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Plain-language issue guide

Artificial Intelligence, Technology and Data Privacy

Artificial Intelligence, Technology and Data Privacy compares broad computer, science and telecommunications filings with the narrower words filers used for AI, privacy, and data protection. It was selected because four current organizations report activity in these categories and because the distinction between code and language materially changes the reading. The matches are distributed across the represented organizations rather than dominated by one profile.

Data retrieved through Sep 4, 2026 · Content reviewed Sep 4, 2026

Editorial illustration representing artificial intelligence, technology, and data privacy.

Gov Influence analytical brief

Bottom-line assessment

Gov Influence assessmentModerate confidence

Artificial Intelligence, Technology and Data Privacy filing activity was distributed across 4 reviewed organizations, with no single organization accounting for half of the matches.

62 retained filings matched this issue group. Microsoft had the largest count at 25 (40%), and 4 organizations appeared in both quarters.

Evidence and reasoning

Reasoning: Gov Influence uses a transparent majority threshold: one organization must account for at least 50% of matched filings for the pattern to be called concentrated. The leading share is 40%; recurrence across both comparable quarters helps distinguish a sustained collection pattern from a single-quarter cluster. These measures describe filing distribution, not political importance, position, effort, or influence.

Scope: 2026 Q1–Q2, within the reviewed Gov Influence collection for Artificial Intelligence, Technology and Data Privacy.

Other plausible interpretation

  • Quarterly filing cadence, organization reporting structure, and the breadth of the official issue codes may shape the distribution; the selected six-organization, two-quarter collection does not establish a longer-term or Washington-wide pattern.

Method: issue-profile-assessment-v1

Editorial review: Gov Influence editorial review; Sep 8, 2026

A broad technology-code match remains broader than AI or privacy, and explicit wording still records a subject rather than a position or effect.

Why this matters

What the pattern adds to the record

The current pattern is broad and distributed; its most useful feature is the gap between general technology-code matches and the smaller set of filings that explicitly identify AI or privacy subjects.

Supporting analysis

Key findings

Calculated from recordsHigh confidence

Broad technology-code matches and explicit AI or privacy wording are not interchangeable.

Among 62 broad CPI, SCI, or TEC filing matches, 43 contain explicit AI wording, 34 contain explicit privacy wording, and 10 contain neither; AI and privacy counts can overlap.

Evidence and reasoning

Reasoning: The broad-code count uses exact official LDA categories, while the narrower counts search the retained source descriptions for a reviewed set of literal AI and privacy terms. Keeping those layers separate prevents a broad technology category from being restated as a specific AI or privacy claim and does not infer a position from either layer.

Scope: 2026 Q1–Q2, within the reviewed Gov Influence collection for Artificial Intelligence, Technology and Data Privacy.

Method: issue-code-language-v1

Editorial review: Gov Influence editorial review; Sep 8, 2026

Calculated from recordsHigh confidence

4 reviewed organizations account for the 62 matched filings on this issue page.

Microsoft: 25; Meta: 24; Amazon: 8; AARP: 5.

Evidence and reasoning

Reasoning: The calculation assigns each matched canonical filing to its reviewed organization identity, then orders counts by filing frequency with an alphabetical tie break. It is a distribution measure within the selected collection, not an influence score, sector ranking, or statement about a subject's political importance.

Scope: 2026 Q1–Q2, within the reviewed Gov Influence collection for Artificial Intelligence, Technology and Data Privacy.

Method: issue-organization-distribution-v1

Editorial review: Gov Influence editorial review; Sep 8, 2026

Calculated from recordsHigh confidence

Artificial Intelligence, Technology and Data Privacy had the same matched filing count in both reviewed quarters.

2026-Q1: 31 filings from 4 organizations; 2026-Q2: 31 filings from 4 organizations.

Evidence and reasoning

Reasoning: Each canonical filing is counted once within this issue group when at least one activity carries an included official code. Comparing the same selected organizations and adjacent reporting quarters measures filing frequency only; it does not establish increasing or decreasing political importance, effort, or effect.

