A living research series · 12 articles

The R&D Ratchet

How America lost the institutions that could think long—and the narrow window to build what comes next

A firsthand, evidence-led inquiry into the incentive structures that replaced the American industrial research laboratory, what those structures preserve and destroy, and how an AI-native public–private successor might be designed.

0 published 1 in research 11 planned 4 evidence classes

Conceptual illustration—not a depiction of a specific laboratory or historical event.

The proposition

The institutions are the evidence. The incentive structures are the subject.

America did not simply defund research. It replaced one institutional equilibrium with several narrower ones—quarterly corporate returns, finite government programs, billable projects, publication metrics, patent accounting, and venture-scale exits. Each can be locally rational and productive while the combined system consumes inherited capability faster than it replenishes it.

This is a thesis to test, not a conclusion to assume. Each article will separate scientific, technical, transition, institutional, economic, and public-value outcomes—and will state the strongest evidence against its own interpretation.

The spending paradox

A near-trillion-dollar flow does not reveal the state of the system

National accounts measure activity far better than they measure retained teams, tacit knowledge, apprenticeships, facilities, or the ability to carry an uncertain idea across institutional borders.

Estimated U.S. R&D, 2024

$993.4B

14.6%Basic 18.2%Applied 67.3%Development

Current dollars and estimated composition. Source and qualifications

What the total cannot tell us

1. 01

   Continuity Did a capable team survive between projects?

2. 02

   Memory Were failed paths and experimental judgment retained?

3. 03

   Integration Could research cross hardware, software, product, and mission boundaries?

4. 04

   Transition Did anyone own the work after the prototype?

U.S. R&D grew; its composition tilted toward development

Billions of constant 2017 U.S. dollars

Move across the chart or focus it and use the arrow keys to inspect values.

The chart does not prove institutional decline. It establishes the paradox the series must explain: high and rising activity can coexist with weaker long-lived organizational capability. Inspect the source record.

View the chart data as a table

Billions of constant 2017 U.S. dollars

Year	Basic research	Applied research	Experimental development
2000	57.8	77.7	233.0
2005	73.4	85.5	239.9
2010	85.3	88.0	280.3
2015	86.7	99.8	321.6
2020	105.9	125.6	448.4
2024	115.5	143.9	532.7

Twenty-five years inside a thirty-year transformation

The route through the incentive systems

The personal record begins in 2001. The institutional arc begins with the 1996 Bell Labs split and continues through the transactions reshaping PARC and HRL.

1. 1996

   DDocumented

   Bell Labs split

   AT&T spun most of Bell Labs and its equipment business into Lucent; a smaller research organization remained with AT&T.

   Source
2. 2001

   MFirsthand

   Lucent / Bell Labs

   Karim’s summer internship during the telecom contraction.

3. 2007

   MFirsthand

   AT&T Research

   Research internship during graduate school, enabling comparison between two descendants of the Bell system.

4. 2010–16

   MFirsthand

   HRL Laboratories

   Mission-driven industrial R&D spanning secure systems, privacy, cloud infrastructure, biometrics, and cyber-physical systems.

5. 2017–22

   MFirsthand

   SRI International

   Nonprofit contract research, internal seed work, and multi-institution government programs.

6. 2022–

   MFirsthand

   Confidencial

   The transition from research and patents to product, procurement, customers, and company survival.

7. 2023

   DDocumented

   PARC joins SRI

   A documented institutional case observed as an SRI alumnus, not as an inside witness to the transaction.

   Source
8. 2026

   DDocumented

   IBM announces HRL agreement

   The agreement was announced July 23 and remained subject to closing conditions at the time of this page’s update.

   Source

Comparative institutional analysis

Nine incentive structures, nine different bargains

Select a model for a concise reading, then use the table to compare the same variables across every regime.

Classical Bell Labs

Vertically integrated corporate laboratory

Who pays

Regulated and market revenues inside an integrated operating and manufacturing system

Real horizon

Decade-scale when the parent system is stable

What it preserves

Cross-layer teams, apprenticeship, facilities, and patient problem selection

Characteristic failure

The research cross-subsidy depends on an economic and regulatory settlement that may not survive restructuring

