From Surveillance Capitalism to AI Imperialism | Chapter 05: Talent, overhiring, valuation, and layoffs
The cleanest version of the layoffs story is not that AI suddenly made technical labor obsolete. Section 174 is a real structural factor. If this reading holds, then the AI boom is also a class story.
Talent, overhiring, valuation, and layoffs; surveillance capitalism; AI imperialism; evidence-based dossier
How does talent, overhiring, valuation, and layoffs function within the dossier’s larger argument, and what does the documentary record allow this chapter to establish?
This paper examines talent, overhiring, valuation, and layoffs within the broader dossier From Surveillance Capitalism to AI Imperialism. It is intentionally written to circulate on its own: necessary context is restated, evidence boundaries are made explicit, and cited material is reproduced in paper-local form rather than delegated to repo navigation. It contributes to the series as a paper that connects the enclosure story to labor correction, balance-sheet pressure, and the financial narratives that stabilized layoffs. Adjacent reinforcement appears in Chapter 04, Chapter 06, Chapter 09, but those cross-references are supportive rather than required for basic comprehension.
The cleanest version of the layoffs story is not that AI suddenly made technical labor obsolete. It is that AI arrived as the legitimizing language for a correction that already had deeper causes: pandemic-era overhiring, higher rates, margin pressure, weaker demand, and the tax treatment of research and software spending. The cuts were not born from one machine. They were narrated through one. 1
This paper is derived from the chapter corpus for Chapter 05 and is grounded in the project’s structured research OS. It relies on source notes, extracted claims, entity profiles, and timeline events already normalized under the dossier’s evidence hierarchy. Documented facts are asserted directly where the record supports them; disputed matters are marked as such; interpretive claims are bounded explicitly; and speculative overreach is isolated in the evidence-boundary appendix.
This paper asks: How does talent, overhiring, valuation, and layoffs function within the dossier’s larger argument, and what does the documentary record allow this chapter to establish? Its working answer is clear from the start: The cleanest version of the layoffs story is not that AI suddenly made technical labor obsolete. It is that AI arrived as the legitimizing language for a correction that already had deeper causes: pandemic-era overhiring, higher rates, margin pressure, weaker demand, and the tax treatment of research and software spending. The cuts were not born from one machine. They were narrated through one. 2 The objective is not only to recount developments, but to show why the subject of this chapter belongs inside a structural argument about extraction, enclosure, legitimacy, and reform.
Section 174 is a real structural factor. IRS guidance
and congressional repair efforts show that domestic research and
software expenses were caught in a more punitive amortization regime
after 2021, and Congress itself treated the burden as significant enough
to attempt reversal. This is not the whole story, but it is not
rhetorical decoration either. 3
The post-pandemic overhiring record is also strong. Executive statements and major reporting across Meta, Amazon, and Salesforce show a later turn toward efficiency, focus, and cost discipline after an earlier period of aggressive expansion. 4
Top-tier reporting ties the broader correction to weaker demand, margin pressure, and investor impatience, not only to AI. That matters because it prevents a monocausal story. The financial correction was already underway before AI became the universal explanation for it. 5
The BIS annual report adds the macro-financial layer. By June 2026, a major multilateral institution was openly warning that the AI capex race was outrunning earnings and free cash flow, with leverage and financing structures becoming part of the risk profile. The system was promising abundance while leaning on increasingly fragile financial scaffolding. 6
Interpretation: this is where the dossier’s economic thesis sharpens.
AI did not invent the correction, but it became the language through
which it was justified. The same story that encloses captured human
production also helps reclassify labor cuts as technological destiny
instead of the outcome of financial structure, policy, and managerial
excess. That interpretation supports Chapter 04 by showing
how enclosure and labor subordination move together. 7
This paper sits inside a coordinated 11-paper architecture. Its nearest companions are Chapter 04 (AI arrives when the human raw material already exists), Chapter 06 (AI as a dual-use rhetorical weapon), Chapter 09 (Future if no action is taken). In that series logic, Chapter 05 connects the enclosure story to labor correction, balance-sheet pressure, and the financial narratives that stabilized layoffs.
