Finance Leaders Struggle to Keep Up With Tax Rules as AI Use Grows

Why It Matters

Tax‑compliance bottlenecks are becoming a strategic risk, directly affecting growth plans and cross‑border operations. Companies that master AI‑enabled compliance while securing data will gain a competitive edge.

Key Takeaways

• 58% of finance leaders find tax compliance complex
• 44% say regulations change too quickly
• 75% say compliance limits strategic decisions
• 43% struggle integrating tools with ERP
• 86% worry about AI data security

Pulse Analysis

The pace of tax‑regulation change is outstripping the capacity of many finance functions. As governments worldwide tighten reporting requirements, CFOs face a dual challenge: staying current on rules and translating them into actionable insight. The Sovos survey underscores that more than half of senior finance leaders view regulatory velocity as their top compliance risk, forcing them to shift tax from a back‑office task to a core strategic consideration.

Integration remains the Achilles’ heel of modern compliance programs. While firms pour capital into new software, 43% report that connecting these tools to legacy ERP and accounting platforms is their biggest obstacle. Fragmented systems create data silos, increase manual effort, and raise the likelihood of errors—especially when rules shift in real time. Organizations that can achieve seamless data flow will not only reduce audit exposure but also free finance teams to focus on higher‑value analysis.

Artificial intelligence promises to accelerate tax compliance, yet adoption is tempered by security concerns. Nearly 40% of respondents plan to evaluate AI‑driven tax solutions within the year, prioritizing accuracy above all else. However, 86% cite data‑security worries, reflecting broader enterprise hesitancy around cloud‑based AI. Companies that pair robust AI models with strong governance frameworks can turn compliance from a cost center into a growth enabler, leveraging real‑time insights to support market expansion and product innovation.