The future of work and artisanal cheese

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"When robots can do every job better than humans, what's left for us?" Robots promise to make perfect products, drive perfectly well, cook perfect meals. In our future, perfection will be commonplace, imperfection rare. What will be rare will be the human-made, the artisanal. Does our post-work future lie in making artisanal cheese? If it does, who will eat it all?

Business

Artisanal Cheese
and the Future of Work
azeem.azhar@exponentialview.co
@azeem

www.exponentialview.co
Gaspard Clair Français Marie-Riche de Prony
1791
Task: Mapping France
after the revolution

www.exponentialview.co
Gaspard Clair Français Marie-Riche de Prony
1791
Task: Mapping France
after the revolution
Approach: Hire human
computers and store data
in cache

www.exponentialview.co
Computers can catch up with
‘human abilities’

www.exponentialview.co
Computers can catch up with
‘human abilities’
AI system LipNet
93.4% of words correctly
Human lip-readers
52.3% of words correctly

www.exponentialview.co
Computers can catch up with
‘human abilities’
Microsoft speech recognition
error rates 5.8%
Human speech recognition
error rates 5.9%

www.exponentialview.co
Computers can catch up with
‘human abilities’
Sketch-a-Net identified type of bird in sketches
42.5% of the time
Humans identified type of bird in sketches
24.8% of the time

www.exponentialview.co
Predictions of current automation
47% of US jobs are at 'high risk' of automation
in the next 1-2 decades
Frey and Osborne, 2013
Typists, personal assistants, bank and post
office clerks, assemblers are between 85-99%
probability of automation;
there is 1% probability nurses, teachers,
educators will be replaced.
Deloitte, The Impact of
Technology on Jobs in
the UK, 2013
35% of UK jobs are at 'high risk' of automation
in the next 1-2 decades
Deloitte, The Future of
Work, 2017

www.exponentialview.co
Does automation kill jobs?

www.exponentialview.co
The ATM (didn’t) steal my job

www.exponentialview.co
The Lump of Labour Fallacy

www.exponentialview.co
But the picture is mixed

www.exponentialview.co
Labour market shifts
In areas exposed to industrial robots both employment
and wages decline in robust and significant manner
[between 1990 and 2007]
One more robot per thousand workers reduces
aggregate employment to population ratio by about
0.34 percentage points
Acemoglu and Restreppo, 2017

www.exponentialview.co
Employees to support $5bn in revenues
0
1
3
4
5
6
Blockbuster (1) Blockbuster (2) Netflix
90k 59k
2k

www.exponentialview.co
The dematerialising company
0
7.5
15
22.5
30
GM (1979) Microsoft (2015) Facebook (2015)
Rev/employee Mktcap/employee

www.exponentialview.co
A world where computers can do everything better

www.exponentialview.co
Automated perfection will be common place, human
imperfection will be relatively scarcer

www.exponentialview.co
The human-made will be valuable because it is rare

www.exponentialview.co
🧀 🔮 🙌
@azeem
azeem.azhar@exponentialview.co
www.exponentialview.co

www.exponentialview.co
Mass production of perfect

www.exponentialview.co
But is there enough for an artisan economy?
🙋🧀
🧀
Perfect Human
No Yes
Yes No
Experiential, discretionary,
intimate
High risk, reliable,
repetitive
🧀 🧀🧀♂️
👬 🌴
💉 👮🧀
✈️ 📚

www.exponentialview.co
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PM Surya Ghar Muft Bijli Yojana: Online Application, Eligibility, Subsidies &...

Ksquare Energy Pvt. Ltd.

During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?

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The future of work and artisanal cheese

1. Artisanal Cheese and the Future of Work azeem.azhar@exponentialview.co @azeem

2. www.exponentialview.co Gaspard Clair Français Marie-Riche de Prony 1791 Task: Mapping France after the revolution

3. www.exponentialview.co Gaspard Clair Français Marie-Riche de Prony 1791 Task: Mapping France after the revolution Approach: Hire human computers and store data in cache

4. www.exponentialview.co Tables de Prony

5. www.exponentialview.co

6. www.exponentialview.co Computers can catch up with ‘human abilities’

7. www.exponentialview.co Computers can catch up with ‘human abilities’ AI system LipNet 93.4% of words correctly Human lip-readers 52.3% of words correctly

8. www.exponentialview.co Computers can catch up with ‘human abilities’ Microsoft speech recognition error rates 5.8% Human speech recognition error rates 5.9%

9. www.exponentialview.co Computers can catch up with ‘human abilities’ Sketch-a-Net identified type of bird in sketches 42.5% of the time Humans identified type of bird in sketches 24.8% of the time

10. www.exponentialview.co Predictions of current automation 47% of US jobs are at 'high risk' of automation in the next 1-2 decades Frey and Osborne, 2013 Typists, personal assistants, bank and post office clerks, assemblers are between 85-99% probability of automation; there is 1% probability nurses, teachers, educators will be replaced. Deloitte, The Impact of Technology on Jobs in the UK, 2013 35% of UK jobs are at 'high risk' of automation in the next 1-2 decades Deloitte, The Future of Work, 2017

11. www.exponentialview.co Does automation kill jobs?

12. www.exponentialview.co The ATM (didn’t) steal my job

13. www.exponentialview.co The Lump of Labour Fallacy

14. www.exponentialview.co But the picture is mixed

15. www.exponentialview.co Labour market shifts In areas exposed to industrial robots both employment and wages decline in robust and significant manner [between 1990 and 2007] One more robot per thousand workers reduces aggregate employment to population ratio by about 0.34 percentage points Acemoglu and Restreppo, 2017

16. www.exponentialview.co Employees to support $5bn in revenues 0 1 3 4 5 6 Blockbuster (1) Blockbuster (2) Netflix 90k 59k 2k

17. www.exponentialview.co The dematerialising company 0 7.5 15 22.5 30 GM (1979) Microsoft (2015) Facebook (2015) Rev/employee Mktcap/employee

18. www.exponentialview.co XKCD Comics

19. www.exponentialview.co

20. www.exponentialview.co A world where computers can do everything better

21. www.exponentialview.co Automated perfection will be common place, human imperfection will be relatively scarcer

22. www.exponentialview.co The human-made will be valuable because it is rare

23. www.exponentialview.co The Lump of Labour Fallacy

24. www.exponentialview.co 🧀 🔮 🙌

25. www.exponentialview.co 🧀 🔮 🙌 @azeem azeem.azhar@exponentialview.co www.exponentialview.co

26. www.exponentialview.co Mass production of perfect

27. www.exponentialview.co

28. www.exponentialview.co But is there enough for an artisan economy? 🙋🧀 🧀 Perfect Human No Yes Yes No Experiential, discretionary, intimate High risk, reliable, repetitive 🧀 🧀🧀♂️ 👬 🌴 💉 👮🧀 ✈️ 📚

29. www.exponentialview.co The Lump of Labour Fallacy

30. www.exponentialview.co 🧀 🔮 🙌

31. www.exponentialview.co 🧀 🔮 🙌 @azeem azeem.azhar@exponentialview.co www.exponentialview.co

32. www.exponentialview.co Mass production of perfect

33. www.exponentialview.co

34. www.exponentialview.co de Prony’s cheese makers?

35. www.exponentialview.co 🧀 🔮 🙌 @azeem azeem.azhar@exponentialview.co www.exponentialview.co