This document discusses how machines and automation will impact jobs and employment. It introduces the concepts of necessary trusted service level (NTSL) and levels of automation (LOA) to analyze which job tasks can be automated and which require human skills. The model presented argues that jobs of the future will rely on man-machine collaboration, with machines handling routine tasks and data processing while humans focus on skills like creativity, social interaction and contextual thinking. The document provides examples of companies adopting this approach and outlines a five step process for organizations to develop strategies balancing technological progress with meaningful employment.

1. MMCMAN MACHINE COLLABORATION

2. and I still have a job…Hi, I’m Jo Caudron
I will talk about
IF MACHINES WILL TAKE OUR JOBS
WHY MACHINES WILL TAKE OUR JOBS
HOW WE CAN MANAGE THIS

3. Hi, I’m Jo Caudron
Active in digital since 1993
Internet entrepreneur involved
in 20+ start-ups.
Founding Partner of
Duval Union Consulting
@jcaudron
jo@duvalunion.com
We are business consultants,
helping our clients
understand the impact of digital
to create transformational
strategies
and build future proof
organizations.

4. Sold in +50
countries!

5. DIGITAL DOES DISRUPT

6. 1995+
Music
Photography
Video Rental
…
2005+
Print Media
TV
Travel
HR
…
2015+
Retail
Banking/Insurance
Healthcare
Automotive
Logistics & Transportation
Education
Telco
Food & FMCG
…
2025
All Safe
havens will be
subject to
digital
disruption
…
The Waves of Disruption

8. THE WORLD IS CHANGING…FAST
ARE YOU CHANGING WITH IT?

9. PARADOX
TRANSFORMATION

10. SCAN
INNOVATIONS
DETERMINE
IMPACT
NORTH STAR
VISION &
STRATEGY
BUILD
ROADMAP
INSTALL
DIGITAL
LEADERSHIP
BUILD DIGITAL
ORGANISATION
We have developed an effective
methodology to help our clients understand
disruption and create their own
transformational strategy, roadmap,
governance and organization.
It has been successfully applied with dozens
of our clients in banking, retail, media, food,
education, …
But…

11. The more successful we are in
fixing digital disruption for
businesses…
The digital transformation paradox
the more likely we introduce
tech that will disrupt
employment…
And by doing that, we are
impacting the very fabric of our
economy and society

12. WHITE COLLARBLUE COLLAR

13. Successful
transformation has an
unwanted effect on
employment
! FOMO leads to
faster adoption
of technologies
1
We need skills
employees
currently don’t
have
2
Many jobs
might simply
disappear
3

14. … of Jobs will disappear in
the next 25 Years, according
to Oxford University
47%but of course, nobody knows for sure…

15. Automation enters the
white collar space fast…

16. QUIZ: WHO IS THE BEST
DOCTOR TODAY?

18. QUIZ: WHO IS THE BEST
DOCTOR TOMORROW?

20. MMCMAN MACHINE COLLABORATION
We need a long term
vision and strategy to
balance an acceleration
in technology with
meaningful
employment.

21. First, let me introduce some concepts
we use in our methodology

22. Automation
Time
Necessary Trusted Service Level

23. The Necessary Trusted Service Level
(NTSL)
The Necessary Trusted Service Level
of a job or task is the level of
service that an organization,
customer or user expects/accepts
from the outcome of a job or task. It
is thereby the sum of the activities
done by a human and a machine to
complete the job or task.
NTSL = FUNCTION + EMOTION

24. Time
0
1
2
3
4
5
Necessary Trusted Service Level
Levels of
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous

25. The Level Of Automation (LOA)
The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 0: no automation, 100%
manual tasks

26. The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 1: Machine usage as a dumb
tool (e.g. text processing, …), mainly
manual tasks
The Level Of Automation (LOA)

27. The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 2: Recommendations (e.g. in
shopping, social media, …) help
human tasks to be faster and more
relevant
The Level Of Automation (LOA)

28. The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 3: Machine adds value to the
prepare work but human tasks are
needed to complete it
The Level Of Automation (LOA)

29. The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 4: work is done mainly by
machine, human tasks are focussed
on validation, guidance and approval
The Level Of Automation (LOA)

30. The Level of Automation is the level
to which a job or task can be
automated. We distinct 5 levels of
automation that are generic for all
tasks. 0 being the least automated
and 5 being the most automated.
LOA 5: 100% automation, our jobs
will be oriented at the pure “human
smarts” to complement machines that
are autonomous
The Level Of Automation (LOA)

31. Lets bring it together in our Man
Machine Collaboration model

32. Time
0
1
2
3
4
5
Necessary Trusted Service Level
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous

33. Time
0
1
2
3
4
5
Necessary Trusted Service Level
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous

34. Time
0
1
2
3
4
5
Necessary Trusted Service Level
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous
Routine tasks
Data crunching,
extraction, Pattern
recognition,
Risky work, …

35. Time
0
1
2
3
4
5
Necessary Trusted Service Level
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous
Routine tasks
Data crunching,
extraction, Pattern
recognition,
Risky work, …

36. Time
0
1
2
3
4
5
Necessary Trusted Service Level
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous
Creativity
Social interaction
Quality Control
Contextualizing data
Visualizing
Physical Actions
Operating a Tool
Routine tasks
Data crunching,
extraction, Pattern
recognition,
Risky work, …

37. Time
0
1
2
3
4
5
Necessary Trusted Service Level
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
HUMANASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
MACHINEASSETS
Automation
Manual tasks
Dumb tool
Recommendations
Preparation
Validation
100% autonomous
Smart
Interfaces

