# Building Organizations of the Future Today: Rehire

**Author:** Alexey Krivitsky
**Date:** 2026-07-05
**Reading time:** 4 min
**Category:** AI X OD
**Tags:** ai, org-design, future-of-work, mandate-expansion, multi-learning, ai-partnered
**Canonical:** https://krivitsky.com/post/rehire-future-worker

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**TL;DR:** AI workshops on top of a 2019 job definition get you the same org, slightly faster. The move: define the AI-Partnered Worker profile — a new term, a new standard, a new mindset — and invite your people to step into it.

Job descriptions at many tech companies haven't changed since 2019.

The job has. The org just didn't update the file.

Many transformation programs try to fix this by changing behavior without touching what the job actually is — what decisions a person owns, what "good" looks like. You can run AI workshops on top of a 2019 role definition and get the same org, slightly faster (see [Redesign, Then AI](/post/redesign-for-ai-why-transformation-requires-organization-design) for why tooling alone doesn't move the needle).

The consultants running these programs typically aren't more informed about your specific AI strategy than your own senior engineers. They bring a framework. The answer — what the job looks like now — is yours to write.

So write it.

Define the profile of an **AI-Partnered Worker** at your company ([not the same as AI-native](/post/ai-native-vs-ai-augmented)). Not a new title. A new definition of what this job now requires.

## Eight traits

Eight things show up consistently in that profile:

**Learners first.** In [10X ORG](https://10xorg.com), we call this **multi-learning** — the capacity to keep expanding your skills as the environment moves, not to master the current version and stop. Multi-learning is the durable edge.

**AI-partnered.** Not just AI-augmented — not "uses ChatGPT sometimes", that was 2022. The standard now: actively delegates everything possible to AI, finds the boundary of what it can handle, and moves it further.

**Customer-centric.** The job exists to solve a customer's problem, not to deliver a ticket. That orientation has to be built into the role definition, not assumed.

**Outcome-focused.** Measured by results, not by output. What actually changed for the customer — not how many tasks were closed.

**Problem solvers.** Someone needs to hold the full context and make judgment calls. The "give me a ticket, I'll do my part" arrangement is over in roles where AI now handles the routine.

**Flexible.** The work environment will keep changing. That's the new baseline. The job in 2027 may look different from the job in 2026. Comfort with that is a job requirement.

**Self-managing.** Knowing what to work on — and when to switch — without waiting to be told. AI removes a lot of management overhead, but only if the person doesn't recreate it by needing constant direction. Self-management is what makes autonomy productive.

**Ready to work alone — and smart about when not to.** AI handles much of what you used to need a colleague for. But people who disappear for weeks on the wrong problem, or never surface what's stuck — that's a judgment gap, not a tools gap.

## The two mandates

In 10X ORG, we frame this through **two mandates**: the **skills mandate** — how broad and complete a person's capabilities are — and the **work mandate** — how much of the outcome they actually own ([explored in depth here](/post/teams-and-scope-of-skills-mandate)). The AI-Partnered Worker needs both to expand. Narrow skills on narrow tasks is where AI displaces. Broad skills on full outcomes is where it amplifies.

This profile is already emerging in some organizations under a specific name: the **forward deployed engineer** — someone with full technical depth who works directly with customers, deploying, adapting, problem-solving on the spot. No ticket queue. No handoff chain. Both mandates expanded. It's the same pattern as the [Super IC](/post/super-ic-trap-guild-hypothesis): when AI makes individuals more complete, the org shifts from coordinating fragments to converging whole craftspeople.

That's the preview of where this goes.

## The rehire conversation

The people you have now were hired for different times, different needs, different jobs.

Be transparent about that. And be radical enough to act on it.

Define the new profile clearly. Then invite your people to join the future — genuinely, not as a formality. Offer retraining programs. Offer coaching and support. Give people a real path into the job as it is now.

Don't drag anyone there alone. Let them decide.

Be humane. Be nice. But be clear.

That's the rehire.