Introduction
From the Sender
Introduces the workplace experiences and close-range observations that shaped the book’s view of AI and organizational behavior.
AI and organizational behavior concept
Direct answer
Understanding AI from proximity means examining what AI changes from close range: the actual work, the people doing it, the pressures they carry, and the organizational behavior already shaping the outcome. It resists treating AI as a distant future scenario and instead asks what the technology means for the reality employees and leaders are navigating now.
“Someone needs to write what AI means from proximity, not from up here.”
In the book
This page offers a concise orientation. An Inbox Between Us develops the idea in greater depth through the following parts of the book, where it is connected to the wider argument about AI, organizational behavior, and modern work.
Introduction
Introduces the workplace experiences and close-range observations that shaped the book’s view of AI and organizational behavior.
Chapter 8
Examines AI inside the existing relationships among people, communication, decisions, and everyday work rather than as a distant technical abstraction.
Chapter 15
Brings the argument back to the ordinary places where work is negotiated and shows what becomes visible when AI enters that space.
Many AI conversations begin above the work: predictions, threats, broad capability claims, and advice about getting ahead. Proximity begins somewhere else. It asks what is happening in the work today, how people are already adapting, and what the technology is revealing about the organization as it exists.
That shift matters because AI does not arrive in an abstract company. It enters a lived operating system made of relationships, expectations, workarounds, decisions, myths, pressures, and inherited stories about how things get done.
The Book Leads conversation frames An Inbox Between Us as a book about the current reality of AI at work. The issue is not only what AI might become years from now. It is what happens when employees use it inside existing habits of communication, judgment, accountability, and leadership.
Looking at the now keeps the conversation practical. It helps leaders notice where AI is clarifying work, where it is smoothing over weak judgment, and where it may be making old behavior easier to scale.
David describes the most influential book as the unwritten one: the collection of stories people tell about their work, why they do it the way they do, and what emotions, constraints, and responsibilities sit behind those choices.
Those stories are not soft background material. They are often the closest available explanation of why a process behaves the way it does. AI can organize fragments, but proximity to the work is what gives those fragments meaning.
In the Delivering Marketing Joy conversation, proximity is not an executive abstraction. It comes from working with ground-level teams and paying attention to why they behave the way they do. The people closest to the work often understand the ambiguity, risks, and informal coordination that the official process leaves unnamed.
That matters because AI adoption changes the work employees already perform. If leaders want to know where AI can help, they need to listen to the people who have been adapting the business long before the technology arrived.
The Build a Vibrant Culture conversation adds a people-strategy lens to proximity. HR, culture, and organizational development leaders see the formal policies and job descriptions, but they also hear how employees actually experience workload, trust, authority, communication, and psychological safety.
That makes HR a critical partner in AI adoption. The people function is close to the human system AI is entering, so it can help leaders interpret behavioral evidence before the technology strategy hardens into a rollout plan.
In the Finding Freedom conversation, proximity is framed as the difference between the distant "what if" of AI and the immediate "what is." The useful question is not only whether AI might replace jobs someday. It is what AI is revealing right now about how work is already being done.
That lens keeps the conversation close to everyday employees, entrepreneurs, and frontline leaders who are already dealing with the technology inside real constraints, unclear processes, informal workarounds, and anxiety about what the change means.
A leadership team asks whether AI can improve a handoff. A distant view starts with tools and benchmarks. A proximity view starts by listening to the employees who perform the handoff, reading the messages around delayed work, and asking what responsibility, trust, and context are already shaping the outcome.
These appearances extend the book’s argument through questions, examples, and perspectives raised in conversation.
David grounds product design in proximity to internal work: understanding employee needs, business-process behavior, and the daisy chain of supporting systems before selecting a solution.
David distinguishes the speculative “what if” of AI from the grounded “what is,” arguing that people need to understand the relationship in their present work before they can reason responsibly about the future.
The conversation centers the need to explain AI from proximity, reality, and the now rather than from distant speculation.
The discussion distinguishes the documented organization from the lived reality employees encounter.
The episode frames An Inbox Between Us as a product designed for working people who need practical language for AI adoption.
The conversation grounds AI adoption in proximity to ground-level teams and the daily behavior that keeps work moving.
Nicole Greer and David Dean connect proximity to HR and culture leaders who see where employee experience diverges from the formal version of work.
John Odermatt and David Dean frame AI from proximity as a practical conversation about what is happening now for everyday employees, entrepreneurs, and frontline leaders.
David traces his Business AI Realist perspective to almost 20 years spent close to everyday leaders and teams. That proximity lets him compare the “what if” possibilities of AI with the pace, pressure, and cultural reality of how people actually work.
David traces the book to years spent close to ground-level teams and to a frontline worker who feared she would not have a job in a year. Proximity changes the question from what AI might become to what its arrival means for people now.
David grounds the conversation in years of working with ground-level teams and in an employee who feared she was training her replacement, shifting attention from capability hype to what people are experiencing now.
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