AI Assistants and the Drift Into Dependency
Source: Dev.to
Note: This is a short edition. Based on the full paper published December 28 2025: The Augmented Self: AI Scaffolds, Offloading, and the Drift Toward Dependency
1. A Subtle Change in Knowledge Work
More and more, the first coherent version of a thought arrives already shaped—quickly, fluently, and with plausible next steps attached.
It can feel like simple convenience, but when the starting point changes, the rest of the workflow changes with it:
- what gets practiced,
- what feels effortful,
- what counts as “normal” speed and competence.
The shift is easiest to see when the tool is unavailable.
2. From Execution‑Only Tools to Early‑Stage Assistants
Earlier productivity tools mostly supported execution: formatting, retrieval, transcription, or polish.
Today’s assistants participate earlier, supplying a coherent first pass on meaning and direction.
Instead of only helping you say what you already know, they can:
- Propose what the situation is.
- Identify what matters within it.
- Suggest what to do next.
The work still ends with a human decision, but the starting point is now often a generated draft, plan, or stance that arrives already shaped.
3. An Intermediate Cognition Layer
An on‑demand “quick external first pass” now sits between raw input and a finished output, turning ambiguity into something workable—an outline, a draft reply, an action list, a provisional framing.
In that role it functions as a scaffold:
- Support layer that makes work easier while present.
- Reveals its role when removed.
A simple, familiar pattern illustrates this:
- You receive a dense or delicate message.
- You ask for a reply.
- You get a coherent candidate with implied intent and next steps.
- You revise and send.
The result can be fluent even when some of the earliest interpretive work has been partially externalized.
4. Why “Starting” Matters
Starting is where uncertainty is highest and where framing decisions quietly determine:
- What counts as relevant.
- What gets excluded.
- What seems like a reasonable next step.
When this upstream layer becomes reliable and ubiquitous, workflows reorganize around it because it becomes the easiest way to move from ambiguity to coherence.
5. Originator vs. Editor Modes
| Mode | What you do first | Typical output |
|---|---|---|
| Originator | Generate the first frame – what the thing is, its purpose, constraints. | Build outward from that foundation. |
| Editor | Begin with suggested options – candidate framings, outlines, messages, or action lists that arrive already shaped. | Edit, adjust, and decide what to keep. |
Editing can be active and thoughtful, but it is not the same skill as originating under uncertainty.
The shift is easy to miss because the visible labor (revising) remains while the invisible labor (forming the starting point) thins.
6. Two Mechanisms Explaining Lasting Effects
- Offloading – What gets delegated: not just retrieval or drafting, but intermediate cognition (interpretation, framing, formulation, sometimes checking).
- Mediation – How the assistant shapes outcomes by structuring the option set: outputs are suggested options that compress the space of possible framings into a small menu of fluent candidates.
Even when a user remains in control, the shape of control changes: judgment increasingly operates over pre‑formed candidates rather than forming the candidate space itself.
7. Drift: Gradual Redistribution of Attention
7.1 Interpretation Drift
- When an assistant regularly provides the first coherent reading—what matters, what the intent is, what constraints probably are—your own initial pass can compress or disappear.
- Evaluation may still occur, but it begins downstream of a premade interpretation.
- Over time, the skill of generating multiple plausible readings from sparse evidence can weaken, and the default becomes accepting or lightly adjusting a provided frame.
7.2 Formulation Drift
- Ambiguity is converted into structure by default.
- Drafts, outlines, plans, and “reasonable next steps” arrive pre‑shaped, turning the work into selection and revision.
- Editing can remain strong (or even improve), but it is not the same as originating: choosing a structure from scratch, inventing the first phrasing under uncertainty, or building an argument before a template exists.
- When a workflow relies on externally provided first drafts, “starting from zero” becomes less familiar, and therefore feels slower and more cognitively costly.
7.3 Verification (or “Checking”) Drift
- Fluent output carries signals of completeness: it looks finished, balanced, and confident.
- This can reduce the felt need to verify assumptions, trace sources, or test edge cases, especially under time pressure or unfamiliar topics.
- Risks include not only factual error but also upstream misalignment: mistaken context, omitted constraints, over‑confident inference, or a prematurely narrowed frame that propagates through everything that follows.
- In such cases, coherence becomes a proxy for correctness, and “seems done” becomes a stopping rule.
8. Dependency Revealed by Interruption
Dependency is most legible under interruption. When access is constrained—by outage, policy, cost, latency, or context—the friction does not primarily appear at the end of a task. It appears upstream, where the scaffold had been turning uncertainty into an initial structure.
The remainder of the original paper continues this analysis, exploring mitigation strategies, design implications, and future research directions.
Full version: The Augmented Self: AI Scaffolds, Offloading, and the Drift Toward Dependency (Korovamode).