REACTION: from AI possibility to practice
Eight stages of human and organizational work help leaders move from the first imperative to act through testing, operational support and lasting adoption.
Explore the REACTION methodology →NΞXXT Perspectives
Follow the question further.
Each idea on this site opens into deeper thinking. Explore a selection of provocations on AI, collaboration and workplace strategy, then follow a thread into the full archive.
Selected perspectives
Provocations worth exploring.
Eight entry points into Byron’s thinking on AI, collaborative work and the decisions shaping what comes next. Follow the question that speaks to your work.
Designing for cognitive sustainability in the AI era
AI may make work faster while making the human week more mentally dense. Byron explores the risk of cognitive intensification and asks how collaboration environments could help sustain better thinking, decisions and participation.
Read the NΞXXT essay →When waiting becomes a risk
Large, uncertain futures can overwhelm the smaller choices within our reach. This piece asks what leaders can learn and improve with the capabilities already available.
Read “AI Doomsday? Or Does Waiting Become the Risk?” on AVnetwork.com ↗Build for a future you cannot fully specify
Physical workplace decisions last longer than the technology and practices they must support. This essay explores the layers that can preserve room to adapt.
Read “Are We Building Tomorrow’s Workplace Through Yesterday’s Process?” on AVnetwork.com ↗From reliable rooms to remarkable meetings
Reliability matters, but what would make gathering genuinely valuable? This piece connects workplace experience, AI and the outcomes organizations choose to value.
Read “From Reliable Rooms to Remarkable Meetings” on AVnetwork.com ↗Could adaptability become the standard?
Standardization helped AV scale. This piece asks which compromises it embedded, and what AI may allow us to personalize without losing coherence.
Read “Your Next Collaboration ‘Room Standard’ May Be Adaptability” on AVnetwork.com ↗Bring end users into the work of invention
The people living with collaboration technology know the workflows and frictions that determine its value. Here Byron explores their role in shaping, validating and evolving new answers.
Read “Why End Users Need to Lead Innovation in the Collaboration Industry” on AVnetwork.com ↗Collaboration as the infrastructure of innovation
If AI makes it easier for more people to pursue ideas, how will organizations help those ideas become shared judgment and action? This essay makes the case for collaboration as a capability at the center of innovation.
Read “Collaboration: From Equipping Rooms to Becoming the Infrastructure of Innovation” on AVnetwork.com ↗Follow another thread
Keep exploring.
Search the full collection by question or theme, including earlier pieces that still add useful perspective.
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The NΞXXT Question.
Nine conversations with guests on AI, leadership and the future of work, hosted on ART19.
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