Scope: 2026 Q1–Q2, within the reviewed Gov Influence collection for Artificial Intelligence, Technology and Data Privacy.

Method: issue-quarter-comparison-v1

Editorial review: Gov Influence editorial review; Sep 8, 2026

Show 1 additional reviewed finding
Calculated from recordsHigh confidence

4 organizations recur across both quarters, and 26 reviewed outside firms appear in the matched filings.

Recurring organizations: Microsoft, Meta, Amazon, AARP. Outside-firm counts use approved registrant identities and their supporting canonical filings.

Evidence and reasoning

Reasoning: An organization is counted as recurring only when at least one matched canonical filing appears in each quarter. A firm is counted only when a matched filing carries an approved outside-firm registrant identity and client relationship. Recurrence and disclosed firm-client structure do not establish coordination, access, position, or results.

Scope: 2026 Q1–Q2, within the reviewed Gov Influence collection for Artificial Intelligence, Technology and Data Privacy.

Method: issue-recurrence-relationships-v1

Editorial review: Gov Influence editorial review; Sep 8, 2026

Focused starting collection

Why this is in the initial collection

Technology records are easy to overgeneralize: an official Computer Industry, Science/Technology, or Telecommunications code can cover far more than AI or privacy. This issue was chosen to make that difference inspectable across Amazon, Microsoft, AARP, and Meta. It supports organization and firm comparisons while the literal-language check shows which records actually name artificial intelligence, privacy, or data protection.

What this edition covers: The page counts retained Q1 and Q2 2026 filings using CPI, SCI, or TEC, then checks their original descriptions for reviewed AI and privacy terms.

Questions this page helps answer

  • Which filings actually name AI or privacy?
  • How is technology activity distributed?
  • Which organizations and firms connect through the broad codes?
Site calculation

How the matched filings compare by quarter

Each retained filing is counted once on this issue page even when it carries more than one included code.

Matched organizations and filings during 2026 Q1 and 2026 Q2
Reporting quarterOrganizationsFilings
2026 Q1431
2026 Q2431

17 of this page’s 62 filing matches also appear in at least one other issue group. A filing can report several official codes, so issue totals must not be added as if they were unique records.

How the selected organizations compare

This comparison counts filing matches within the six-organization collection. Longer bars mean more matched filings here, not more influence or policy importance.

Matched filing count by organization during 2026 Q1 and 2026 Q2
AARP5
Amazon8
Meta24
Microsoft25
Exact matched filing counts
OrganizationTotal2026 Q12026 Q2
AARP532
Amazon844
Meta241212
Microsoft251213
Show separately reported amount context for these filing matches

Amounts apply to whole organization filings, which can cover matters outside this issue group. Self-reported expenses and outside-firm income have different reporting bases and are never added together.

Filing-level amount context, kept separate by reporting basis
OrganizationQuarterFilingsSelf-reported expensesOutside-firm income
AARP2026-Q13$3,830,000 (partial)$30,000 (partial)
AARP2026-Q22unreported$30,000 (partial)
Amazon2026-Q14$4,380,000$180,000
Amazon2026-Q24$4,360,000$180,000
Meta2026-Q112no applicable records$632,500
Meta2026-Q212no applicable records$632,500
Microsoft2026-Q112$2,390,000$630,000
Microsoft2026-Q213$2,690,000$660,000

Broad technology codes versus specific AI and privacy wording

The literal check reads the original activity descriptions for “AI,” “artificial intelligence,” and reviewed privacy or data-protection terms. It does not infer synonyms or positions.

Broad-code filing matches
62
Explicit AI wording
43
Explicit privacy wording
34
Neither explicit match
10

A filing can mention both AI and privacy, so those two wording counts overlap. A broad-code match without either term still belongs in the official-code comparison.

Reviewed filing relationships

Outside firms appearing with this issue

These profiles appear because a retained filing uses this issue group's reviewed official code and identifies the firm's approved LDA registrant ID. A shared code does not establish a policy position, coordination, or effect.