This chapter should not imply that executives always lied when they invoked AI. Some reallocation toward AI was clearly real. The stronger, more defensible claim is narrower: AI provided a legitimizing narrative layered on top of a structural correction with multiple preexisting causes. 8
This chapter should not imply that executives always lied when they invoked AI. Some reallocation toward AI was clearly real. The stronger, more defensible claim is narrower: AI provided a legitimizing narrative layered on top of a structural correction with multiple preexisting causes. 9
If this reading holds, then the AI boom is also a class story. It narrows the protected tier, weakens the technical middle class, and presents downward pressure on labor as the rational price of the future. That strengthens the patrimony argument: a system built from collective human production is being enclosed while many of the humans who made it possible are told the future no longer needs them on equal terms. 10
If this reading holds, then the AI boom is also a class story. That contradiction sharpens in the next chapter. In the architecture of this series, Chapter 05 therefore functions as a self-contained argument while also advancing the cumulative path toward the dossier’s three reforms.
This paper is designed to circulate independently. Public notes point readers to the real external documents first, then to the paper-local appendix entry that explains why each source matters.
The underlying research OS distinguishes among
Documented Fact, Disputed Fact,
Hypothesis / Interpretation, and
Speculative Narrative Risk. In Chapter 05, those boundaries
remain visible in the prose, in the bibliography, and in the appendix
sections that summarize claims and caution points.
irs-notice-2023-63. Relevance: That Section 174
amortization was not a rumor or niche accounting theory; it was the
subject of active IRS guidance.ap-amazon-salesforce-tech-purge-2023. Relevance: That major
tech layoffs were publicly tied to pandemic overexpansion and
deteriorating macro conditions.meta-year-of-efficiency-2023. Relevance: That Meta itself
framed layoffs as part of a structural response to financial conditions
and organizational inefficiency.ft-ai-exuberance-tech-weakness-2024. Relevance: That AI
enthusiasm did not eliminate the broader structural weakness of the
sector.congress-hr7024-tax-relief-2024. Relevance: That Congress
formally moved to soften or reverse the immediate impact of Section 174
on domestic research expensing.congress-hr7024-summary-2024. Relevance: That Congress
formally treated the post-2021 Section 174 regime as burdensome enough
to warrant legislative reversal or postponement.congress-hr7024-text-2024. Relevance: That the practical
Section 174 fight directly implicated software development, not only
laboratory research.ap-meta-q4-2022-overhiring. Relevance: That a major tech
company publicly linked layoffs to pandemic overhiring and slowing
post-lockdown growth.ap-meta-q4-2023-year-of-efficiency. Relevance: That Meta’s
improved financial results were publicly tied to both cost cutting and
layoffs, not just to a magical AI turnaround.axios-tech-layoffs-worker-confidence-2024. Relevance: That
the layoff cycle was large enough to materially change worker
expectations across the sector.bis-annual-economic-report-2026. Relevance: That a primary
multilateral financial institution explicitly warned in June 2026 that
the AI capex race was outrunning earnings and free cash flow.twinchat-ai-copyright-weights. Relevance: Supports a key
factual or interpretive move inside this paper.Source citation: Notice 2023-63:
Guidance on Section 174 and specified research or experimental
expenditures Institution / author: Internal Revenue
Service Date: 2023-09-08 Tier / type:
T1 / official_notice Why it matters in this paper: That
Section 174 amortization was not a rumor or niche accounting theory; it
was the subject of active IRS guidance. Corpus companion
entry: Source S-075 Audit ID:
irs-notice-2023-63
Source citation: Amazon,
Salesforce jettison jobs in latest tech worker purge
Institution / author: Associated Press
Date: 2023-01-04 Tier / type: T2 /
news_article Why it matters in this paper: That major
tech layoffs were publicly tied to pandemic overexpansion and
deteriorating macro conditions. Corpus companion entry:
Source S-008 Audit ID:
ap-amazon-salesforce-tech-purge-2023
Source citation: Mark
Zuckerberg’s Message to Meta Employees Institution /
author: Meta Date: 2023-03-14 Tier /
type: T1 / company_statement Why it matters in this
paper: That Meta itself framed layoffs as part of a structural
response to financial conditions and organizational inefficiency.
