (GTMI) 2022 Update(opens in a new tab)World Bank · 2022
    Type
    International report or framework
    Last reviewed
  47. 3 factorsHigh confidence

    The IMD World Digital Competitiveness Ranking measures 3 factors: knowledge, technology and future readiness.

    Source
    IMD World Digital Competitiveness Ranking: methodology(opens in a new tab)IMD World Competitiveness Center
    Type
    International report or framework
    Last reviewed
  48. +195%Medium confidence

    In its 2025 report, Coursera reported 195% year-on-year growth in generative-AI course enrollments on its platform.

    Enrollment data from a commercial platform about its own learners, not labour-market demand.

    Scope
    Learners on the Coursera platform · 2024–2025
    Source
    Global Skills Report 2025(opens in a new tab)Coursera · 2025p. 2 (executive summary)
    Type
    Self-reported data
    Last reviewed
  49. #1Medium confidence

    LinkedIn ranked “AI literacy” 1st in its U.S. Skills on the Rise list for 2025.

    Lists differ by country, and the 2026 edition switched to lists by job function. Platform data; it does not represent the Saudi labour market or the government sector.

    Scope
    LinkedIn members and job postings in the United States · 2025
    Source
    Skills on the Rise 2025(opens in a new tab)LinkedIn · 2025U.S. list of 15; secondary coverage of LinkedIn News (LinkedIn’s own post not retrieved)
    Type
    Self-reported data
    Last reviewed
  50. 115 skills · 4 levelsMedium confidence

    Qatar’s Digital Skills Framework lists 115 skills across 4 proficiency levels.

    Matched to Qatar News Agency coverage of the launch (115 skills in 19 categories, four levels); the document itself was not read.

    Scope
    2025
    Source
    Digital Skills Framework 2025(opens in a new tab)Ministry of Communications and Information Technology, Qatar · 2025Launched February 2025; counts per QNA interview with MCIT, 18 May 2025
    Type
    Official source
    Last reviewed
  51. 8 domainsHigh confidence

    The radar covers 8 domains of digital capability in government work.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  52. 40 skillsHigh confidence

    The radar holds 40 skills, five per domain.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  53. 5 skillsHigh confidence

    Each domain has 5 skills, and each skill one self-assessment statement.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  54. 4 levelsHigh confidence

    The radar uses one scale of 4 levels: awareness, application, proficiency and leadership.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  55. 0–4High confidence

    Each skill is self-rated on a 0–4 scale, with a behavioural description for each point.

    Self-rating: it describes your view of your ability, not your actual performance.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  56. 1.25 · 2.25 · 3.25Low confidence

    A domain score (the mean of its skill ratings) converts to a level at the thresholds 1.25, 2.25 and 3.25.

    Declared editorial thresholds not derived from data: no normative sample and no standard-setting session.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  57. 5 categoriesHigh confidence

    Users choose one of 5 role categories: general, applied, specialist, team leadership and executive.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  58. 40 scenariosHigh confidence

    The professional-judgment bank holds 40 scenarios: one per domain for each role category.

    Editorial scenarios, not field-tested.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  59. 0–3Low confidence

    Each scenario has 4 options scored 0 to 3 by the maturity of the response.

    The scoring keys are an editorial judgment, not statistically validated.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  60. 40 questionsHigh confidence

    The knowledge-check bank holds 40 questions, five per domain.

    Editorial questions covering foundational knowledge only, not field-tested.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  61. 3 questionsHigh confidence

    Consistency between self-rating and the knowledge check is not judged in a domain before at least 3 of its questions are answered.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  62. 3 prioritiesHigh confidence

    The priority engine suggests at most 3 development priorities, each with a stated reason.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  63. 24 rolesHigh confidence

    The role library holds 24 roles referenced to SFIA 9, each with an indicative development target.

    Targets are indicative and editorial, not job standards or appointment criteria.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  64. 90 daysHigh confidence

    Your plan for the next 90 days is split into 13 weekly steps.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  65. 48 technologiesHigh confidence

    The “technologies changing government work” list holds 48 technologies in 6 clusters, each with the skills it requires.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  66. 0–2 · 2–5 · 5–10 yearsMedium confidence

    Three adoption horizons: now (0–2 years), near term (2–5 years) and long term (5–10 years).

    Placing each technology on a horizon is an editorial desk judgment, not an official forecast.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  67. TRL 1–9Low confidence

    Each technology’s global maturity is rated on the 1–9 Technology Readiness Level (TRL) scale.

