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Oracle Fusion Cloud HCM expands Dynamic Skills with generative AI in Release 26A

Oracle Dynamic Skills began in 2021; Release 26A adds generative-AI and agent-assisted recommendations, while affected legacy configurations must migrate before Release 26B.
From TheFinanceBase Team6 min to read
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Oracle Dynamic Skills is not a brand-new 2026 product. Oracle launched the skills-management foundation in 2021 and later embedded it in Oracle Grow. The current change is a move from earlier predictive recommendations to generative-AI and, in some workflows, AI-agent-assisted suggestions in Fusion Cloud HCM Release 26A. Customers still using affected legacy configurations need to plan for Oracle’s Release 26B support cutoff.

What Oracle Dynamic Skills does

Dynamic Skills is Oracle Fusion Cloud HCM’s skills-management foundation. It organizes skills in enterprise and organization-specific libraries, associates them with people and jobs, and connects them with learning, recruiting, career development, gigs and internal mobility.

The system can recommend skills for workers, job profiles, requisitions, learning items and other talent objects. Those recommendations can help identify capability gaps and suggest development opportunities, but an inferred skill is not automatically a verified employee qualification.

Oracle first announced the AI-powered Dynamic Skills solution on June 23, 2021, to provide continuously updated skills insights. Oracle’s announcement predates the current generative-AI release by several years.

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Dynamic Skills, Oracle Grow and the 26A update

Dynamic Skills is the underlying skills layer

Dynamic Skills supplies the catalog, relationships, enrichment and recommendation capabilities used across Fusion HCM. It can draw context from profiles, jobs, learning content, recruiting and other HCM records.

Oracle Grow is the employee experience

Oracle Grow uses skills and talent data to connect learning, career options, development journeys and recommendations. Oracle announced the AI-powered Grow solution on May 8, 2024, including a seeded skills library and the ability to consolidate internal and third-party skills data. See the Oracle Grow announcement and Oracle’s product page.

Release 26A modernizes recommendations

Release 26A adds enhanced generative-AI skill suggestions for areas including Skills Center, learning-item creation and editing, job profiles, job requisitions, gigs and related talent workflows. Oracle documents three recommendation modes for relevant profile options:

Mode What it uses Important qualification
Legacy Predictive-AI recommendations Oracle says this option will not be available beginning with 26B.
Next Generation Generative-AI recommendations Requires the documented Enhanced Dynamic Skills and data-preparation setup.
Next Generation with Workflow Agents Generative AI plus agents configured through Oracle AI Agent Studio Requires additional services, security, permission groups and explicit agent access.

Oracle’s 26A readiness documentation describes these changes as setup-dependent; they are not a universal one-click upgrade.

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How the AI works

Predictive recommendations

Earlier Dynamic Skills experiences used machine-learning and recommender techniques to infer likely skills from available HCM data and suggest additions or relationships.

Generative-AI suggestions

The 26A experience uses generative AI to produce more contextual suggestions for supported surfaces. Oracle provides separate profile options for Skills Center and other skill-suggestion scenarios, so administrators must identify which experience they are configuring.

Workflow agents

Workflow-agent assistance is an additional operating model, not merely a synonym for generative AI. Oracle lists requirements involving Oracle Applications Platform services, external-application integration security, permission groups and access to the relevant agents. Treat agent recommendations as governed workflow output, with review and audit controls.

Where employees and administrators encounter Dynamic Skills

  • Employee and person profiles
  • Skills Center and Team Skills Center
  • Job profiles, positions and requisitions
  • Recruiting and learning items
  • Career development and development journeys
  • Gigs and Opportunity Marketplace
  • Oracle Grow

Skills Center is a Dynamic Skills subscriber and can be configured as a content-section destination in talent profiles. Oracle University’s Dynamic Skills course also identifies these as major implementation surfaces.

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What changes before Release 26B

Oracle’s 26A readiness notices say that, starting with 26B, legacy Dynamic Skills and predictive-AI suggestions will no longer be supported in affected scenarios. The impact is configuration-specific rather than universal.

  • Skills sections subscribed to Skills Center are subject to the Enhanced Dynamic Skills migration requirement described by Oracle.
  • Non-Skills Center skill sections remain supported under the conditions in Oracle’s notice.
  • Affected product areas can include Profile Management, Learning, Recruiting, Journeys, Gigs, Opportunity/Talent Marketplace and Grow, depending on deployment.

Review Oracle’s notices for Enhanced Dynamic Skills migration and predictive-AI migration against your exact release and configuration.

Administrator implementation path

Menu labels and prerequisites can change with quarterly releases. Use this sequence as a planning checklist, then confirm it in your environment’s current Oracle documentation.

