Skip to content
AI and Infrastructure Risks Loom in 2027

AI and Infrastructure Risks Loom in 2027

First seen 10 Nov 2026, 15:22 UTC • •
API

Article Content

Browse articles
ThreatCluster AI
ThreatCluster •November 10, 2026 at 15:23 UTC
  • •AI agents will introduce new cyber and infrastructure risks in 2027.
  • •Critical infrastructure is becoming a focal point in geopolitical tensions.
  • •Organizations must enhance resilience to adapt to extreme heat and supply chain pressures.

As AI agents are set to transform business operations in 2027, new cyber, infrastructure, regulatory, and social risks are anticipated. Critical infrastructure is increasingly viewed as a battleground in geopolitical competition, raising concerns about its security. Extreme heat is expected to further strain infrastructure and supply chains, impacting food security. Organizations are advised to build resilience against these evolving threats. Control Risks CEO Bill Udell emphasizes the need for human oversight as AI transitions from advisory roles to decision-making. The RiskMap 2027 outlines how these risks will affect markets, investments, and strategic priorities. Businesses must prepare for a complex global environment where risks are rising and changing.

Start a free Starter trial for enhanced analysis

Ask AI about this cluster

Updated just now How this analysis works

Timeline

2026-11-10
Control Risks publishes RiskMap 2027
The report highlights emerging risks from AI and geopolitical competition affecting critical infrastructure.
Controlrisks

More articles in this cluster (2)

Extracted Entities

1 / 2

Common questions

What new risks should organizations prepare for?
Organizations should prepare for risks related to AI decision-making, extreme weather impacts, and geopolitical tensions affecting infrastructure.
How can businesses build resilience?
Businesses can build resilience by adapting their operations and strategic priorities to address the evolving risks outlined in the RiskMap 2027.
What is the role of human oversight in AI?
Human oversight is crucial as AI transitions from providing advice to making decisions, ensuring accountability and judgment in operations.