Corpus companion entry: Source S-082 Audit
ID: meta-year-of-efficiency-2023
Source citation: AI
exuberance masks broad weakness in tech sector, say investors
Institution / author: Financial Times
Date: 2024-09-09 Tier / type: T2 /
news_analysis Why it matters in this paper: That AI
enthusiasm did not eliminate the broader structural weakness of the
sector. Corpus companion entry: Source S-055
Audit ID:
ft-ai-exuberance-tech-weakness-2024
Source citation: H.R.
7024: Tax Relief for American Families and Workers Act of 2024
Institution / author: Congress.gov
Date: 2024-01-16 Tier / type: T1 /
legislation Why it matters in this paper: That Congress
formally moved to soften or reverse the immediate impact of Section 174
on domestic research expensing. Corpus companion entry:
Source S-042 Audit ID:
congress-hr7024-tax-relief-2024
Source citation: H.R.
7024: Tax Relief for American Families and Workers Act of 2024 (CRS
summary) Institution / author: Congress.gov / CRS
Date: 2024-01-31 Tier / type: T1 /
legislative_summary Why it matters in this paper: That
Congress formally treated the post-2021 Section 174 regime as burdensome
enough to warrant legislative reversal or postponement. Corpus
companion entry: Source S-041 Audit ID:
congress-hr7024-summary-2024
Source citation: H.R.
7024 text: Deduction for domestic research and experimental
expenditures Institution / author: Congress.gov /
Library of Congress Date: 2024-03-21 Tier /
type: T1 / bill_text Why it matters in this
paper: That the practical Section 174 fight directly implicated
software development, not only laboratory research. Corpus
companion entry: Source S-043 Audit ID:
congress-hr7024-text-2024
Source citation: Meta
posts lower Q4 profit, announces huge stock buyback
Institution / author: Associated Press
Date: 2023-02-01 Tier / type: T2 /
news_article Why it matters in this paper: That a major
tech company publicly linked layoffs to pandemic overhiring and slowing
post-lockdown growth. Corpus companion entry: Source
S-013 Audit ID:
ap-meta-q4-2022-overhiring
Source citation: Meta
posts sharp profit, revenue increase in Q4 thanks to cost cuts and
advertising rebound Institution / author:
Associated Press Date: 2024-02-01 Tier /
type: T2 / news_article Why it matters in this
paper: That Meta’s improved financial results were publicly
tied to both cost cutting and layoffs, not just to a magical AI
turnaround. Corpus companion entry: Source S-014
Audit ID:
ap-meta-q4-2023-year-of-efficiency
Source citation: Big
Tech layoffs shattered industry, worker confidence
Institution / author: Axios Date:
2024-01-03 Tier / type: T3 / news_analysis Why
it matters in this paper: That the layoff cycle was large
enough to materially change worker expectations across the sector.
Corpus companion entry: Source S-034 Audit
ID: axios-tech-layoffs-worker-confidence-2024
Source citation: Annual Economic Report
2026 Institution / author: Bank for International
Settlements Date: 2026-06-28 Tier /
type: T1 / report Why it matters in this
paper: That a primary multilateral financial institution
explicitly warned in June 2026 that the AI capex race was outrunning
earnings and free cash flow. Corpus companion entry:
Source S-036 Audit ID:
bis-annual-economic-report-2026
Source citation: AI
Copyright Weights: A New Frontier in Intellectual Property Law
Institution / author: TwinChat Date:
n.d. Tier / type: T3 / essay Why it matters in
this paper: Supports a key factual or interpretive move inside
this paper. Corpus companion entry: Source S-122
Audit ID:
twinchat-ai-copyright-weights
Claim statement: That major tech layoffs were
publicly tied to pandemic overexpansion and deteriorating macro
conditions. Evidence status: Documented Fact
Source support: Appendix
A2 Corpus companion entry: Claim C-022
Audit Claim ID:
ap-amazon-salesforce-tech-purge-2023-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That efficiency language was
already being used by top executives in early 2023, before later
AI-centered narratives became even more prominent. Evidence
status: Documented Fact Source support: Appendix
A2 Corpus companion entry: Claim C-023
Audit Claim ID:
ap-amazon-salesforce-tech-purge-2023-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That Chapter 5 can frame layoffs as
part of a structural correction involving cost discipline and margin
protection, not only as a pure automation story. Evidence
status: Documented Fact Source support: Appendix
A2 Corpus companion entry: Claim C-024
Audit Claim ID:
ap-amazon-salesforce-tech-purge-2023-05-talent-hoarding-section174-layoffs-claim-03
Claim statement: That a major tech company publicly
linked layoffs to pandemic overhiring and slowing post-lockdown growth.
