FUTUREMINDED
FutureMinded explores how organizations must redesign work, labor, and decision-making as AI becomes foundational infrastructure.
- Indexed issues, last 90 days
- 7
- Latest publication
- Sep 30, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 19, 2026
Latest issues
Before You Automate the Work, Question It. (opens the original)
Read excerpt
The opportunity sounds clear. Improve the customer experience. Increase the team’s capacity. Make better use of what the organization knows. A pilot demonstrates something promising, and there is enough confidence to move forward. But what, exactly, has been agreed?What responsibility will the system take on? Which information can it rely on? What happens when that information changes? Where does someone need to intervene? Who owns the result when the work crosses several teams?These questions s
When an Organization Starts to Remember (opens the original)
Read excerpt
A conversation today started with a document marked “active” that an AI system was treating as unresolved.The people involved understood the distinction: the policy was active, but a downstream approval was still required. The system appeared to be interpreting the language differently.We started talking about the document. Then knowledge bases. Then memory. Eventually, we were discussing what a “memory manager” might actually be.That’s the part I kept thinking about afterward.As a system accumu
What Kind of Agent Platform Are You Buying? (opens the original)
Read excerpt
“Agent platform” can describe the infrastructure that runs an agent, the software that coordinates its work, or the application an employee uses to give it a task.That is a wide range of products under one label.It helps explain why comparisons get confusing. Two vendors can both promise to help a company build and run agents while supplying very different parts of the system.To understand what you are buying, start with the layers.Here is how I separate the main functions:<a class="image-link i
Scale the Craft (opens the original)
Read excerpt
The leap from “AI can do this task” to “we need fewer people” deserves much more scrutiny than it gets.Over the last couple of years, I’ve been designing and building AI systems for research, creative work, marketing, and organizational planning. They compress work, reduce repetition, and remove constraints on what a team can take on. Across those explorations, the opportunity I keep seeing is increased capacity.The narrow replacement story assumes the assignment stays the same: produce yesterda
What Your AI Workflows Are Actually Worth (opens the original)
Read excerpt
Your team uses AI. Your board wants proof it delivers value. You cannot answer in workflow terms, dollar terms, or compounding capability.This is structural. Enterprises deploy AI without infrastructure to classify what each workflow is worth, where value leaks, and what closing the gap costs operationally.OpenAI Economic Research explains why. Alex Martin Richmond’s The AI Jobs Transition Framework (April 2026) identifies a capability overhang across every job category exposed to
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
No verified audience measurement yet.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.