Presentation by David Wood of London Futurists at COMIT 2016: Digitally Building Britain, September 2016
More information: http://www.comit.org.uk/liveblog
The acceleration of disruption: opportunities and threats for construction - David Wood (London Futurists) #COMIT2016
1. The acceleration of disruption
David Wood, @dw2
Chair of London Futurists
Principal, Delta Wisdom
Opportunities and threats for construction
2. Robots threaten 15M UK jobs, says Bank of England's chief economist
“Admin, clerical and production
tasks most at threat”
50%
The Guardian@dw2
3. 137M (56% of salaried workforce) from 5 SE Asian countries at high-risk
Cambodia,
Indonesia,
the
Philippines,
Thailand
and
Vietnam
Straits Times@dw2
4. Foxconn factory employees reduced from 110k to 50k, thanks to robots
Kunshan, in Jiangsu province
South China MP@dw2
5. “Computerisation should have little effect on the
percentage of the work force engaged in these tasks…
“Non-routine manual tasks: physical tasks that
cannot be well-described as following a set of If-
Then-Else rules, because they require optical
recognition and fine motion control that have proven
extremely difficult for computers to carry out…”
“Examples include driving a truck…
Frank Levy
MIT
Richard J. Murnane
Harvard
@dw2
6. Completed <5%
of the course
Sandstorm: Winner of 2004 DARPA Grand Challenge
150 miles in
the Mojave
Desert region
of the US
2005 Challenge:
Five vehicles
completed whole
course
@dw2
7. Truck drivers Taxi drivers
Insurance
salespeople
Lots of other professions?
…
Creative professions?
Professions with human insight?
Self-driving flying cars!
@dw2
8. https://anticipating2025.com/preliminary-information/previews/
“What’s interesting in Go is that
there’s been a lot of progress in the
last decade…
“The best Go programs are now at a
stage where they can give a few
stones handicap to a top Go player, a
world-class Go player, and beat him.
“This has happened quite recently -
much to the amazement to the top
Go players.
“I would guess that we are 20 years
away from having a Go program that
can play at a level equivalent to
Kasparov or Carlsen.”
David Levy 1976 Interviewed in Dec 2013
1968 (£1,250) -> 1978 -> 1983 ($1,000) -> 1989 (Deep Thought) -> 1997 (Kasparov)
@dw2
9. AI, Deep Learning
=> Pattern detection
(Artificial Intuition)
2016
AlphaGo 4,
Lee Sedol 1
@dw2
10. The third machine age
1. Machines replaced human muscular effort
– They manipulated energy
– They produced motion
2. Then machines replaced human calculation effort
– They manipulated information (using algorithms)
– They produced numerical results
3. Machines are now replacing human creative effort
– They manipulate “learning data” to reveal cause-effect patterns
– They produce algorithms (using information)
– They progress from a seed algorithm to unexpected new insight
@dw2
11. “A group of young people playing Frisbee”
AI, Deep Learning
=> Computer vision
@dw2
26. 1. Improve your strategic reviews
2. Improve your foresight skills and trend
management
3. Practice agile futurism
4. Practice collaborative futurism
Surviving accelerated disruption:
Four takeaways
@dw2
27. Implications for strategy
Strategy = choice: what you’ll do, and what you’ll not do
Strengths
Weaknesses
Opportunities
Threats
Sources of upside
Sources of downside
Internal
(company)
External
(environment)
Forthcoming
Opportunities
Forthcoming
Threats
Future
(scenarios)
Strategy = preparation: readiness for key changes
SWOT
Increasingly crucial
@dw2
29. Trend management: seeing what’s credible
1. Identifying trends: establish your catalogue of trends
– Technological trends
– Social trends
– Political trends
2. Cultivate sources of insight
– Customer insight
– Competitor insight
– Employee insight
– Research insight
– Futurist insight
3. Build and review scenarios
– Combinations of trends – both disruptive and incremental
– Consider what to put in, and what to leave out (e.g. formerly key DNA!)
=> Decide what’s desirable
Gain insight
in stages
@dw2
30. Inertia (Waterfall)
• Elaborate planning
• Painstaking execution
• Stick to the plan!
• Big Design Up Front
• Executives’ intuition
• Secrecy
• Execute a single scenario
• Typically disappoint market
Agile / Lean
• Experimentation
• Sprints deliver incrementally
• Be ready to pivot!
• Iterative Design
• Customer feedback
• Customer feedback
• Search for insight on scenarios
• Anticipate market delight
(early & often)
26/09/2016 30
@dw2
31. Drawback of non-Agile execution
What the market
would, in the end,
like to have
What the initial plan
estimated the
market would like
Time
in the (non-agile) case
when “the plan is king”
Delivery
Measure of
market
dissatisfaction
Don’t lock into
scenarios too
early
@dw2
32. With Agile development
(and regular customer feedback)
What the market
would, in the end,
like to have
What the initial plan
estimated the
market would like
Time
following agile
(adaptive) planning
Delivery
Measure of
market
delight
Improve your foresight
planning with regular
feedback from wider circle
@dw2
34. 1. Improve your strategic reviews
– Futurist perspectives add a third column to strategy reviews
2. Improve your foresight skills and trend management
– Trend analysis, consider interactions
– Create & assess multiple scenarios
– Identify “canary signals” in advance
3. Practice agile futurism
– Review your trends and scenarios (at least) once each quarter
– Fail fast, fail smart, fail forward – pivot to new experiment
4. Practice collaborative futurism
– Benefit from the positive feedback cycle for foresight
– Prepare for “smart acquisitions” if fast changes make them necessary
Positive
feedback
cycle
Surviving accelerated disruption:
Four takeaways Intelligent sustainable
visionary urgency
@dw2