Evidence status: Documented Fact Source
support: Appendix
A8 Corpus companion entry: Claim C-037
Audit Claim ID:
ap-meta-q4-2022-overhiring-claim-01
Claim statement: That efficiency rhetoric was
already being layered onto a revenue slowdown and investor pressure over
unprofitable strategic bets. Evidence status:
Documented Fact Source support: Appendix
A8 Corpus companion entry: Claim C-038
Audit Claim ID:
ap-meta-q4-2022-overhiring-claim-02
Claim statement: That metaverse losses were part of
the financial backdrop to Meta’s workforce correction. Evidence
status: Documented Fact Source support: Appendix
A8 Corpus companion entry: Claim C-039
Audit Claim ID:
ap-meta-q4-2022-overhiring-claim-03
Claim statement: That Meta’s improved financial
results were publicly tied to both cost cutting and layoffs, not just to
a magical AI turnaround. Evidence status: Documented
Fact Source support: Appendix
A9 Corpus companion entry: Claim C-040
Audit Claim ID:
ap-meta-q4-2023-year-of-efficiency-claim-01
Claim statement: That AI hiring resumed selectively
even after a broad labor correction, reinforcing the idea of
reallocation rather than simple technological replacement.
Evidence status: Documented Fact Source
support: Appendix
A9 Corpus companion entry: Claim C-041
Audit Claim ID:
ap-meta-q4-2023-year-of-efficiency-claim-02
Claim statement: That metaverse-related losses
remained large even as the company regained investor confidence.
Evidence status: Documented Fact Source
support: Appendix
A9 Corpus companion entry: Claim C-042
Audit Claim ID:
ap-meta-q4-2023-year-of-efficiency-claim-03
Claim statement: That the layoff cycle was large
enough to materially change worker expectations across the sector.
Evidence status: Documented Fact Source
support: Appendix
A10 Corpus companion entry: Claim C-102
Audit Claim ID:
axios-tech-layoffs-worker-confidence-2024-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That Chapter 5 can discuss the
correction as a broad labor-market event rather than a collection of
isolated firm stories. Evidence status: Documented Fact
Source support: Appendix
A10 Corpus companion entry: Claim C-103
Audit Claim ID:
axios-tech-layoffs-worker-confidence-2024-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That a primary multilateral
financial institution explicitly warned in June 2026 that the AI capex
race was outrunning earnings and free cash flow. Evidence
status: Documented Fact Source support: Appendix A11
Corpus companion entry: Claim C-107 Audit Claim
ID:
bis-annual-economic-report-2026-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That debt issuance, leverage,
opaque financing structures, and circular financing belong to the
documented risk structure of the AI buildout. Evidence
status: Documented Fact Source support: Appendix A11
Corpus companion entry: Claim C-108 Audit Claim
ID:
bis-annual-economic-report-2026-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That Chapter 05 can
support the thesis of structural correction and financial overhang
without relying only on opinion pieces or market chatter.
