The Risks of AI Overinvestment: Why Companies Risk Strategic Backfire

Four of the five top enterprise risks identified in Gartner’s Quarterly Emerging Risk Report for 2026 involved artificial intelligence.

Top Enterprise Risks in 2026

The report highlights AI strategy missteps and AI-driven competitive displacement as third and fourth highest risks, respectively. The AI workforce preparedness gap ranked fifth, while AI-facilitated discovery of cyber vulnerabilities and geopolitical energy supply shocks occupied the top two positions for the second consecutive quarter. The findings stem from a composite risk score derived from input by 308 enterprise risk management leaders, auditors, and senior executives.

AI Strategy Missteps

AI strategy missteps pose significant threats when organizations overestimate the immediacy or scale of AI benefits, leading to resource allocation before projects demonstrate tangible value. Pressure to outpace competitors often drives premature investments without adequate evaluation of feasibility or team readiness. Failed initiatives can divert critical resources from other operational priorities.

Kevin Mercado, Senior Principal Analyst at Gartner’s Risk Audit Practice, emphasized that enterprises risk pursuing AI projects without verifying alignment with business objectives, risk tolerance, and expected outcomes.

Top Risks: Cyber Vulnerabilities and Energy Supply Disruptions

The top two risks in the report—AI-enabled discovery of cyber vulnerabilities and energy supply disruptions—highlight dual challenges. Attackers leveraging AI can identify and exploit software flaws at a pace exceeding traditional security response capabilities, creating prolonged exposure for sensitive data and intellectual property. Meanwhile, geopolitical tensions, sanctions, and infrastructure damage threaten energy production and distribution, increasing costs and operational delays for businesses reliant on stable energy supplies.

Additional Risks in the Top Five

Additional risks in the top five include competitive displacement and workforce readiness gaps. Organizations with stalled AI pilots risk losing market share to rivals utilizing AI for enhanced services or cost reductions. Internally, rapid shifts in job requirements may outpace employee skill development, leading to uneven AI adoption and diminished returns on investment.

Gartner’s Surveys and Insights

Gartner’s 2025 survey of 225 senior risk and assurance leaders revealed that 54% of organizations document AI as a standalone risk in their risk registers. The latest report expands on previous analyses of AI-assisted attacks and intellectual property vulnerabilities, now incorporating insights into corporate AI investment strategies and competitive responses. Three 2026 Gartner surveys provide further context. In the CFO survey, 17% reported that over half of their AI projects generated measurable revenue growth or cost savings. The board survey found 64% of executives believe organizations should take greater technology risks to maximize shareholder value. Meanwhile, 43% of audit committee members anticipate an AI strategy audit within the next year.

Gartner’s Recommendations

Gartner recommends that enterprises establish clear oversight structures for AI initiatives, evaluate impacts on existing priorities, and define metrics for success. When AI reduces employee workload, organizations should track how this time is repurposed and whether it leads to measurable productivity improvements. Mercado advised treating AI as a portfolio of business decisions, emphasizing the need to connect investments to specific outcomes, validate readiness before scaling, and implement governance frameworks for responsible experimentation.

Conclusion

The report underscores the necessity of balancing AI innovation with risk management to avoid strategic pitfalls while leveraging the technology’s potential.