In paired interviews with 54 developers in 27 teams at a large software company committed to AI adoption, the authors identify a 'Productivity Pressure Paradox': management expected rapid productivity gains without supporting learning, which left developers without the time to build the skills that would save time.

SocioLens project,

Claim LD03-SL-C09 (v1.0)

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

In small Greek firms, does generative AI stay a personal tool or change how teams work?Developers at a large software company described management expecting rapid gains without supporting learning.

Provenance and status

Claim type: Fact and Interpretation
Publication status: Eligible for publication, with qualifiers: institutional position
Verification state: Checked against the primary source. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
Does not license: Prevalence; measured productivity; statistical causal claims (the authors say so)
Limitations: One pro-AI firm; self-selected participants; usage measured for one tool; five of nine authors are Microsoft employees and the unnamed company is very likely Microsoft
Source (as cited): Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026
Source type: Peer-reviewed conference paper (recorded as “Peer-reviewed conference paper”)
Institutional position: Mixed
Maturity of the evidence: Emerging evidence
Recorded date: 15 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026 (Peer-reviewed conference paper)
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Version

This is the current version, v1.0. Earlier versions stay available, and their records never change.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): FACT + INTERPRETATION (as printed: “FACT + INTERPRETATION”)
Publication status (coded): ELIGIBLE (INSTITUTIONAL_POSITION) (as printed: “ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY
Source type (coded): PEER_REVIEWED_CONFERENCE_PAPER
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD03-SL-C09	—
2	PUBLIC-FACING CLAIM	In paired interviews with 54 developers in 27 teams at a large software company committed to AI adoption, the authors identify a 'Productivity Pressure Paradox': management expected rapid productivity gains without supporting learning, which left developers without the time to build the skills that would save time.	—
3	CLAIM TYPE	FACT + INTERPRETATION	base_types: FACT, INTERPRETATION
4	RESEARCH STRAND	E — Organizational practice and decoupling	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026	source_ids: SRC-SL-MILLER-ET-AL-ICSE-2026
7	SOURCE TYPE	Peer-reviewed conference paper	classes: PEER_REVIEWED_CONFERENCE_PAPER
8	INSTITUTIONAL POSITION	Mixed	—
9	SCOPE	One unnamed large multinational software company; developers mainly in the US, also China, Kenya and others	—
10	DESIGN	Paired qualitative interviews, one frequent and one infrequent user per team, selected from tool telemetry	—
11	SAMPLE / DATASET	54 developers in 27 teams	—
12	MODEL / TOOL / VERSION	GitHub Copilot	—
13	COMPARATOR	Frequent versus infrequent users in the same team	—
14	MAIN RESULT	Uneven adoption within teams; productivity expectations from management without learning support undermine the gains that motivate adoption	—
15	INFERENTIAL TARGET	Individual and team conditions of developer generative-AI use	—
16	DOES NOT LICENSE	Prevalence; measured productivity; statistical causal claims (the authors say so)	—
17	VERIFICATION STATE	CONTENT VERIFIED	state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18	LIMITATIONS	One pro-AI firm; self-selected participants; usage measured for one tool; five of nine authors are Microsoft employees and the unnamed company is very likely Microsoft	—
19	CONTRADICTORY / SUPPORTING SOURCES	Consistent with case evidence that organizations do not invest in training	—
20	GEOGRAPHY / LANGUAGE	Multi-country	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-03, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Studies at firms that invest in learning support and see adoption converge	—
24	PUBLICATION STATUS	ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER	state: ELIGIBLE · qualifiers: INSTITUTIONAL_POSITION
25	RECORDED DATE	2026-10-15	—

Field 22 references resolved against Field Map v0.2: LD-03 (LIVING_DEBATE); D2 (DOMAIN)

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026” → Miller et al. (2026), “‘Maybe We Need Some More…” (SRC-SL-MILLER-ET-AL-ICSE-2026--v1.0) — Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026; class PEER_REVIEWED_CONFERENCE_PAPER (explicit public provenance pin)

Cited by Living Debate versions

Organizational absorption: Why micro gains do not become macro outcomes (v0.1) LD-03

Cite this page

SocioLens project. (2026, October 15). In paired interviews with 54 developers in 27 teams at a large software company committed to AI adoption, the authors identify a 'Productivity Pressure Paradox': management expected rapid productivity gains without supporting learning, which left developers without the time to build the skills that would save time [Claim LD03-SL-C09, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld03-sl-c09/v1.0/

@misc{sociolens_ld03_sl_c09_v1_0,
  author = {{SocioLens project}},
  title = {In paired interviews with 54 developers in 27 teams at a large software company committed to AI adoption, the authors identify a 'Productivity Pressure Paradox': management expected rapid productivity gains without supporting learning, which left developers without the time to build the skills that would save time.},
  year = {2026},
  date = {2026-10-15},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld03-sl-c09/v1.0/}},
  note = {Claim LD03-SL-C09, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 dbae576e02a60ef6bb9578255d1a7b33350adbf815fe1b40db073394391bdc95.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD03-SL-C09 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-15; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts. Block “ENTRY 09 — LD03-SL-C09” SHA-256 c30feeeeebdc7851075967ca25d88e990e6151b759d8a5c5175a0cf1f972db06; fixture fixtures/authored/claims/LD03-SL-C09--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD03-SL-C09 v1.0); the first version of a new Claim of the LD-03 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD03-SL-C09 v1.0" (Project Lead (Claude, AI), 2026-10-15); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 15 October 2026 to build the LD-03 debate; a new Claim, first version, written from the project's LD-03 source notes, checked against full texts or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-MILLER-ET-AL-ICSE-2026--v1.0 — basis: field 6 of ENTRY 09 — LD03-SL-C09 cites "Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-MILLER-ET-AL-ICSE-2026--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Miller, Choudhuri, Ulloa et al., “‘Maybe We Need Some More Examples:’ Individual and Team Drivers of Developer GenAI Tool Use,” Proceedings of ICSE 2026".