Compare all incentive structures

Model	Payer	Real horizon	Preserves	Characteristic failure
Vertically integrated corporate laboratoryClassical Bell Labs	Regulated and market revenues inside an integrated operating and manufacturing system	Decade-scale when the parent system is stable	Cross-layer teams, apprenticeship, facilities, and patient problem selection	The research cross-subsidy depends on an economic and regulatory settlement that may not survive restructuring
Post-breakup equipment-company researchLucent-era Bell Labs	Equipment revenues and capital markets	Strategic in principle; exposed to product and industry cycles in practice	Deep hardware and systems expertise near manufacturing and product groups	Parent-company distress can compress the horizon faster than research culture can adapt
Network-operator research laboratoryAT&T Labs Research	Communications-services business	Medium to long, with continuing pressure for operational relevance	Real operational problems, data, and feedback from deployed infrastructure	Broad spillovers may escape the sponsor while corporate priorities narrow the research surface
Owner-sponsored, mission-driven industrial laboratoryHRL Laboratories	Strategic owners and government mission sponsors	Program clocks nested inside longer-lived technical capabilities	Specialized facilities and ambitious applied science beyond consumer-market horizons	Sponsor boundaries and contract portfolios can turn durable capability into disconnected projects
Independent nonprofit contract-research instituteSRI International	Government and commercial contracts, plus limited internal investment	Finite projects carried by an institution intended to persist across them	Multidisciplinary teams and networks across sponsors and performers	Chargeability, proposal churn, and funding cliffs can become the institution’s hidden operating system
Time-bounded agency program networkDARPA, DHS, IARPA, ARPA-H programs	Public mission agencies	Finite programs led by empowered program managers	Urgency, cross-organizational coordination, and permission to attempt high-risk work	The program can create a temporary laboratory without funding a permanent institutional home for what it learns
University research systemResearch universities	Public grants, tuition, philanthropy, and endowments	Grant, degree, and tenure clocks	Open knowledge, intellectual diversity, and the talent pipeline	Integration, maintenance, negative results, and long transition work are frequently under-rewarded
Venture-backed technology transitionResearch spinouts and startups	Investors and customers	Runway, market adoption, and financing cycles	Concentrated execution on one transition path	A startup cannot rationally maintain the broad research commons from which its product emerged
AI-native public–private laboratoryProposed design; informed by NAIRR, NSTC, FFRDCs, DARPA, and DOE laboratories	Long-charter public capital, industry membership, mission procurement, and philanthropy	Rolling ten- to fifteen-year mission charters with layered review	Shared infrastructure, institutional memory, apprenticeship, and complementary transition assets	Must be designed against political capture, incumbent capture, bureaucracy, mission drift, and performative metrics

Causal argument map

How locally rational incentives can produce systemic capability loss

Select a node to isolate its claim, evidence classes, and causal neighborhood. Connections represent propositions the articles must substantiate—not settled facts.

Inherited capability

Replacement incentives

System behavior

Capability loss

Observable outcome

Design pressure

Design response

Publication architecture

Twelve articles, added as their evidence closes

The landing page remains the map. Each published article will become a stable, separately sourced record rather than replacing this overview.

1. 01 In research

   National R&D statistics; IBM/HRL; SRI/PARC

   The Nearly Trillion-Dollar R&D System That Cannot Think Long

   R&D expenditure is a flow; research capability is accumulated state.

   Planned visual evidence

   • Interactive R&D trend chart
   • National capability balance sheet
   • Source-backed argument map
2. 02 Planned

   Lucent / Bell Labs, 2001

   I Arrived at Bell Labs as Lucent Was Coming Apart

   Scientific excellence and corporate fragility can coexist.

   Planned visual evidence

   • Memory-versus-document timeline
   • Corporate horizon diagram
   • Annotated telecom context
3. 03 Planned

   Lucent and AT&T

   One Heritage, Two Incentive Systems

   Parent economics determine which parts of a research culture can survive.

   Planned visual evidence

   • Split-lineage map
   • Side-by-side incentive table
   • Problem-to-operation pathways
4. 04 Planned

   HRL Laboratories, 2010–2016

   HRL and the Bargain of Mission-Driven Research

   A durable mission customer protects ambitious work while also defining its boundaries.

   Planned visual evidence

   • Funding-and-mission map
   • Capability-versus-project layers
   • Patent-to-program network
5. 05 Planned

   SRI International, 2017–2022

   SRI and the Project-Funded Institution

   An institution can persist across projects while its people remain governed by project clocks.

   Planned visual evidence

   • Program portfolio map
   • Chargeability pressure loop
   • Collaboration network
6. 06 Planned

   RACE, SIEVE, DPRIVE, DHS, and IARPA programs

   DARPA Can Create a Temporary Laboratory. What Happens When the Program Ends?

   The program model coordinates breakthroughs but does not automatically preserve the capability it assembles.

