🗾ITmedia AI+ (日本)•Stalecollected in 84m
70% Prioritize AI in Recession: KPMG

💡KPMG data: AI tops priorities but agents lag—adoption insights
⚡ 30-Second TL;DR
What Changed
Over 70% of leaders prioritize AI even in recession
Why It Matters
Signals strong AI commitment but highlights deployment and governance challenges for scaling.
What To Do Next
Download KPMG's AI survey to benchmark your organization's agent deployment progress.
Who should care:Enterprise & Security Teams
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •The survey highlights a significant 'implementation gap' where organizations struggle to transition from pilot programs to enterprise-wide AI agent scaling due to data governance and legacy infrastructure constraints.
- •KPMG's findings indicate that while AI investment remains high, budget allocation is shifting away from experimental generative AI projects toward high-ROI, domain-specific automation tools that directly impact operational efficiency.
- •Risk management disparities are primarily driven by a lack of standardized AI governance frameworks, with many firms failing to integrate automated compliance monitoring into their AI agent deployment pipelines.
🔮 Future ImplicationsAI analysis grounded in cited sources
Enterprise AI spending will consolidate around platforms offering integrated governance.
The high failure rate in full-scale deployment is forcing firms to prioritize vendors that bundle security and compliance with agentic capabilities.
AI agent adoption will plateau until standardized interoperability protocols emerge.
The current 10% deployment rate is constrained by the difficulty of integrating disparate AI agents with existing, siloed enterprise software ecosystems.
⏳ Timeline
2023-05
KPMG launches global AI advisory practice to address enterprise generative AI adoption.
2024-02
KPMG releases initial report on AI trust and governance, highlighting the need for ethical frameworks.
2025-06
KPMG expands AI agent implementation services, focusing on autonomous workflow automation for clients.
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Original source: ITmedia AI+ (日本) ↗


