AI product management · Industry brief

AI compliance is increasingly central to M&A diligence following the EU AI Act's implementation. According to Reed Smith's PEMACOM 2026 conference recap, the firm noted that "compliance debt can compound quickly" for private equity sponsors acquiring AI-enabled businesses, with retrofitting governance into systems already in production significantly more costly than building it in from the outset. Data protection due diligence has become a valuation consideration rather than a legal checkbox, and cybersecurity obligations under NIS2 are now a boardroom priority, creating an integrated diligence playbook across AI governance, data protection, and cybersecurity that is becoming a pricing discipline in transactions. AI is reshaping software investment fundamentals, with high gross margins increasingly dependent on how effectively engineering teams manage AI model routing, caching, and sizing. Fixed subscriptions with metered usage models may become prevailing, and investors now assess whether targets can perform processes directly, whether customers can insource capabilities, or whether competitors can use AI to take market share faster—with valuation fundamentals remaining unchanged but requiring greater focus on underlying business quality and resilience rather than treating AI growth layers as a base case.

The global AI Trust, Risk and Security Management (AI TRiSM) market is projected to grow from USD 2.92 billion in 2025 to USD 45.6 billion by 2035, at a CAGR of 31.63%, driven by high adoption of generative AI, deployment of autonomous agents, and demand for AI governance and compliance frameworks. Key industry trends shaping the market include growth in agentic AI governance solutions, higher demand for AI security and runtime protection platforms, increased use of AI monitoring and response solutions, and expansion of responsible AI and compliance solutions. Leading companies investing significantly in AI governance and risk management include IBM, Microsoft, Accenture, Palo Alto Networks, and Deloitte, with IBM offering watsonx for managing AI risks and regulatory compliance, while Microsoft provides Azure AI governance solutions for monitoring and policy enforcement across enterprise applications.

The FRC issued guidance on generative and agentic AI in audit in March 2026, emphasizing that greater automation does not reduce auditor responsibility and requiring adequate governance records for regulatory inquiries about AI-enabled review processes. The IAASB similarly found that existing quality-management standards remain foundational for AI-enabled engagements, though firms may need additional practical guidance as tools become more complex. The EU AI Act became mostly applicable on August 2, 2026, with transparency obligations for certain AI systems and high-risk requirements following from December 2, 2027. XBRL International released the first Public Working Draft of Project Tavi in September 2026, proposing a next-generation standard using simplified JSON structure to make filings more accessible to general-purpose AI systems while preserving existing XBRL 2.1 infrastructure support. The SEC's 2026 report notes that machine-readable disclosure data enables staff to analyze large quantities of information for risk assessment and enforcement, with AI expanding analytical capabilities for identifying unusual movements and analyzing narrative disclosures.