    It describes global maturity, not adoption maturity in Saudi Arabia, and appears in the details with an “editorial” badge.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  68. 7,915Medium confidence

    The training sheets in the two source workbooks total 7,915 training participation records up to the end of Q3 2026.

    Participation records, not unique people. It is the figure the tool publishes until the owner confirms the final figure.

    Scope
    Entities served by training, national level · 2021 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  69. 2,873Medium confidence

    The consulting sheets in the two source workbooks total 2,873 consulting services up to the end of Q3 2026.

    It is the figure the tool publishes until the owner confirms the final figure.

    Scope
    Entities served by consulting, national level · 2023 → 2026-09-30
    Source
    Two source workbooks: the enablement service records, and the entity and sector directoryInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  70. 7,935Low confidence

    The methodology prose accompanying the two source workbooks states 7,935 training records.

    It does not match the sheet totals themselves; stated for transparency, not adopted.

    Source
    Methodology prose accompanying the two source workbooksInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  71. 2,918Low confidence

    The methodology prose accompanying the two source workbooks states 2,918 consulting services.

    It does not match the sheet totals themselves; stated for transparency, not adopted.

    Source
    Methodology prose accompanying the two source workbooksInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  72. 7,891Medium confidence

    The program’s live register shows 7,891 training records after de-duplication, verified on 18 October 2026.

    It differs from the sheet total because of the cut-off date, filtering and de-duplication.

    Scope
    2026-10-18
    Source
    Live register of the government digital-skills programInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  73. 2,918Medium confidence

    The program’s live register shows 2,918 consulting services, verified on 18 October 2026.

    It differs from the sheet total because of the cut-off date and filtering.

    Scope
    2026-10-18
    Source
    Live register of the government digital-skills programInternal records of the government digital-skills program and the consulting and studies platform · 2026Internal, unpublished record
    Type
    Official source
    Last reviewed
  74. n ≥ 10High confidence

    The public build shows a sector aggregate only for sectors with at least 10 entities that have records.

    A privacy rule that prevents identifying a single entity from a small aggregate.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  75. 0.7 · 0.3Low confidence

    The “digital strategies” category is split editorially: Digital Policy & Governance 0.7, Digital Leadership & Collaboration 0.3.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  76. 0.7 · 0.3Low confidence

    The “technical infrastructure planning and enablement” category is split editorially: Cloud & Digital Infrastructure 0.7, Cybersecurity & Digital Trust 0.3.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference. Cybersecurity never exceeds 0.3 of one category because national cybersecurity services are not part of these consultations; it therefore appears less in the indicator, which does not mean it is needed less.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  77. 0.8 · 0.2Low confidence

    The “innovation and emerging technologies” category is split editorially: Emerging Technologies 0.8, AI & Data 0.2.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  78. 0.6 · 0.4Low confidence

    The “institutional excellence and business continuity” category is split editorially: Agile Product & Delivery 0.6, Digital Leadership & Collaboration 0.4.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  79. 0.6 · 0.4Low confidence

    The “investment and digital services” category is split editorially: Service Design 0.6, Digital Policy & Governance 0.4.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  80. 0.8 · 0.2Low confidence

    The “data and integration” category is split editorially: AI & Data 0.8, Cloud & Digital Infrastructure 0.2.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  81. 0.6 · 0.4Low confidence

    The “digital performance indicators” category is split editorially: AI & Data 0.6, Agile Product & Delivery 0.4.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  82. 0.6 · 0.4Low confidence

    The “excellence and competitiveness” category is split editorially: Digital Leadership & Collaboration 0.6, Digital Policy & Governance 0.4.

    An assumed weight, not a measurement. Consulting requests from entities are not a measure of workforce need; the result is an approximate indicator and an editorial inference.

    Scope
    Mapping consulting categories to the eight domains
    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  83. 12 monthsHigh confidence

    Any claim last reviewed more than 12 months ago is flagged as needing review.