  1. Inventory the current state. Record whether each surface uses legacy Dynamic Skills, Enhanced Dynamic Skills, predictive AI, generative AI or workflow agents.
  2. Confirm Redwood readiness. Oracle says applications subscribed to a Skills Center content section must use the Redwood experience before the preparation process. Recruiting migration scenarios also require Redwood.
  3. Run the preparation process. Open the scheduled process Prepare Application for Skills Enrichment. Run it first in Preview mode, resolve exceptions, then run Upgrade mode. Oracle documents that this can create or configure the Skills template, Oracle Dynamic Skills Seed Library, organization Skills Library and a Skills Center section where needed. See Oracle’s enabling guide.
  4. Activate the AI application. Go to Tools → AI Apps Administration → Dynamic Skills → Activate App. Oracle says Dynamic Skills also requires AI Talent Best Match. Activation can remain in Processing for approximately 5–20 minutes. The documented administrator role is generally Application Implementation Consultant or a custom role with the required adaptive-intelligence privileges. See Oracle’s activation instructions.
  5. Enable the skills assistant. Set ORA_HRT_AI_SKILLS_ASSISTANT to Yes at the site level when required by the implementation guide.
  6. Prepare ingestion and summaries. The older process, Synchronize Talent Data for AI Recommendations, is being replaced or supplemented for the enhanced path by Create Summaries Using Generative AI. Oracle requires organization context in ORA_WLF_AI_COMPANY_INFO for the newer process. Stop the old job where Oracle’s migration instructions require it and schedule the generative-AI process recurrently. Processing can take approximately 8–12 hours after scheduled ingestion, depending on data volume. See the ingestion documentation.
  7. Select and test a recommendation mode. Review ORA_HRT_SKILLS_CENTER_SUGGESTIONS and ORA_HRT_SKILL_SUGGESTIONS. Choose Next Generation or the agent-assisted mode only after validating security, relevance, language behavior and workflow dependencies.
  8. Set governance and security. Define who can view or edit skills, whether managers can use Team Skills Center, which suggestions require approval, how corrections are recorded and which administrators can use AI Agent Studio.
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Licensing versus implementation cost

Oracle stated in February 2024 that Dynamic Skills was included at no additional charge with Oracle Core HCM subscriptions, and later described Fusion Cloud HCM AI capabilities as available without additional charge. That is an entitlement statement, not a guarantee that deployment costs nothing.

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Verify your order form, product edition, geography and subscription date with Oracle. Budget separately for configuration, Redwood adoption, data cleanup, taxonomy governance, integrations, testing, training, change management, third-party learning content and any agent-related services. Public material does not establish a universal list price for the complete HCM, Grow or implementation package.

Benefits and limitations

Where Oracle is strongest

  • Native links between skills, profiles, learning, recruiting, career development and internal opportunities.
  • A seeded library plus organization-specific catalogs.
  • One HCM data context for recommendations and workforce planning.
  • Personalized development pathways through Oracle Grow.

What can undermine results

  • Short or outdated job descriptions and incomplete worker profiles.
  • Duplicate, ambiguous or obsolete skill names.
  • Weak descriptions in learning content.
  • Insufficient ingestion schedules or failed scheduled processes.
  • Assuming an AI-inferred skill is an employee-verified capability.
  • Ignoring language, regional terminology and translation coverage.

Assign ownership for taxonomy versioning, regional review, retiring obsolete skills and handling employee challenges. Pilot with human approval before allowing automatic profile enrichment, especially where skills influence hiring, promotion, learning access or workforce decisions.

How it compares with alternatives

Option Natural fit Main comparison point
Workday Skills Cloud Organizations already standardized on Workday Native Workday HCM and talent integration versus Oracle’s Fusion and Grow ecosystem
SAP SuccessFactors Talent Intelligence Hub SAP-centered enterprises Skills and competencies integrated with SuccessFactors processes
Cornerstone Skills Graph Companies prioritizing specialist learning, mobility and skills intelligence Dedicated talent-platform depth versus Oracle’s native HCM model
Specialist skills vendors Buyers needing external labor-market data, advanced ontologies or multi-HCM interoperability Potentially deeper taxonomy or market intelligence, with an added integration and governance layer

The practical decision is usually ecosystem-led: native HCM integration, external labor-market intelligence, learning and mobility depth, taxonomy sophistication, interoperability, implementation effort and explainability.

Questions to take to Oracle or an implementation partner

  • Which Dynamic Skills entitlement and edition are in our contract?
  • Which applications use legacy Dynamic Skills or predictive-AI suggestions today?
  • Which of our Skills Center sections must migrate before 26B?
  • Are Redwood, AI Talent Best Match, AI Apps activation and ingestion jobs ready?
  • What data is sent to connected AI services, and how is access controlled?
  • Can every recommendation require human approval, and how are corrections audited?
  • What language coverage and testing are available for our regions?
  • Which work is Oracle licensing, and which is consulting, data remediation or ongoing governance?

The Bottom Line

Oracle Dynamic Skills is an established Fusion HCM capability now being upgraded with generative-AI recommendations. For customers on affected legacy or predictive configurations, the important action is not simply turning on an AI feature: it is assessing the 26B migration impact, preparing Redwood and skills data, scheduling ingestion, selecting the right recommendation mode and establishing human governance.

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