AI leaders stress governance & trust as adoption grows

Industry leaders are using this year's AI Appreciation Day to highlight the operational realities, risks and design choices behind the rapid adoption of artificial intelligence across sectors from defence to manufacturing.

The annual observance has become a focal point for business and technology executives, who now see AI as embedded infrastructure rather than an experimental add-on.

Several executives say the conversation has shifted from experimentation with generative models to governance, cost control, edge deployment and human oversight. They describe a phase in which AI agents, voice systems and embedded analytics sit within critical workflows and physical environments.

At Protegrity, Senior Director of Product Management, Gen AI Jessica Hammond argues that celebrating AI's benefits must go hand in hand with scrutiny of how systems handle sensitive information. She links the growing use of AI agents in corporate processes to greater movement of confidential data across prompts, logs and retrieval pipelines.

"While AI Appreciation Day is a moment to recognize the value AI is creating for organizations, we cannot celebrate adoption without considering the risks that come with it. AI systems are moving from content generation tools to agents that retrieve knowledge and act across enterprise workflows. The more AI is embedded into daily business, the more sensitive data moves through prompts, logs, retrieval systems, tools and outputs. Appreciating AI without considering how it handles data is how innovation quickly turns into liability. Reliable AI starts with data that is accurate, well understood and managed throughout its lifecycle. Organisations need to know where data came from, how it is classified, who can access it, when it can be used and how it is protected if something goes wrong. Those that succeed in this next phase of AI adoption will be the ones that can prove their AI is governed, protected and secure by design," said Jessica Hammond, Senior Director of Product Management, Gen AI at Protegrity.

Customer-facing applications remain a primary focus. Dan Kutchel, Chief Executive Officer of voice AI start-up Overtime, frames AI's role in terms of consumer choice and measurable business results.

"On AI Appreciation Day, we're reminded that AI's promise is not just about moving faster. It's about building better, more flexible experiences for people. Ultimately, AI's value should be measured not by the technology itself, but by the business outcomes it delivers. AI's most meaningful impact will be in how it expands choice for consumers, creating experiences that not only better meet an individual's needs, but also help businesses drive stronger engagement, loyalty, faster payments and growth. In some moments, consumers will want the speed, convenience and 24/7 availability of interacting with an AI agent. In others, they'll want the empathy, judgment and creativity that only human connection can provide. The future we should be building is not one that forces a single way of interacting, but rather one that offers people flexibility and choice. It's about giving people the right experience at the right time, with trust built into every interaction. As voice AI and agentic systems evolve, we have a responsibility to build technology that earns trust through transparency, reliability and thoughtful design. The companies that will succeed will empower businesses to serve consumers in ways that feel more personal, natural and human-centered," said Dan Kutchel, Chief Executive Officer of Overtime.

Executives in industrial and defence sectors describe similar themes of trust, feedback loops and human control, but in higher-stakes contexts. Freddy Kuo, Chairman of Luminys Systems Corp. and Chief Executive Officer of Foxlink Group, highlights the importance of real-world validation and continuous improvement.

"This AI Appreciation Day, the conversation should move beyond celebrating AI for its own sake. The next chapter of AI will be defined by systems that operate reliably in the real world, support better human decisions and deliver measurable outcomes. That requires more than powerful models. It requires an AI Factory approach: a closed-loop ecosystem where real-world data, computing, model training, solution development, deployment and feedback continuously reinforce one another. As AI moves into physical environments, trust will matter as much as intelligence. The most valuable AI will not replace people. It will strengthen the teams responsible for making critical decisions every day," said Freddy Kuo, Chairman of Luminys Systems Corp. and Chief Executive Officer of Foxlink Group.

Defence suppliers report growing interest in AI at the tactical edge. Anthony Verna, Senior Vice President and General Manager of DTECH Mission Solutions at Cubic Defence, points to the need for local processing and resilient communications as militaries operate in congested and contested environments.

"AI is changing how defense organizations improve adaptability and generate decision advantage in complex operational environments. Modern operations require mission teams to access, process and act on mission-critical data locally without assuming constant connectivity. The next phase of AI adoption will center on greater speed, autonomy and data operationalization at the tactical edge. We will continue to see accelerated adoption of AI-enabled edge compute, software-defined communications and integrated mission systems that support distributed operations, faster coordination, resilient communications and rapid intelligence processing. AI is helping reshape how operators turn mission-critical data into operational advantage through faster and more informed decisions. That role will continue to grow as defense organizations prioritize technologies that improve mission effectiveness, wherever the fight goes," said Anthony Verna, Senior Vice President and General Manager of DTECH Mission Solutions at Cubic Defence.

From Copilot to Autopilot

Software engineering leaders describe a parallel shift inside corporate IT, where AI is moving from a tool used by individuals to infrastructure running in the background. Johnny Halife, Chief Technology Officer at Southworks, says organisations often underestimate both the upside of agentic workflows and the ongoing cost of large model usage.

"The biggest surprise for companies moving AI into production is the speed. When an agentic workflow actually works, there is a near-magical quality to it. Once AI becomes part of the underlying infrastructure and starts contributing to team outcomes without being driven on a daily basis, the upside is tremendous. That is the real shift: moving from copilot to autopilot. On the flip side, cost is the thing that catches teams off guard. Once AI is infrastructure, the token bill scales with everything else. Recent pricing and quota changes have pushed some companies to press pause on initiatives until they get that under control. On this AI Appreciation Day, my advice to any CTO in that position is to know your models. Not every task needs frontier intelligence. Model literacy is a genuine developer skill in 2026, and understanding which model to use for which job is what flattens the AI cost curve without stalling the initiative," said Johnny Halife, Chief Technology Officer at Southworks.

Factory Floor Focus

Manufacturing executives say the day marks a clear inflection point in how plants use AI in production, inventory and quality systems. Dan Abramson, Senior Vice President, Americas at enterprise software firm Syspro, notes that manufacturers have moved from trials to broad integration across daily workflows within a year.

"This is the fifth AI Appreciation Day, and it feels remarkably different from the last. In just 12 months, AI has moved from being a technology the manufacturing industry was exploring to one it is broadly embedding into critical day-to-day operations. Today is a chance to reflect on not just the extraordinary pace of AI advancement, but how much manufacturers have adapted and achieved in putting it to work. Manufacturers continue to manage supply chain disruptions, labor shortages, tighter margins and changing customer expectations every day. AI is radically helping them cut through that complexity, making operational data easier to interpret, surfacing risks earlier and reducing the time teams spend on manual analysis. AI Appreciation Day also serves as a reminder that AI must serve people. The manufacturers seeing the strongest results are leveraging AI embedded into the systems their people already rely on. Whether it supports production planning, inventory management or quality processes, AI is giving teams better information and more confidence to make faster, smarter decisions. Manufacturing has always depended on expertise, sound judgment and accountability. Every decision has implications for production, customer commitments, quality and safety. At its best, AI supports and strengthens those core principles, keeping teams at the center of what matters most: quality, safety and customer commitment," said Dan Abramson, Senior Vice President, Americas at Syspro.