AI Skills Now Pervasive for Tech Jobs

AI roles now dominate tech market growth, according to ICT in Motion: The Next Wave of AI Integration, a new report from the AI Workforce Consortium.

Led by Cisco, the Consortium is a private sector collaboration that includes Accenture, Cornerstone, Eightfold AI, Google, IBM, Indeed, Intel, Microsoft and SAP.

Key Findings from the 2025 Report:

  • AI Skills Are Now Pervasive for Tech Jobs: 78% of the job roles analyzed include AI skills, highlighting a shift in role requirements across the G7.
  • AI Roles Dominate Technology Job Market Growth: 7 of the 10 fastest-growing ICT roles are AI-related, including AI/ML Engineer, AI Risk & Governance Specialist and NLP Engineer.
  • AI Ethics and Governance Skills Remain Critical: Demand for skills in AI Governance is +150% and AI Ethics +125%, reflecting the need for expertise at the intersection of technology, law and ethics.
  • Critical Technical Skills Deficit and Rising Importance of Human Skills: The skills deficit has reached critical levels in areas such as generative AI, large language models (LLMs), prompt engineering, AI ethics and AI security, while human skills like communication, collaboration and leadership are increasingly prioritized for responsible technology adoption.
  • Surge in Specialized AI Skills: The AI landscape is quickly shifting from chatbots to agents, driving demand for specialized skills, including AI security +298%, foundation model adaptation +267%, responsible AI +256% and multi-agent systems +245%.
  • Accelerated AI Job Growth Driven by Tech Hubs: Silicon Valley leads with a 156% increase in AI jobs, followed by London and Toronto, underscoring their status as global AI powerhouses, while Manchester, Lyon and Vancouver are emerging hubs with over 70% AI job growth.

Methodology: The report is based on extensive job posting data from Cornerstone and Indeed between July 2024 to June 2025 across G7 countries, including Canada, France, Germany, Italy, Japan, the UK and the United States, this latest edition arrives at a pivotal moment as AI continues to reshape economies, societies and global governance.

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AI Skills Now Pervasive for Tech Jobs

AI roles now dominate tech market growth, according to ICT in Motion: The Next Wave of AI Integration, a new report from the AI Workforce Consortium.

Led by Cisco, the Consortium is a private sector collaboration that includes Accenture, Cornerstone, Eightfold AI, Google, IBM, Indeed, Intel, Microsoft and SAP.

Key Findings from the 2025 Report:

  • AI Skills Are Now Pervasive for Tech Jobs: 78% of the job roles analyzed include AI skills, highlighting a shift in role requirements across the G7.
  • AI Roles Dominate Technology Job Market Growth: 7 of the 10 fastest-growing ICT roles are AI-related, including AI/ML Engineer, AI Risk & Governance Specialist and NLP Engineer.
  • AI Ethics and Governance Skills Remain Critical: Demand for skills in AI Governance is +150% and AI Ethics +125%, reflecting the need for expertise at the intersection of technology, law and ethics.
  • Critical Technical Skills Deficit and Rising Importance of Human Skills: The skills deficit has reached critical levels in areas such as generative AI, large language models (LLMs), prompt engineering, AI ethics and AI security, while human skills like communication, collaboration and leadership are increasingly prioritized for responsible technology adoption.
  • Surge in Specialized AI Skills: The AI landscape is quickly shifting from chatbots to agents, driving demand for specialized skills, including AI security +298%, foundation model adaptation +267%, responsible AI +256% and multi-agent systems +245%.
  • Accelerated AI Job Growth Driven by Tech Hubs: Silicon Valley leads with a 156% increase in AI jobs, followed by London and Toronto, underscoring their status as global AI powerhouses, while Manchester, Lyon and Vancouver are emerging hubs with over 70% AI job growth.

Methodology: The report is based on extensive job posting data from Cornerstone and Indeed between July 2024 to June 2025 across G7 countries, including Canada, France, Germany, Italy, Japan, the UK and the United States, this latest edition arrives at a pivotal moment as AI continues to reshape economies, societies and global governance.

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Clearing the Path to AI: Why Vendor Consolidation Matters Now

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

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Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

Observability at a Crossroads: AI, Economics, Complexity and the Enduring Power of Open Source

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

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AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

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