What boards need to know in 2026 about AI governance, operational readiness, and risk in high-tech manufacturing.
AI is now a board-level issue, but many manufacturers are still building the foundations to scale it. This report explains what it takes to govern, secure, and operationalize AI across products, factories, and supply chains.
Get an evidence-based view of how AI governance, software quality, compliance, and security shape AI at board level in high-tech manufacturing.
Why AI ambition is outpacing execution in high-tech manufacturing
Why boards need a shared view across IT, products, factories, and supply chains
What fragmented global AI regulation means for manufacturers
Why AI-assisted software development still needs human oversight
How AI system quality affects scalability, maintainability, and control
Where AI introduces new security exposures across products and operations
These insights help leaders make better decisions about how to govern, scale, and secure AI across the organization.
"AI is now changing the way we do business fundamentally, and reliance on technology increases to previously unseen levels. Yet, no clear oversight exists. So, it’s not a new problem, but AI is increasing it tenfold. Can we trust what is being build, do we invest in the right places, how ready are we for AI? Questions any investor has, and that need a clear answer..."
"AI can be a real competitive advantage in manufacturing, but only if it’s used to redesign work, not as a shortcut to replace people. The value comes from removing operational burden so teams can move faster, make better decisions, and focus on what differentiates the business."
“The rules will keep looking different, but our responsibility shouldn’t. I don’t think of regulation as a brake—I think of it as guardrails. If organizations build on a few non-negotiables—ethics, safety, security—and we can show our work with clear data lineage, honest disclosures, and real accountability, they can move quickly in the US, the EU, the UK—wherever—without tripping over themselves..."​
What the data shows about AI investment, adoption, software quality, and security risk in high-tech manufacturing in 2026.
Software Improvement Group (SIG) empowers organizations to govern the software their business runs on. Through complete portfolio analysis and tailored strategic advice, SIG helps companies embrace AI with control, improve software quality and security by focusing strategic efforts across people, process, and technology.
Sigrid®—SIG’s software governance platform—analyzes over 400 billion lines of code across more than 30,000 systems and 300+ technologies, offering evidence-based insights to help organizations prioritize and manage their most critical IT initiatives.
Founded in 2000 and headquartered in Amsterdam, SIG has offices in New York, Copenhagen, Brussels, and Frankfurt. The company complies with leading ISO/IEC standards, including 27001 and 17025, and co-developed ISO/IEC 5338—the new global standard for AI lifecycle management.
Combining expert consulting with over 25 years of industry-leading research, SIG is the global authority on software portfolio governance.Â
