What's Emerging — The Brief Experiment
For Institutions
The Context

What's Emerging

The third phase of human work is not coming. It is here. AI is not taking jobs. It is making specific arrangements obsolete while creating new ones. Understanding this distinction changes everything.

The Speed of This Transition

What distinguishes this moment from previous technological shifts is the speed. Previous transitions unfolded over generations. This one is unfolding over years. The window between recognizing the change and adapting to it is compressed in ways we have not experienced before.

The first Industrial Revolution took roughly seventy years to transform work. The second took about forty-five. The third, perhaps thirty. The fourth is measured in years, not decades. The time available to recognize what is changing and respond is shrinking with each cycle.

The question is not whether to adapt. That question has already been answered. The question is whether you recognize what is actually changing, and whether you see the possibilities that are opening while others are closing.

The Real Threat

The conversation about AI and work focuses on the wrong question. "Will AI take my job?" assumes that the job and the person are the same thing. They are not.

Your job is one arrangement of your capabilities. It is one way of combining the skills, knowledge, and experience you have accumulated. The arrangement is what is threatened. The capabilities are not going anywhere.

The Key Distinction

AI does not destroy capabilities.
It makes certain arrangements obsolete.

The radiologist reading scans occupies one arrangement. That arrangement is becoming obsolete. The person with pattern recognition, medical knowledge, and diagnostic reasoning has dozens of other arrangements available.

This distinction is not just semantic. It changes what you should do. If AI is destroying your capabilities, there is nothing to do but mourn. If AI is making your current arrangement obsolete, there is work to do. Identify your capabilities, see other arrangements, and test which ones fit.

What We Can See

Some aspects of this transition are clear enough to act on. Others remain genuinely uncertain. Distinguishing between them matters because it determines where you can plan and where you must experiment.

Near Certain

Knowledge work transforms first

Tasks involving keyboards and screens are more automatable than tasks involving physical objects. White-collar work faces disruption before blue-collar work, inverting decades of assumptions.

Near Certain

Credentials matter less

When information is freely available and AI can produce sophisticated analysis, what you know matters less than what you can do with what you know. The degree signals less than it once did.

Highly Likely

Careers become more entrepreneurial

The career of the future is not getting a job. It is finding problems and solving them. The ability to identify opportunities and create value becomes more important than fitting into existing structures.

Genuinely Uncertain

Which specific jobs will exist in ten years

Predictions about specific outcomes are guesses dressed up as certainties. No one knows which roles will emerge, which industries will transform, or how quickly the transition will unfold.

Arrangements Closing, Arrangements Opening

Consider what happens when you apply this lens to a specific profession. The accountant whose work consists primarily of data entry, reconciliation, and compliance reporting occupies an arrangement that is closing. The same underlying capabilities, arranged differently, open new possibilities.

Arrangement Closing

Traditional Accounting

Tasks centered on data entry, reconciliation, and routine compliance are increasingly automated.

  • Manual bookkeeping
  • Basic tax preparation
  • Routine audit procedures
  • Standard financial reporting
Arrangements Opening

Same Capabilities, New Uses

The same financial acumen and analytical skills create value in ways AI cannot replicate.

  • Strategic financial advising
  • Startup CFO and fractional finance
  • Forensic accounting and investigation
  • Financial technology product development
  • Business process optimization
  • Financial education and training

The Capacity Shift

Within each profession, certain capacities are declining in value while others are increasing. Understanding this shift helps you invest your development time wisely.

Declining in Value

Information recall and retrieval
Routine data processing
Standard document creation
Basic analysis and reporting
Following established procedures
Single-domain expertise

Increasing in Value

Judgment under uncertainty
Problem identification and framing
Cross-domain synthesis
Relationship and trust building
Creative and novel solutions
Learning agility and adaptation

What This Means

The path forward is not to predict exactly what work will look like and prepare for that specific future. The uncertainty is genuine. Instead, the path forward is to develop the capacity to navigate uncertainty, to keep asking what else you could be, and to test the answers through action.

The people who thrive in what is emerging will not be those who found the right answer. They will be those who developed the skill of continuous rearrangement, who learned to see their capabilities as raw material for building rather than credentials for finding.

The question is not "Will my job survive?" The question is "What else could my capabilities become?" The first question leads to anxiety and paralysis. The second question leads to options and action.