The Bank for International Settlements wrote in June 2024 that adoption of general-purpose technologies “typically follows a J-curve: it is slow at first, but eventually accelerates,” that AI shows features suggesting “an even steeper J-curve,” and that if AI is a true general-purpose technology that raises “total factor productivity in all industries to a similar extent,” “the demand for labour is set to increase across the board.”

SocioLens project,

Claim LD01-SL-C33 (v1.0)

Provenance and status

Claim type: 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: A measurement of productivity effects
Limitations: Mid-2024 vintage; the general-purpose-technology status is stated as conditional; adoption figures cited concern use, not productivity
Source (as cited): Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III
Source type: Policy research or monitoring report (recorded as “International financial institution report”)
Institutional position: International financial institution (central banks’ cooperation body)
Maturity of the evidence: Emerging evidence
Recorded date: 16 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III (Policy research or monitoring report)
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Version

This page shows version v1.0. Its record never changes, even when newer evidence arrives; the site may add a note to the page or withhold a figure not cleared for public use.

This pinned version is also the current version.

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

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD01-SL-C33	—
2	PUBLIC-FACING CLAIM	The Bank for International Settlements wrote in June 2024 that adoption of general-purpose technologies “typically follows a J-curve: it is slow at first, but eventually accelerates,” that AI shows features suggesting “an even steeper J-curve,” and that if AI is a true general-purpose technology that raises “total factor productivity in all industries to a similar extent,” “the demand for labour is set to increase across the board.”	—
3	CLAIM TYPE	INTERPRETATION	base_types: INTERPRETATION
4	RESEARCH STRAND	C — Infrastructure, capital and legal category	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III	source_ids: SRC-SL-BIS-AER-2024-CHAPTER-III
7	SOURCE TYPE	International financial institution report	classes: POLICY_RESEARCH_OR_MONITORING
8	INSTITUTIONAL POSITION	International financial institution (central banks’ cooperation body)	—
9	SCOPE	Global economy; AI and generative AI as of mid-2024	—
10	DESIGN	Policy analysis of AI’s economic effects for central banks	—
11	SAMPLE / DATASET	Not applicable	—
12	MODEL / TOOL / VERSION	Generative AI and large language models in general	—
13	COMPARATOR	Past general-purpose technologies such as electricity and the internet	—
14	MAIN RESULT	A conditional expectation: a steep J-curve of adoption and, if AI is a true general-purpose technology, rising labour demand across the board; if AI instead makes some tasks obsolete, some workers are displaced (Graph 8); the report notes substantial uncertainty about long-term capabilities	—
15	INFERENTIAL TARGET	What a general-purpose-technology reading of AI implies for the economy	—
16	DOES NOT LICENSE	A measurement of productivity effects	—
17	VERIFICATION STATE	CONTENT VERIFIED	state: CONTENT_VERIFIED_PRIMARY · verified_by: UNKNOWN
18	LIMITATIONS	Mid-2024 vintage; the general-purpose-technology status is stated as conditional; adoption figures cited concern use, not productivity	—
19	CONTRADICTORY / SUPPORTING SOURCES	LD01-SL-C14, LD01-SL-C15	—
20	GEOGRAPHY / LANGUAGE	Global / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-01, T4, D2	—
23	WHAT WOULD CHANGE THIS CLAIM?	Productivity data showing no acceleration over a long period, or effects confined to a few sectors	—
24	PUBLICATION STATUS	ELIGIBLE WITH INSTITUTIONAL-POSITION QUALIFIER	state: ELIGIBLE · qualifiers: INSTITUTIONAL_POSITION
25	RECORDED DATE	2026-10-16	—

Field 22 references resolved against Field Map v0.2: LD-01 (LIVING_DEBATE); T4 (TENSION); D2 (DOMAIN)

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

Pinned Sources (field 6, version-specific)

“Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III” → Bank for International Settlements (2024), “Artificial…” (SRC-SL-BIS-AER-2024-CHAPTER-III--v1.0) — Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III; class POLICY_RESEARCH_OR_MONITORING (explicit public provenance pin)

Cited by Living Debate versions

What kind of thing is generative AI, and does the answer predict anything? (v0.1) LD-01

Cite this page

SocioLens project. (2026, October 16). The Bank for International Settlements wrote in June 2024 that adoption of general-purpose technologies “typically follows a J-curve: it is slow at first, but eventually accelerates,” that AI shows features suggesting “an even steeper J-curve,” and that if AI is a true general-purpose technology that raises “total factor productivity in all industries to a similar extent,” “the demand for labour is set to increase across the board.” [Claim LD01-SL-C33, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld01-sl-c33/v1.0/

@misc{sociolens_ld01_sl_c33_v1_0,
  author = {{SocioLens project}},
  title = {The Bank for International Settlements wrote in June 2024 that adoption of general-purpose technologies “typically follows a J-curve: it is slow at first, but eventually accelerates,” that AI shows features suggesting “an even steeper J-curve,” and that if AI is a true general-purpose technology that raises “total factor productivity in all industries to a similar extent,” “the demand for labour is set to increase across the board.”},
  year = {2026},
  date = {2026-10-16},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld01-sl-c33/v1.0/}},
  note = {Claim LD01-SL-C33, 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 6f6eea5487153f7cb625f719ebe0507ef2fdefbe915c800719a69139003b7b2f.

Repository-authored inputs (not Drive exports)

SocioLens claim — LD01-SL-C33 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; 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 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 33 — LD01-SL-C33” SHA-256 95f5e685946462ca0cd2b9694bd9a9f77a0d61c4f56b19e7fd960851498cd12d; fixture fixtures/authored/claims/LD01-SL-C33--v1.0.

Builder decisions (not Drive data)

VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD01-SL-C33 v1.0); the first version of a new Claim of the LD-01 debate
CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD01-SL-C33 v1.0" (Project Lead (Claude, AI), 2026-10-16); 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 16 October 2026 to build the LD-01 debate; a new Claim, first version, written from the project's LD-01 source notes, checked against full texts, official web pages or official abstracts
FIELD_6_SOURCE_REFERENCE = SRC-SL-BIS-AER-2024-CHAPTER-III--v1.0 — basis: field 6 of ENTRY 33 — LD01-SL-C33 cites "Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
SOURCE_PROVENANCE_PIN = SRC-SL-BIS-AER-2024-CHAPTER-III--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Bank for International Settlements, “Artificial intelligence and the economy: implications for central banks,” Annual Economic Report 2024, chapter III".