Evidence status: Documented Fact Source
support: Appendix A11
Corpus companion entry: Claim C-109 Audit Claim
ID:
bis-annual-economic-report-2026-05-talent-hoarding-section174-layoffs-claim-03
Claim statement: That Chapters 06,
09, and 10 can discuss the “cheap AI”
narrative against a documented backdrop of subsidy-like financing
pressure and fragile commercial returns. Evidence
status: Documented Fact Source support: Appendix A11
Corpus companion entry: Claim C-110 Audit Claim
ID:
bis-annual-economic-report-2026-05-talent-hoarding-section174-layoffs-claim-04
Claim statement: That Congress formally treated the
post-2021 Section 174 regime as burdensome enough to warrant legislative
reversal or postponement. Evidence status: Documented
Fact Source support: Appendix
A6 Corpus companion entry: Claim C-123
Audit Claim ID:
congress-hr7024-summary-2024-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That the practical effect of the
existing rule can be described in plain English: firms were being pushed
into five-year deduction treatment for domestic research costs until the
proposed relief would restore expensing through 2025. Evidence
status: Documented Fact Source support: Appendix
A6 Corpus companion entry: Claim C-124
Audit Claim ID:
congress-hr7024-summary-2024-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That Chapter 5 can treat Section
174 as a material structural factor in the post-pandemic correction
without pretending it was the only cause of layoffs. Evidence
status: Documented Fact Source support: Appendix
A6 Corpus companion entry: Claim C-125
Audit Claim ID:
congress-hr7024-summary-2024-05-talent-hoarding-section174-layoffs-claim-03
Claim statement: That Congress formally moved to
soften or reverse the immediate impact of Section 174 on domestic
research expensing. Evidence status: Documented Fact
Source support: Appendix
A5 Corpus companion entry: Claim C-126
Audit Claim ID:
congress-hr7024-tax-relief-2024-claim-01
Claim statement: That the practical consequences of
Section 174 were concrete enough to generate a serious legislative
response. Evidence status: Documented Fact
Source support: Appendix
A5 Corpus companion entry: Claim C-127
Audit Claim ID:
congress-hr7024-tax-relief-2024-claim-02
Claim statement: That Chapter 5 can frame Section
174 as a live business issue rather than an after-the-fact excuse
invented by commentators. Evidence status: Documented
Fact Source support: Appendix
A5 Corpus companion entry: Claim C-128
Audit Claim ID:
congress-hr7024-tax-relief-2024-claim-03
Claim statement: That the practical Section 174
fight directly implicated software development, not only laboratory
research. Evidence status: Documented Fact
Source support: Appendix
A7 Corpus companion entry: Claim C-129
Audit Claim ID:
congress-hr7024-text-2024-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That the legislative response was
not vague rhetoric; it proposed specific statutory language restoring
domestic deductions and naming software explicitly. Evidence
status: Documented Fact Source support: Appendix
A7 Corpus companion entry: Claim C-130
Audit Claim ID:
congress-hr7024-text-2024-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That Chapter 5 can connect the
accounting treatment of software and R&D spending to the financial
environment of large tech employers. Evidence status:
Documented Fact Source support: Appendix
A7 Corpus companion entry: Claim C-131
Audit Claim ID:
congress-hr7024-text-2024-05-talent-hoarding-section174-layoffs-claim-03
Claim statement: That AI enthusiasm did not
eliminate the broader structural weakness of the sector.
Evidence status: Documented Fact Source
support: Appendix
A4 Corpus companion entry: Claim C-173
Audit Claim ID:
ft-ai-exuberance-tech-weakness-2024-05-talent-hoarding-section174-layoffs-claim-01
Claim statement: That a serious T2
source explicitly connects post-pandemic overhiring, weak demand, and
investment reallocation to the industry’s ongoing malaise.
Evidence status: Documented Fact Source
support: Appendix
A4 Corpus companion entry: Claim C-174
Audit Claim ID:
ft-ai-exuberance-tech-weakness-2024-05-talent-hoarding-section174-layoffs-claim-02
Claim statement: That Chapter 5 can argue AI was
layered onto an existing correction rather than causing it from scratch.
Evidence status: Documented Fact Source
support: Appendix
A4 Corpus companion entry: Claim C-175
Audit Claim ID:
ft-ai-exuberance-tech-weakness-2024-05-talent-hoarding-section174-layoffs-claim-03
Claim statement: That Section 174 amortization was
not a rumor or niche accounting theory; it was the subject of active IRS
guidance. Evidence status: Documented Fact
Source support: Appendix
A1 Corpus companion entry: Claim C-240
Audit Claim ID:
irs-notice-2023-63-claim-01
Claim statement: That U.S. firms with research-heavy
cost structures had to account for a changed tax treatment of those
expenditures. Evidence status: Documented Fact
Source support: Appendix
A1 Corpus companion entry: Claim C-241
Audit Claim ID:
irs-notice-2023-63-claim-02
Claim statement: That Chapter 5 can legitimately
treat Section 174 as one documented structural factor in the financial
environment facing software and R&D-heavy companies.