    Source
    Digital Skills Radar: method and content bank, v9The tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  84. 170 millionMedium confidence

    The Future of Jobs Report 2025 expects 170 million new jobs to be created worldwide between 2025 and 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Global employment (projection) · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  85. 92 millionMedium confidence

    The same report expects 92 million jobs to be displaced over the same period.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Global employment (projection) · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  86. 78 millionMedium confidence

    The expected net change is a gain of about 78 million jobs worldwide by 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Global employment (projection) · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  87. #1Medium confidence

    AI and big data rank #1 among the fastest-growing skills to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  88. #2Medium confidence

    Networks and cybersecurity rank #2 among the fastest-growing skills to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  89. top 5Medium confidence

    Creative thinking is among the top 5 rising skills in employers’ expectations to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  90. top 10Medium confidence

    Environmental stewardship entered the report’s top 10 fastest-growing skills for the first time.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  91. 7 in 10Medium confidence

    About 7 in 10 employers see analytical thinking as a core skill, the first of the report’s core skills.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  92. 60%Medium confidence

    60% of employers see broadening digital access as the most transformative trend for their business to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  93. 58%Medium confidence

    58% of employers expect robots and autonomous systems to transform their business to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  94. 77%Medium confidence

    77% of employers plan to reskill and upskill their workforce to work alongside AI.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  95. 40%Medium confidence

    40% of employers expect to reduce staff where AI can automate tasks.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  96. #3Medium confidence

    Data-entry clerks rank #3 among the fastest-declining jobs worldwide to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  97. top 10Medium confidence

    Accounting, bookkeeping and payroll clerks are among the 10 fastest-declining jobs worldwide to 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  98. just outside the top 10Medium confidence

    Graphic designers sit just outside the 10 fastest-declining jobs, the first time the report has predicted their decline.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  99. among the largest declinesMedium confidence

    Administrative assistants and executive secretaries are among the largest declines in absolute numbers.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025
    Type
    International report or framework
    Last reviewed
  100. +165%Medium confidence

    Learner enrollments from Saudi Arabia in generative-AI courses on Coursera grew by about +165% in a year.

    A figure the platform publishes about its own learners; it describes its enrollees, not the labour market. Matched to the report text.

    Scope
    Coursera learners in Saudi Arabia · 2024–2025
    Source
    Global Skills Report 2025(opens in a new tab)Coursera · 2025p. 54, Saudi Arabia profile
    Type
    Self-reported data
    Last reviewed
  101. +61%Medium confidence

    Learner enrollments from Saudi Arabia in cybersecurity courses on Coursera grew by about +61% in a year.

    A figure the platform publishes about its own learners; it describes its enrollees, not the labour market. Matched to the report text.

    Scope
    Coursera learners in Saudi Arabia · 2024–2025
    Source
    Global Skills Report 2025(opens in a new tab)Coursera · 2025p. 54, Saudi Arabia profile
    Type
    Self-reported data
    Last reviewed
  102. more than 45 enrollments per minuteMedium confidence

    Coursera reports more than 45 generative-AI enrollments per minute across Coursera and Udemy combined, up from 25 per minute in 2025.

    A figure the platform publishes about its own learners; it describes its enrollees, not the labour market. Matched to the report text.

    Scope
    Coursera and Udemy learners worldwide (combined) · 2026
    Source
    Global Skills Report 2026(opens in a new tab)Coursera · 2026Coursera blog, 28 September 2026
    Type
    Self-reported data
    Last reviewed
  103. +107%Medium confidence

    Enrollments in critical-thinking courses on Coursera grew by about +107% in a year.

    A figure the platform publishes about its own learners; it describes its enrollees, not the labour market. Matched to the report text.

    Scope
    Platform learners worldwide (the report pools Coursera and Udemy data) · 2025–2026
    Source
    Global Skills Report 2026(opens in a new tab)Coursera · 2026Coursera blog, 28 September 2026
    Type
    Self-reported data
    Last reviewed
  104. growing demandLow confidence

    Coursera says learner interest in AI agents, their orchestration and security reveals growing demand.

    A figure the platform publishes about its own learners; it describes its enrollees, not the labour market, and was not matched to the source text in this review.

    Scope
    Coursera learners worldwide · 2026
    Source
    Global Skills Report 2026(opens in a new tab)Coursera · 2026Coursera blog, 28 September 2026
    Type
    Self-reported data
    Last reviewed
  105. 4.8 millionMedium confidence

    The 2024 ISC2 study put the global cybersecurity workforce gap at about 4.8 million people.

    An estimated gap from the ISC2 survey, not a count of vacancies. The 2025 edition focused on skills gaps rather than headcount and, per published coverage, gave no comparable figure.

    Scope
    Global cybersecurity workforce · 2024
    Source
    2024 ISC2 Cybersecurity Workforce Study(opens in a new tab)ISC2 · 2024First-look release, 11 September 2024
    Type
    Survey
    Last reviewed
  106. 50%Medium confidence

    Saudi Arabia targets about 50% of electricity from renewable sources by 2030.

