evaluation for every agent-tool interaction, with full audit trails via Amazon CloudWatch.
3.5 Close the skills gap through structured enablement
Skills shortages are the most-cited barrier across the region( 37 % Nordic average, rising to 62 % in Finland). Hiring alone cannot solve this: AI / ML vacancy rates in the Netherlands and Belgium are already double the EU average. Organisations must combine external hiring with internal upskilling programmes, federated operating models that concentrate specialist expertise in a central team while business units develop domain knowledge and partnership models that accelerate time-to-capability.
How AWS supports this: AWS Training and Certification, AI / ML Specialist Solutions Architects and the AgenticAI @ Scale programme provide structured enablement from foundational literacy through production architecture. The train-the-trainer model builds internal champions who scale knowledge without creating dependency on external teams.
NEXT STEPS
Three questions determine whether your organisation captures the agentic AI advantage:
1. Which of your highest-cost, most labour-intensive processes could an autonomous agent complete in seconds or minutes rather than hours or days?
2. Do you have the five foundational pillars in place to move that agent from prototype to production?
3. Who in your organisation have the answer to questions 1 and 2 today?
If you do not have clear answers, that is the starting point. AWS’ s GenAI Readiness Assessment provides a structured evaluation of your agentic AI maturity, benchmarked against industry peers, with a prioritised roadmap as output. The assessment requires approximately one day of your leadership team’ s time across three sessions. Contact your AWS account team to begin.
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Gartner, 2025
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McKinsey Technology Trends Outlook, 2024
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McKinsey, 2026
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AI infrastructure labor: What GPU setup really costs, CIQ, 2026
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S & P Global, 2025
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Zapier, 2025
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Gartner, 2025
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Gartner( 2025)
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