EU proposes KIDS Act, EY reports AI governance gaps, and Gartner assesses job impacts
What this edition covers
5 AI tools and development stories curated from seven sources on 18 September 2026, including Proposal for EU KIDS Act - 'EU Keeping Internet Digital Spaces Accountable and Trustworthy'; Businesses sidestep AI governance policies as concerns mount; AI failures often trace back to poor data foundation: survey.
Tools and stories covered
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1. EU Digital Strategy (AI Act/policy)
Proposal for EU KIDS Act - 'EU Keeping Internet Digital Spaces Accountable and Trustworthy'
- Summary
- The European Commission has proposed the EU KIDS Act to regulate online platforms and artificial intelligence systems accessible to minors. The proposed rules would ban platforms from accessing children under 13 and set 15 as the minimum age for opening independent accounts across member states. This will be managed by compliance, risk, and legal leaders at affected digital services and consumer-facing firms.
- Why this matters
- Companies providing digital services or AI tools used by European consumers will need to evaluate their age-verification systems and user access controls.
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2. CIO Dive
Businesses sidestep AI governance policies as concerns mount
- Summary
- A report from consultancy EY reveals that senior executives are bypassing existing internal AI governance frameworks because those policies fail to address the specific risks posed by new systems. IT and risk management leadership are typically responsible for creating and updating these operational guardrails.
- Why this matters
- This highlights that standard IT policies may not effectively control AI risk, requiring mid-sized firms to review whether their compliance rules reflect actual operational usage.
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3. CIO Dive
AI failures often trace back to poor data foundation: survey
- Summary
- A survey by data intelligence firm Collibra and Harris Poll found that enterprise AI problems frequently originate from poor data management. The study also noted that over half of organizations are attempting to assign formal internal ownership for errors or decisions generated by automated tools. Operations and IT leaders are responsible for establishing these accountability rules.
- Why this matters
- Mid-sized businesses implementing automated processes should focus on data quality and assign specific staff members responsibility for verifying outputs before deploying tools broadly.
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4. CIO Dive
AI is now leading driver of new cybersecurity spending
- Summary
- Research from IANS and Artico Search shows that managing risks linked to artificial intelligence has become the top driver behind new corporate cybersecurity investments. Chief information security officers and IT directors are allocating extra budget to secure automated software, even while overall IT security spending growth remains moderate.
- Why this matters
- Mid-sized businesses should prepare for security budgets to shift toward defending automated workflows and managing vendor software vulnerabilities.
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5. CIO Dive
One-third of AI-replaced workers will be rehired by 2029: Gartner
- Summary
- Analysis from Gartner shows that less than one percent of corporate job cuts in 2025 were caused by productivity gains from artificial intelligence. The firm projects that one-third of employees whose roles are removed due to automated tools will be rehired into new positions by 2029. HR and business unit directors oversee these workforce adjustments.
- Why this matters
- Mid-sized companies considering headcount reductions based on automated software efficiency should treat labor forecasts with caution, as actual job replacement remains minimal.
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