   Planned visual evidence

   • Temporary-lab lifecycle
   • Program handoff map
   • Artifact survival ledger
7. 07 Planned

   PARC, Xerox, and SRI

   PARC and the Appropriability Trap

   Invention, recognition, complementary assets, and value capture are four different capabilities.

   Planned visual evidence

   • Four-capability matrix
   • IP-and-host timeline
   • Spillover map
8. 08 Planned

   Karim’s publication, patent, program, and transition record

   Papers, Patents, Prototypes—and Vanishing Capability

   Output metrics can rise while the ability to produce the next generation of work declines.

   Planned visual evidence

   • Output-versus-capability dashboard
   • Test-of-time timeline
   • Evidence-quality matrix
9. 09 Planned

   Confidencial and research spinouts

   The Startup Is Not a Research Laboratory

   A startup can complete one transition but cannot rationally maintain the research commons.

   Planned visual evidence

   • Paper-to-product work map
   • Incentive comparison
   • Missing-middle cost stack
10. 10 Planned

    SRI/PARC and the announced IBM/HRL transaction

    Consolidation as Triage

    Preservation should be measured by surviving teams and capabilities, not by the transaction announcement.

    Planned visual evidence

    • Before-and-after capability ledger
    • Acquisition outcome tree
    • Five-year scorecard
11. 11 Planned

    The remaining mentorship overlap

    The Last Transfer Window

    Institutional memory is perishable, making delay more costly than budget statistics reveal.

    Planned visual evidence

    • Mentorship-chain model
    • Capability decay curves
    • Window indicators
12. 12 Planned

    A proposed successor informed by NAIRR, NSTC, FFRDCs, DARPA, and DOE laboratories

    An AI-Native Laboratory for the Public Good

    A successor must align capital, careers, infrastructure, AI, transition, and public value in one institutional design.

    Planned visual evidence

    • Interactive lab brain map
    • Governance and IP tiers
    • Ten-year pilot roadmap

Showing all 12 articles.

The narrow path forward

An AI-native laboratory is an institution, not a model with a building

The proposed successor joins six systems that are usually funded, governed, and evaluated separately. Select a node to inspect its institutional function.

Shared AI infrastructure

NAIRR

Compute, data, tools, training, and public–private resource contributions.

Evidence

Precompetitive technical commons

NSTC

Research, prototyping, commercialization, collaboration, and workforce development.

Evidence

Long-term mission relationship

FFRDCs

Continuity, institutional memory, special access, objectivity, and public-interest obligations.

Evidence

Portfolio leadership

DARPA

Empowered program managers, ambitious goals, milestones, and cross-sector performer networks.

Evidence

Inspectable claims

Source ledger

1. Federal statistical table2026

   Indicators 2026: U.S. R&D expenditures by type, selected years 2000–2024

   National Center for Science and Engineering Statistics. Supports: R&D totals, constant-dollar trends, and the basic/applied/development composition.

2. Institutional primary sourceCurrent institutional history

   Bell Labs history

   Nokia Bell Labs. Supports: The 1996 AT&T/Lucent split and later Bell Labs institutional transitions.

3. Transaction announcement2026-07-23

   IBM to acquire HRL Laboratories

   IBM. Supports: The signed agreement, stated rationale, ownership at announcement, and pending closing status.

4. Institutional primary sourceCurrent institutional history

   About SRI International

   SRI International. Supports: SRI’s institutional history and PARC’s 2023 integration.

5. Transaction announcement2023-04-24

   Xerox announces donation of PARC to SRI International

   Xerox. Supports: The form, rationale, and announced structure of the PARC transfer.

6. Agency primary sourceCurrent program description

   Become a program manager

   DARPA. Supports: Fixed program-manager tenure, portfolio authority, milestones, and performer coordination.

7. Federal oversight report2008

   Federal Research—Management and Oversight of FFRDCs

   U.S. Government Accountability Office. Supports: Long-term government relationships, institutional memory, objectivity, and special access in the FFRDC model.

8. Agency progress report2026-03-19

   NAIRR at two years

   U.S. National Science Foundation. Supports: Shared AI resources, federal/private participation, research access, and the move toward durable infrastructure.

9. Agency primary sourceCurrent program description

   National Semiconductor Technology Center

   National Institute of Standards and Technology. Supports: The public–private consortium, prototyping, investment, collaboration, and workforce model.

10. Agency primary sourceCurrent program description

    Technology Commercialization Fund

    U.S. Department of Energy. Supports: Cost-shared lab-to-market partnerships and commercialization infrastructure.