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OECD AI : perspectives and opportunities October 2017

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Page 1: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

OECD AI : perspectives and opportunities

October 2017

Page 2: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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2 McKinsey & Company

AI is the new electricity Andrew Ng

4 McKinsey & Company

Page 3: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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Machines can now match and even exceed human performance

Image recognition accuracy rate

5 McKinsey & Company

Present 2010

70%

80%

90%

100%

Human performance

Machine performance

Page 4: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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4 McKinsey & Company

We’re already seeing examples of AI having serious business impact

6 McKinsey & Company

$1B revenues from

prevented churn

75% reduction in

click-to-ship time

Page 5: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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5 McKinsey & Company

Adoption at scale is limited, even amongst AI-aware firms

20% early adopters

Percent

40 Contemplators

40

Experimenters

7 3 10

3+ technologies

2 technologies

1 technology

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Sectors leading in AI adoption today look set to pull

away further from slower adopters

Current AI adoption Percent of firms who are early adopters

Slower adopters

Frontier sectors

5

0

10

15

25 30 10 20 15

Future AI demand Percent ∆ AI spending 2017-20

Automotive

Tech and

telco

Finance

Construction

CPG

Transport

Retail

Media

Healthcare

Energy

Education

Professional

services

Travel

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Digitally mature industries lead in AI adoption

AI Index

Digitization Transformation Index 80

40

20

100

0 60

60

40

80

Travel

Construction

Finance

Retail

Tech

and telco

Transport

Health

care

Media

Professional services

Energy

Education

15 McKinsey & Company

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The early adopters of AI have five distinctive characteristics

16 McKinsey & Company

2. Larger businesses

1. Digitally mature

5. C-suite level support for AI

3. Adopt AI in core activities

4. Focus on growth over savings

Page 9: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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AI can deliver real impact for businesses

10% potential reduction in electricity

generation costs

30% faster production time for an

advanced industries manufacturer

>10% potential savings on global health

care expenditure

30% online sales increase for a retailer Retail

Manufacturing

Electricity

Health care

Page 10: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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AI will bring the automation of tasks, rather than the automation of jobs

40% of current work could

be automated 10% of jobs involve tasks that

are >90% automatable But less than

Page 11: OECD AI : perspectives and opportunities...Future AI demand Percent ∆ AI spending 2017-20 Automotive Tech and telco Finance Construction CPG Transport Retail ... C-suite level support

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Techniques and tools

Open organization

Workflow integration

Data ecosystem

Use cases/ sources of

value

20 McKinsey & Company

There are five pragmatic steps you can take to start adopting AI in your businesses tomorrow

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Valerio Dilda

Partner, Paris

[email protected]