Lifsys / field note 01
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02 / RESEARCH NOTE

Adoption is not scale

Separate technology use from operating integration, repeatability, and business ownership.

PRIMARY-SOURCE CONTEXT / NOT LIFSYS PERFORMANCE OR ORIGINAL RESEARCH

PUBLISHER
EUROSTAT
YEAR
2025
EVIDENCE BOUNDARY
This is EU enterprise survey context. It covers enterprises with at least 10 employees or self-employed persons in specified NACE sectors. It measures reported technology use, not operating scale, financial value, or Lifsys performance.
EU ENTERPRISE AI USEEUROSTAT / 2025
TIME SERIESSCALE / 0–20%
20217.7%
20238.1%
202413.5%
202520.0%
2025 TECHNOLOGY SHARESSCALE / 0–12%
WRITTEN-LANGUAGE ANALYSIS
11.8%
GENERATED PICTURES / VIDEO / AUDIONEW IN 2025 QUESTIONNAIRE
9.5%
GENERATED LANGUAGE OR CODE
8.8%
SPEECH TO MACHINE-READABLE
7.2%
BOUNDARY / EU ENTERPRISES WITH 10 OR MORE EMPLOYEES · MULTIMEDIA GENERATION WAS NEW IN THE 2025 QUESTIONNAIRE

PRIMARY-SOURCE FINDING

What the source establishes.

Eurostat reports that 20.0 percent of EU enterprises used AI technologies in 2025, up from 13.5 percent in 2024.

This is EU enterprise survey context. It covers enterprises with at least 10 employees or self-employed persons in specified NACE sectors. It measures reported technology use, not operating scale, financial value, or Lifsys performance.

LIFSYS ENGINEERING INTERPRETATION

Why the evidence matters.

A growing adoption rate answers whether enterprises use AI technology. It does not answer whether the technology owns a repeatable place in work, has a decision owner, or produces an accepted operating result.

BUSINESS RELEVANCE

Buyers need to distinguish access to AI from a system that changes a governed business process.

DECISION IMPLICATION

The operating decision it changes.

Track three different states: technology use, integration into a named workflow, and scaled operation with evidence and ownership. Do not use adoption alone as the delivery target.

OBSERVABLE ENGAGEMENT ARTIFACT

ADOPTION-TO-OPERATION MAP / used technology, target workflow, operating owner, control points, acceptance evidence, scale dependency.

APPLY THE NOTE

Bring the evidence into the real system.

The first session bounds the result, constraints, and next engineering decision. It does not guarantee an implementation or outcome.

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