𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆 𝗠𝗼𝗿𝗻𝗶𝗻𝗴 𝗧𝗵𝗼𝘂𝗴𝗵𝘁𝘀 This conversation has come up several times for me this week, across different discussions with people in the industry. Different perspectives, same concern. We talk constantly about AI, but what most of us actually see is only the loudest version of it. The tools that demo well. The promises of speed, efficiency, and cost savings. The pressure to adopt quickly or risk falling behind. What we hear far less about is the quieter AI. The AI being used in healthcare, defense, scientific research, and critical infrastructure. Work that moves deliberately, operates under real constraints, and treats security, governance, and failure as design requirements rather than afterthoughts. That imbalance matters. When loud AI dominates attention, it shapes perception. Shiny starts to look safe. Visibility starts to look like maturity. And businesses feel pressure to implement tools they may not fully understand or be prepared to govern. I wrote a short article unpacking this divide and why AI adoption is not just a technology choice, but a leadership decision with real security and legal implications. My hope is to encourage more intentional, informed adoption for businesses that choose to adopt use of these tools. If AI is on your roadmap, this is a moment worth pausing and thinking a little more carefully. Read the full article below. #AIinnovation #loudAI #quietAI #responsibleAI
Linda Rolf
3mo
Thanks for this insightful perspective Alyson M. Laderman, Esq. Adopting new technologies has often led to sound strategy being disrupted by the rush to implement. AI has without a doubt impacted companies in ways leaders haven't experienced before. The endless hype and rush to adoption have overshadowed basic technology practices. The companies that calmly and methodically give AI the right jobs to do will survive the hype cycle. It starts with the same time-tested questions that have served business meets technology for decades.
Dustin Hubbard
3mo
Insightful perspective on AI adoption as a leadership decision rather than a passing trend. How do you see leaders driving cross-functional alignment to ensure AI initiatives deliver lasting value as the hype subsides?
Jason Dion
3mo
This resonates strongly. What often gets missed in the AI conversation is that smart adoption isn’t about chasing tools, it’s about understanding vendors, data flows, security assumptions, and long-term operational risk. The loud AI tends to skip those questions entirely. The quiet, durable AI work starts with governance, validation, and measurement. Leaders who treat AI implementation as a business and risk decision, not just a technical one, are far better positioned over time.
Yogin Savalia
3mo
Alyson M. Laderman, Esq. This really resonates. One thing I’ve been seeing while working on SignalAct is how often risk doesn’t come from “loud AI” itself, but from the quiet formation of usage patterns before leadership has real visibility. When adoption is driven by urgency and optics, organizations often assume visibility equals maturity — until governance, security, or legal questions surface later. The quieter AI you describe tends to be intentional by design: clear constraints, failure assumptions, and ownership from day one. That difference matters far more than the tooling layer. AI adoption isn’t just a technology decision — it’s a leadership decision about when and how signals are seen.
Cyber Mettle•4K followers
3moIf this topic resonates, Omar Sangurima, Aby Rao and I explore it further in this week’s episode of The Cyber Mettle Podcast. We talk about what responsible AI adoption actually looks like, where organizations are getting it wrong, and why security, governance, and leadership judgment matter more than hype. It’s a practical conversation for leaders trying to cut through the noise and make informed decisions. 🎧 The Cyber Mettle Podcast – this week’s episode is available wherever you listen, including YouTube, Spotify, Apple Podcasts, Amazon, and Podbean.