Context, not causation

Why these records and guides are connected

Organization links come from this issue group’s reviewed filing codes. Bill links require an explicit matched-activity reference, a separately approved subject link, or a reviewed classification based on the bill’s official title, policy area, or subjects. None of these connections proves influence, support, opposition, or effect.

Organizations represented in the matched filings

Reviewed code match

See AARP’s reviewed lobbying profile

5 retained filings from 2026 Q1 and 2026 Q2 use at least one code in this issue group. That count does not establish a policy position or outcome.

Reviewed code match

See Amazon’s reviewed lobbying profile

8 retained filings from 2026 Q1 and 2026 Q2 use at least one code in this issue group. That count does not establish a policy position or outcome.

Reviewed code match

See Meta’s reviewed lobbying profile

24 retained filings from 2026 Q1 and 2026 Q2 use at least one code in this issue group. That count does not establish a policy position or outcome.

Selected bills with a reviewed reason to appear

Legislative context

Explore why HR 9985 appears with this issue

The reviewed bill classification uses the official title, policy area, or subjects to place this bill in the same browsing topic. Reviewed classification based on the official bill title and Government Operations and Politics policy area; it does not state a position on the bill. This is a record connection, not a causal claim.

Show the source records for this connection

Legislative context

Explore why S 4946 appears with this issue

The reviewed bill classification uses the official title, policy area, or subjects to place this bill in the same browsing topic. Reviewed classification based on the official title’s health-data and privacy wording and the Commerce policy area; it does not state a position on the bill. This is a record connection, not a causal claim.

Show the source records for this connection

Learn how to read the connection

Lobbying disclosure

Official code mapping and original source wording

The summary above uses broad official Lobbying Disclosure Act (LDA) categories. Open these details to inspect the full mapping and examples in the filer’s own words.

Show all included codes and the classification boundary

A normalized Gov Influence group for reviewed filings that use CPI, SCI, or TEC. Because those official codes are broader than artificial intelligence or privacy, the page separately checks the original descriptions for explicit AI and privacy wording.

Official source codes included in this issue group
Code and official labelPlain distinctionOrganizationsFilingsActivities
CPI — Computer IndustryComputer Industry records33939
SCI — Science/TechnologyScience and Technology records31818
TEC — TelecommunicationsTelecommunications records32424

Included

  • Include a retained filing once when any activity reports CPI, SCI, or TEC.
  • Label AI or privacy as explicit only when the original filing description contains a reviewed literal term.

Excluded

  • Do not describe every CPI, SCI, or TEC match as AI or privacy activity.
  • A generic reference to technology, computers, science, telecommunications, innovation, or digital policy is too broad to qualify as an explicit AI/privacy mention.

Classification method: Only filings carrying the reviewed Computer Industry, Science/Technology, or Telecommunications LDA issue codes enter this grouping.

Read representative original filing descriptions

One reproducible example is selected for each included code by organization name and filing ID. The examples preserve source wording and are not a ranking.

CPI · Amazon · 2026 Q2

Issues related to cybersecurity, cloud security, IT modernization, and government procurement, including the National Defense Authorization Act for Fiscal Year 2027 (H.R. 8800), implementation of the FY26 National Defense Authorization Act (P.L. 119-60), the Strengthening Agency Management and Oversight of Software Assets Act (H.R. 1695 / S. 931), the Protecting AI and Cloud Competition in Defense Act of 2025 (H.R. 3434 / S. 1775), implementation of the Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025 (P.L. 118-159), and the Federal Improvement in Technology (FIT) Procurement Act (H.R. 4123).

SCI · Amazon · 2026 Q2

AI Policy

TEC · AARP · 2026 Q2

H.R. 1027 & S. 3354 - The Quiet Act Issues and matters related to telecommunications and older adults

Sources and interpretation

What this page cannot show

  • A policy position when the filing reports only a broad technology code or subject.
  • Whether an AI, privacy, science, computer, or telecommunications proposal benefited an organization.
  • Technology-related activity outside the selected codes, organizations, or period.
  • Code matches, descriptions, timing, organizations, reported amounts, and bill references do not establish influence, coordination, motive, wrongdoing, or causation.
Show all 62 matched source records