Evidence status: Documented Fact Source
support: Appendix
A1 Corpus companion entry: Claim C-242
Audit Claim ID:
irs-notice-2023-63-claim-03
Claim statement: That Meta itself framed layoffs as
part of a structural response to financial conditions and organizational
inefficiency. Evidence status: Documented Fact
Source support: Appendix
A3 Corpus companion entry: Claim C-272
Audit Claim ID:
meta-year-of-efficiency-2023-claim-01
Claim statement: That AI investment was presented
alongside workforce reduction, not as a later justification invented by
outsiders. Evidence status: Documented Fact
Source support: Appendix
A3 Corpus companion entry: Claim C-273
Audit Claim ID:
meta-year-of-efficiency-2023-claim-02
Claim statement: That interest rates, regulation,
and margin discipline were explicit parts of the company’s own
explanation. Evidence status: Documented Fact
Source support: Appendix
A3 Corpus companion entry: Claim C-274
Audit Claim ID:
meta-year-of-efficiency-2023-claim-03
Claim statement: That AI was often used as a
legitimizing narrative layered on top of an existing structural
correction driven by overhiring, rates, margin pressure, and
tax-treatment shifts rather than as the sole cause of the cuts.
Evidence status: Hypothesis / Interpretation
Source support: Appendix
A1, Appendix
A3, Appendix
A4, Appendix
A11 Corpus companion entry: Claim C-431
Audit Claim ID:
vector05-legitimizing-narrative-synthesis-claim-01
Claim statement: That AI alone caused the
post-pandemic tech layoff cycle or fully explains wage compression and
labor insecurity across the sector. Evidence status:
Speculative Narrative Risk Source support: Appendix
A1, Appendix
A8, Appendix
A11 Corpus companion entry: Claim C-430
Audit Claim ID:
vector05-ai-alone-caused-layoffs-overclaim-claim-01
Event summary: Amazon and Salesforce tie layoffs to
overhiring and cost structure Event date: 2023-01-04
Source support: Appendix
A2 Corpus companion entry: Event T-020
Audit Event ID:
event-amazon-salesforce-purge-2023-01-04
Event summary: Meta announces deeper cuts in its
Year of Efficiency Event date: 2023-03-14
Source support: Appendix
A3 Corpus companion entry: Event T-022
Audit Event ID:
event-meta-efficiency-2023-03-14
Event summary: The IRS issues Notice 2023-63 on
Section 174 expenditures Event date: 2023-09-08
Source support: Appendix
A1 Corpus companion entry: Event T-029
Audit Event ID:
event-irs-section174-2023-09-08
Event summary: The House passes H.R. 7024 with
Section 174 relief language Event date: 2024-01-31
Source support: Appendix
A5 Corpus companion entry: Event T-038
Audit Event ID:
event-hr7024-passed-house-2024-01-31
Event summary: Congressional summary explains
temporary domestic R&D expensing relief Event date:
2024-01-31 Source support: Appendix
A6 Corpus companion entry: Event T-039
Audit Event ID:
event-hr7024-summary-2024-01-31
Event summary: H.R. 7024 text explicitly covers
domestic R&D deductions and software Event date:
2024-03-21 Source support: Appendix
A7 Corpus companion entry: Event T-046
Audit Event ID:
event-hr7024-text-2024-03-21
Event summary: Financial Times says AI exuberance
masks broader tech weakness Event date: 2024-09-09
Source support: Appendix
A4 Corpus companion entry: Event T-054
Audit Event ID:
event-ft-tech-weakness-ai-2024-09-09
Entity type: business_unit Role in this
paper: Actor relevant to
12_cambridge_analytica_meta_metaverse_rebrand,
05_talent_hoarding_section174_layoffs. Relevant sources in this
paper: Appendix
A8, Appendix
A9 Corpus companion entry: Entity E-031
Audit Entity ID: org-reality-labs
Entity type: company Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs.