    A declared target, not an achieved measurement; check the direct link to the official document.

    Scope
    Saudi electricity generation mix · 2030
    Source
    Saudi National Renewable Energy Program (NREP): policy database entry(opens in a new tab)International Energy Agency (IEA)
    Type
    Official source
    Last reviewed
  107. Editorial ratingLow confidence

    Each domain’s rating (growing strongly, growing, stable, declining) is an editorial judgment that combines the signals listed with it.

    An indicative signal, not an official forecast or a guarantee; transferring global trends to Saudi government work is an editorial inference.

    Scope
    2026–2030
    Source
    Digital Skills Radar: the 2030 skills layerThe tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  108. 76%Medium confidence

    The Emerging Technologies Adoption Readiness Index reached an overall 76.04% in its fourth cycle (2026), across 54 participating government entities, up from 74.69% in 2025.

    The figure is from the authority’s announcement as reported on 22 April 2026; no report page was found on the DGA site. The index measures the readiness of participating entities, not all government entities.

    Scope
    54 government entities that took part · 2026
    Source
    Emerging Technologies Adoption Readiness Index 2026 (fourth cycle)(opens in a new tab)Digital Government Authority (DGA) · 2026DGA announcement, 22 April 2026, as reported by Asharq Al-Awsat
    Type
    Official source
    Last reviewed
  109. Editorial mappingMedium confidence

    Linking each technology to the skills it requires from the radar’s skill list is an editorial judgment, not an official standard.

    This is an independent reading, not any organization’s official technology radar.

    Source
    Digital Skills Radar: technology-to-skill mappingThe tool’s author (independent concept) · 2026
    Type
    Editorial
    Last reviewed
  110. 1 in 4High confidence

    The ILO estimates that about 1 in 4 jobs worldwide are in occupations with some degree of exposure to generative AI.

    Exposure means some tasks can be done by the tool, not that the job will disappear. The share is 25% worldwide and 34% in high-income countries.

    Scope
    Global employment · 2025
    Source
    Generative AI and Jobs: A Refined Global Index of Occupational Exposure(opens in a new tab)International Labour Organization · 2025ILO Working Paper 140 (ILO–NASK), 20 May 2025
    Type
    International report or framework
    Last reviewed
  111. Most exposed groupHigh confidence

    In the same ILO study, clerical and administrative support work remains the occupational group most exposed to generative AI.

    Mapping government job families to ISCO groups is approximate.

    Scope
    ISCO major occupational groups · 2025
    Source
    Generative AI and Jobs: A Refined Global Index of Occupational Exposure(opens in a new tab)International Labour Organization · 2025ILO Working Paper 140 (ILO–NASK), 20 May 2025
    Type
    International report or framework
    Last reviewed
  112. Transformation, not replacementMedium confidence

    The study finds that for most exposed jobs, transformation of tasks is more likely than full replacement, because parts of the work still need human input.

    Scope
    2025
    Source
    Generative AI and Jobs: A Refined Global Index of Occupational Exposure(opens in a new tab)International Labour Organization · 2025ILO Working Paper 140 (ILO–NASK), 20 May 2025
    Type
    International report or framework
    Last reviewed
  113. 39%Medium confidence

    Employers expect 39% of workers’ existing skill sets to be transformed or become outdated between 2025 and 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025Executive summary, key findings
    Type
    International report or framework
    Last reviewed
  114. 86%High confidence

    86% of employers expect AI and information-processing technologies to transform their business by 2030.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025Executive summary, key findings
    Type
    International report or framework
    Last reviewed
  115. 63%Medium confidence

    Skill gaps are the biggest barrier to business transformation through 2030, named as a major barrier by 63% of employers.

    Global employer expectations, not a measurement of the Saudi public sector.

    Scope
    Employers surveyed worldwide for the report · 2025–2030
    Source
    The Future of Jobs Report 2025(opens in a new tab)World Economic Forum · 2025Executive summary, key findings
    Type
    International report or framework
    Last reviewed
  116. 1 of 6 dimensionsHigh confidence

    The OECD Digital Government Policy Framework names a “data-driven public sector” as one of 6 dimensions of a digital government.

    Source
    The OECD Digital Government Policy Framework: Six Dimensions of a Digital Government(opens in a new tab)OECD · 2020OECD Public Governance Policy Papers No. 02
    Type
    International report or framework
    Last reviewed
  117. 2 of 6 dimensionsHigh confidence

    The same framework lists “user-driven” and “government as a platform” among its six dimensions: services built around user needs and improved continuously.

