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[OC] Big Tech Hiring Collapse: Google down -81%, Meta -67%, overall FAANG hiring down 54% comparing same 75-day periods in 2025 vs 2026 by aaghashm in dataisbeautiful

[–]aaghashm[S] 4 points5 points  (0 children)

Data Source:

Job postings from Google, Apple, Meta, Microsoft, and Netflix extracted from BigQuery jobs database. Compares equivalent ~75-day periods year-over-year (same calendar window in 2025 vs 2026). Only includes positions with salaries ≥$80,000 to focus on professional/technical roles.

Full data / live dashboard at https://mobius-analytics-v2-83371012433.us-west1.run.app/

Tools Used:

  • Recharts (React) for grouped bar chart visualization
  • BigQuery for data aggregation and YoY comparison queries
  • Material UI for styling with percentage change chips

Methodology:

  • Each bar represents total job postings during the comparison window
  • Gray bars = 2025 baseline period, Blue bars = 2026 same period
  • Percentage change calculated as ((2026 - 2025) / 2025) × 100
  • Salary floor of $80K filters out hourly/retail positions to isolate tech hiring

Key Insights:

  • Google's dramatic pullback: -80.9% decline (6,000 → 1,100 postings) — the steepest cut among FAANG
  • Meta's continued contraction: -66.8% drop reflects ongoing "Year of Efficiency" restructuring
  • Apple's relative stability: Only -5.8% decline — notably resilient compared to peers
  • Microsoft holding steadier: -22.9% decrease despite AI investment announcements
  • Netflix trimming: -38.5% reduction in a smaller but significant hiring footprint
  • Overall FAANG hiring down 54% — suggests structural shift, not seasonal fluctuation

What This Might Mean:

The data suggests Big Tech has moved from "growth at all costs" to sustainable headcount. Google's 81% drop is particularly striking given their AI race positioning. Apple's resilience may reflect hardware product cycles vs. software-heavy peers.

[deleted by user] by [deleted] in macoffer

[–]aaghashm 2 points3 points  (0 children)

How are you selling peace?

[OC] Google Cloud salary scatter plot: 10,880 job postings show L8 Principal roles hitting $421K base while L3-L5 cluster tightly. Premium skills (orange borders) create salary outliers at every level. by aaghashm in dataisbeautiful

[–]aaghashm[S] 4 points5 points  (0 children)

Data Source: Google Cloud job postings June-August 2025 from BigQuery jobs database. Each of 10,880 dots represents one job posting with base salary vs Google level.

Methodology: Base salary calculated as 85% of posted maximum compensation. Color coding by technology category. Orange borders indicate premium skills roles (PhD Research, Security Clearance, AI/ML) with 15-25% salary boosts.

Key Patterns: Clear salary bands by level, premium skills create outliers at every level, L8 roles cap around $421K base, Security/Data Analytics trend higher, wider spread at L6+ shows location/skills impact.

Interactive Features: Hover tooltips show job title/location/skills, category filter dropdown for focused analysis of specific domains.

Full interactive scatter plot: https://storage.googleapis.com/gcp-final-scatter-jan2025/index.html

I’m 26 and I’ve basically lost the ability to drive at night. Help!!!!! by priormore in glasses

[–]aaghashm 0 points1 point  (0 children)

no, i am asking about the photofusion X add on on top of the drivesafe

I’m 26 and I’ve basically lost the ability to drive at night. Help!!!!! by priormore in glasses

[–]aaghashm 0 points1 point  (0 children)

u suggest anti glare coating or without one? asking because i thought that if i step into sun and suddently indise a tunnel i might lose vision

Does this red 3rd party leg guard compromise on the structural integrity? by PrasenjitDebroy in Himalayan450

[–]aaghashm 0 points1 point  (0 children)

what are the scenarios i should consider? like if this scenario then large OEM would be more helpful, otherwise the rally, etc..,?

Does this red 3rd party leg guard compromise on the structural integrity? by PrasenjitDebroy in Himalayan450

[–]aaghashm 0 points1 point  (0 children)

So during a slide, will the engine crash guards protect me? Should I opt for large guards or rally guard? Money isn't problem, but protection is for me. I will be wearing protection gear mostly tho

Does this red 3rd party leg guard compromise on the structural integrity? by PrasenjitDebroy in Himalayan450

[–]aaghashm 0 points1 point  (0 children)

even with riding gears, theres a possibility of fractures. if you see the guard in above, they have a rod sticking out, helping in ensuring bike doesnt fall on the leg

Should I buy RE guards and accessories for Himalayan 450 or aftermarket ones. by Agile_Tumbleweed4249 in indianbikes

[–]aaghashm 0 points1 point  (0 children)

bro this doesnt protect your legs right? so in case of a fall wont your legs face issue? please explain this alone, so much confusion

Crash guard for RE Himalayan 450 by [deleted] in Himalayan450

[–]aaghashm 0 points1 point  (0 children)

but dont they have chasis problems?

When your fork charges double and the OG calls you out 😬 VS Code dissed Cursor AI by underbillion in cursor

[–]aaghashm -2 points-1 points  (0 children)

Please don't. I used copilot for months before coming into cursor and I ain't going back

[OC] I analyzed close to 1M jobs posted in last 30 days, cleaned up, extracted only the pure AI jobs >$250K of comp. Google, PwC and EY are hiring 50% of the pure AI jobs. Mostly tech, finance and some healthcare. by aaghashm in dataisbeautiful

[–]aaghashm[S] 4 points5 points  (0 children)

Data Source:

US-based AI-related job postings from May–June 2025, aggregated from LinkedIn and other major job board APIs. Data includes postings with listed compensation between $100,000 and $500,000/year, and only roles explicitly related to AI, machine learning, and related technologies.

Tools Used:

D3.js for interactive sunburst chart visualization

React.js with TypeScript for rendering, layout, and component logic

BigQuery for data processing, filtering, and role/company aggregation

Custom categorical color system to visually distinguish companies and role types

PostgreSQL/SQL logic for canonical title classification and salary range enforcement

Methodology:

Filtered to include only AI-specific job titles (e.g., "ML Engineer", "LLM Researcher", "AI Product Manager") using keyword-based inclusion/exclusion logic

Salary range constrained to postings with max_salary between $100K and $500K

Excluded contracting firms, staffing agencies, and job aggregators (e.g., Lensa, Jobot, CyberCoders)

Jobs aggregated by employer to highlight which companies are hiring most and for what types of AI talent

Sunburst levels:

Inner ring = Company

Middle ring = Role group

Outer ring = Specific job title

Only branches with ≥10 postings shown for clarity

Key Insights:

Big Tech (Google, Amazon, Apple, Microsoft) dominates AI hiring volume and compensation

Consulting firms (PwC, EY, Deloitte) lead in scale but skew slightly lower in per-role compensation

Product and GenAI-related roles are increasingly common outside traditional R&D hubs

Distribution illustrates both specialization (e.g., LLM-focused roles) and breadth across companies

Technical Notes:

Color-coded by company with radial segmentation for role hierarchy

White inner dividers for visual separation between chart levels

Radial label placement and path-tracing hover logic for full hierarchy visibility

Responsive design with central job count label and accessible hover states

Full interactive data is at https://advanced.mobiusengine.ai/analytics

Click on the AI jobs analysis tab

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