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KPMG: Firms Race to AI, Security Lags
💡75% firms hit AI ROI but security gaps risk it all—vital enterprise insights.
⚡ 30-Second TL;DR
What Changed
75% of companies meet or exceed AI ROI expectations
Why It Matters
AI practitioners in enterprises can leverage this to justify security investments amid rapid adoption. It underscores balancing speed with risk management to sustain ROI gains.
What To Do Next
Download the KPMG report and audit your AI deployments for security gaps.
Who should care:Enterprise & Security Teams
Key Points
- •75% of companies meet or exceed AI ROI expectations
- •Firms are rapidly deploying AI as operational reality
- •Security protections need greater emphasis for longevity
🧠 Deep Insight
AI-generated analysis for this event.
🔑 Enhanced Key Takeaways
- •KPMG's 2026 findings highlight that while ROI is high, 62% of surveyed executives report that their AI governance frameworks are currently struggling to keep pace with the speed of deployment.
- •The report identifies 'shadow AI'—the unauthorized use of generative AI tools by employees—as the primary driver for the urgent security concerns cited by IT leadership.
- •Data quality and integration remain the top technical hurdles, with 58% of firms citing fragmented data silos as the main barrier to scaling AI beyond pilot programs.
🔮 Future ImplicationsAI analysis grounded in cited sources
Regulatory compliance will become the primary bottleneck for AI scaling by 2027.
As security gaps widen, governments are expected to mandate stricter AI auditing requirements that will force firms to pause deployment to ensure compliance.
Investment in AI-specific cybersecurity tools will outpace general AI software spending by 2028.
The current trend of prioritizing deployment over security will necessitate a massive market correction toward defensive AI infrastructure.
⏳ Timeline
2023-05
KPMG announces a multi-billion dollar commitment to expand AI services and cloud capabilities.
2024-02
KPMG launches its global 'AI Trusted' framework to assist clients with ethical AI implementation.
2025-06
KPMG releases a major study indicating that AI-driven productivity gains are beginning to impact bottom-line margins.
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Original source: TechRadar AI ↗