Relevant sources in this paper: Appendix
A2, Appendix
A10 Corpus companion entry: Entity E-033
Audit Entity ID: org-salesforce
Entity type: government Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs.
Relevant sources in this paper: Appendix
A1 Corpus companion entry: Entity E-023
Audit Entity ID: org-irs
Entity type: government Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs.
Relevant sources in this paper: Appendix
A5, Appendix
A6, Appendix
A7 Corpus companion entry: Entity E-036
Audit Entity ID: org-us-congress
Entity type: person Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs.
Relevant sources in this paper: Appendix
A2 Corpus companion entry: Entity E-042
Audit Entity ID: person-andy-jassy
Entity type: person Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs.
Relevant sources in this paper: Appendix
A2 Corpus companion entry: Entity E-053
Audit Entity ID: person-marc-benioff
Entity type: person Role in this
paper: Actor relevant to 05_talent_hoarding_section174_layoffs,
08_power_networks_legitimacy_capture, 09_future_if_unchecked,
12_cambridge_analytica_meta_metaverse_rebrand. Relevant sources
in this paper: Appendix
A3 Corpus companion entry: Entity E-054
Audit Entity ID:
person-mark-zuckerberg
Sources: Internal Revenue Service, Notice 2023-63: Guidance on Section 1… (2023-09-08; see Appendix A1); Associated Press, Amazon, Salesforce jettison jobs in l… (2023-01-04; see Appendix A2); Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Financial Times, AI exuberance masks broad weakness in… (2024-09-09; see Appendix A4)↩︎
Sources: Internal Revenue Service, Notice 2023-63: Guidance on Section 1… (2023-09-08; see Appendix A1); Associated Press, Amazon, Salesforce jettison jobs in l… (2023-01-04; see Appendix A2); Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Financial Times, AI exuberance masks broad weakness in… (2024-09-09; see Appendix A4)↩︎
Sources: Internal Revenue Service, Notice 2023-63: Guidance on Section 1… (2023-09-08; see Appendix A1); Congress.gov, H.R. 7024: Tax Relief for American Fa… (2024-01-16; see Appendix A5); Congress.gov / CRS, H.R. 7024: Tax Relief for American Fa… (2024-01-31; see Appendix A6); Congress.gov / Library of Congress, H.R. 7024 text: Deduction for domesti… (2024-03-21; see Appendix A7)↩︎
Sources: Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Associated Press, Meta posts lower Q4 profit, announces… (2023-02-01; see Appendix A8); Associated Press, Meta posts sharp profit, revenue incr… (2024-02-01; see Appendix A9); Associated Press, Amazon, Salesforce jettison jobs in l… (2023-01-04; see Appendix A2)↩︎
Sources: Financial Times, AI exuberance masks broad weakness in… (2024-09-09; see Appendix A4); Axios, Big Tech layoffs shattered industry,… (2024-01-03; see Appendix A10)↩︎
Sources: Bank for International Settlements, Annual Economic Report 2026 (2026-06-28; see Appendix A11)↩︎
Sources: Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Financial Times, AI exuberance masks broad weakness in… (2024-09-09; see Appendix A4); Bank for International Settlements, Annual Economic Report 2026 (2026-06-28; see Appendix A11)↩︎
Sources: Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Associated Press, Amazon, Salesforce jettison jobs in l… (2023-01-04; see Appendix A2)↩︎
Sources: Meta, Mark Zuckerberg’s Message to Meta Emp… (2023-03-14; see Appendix A3); Associated Press, Amazon, Salesforce jettison jobs in l… (2023-01-04; see Appendix A2)↩︎
Sources: Internal Revenue Service, Notice 2023-63: Guidance on Section 1… (2023-09-08; see Appendix A1); Bank for International Settlements, Annual Economic Report 2026 (2026-06-28; see Appendix A11); TwinChat, AI Copyright Weights: A New Frontier… (n.d.; see Appendix A12)↩︎