    Source
    The OECD Digital Government Policy Framework: Six Dimensions of a Digital Government(opens in a new tab)OECD · 2020OECD Public Governance Policy Papers No. 02
    Type
    International report or framework
    Last reviewed
  118. 6th of 193High confidence

    The UN E-Government Survey 2024 assesses digital government in 193 countries and publishes the rankings; Saudi Arabia ranked 6th globally on the E-Government Development Index.

    Rank 6 of 193 with an EGDI of 0.9602 in the index table. No 2026 survey found as of 22 October 2026.

    Scope
    UN member states · 2024
    Source
    UN E-Government Survey 2024(opens in a new tab)United Nations DESA · 2024E-Government Development Index (EGDI), annex table
    Type
    International report or framework
    Last reviewed
  119. September 2024High confidence

    The Personal Data Protection Law came into force in September 2023, and the compliance grace period for organisations ended in September 2024.

    The law took effect on 14 September 2023; the one-year grace period ended on 14 September 2024.

    Scope
    Organisations processing personal data in Saudi Arabia
    Source
    Personal Data Protection Law (PDPL)(opens in a new tab)Saudi Data & AI Authority (SDAIA) · 2023
    Type
    Official source
    Last reviewed
  120. MandatoryHigh confidence

    The NCA Essential Cybersecurity Controls are mandatory for government entities and include cybersecurity awareness and training.

    The current edition is ECC-2:2024; awareness and training are subdomain 1-10.

    Scope
    Government entities
    Source
    Essential Cybersecurity Controls (ECC-2:2024)(opens in a new tab)National Cybersecurity Authority (NCA) · 2024Scope of Work and Applicability; subdomain 1-10; domain 4
    Type
    Official source
    Last reviewed
  121. A dedicated domainHigh confidence

    The same controls dedicate domain 4 to third-party and cloud-computing cybersecurity, so security terms become part of every technology contract.

    Scope
    Government entities
    Source
    Essential Cybersecurity Controls (ECC-2:2024)(opens in a new tab)National Cybersecurity Authority (NCA) · 2024Scope of Work and Applicability; subdomain 1-10; domain 4
    Type
    Official source
    Last reviewed
  122. 2024Medium confidence

    In 2024 SDAIA issued generative AI guidelines for government entities, and a separate set for the public.

    Matched to published legal sources; the authority’s site blocks automated reading, so the original document was not machine-read.

    Source
    Generative AI Guidelines for Government(opens in a new tab)Saudi Data & AI Authority (SDAIA) · 2024Government version 10 January 2024; public version 11 January 2024
    Type
    Official source
    Last reviewed
  123. 7 principlesMedium confidence

    SDAIA’s AI Ethics Principles set out 7 principles, including accountability and responsibility, and transparency and explainability.

    Matched to published legal sources; the authority’s site blocks automated reading, so the original document was not machine-read.

    Source
    AI Ethics Principles(opens in a new tab)Saudi Data & AI Authority (SDAIA) · 2023Seven principles, September 2023
    Type
    Official source
    Last reviewed
  124. Binding on government entitiesMedium confidence

    The National Data Management Office standards require government entities to govern their data, with clear roles for data ownership and quality.

    Matched to published legal sources; the authority’s site blocks automated reading, so the original document was not machine-read.

    Scope
    Government entities
    Source
    Data Management and Personal Data Protection Standards(opens in a new tab)National Data Management Office (NDMO)
    Type
    Official source
    Last reviewed
  125. Editorial estimateLow confidence

    Placing tasks in the four lanes is an editorial reading of 2026–2030 trends based on published signals, not a measurement of any entity or job.

    Scope
    2026–2030
    Source
    Digital Skills Radar — editorial readingEditorial team · 2026
    Type
    Editorial
    Last reviewed
  126. Editorial estimateLow confidence

    The target level per domain on a role sheet is an editorial guide taken from the role library, not a job requirement.

    Source
    Digital Skills Radar — editorial readingEditorial team · 2026
    Type
    Editorial
    Last reviewed
  127. Editorial estimateLow confidence

    The leader judgment check scenarios and the ordering of their options are editorial and not yet field-tested; they are a thinking exercise, not an assessment instrument.

    Source
    Digital Skills Radar — editorial readingEditorial team · 2026
    Type
    Editorial
    Last reviewed
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