38. Starsky Robotics is developing
autonomous truck solutions where
human drivers can take remote
control whenever necessary.
This allows them to put this
technology must faster in the
market than when they should
have waited for a 100% safe
autonomous solution (NTSL)
An example
MAN CAPABILITIES
TOTAL CAPABILITIES TO REACH
NECESSARY TRUSTED SERVICE LEVEL (NTSL)
MACHINE
CAPABILITIES
They are not just hiring techies,
but also truck drivers!
+

39. +
Starship Technologies, the
company leading the delivery
industry revolution with fleets of
friendly sidewalk robots is looking
for a Robot Handler
An example
MAN CAPABILITIES
TOTAL CAPABILITIES TO REACH
NECESSARY TRUSTED SERVICE LEVEL (NTSL)
MACHINE
CAPABILITIES

40. +
Exoskeletons will help nurses to
carry weights way beyond their
own capabilities, allowing them to
focus and what really matters:
helping patients.
An example
MAN CAPABILITIES
TOTAL CAPABILITIES TO REACH
NECESSARY TRUSTED SERVICE LEVEL (NTSL)
MACHINE
CAPABILITIES

41. IMAGINE A
(FASHION) STORE
CASH REGISTER Greeting Payment Packaging ByeScanning
RACKS
Intake new
goods
Showcase
products
Labelling Folding Filling
HELPING Style advice
Fitting
assistance
Small talk
Retrieving
goods
Customizing

42. IMAGINE A
(FASHION) STORE
CASH REGISTER Greeting Payment Packaging ByeScanning
RACKS
Intake new
goods
Showcase
products
Labelling Folding Filling
HELPING Style advice
Fitting
assistance
Small talk
Retrieving
goods
Customizing
Automation ready

43. IMAGINE A
(FASHION) STORE
CASH REGISTER Greeting Payment Packaging ByeScanning
RACKS
Intake new
goods
Showcase
products
Labelling Folding Filling
HELPING Style advice
Fitting
assistance
Small talk
Retrieving
goods
Customizing
Automation ready
Human assets required

44. IMAGINE A
(FASHION) STORE
CASH REGISTER Greeting Payment Packaging ByeScanning
RACKS
Intake new
goods
Showcase
products
Labelling Folding Filling
HELPING Style advice
Fitting
assistance
Small talk
Retrieving
goods
Customizing
Automation ready
Human assets required
Automated
save costs
invest in improving the NTSL

45. 5 steps to go from
theory to practice

46. 1. CREATE A DIGITAL
TRANSFORMATION STRATEGY
SCAN
INNOVATIONS
DETERMINE
IMPACT
NORTH STAR
VISION &
STRATEGY
BUILD
ROADMAP
INSTALL
DIGITAL
LEADERSHIP
BUILD DIGITAL
ORGANISATION

47. Automation
Tim
Necessary Trusted Service Level
2. CREATE AN MMC STRATEGY
What about
TECH?
What about
JOBS?
Raise the NTSL
Cut Costs
OR

48. 3. PREDICT (FUTURE) TECHNOLOGY

49. 4. PREDICT (FUTURE) EMPLOYMENT

50. 5. CREATE A 3-5-7 MMC AGENDA
Plan for tech
development
and roll-out
Plan for
education,
training,
coaching, hiring,
interfaces, …

51. BUSINESS
STRATEGY
READINESS SURVEY
ASSESSMENT & RESEARCH
INSPIRATION
IMPACT ANALYSIS
FUTURE SCENARIOS
NORTH STAR VISION
TRANSFORMATION STRATEGY
STAKEHOLDERS & PROBLEMS
IDEATION & PRIORITIES
DIGITAL AGENDA
EXECUTIVE JOURNEY
TREND WATCHING
CONTINUOUSLY SCANNING THE
MARKET FOR NEW TRENDS
BUILDING
THE FUTURE PROOF ORGANISATION
CUSTOMER
EXPERIENCE
Continuously optimise
your journey,
pain points and touch
points
GROWTH
HACKING
Implement smart
techniques
to scale our
business
CHANNEL
HACKING
Reinvent your
channel
relationships for
a digital world
CUSTOMER RELATIONSHIP
SOCIAL
STRATEGY
Make social an
intrinsic part
of the business
INCUBATOR
PROGRAM
Stimulate internal
creativity
and bottom-up
innovation
(hackatons, …)
START-UP
BOOTCAMPS
Think, plan, act like a
start-up and build
the minimum viable
business case
CORPORATE
ACCELERATOR
Drive outside-in
innovation via
collaboration with
startups
BUSINESS (OPERATIONAL) MODELS
DIGITAL
LEADERSHIP
Asses, contain and
develop digital
savviness
DIGITAL
GOVERNANCE
Digital ownerships,
roles, policy, structure
Digital Office, …
MAN/MACHINE
COLLABORATION
Valorise your human
assets,
whilst supporting them
with machines
ORGANISATION

52. FINANCE,
INSURANCE &
SERVICES
RETAIL
PUBLIC & NON-
PROFIT
INDUSTRY &
TECHNOLOGY OTHER
FINANCE, INSURANCE &
SERVICES
PUBLIC & NON PROFIT MEDIA & BRANDS
RETAIL INDUSTRY & TECHNOLOGY OTHER

53. Find my slides on
www.speakersbase.com/jo
Need help? Book me and my team to
consult you!
www.duvalunionconsulting.com
@jcaudron
jo.caudron@duvalunion.com
00 32 475 43 80 98

54. MMCMAN MACHINE COLLABORATION