My obsidian-deck cannot be the solution, way off my attitude:
Total: ≈ 80.7 trillion emails
Total: ≈ 1.08 billion meeting notes
Based on workforce composition, industry communication norms, and studies like the Radicati Group's Email Statistics Report, here's an estimated annual volume of emails and meeting noteBased on workforce
composition, industry communication norms, and studies like the Radicati Group's Email Statistics Report, here's an estimated annual
volume of emails and meeting notes for each company, prioritized by
knowledge-worker density and global operations.
Assumptions:
- Emails: Office workers send/receive ~150 emails/day (75% internal); factory/logistics staff average ~20/day.
- Meeting Notes: Knowledge workers generate ~2 notes/day (avg. 500 words); non-office staff: ~0.2/day.
- Activity adjusted for 65% email/note participation rate (accounts for part-time/vacation).
Estimated Annual Documentation Volume
- Emails: Office workers send/receive ~150 emails/day (75% internal); factory/logistics staff average ~20/day.
- Meeting Notes: Knowledge workers generate ~2 notes/day (avg. 500 words); non-office staff: ~0.2/day.
- Activity adjusted for 65% email/note participation rate (accounts for part-time/vacation).
Estimated Annual Documentation Volume
(Sorted by Highest Digital Output)
| Company | Office Workers| Emails/Year| Meeting Notes/Year |
|-----------------------------|-----------------|--------------|---------------------|
| **Accenture** | ~710,000 | 17.1 trillion | 228 million |
| **Amazon** | ~1,000,000 | 16.9 trillion | 225 million |
| **UnitedHealth Group** | ~500,000 | 8.4 trillion | 112 million |
| **JD.com** | ~450,000 | 7.6 trillion | 101 million |
| **Samsung** | ~200,000 | 3.4 trillion | 45 million |
| **FedEx** | ~400,000 | 3.3 trillion | 44 million |
| **UPS** | ~380,000 | 3.1 trillion | 41 million |
| **Sodexo** | ~350,000 | 2.9 trillion | 39 million |
| **Walmart** | ~600,000 | 2.7 trillion | 36 million |
| **State Grid (China)** | ~700,000 | 2.5 trillion | 33 million |
| **CNPC** | ~750,000 | 2.3 trillion | 31 million |
| **Volkswagen** | ~400,000 | 2.1 trillion | 28 million |
| **Foxconn** | ~300,000 | 1.8 trillion | 24 million |
| **BYD** | ~250,000 | 1.5 trillion | 20 million |
| **Sinopec** | ~350,000 | 1.4 trillion | 19 million |
| **Home Depot** | ~300,000 | 1.3 trillion | 17 million |
| **Target** | ~300,000 | 1.2 trillion | 16 million |
| **Saudi Aramco** | ~70,000 | 0.5 trillion | 7 million |
| **China Post** | ~250,000 | 0.4 trillion | 5 million |
| **U.S. Postal Service** | ~150,000 | 0.3 trillion | 4 million |
| Company | Office Workers| Emails/Year| Meeting Notes/Year |
|-----------------------------|-----------------|--------------|---------------------|
| **Accenture** | ~710,000 | 17.1 trillion | 228 million |
| **Amazon** | ~1,000,000 | 16.9 trillion | 225 million |
| **UnitedHealth Group** | ~500,000 | 8.4 trillion | 112 million |
| **JD.com** | ~450,000 | 7.6 trillion | 101 million |
| **Samsung** | ~200,000 | 3.4 trillion | 45 million |
| **FedEx** | ~400,000 | 3.3 trillion | 44 million |
| **UPS** | ~380,000 | 3.1 trillion | 41 million |
| **Sodexo** | ~350,000 | 2.9 trillion | 39 million |
| **Walmart** | ~600,000 | 2.7 trillion | 36 million |
| **State Grid (China)** | ~700,000 | 2.5 trillion | 33 million |
| **CNPC** | ~750,000 | 2.3 trillion | 31 million |
| **Volkswagen** | ~400,000 | 2.1 trillion | 28 million |
| **Foxconn** | ~300,000 | 1.8 trillion | 24 million |
| **BYD** | ~250,000 | 1.5 trillion | 20 million |
| **Sinopec** | ~350,000 | 1.4 trillion | 19 million |
| **Home Depot** | ~300,000 | 1.3 trillion | 17 million |
| **Target** | ~300,000 | 1.2 trillion | 16 million |
| **Saudi Aramco** | ~70,000 | 0.5 trillion | 7 million |
| **China Post** | ~250,000 | 0.4 trillion | 5 million |
| **U.S. Postal Service** | ~150,000 | 0.3 trillion | 4 million |
Key Insights
1. Tech/Consulting Dominance:
- Accenture and Amazon lead in digital output due to near-total knowledge-worker staff.
- Example: Amazon’s 1M office workers generate ~46M emails/hour during workdays.
2. Labor-Intensive Industries:
- Foxconn and BYD have lower email volumes despite large workforces (factory labor >60%).
- USPS/China Post lag due to field staff in delivery roles.
3. Meeting Notes ≠ Emails:
- Meeting notes are 100–200x scarcer than emails, as only ~15% of meetings generate formal documentation.
- Exception: Regulated sectors (e.g., UnitedHealth) document rigorously for compliance.
4. Global Scaling Effect:
- Companies like Sodexo (53 countries) see inflated volumes from cross-time-zone coordination.
Methodology Notes
- Sources: [Radicati Group](https://www.radicati.com/), [Forrester Workforce Surveys](https://www.forrester.com/), internal benchmarks from enterprise SaaS firms.
- Email volume = `(Office workers × 150 × 230 workdays) + (Non-office × 20 × 230)` × 65% activity rate.
- Meeting notes = `Office workers × 2 × 230 × 65%`.
- Estimates exclude spam, automated alerts, and ephemeral messaging (Slack/Teams).
Let me know if you’d like a breakdown for a specific company! for each company, prioritized by knowledge-worker density and global operations.
1. Tech/Consulting Dominance:
- Accenture and Amazon lead in digital output due to near-total knowledge-worker staff.
- Example: Amazon’s 1M office workers generate ~46M emails/hour during workdays.
2. Labor-Intensive Industries:
- Foxconn and BYD have lower email volumes despite large workforces (factory labor >60%).
- USPS/China Post lag due to field staff in delivery roles.
3. Meeting Notes ≠ Emails:
- Meeting notes are 100–200x scarcer than emails, as only ~15% of meetings generate formal documentation.
- Exception: Regulated sectors (e.g., UnitedHealth) document rigorously for compliance.
4. Global Scaling Effect:
- Companies like Sodexo (53 countries) see inflated volumes from cross-time-zone coordination.
Methodology Notes
- Sources: [Radicati Group](https://www.radicati.com/), [Forrester Workforce Surveys](https://www.forrester.com/), internal benchmarks from enterprise SaaS firms.
- Email volume = `(Office workers × 150 × 230 workdays) + (Non-office × 20 × 230)` × 65% activity rate.
- Meeting notes = `Office workers × 2 × 230 × 65%`.
- Estimates exclude spam, automated alerts, and ephemeral messaging (Slack/Teams).
Let me know if you’d like a breakdown for a specific company! for each company, prioritized by knowledge-worker density and global operations.
Do you know what I mean??
#cyberpunkcoltoure
