The Co Collapse of of Inte ntellectua ual P Property Bradford - - PowerPoint PPT Presentation

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The Co Collapse of of Inte ntellectua ual P Property Bradford - - PowerPoint PPT Presentation

The Co Collapse of of Inte ntellectua ual P Property Bradford Rutan, CFA Managing Director MFS Investment Management The views expressed in this presentation are those of the speaker and are subject to change at any time. These views


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FOR INSTITUTIONAL AND INVESTMENT PROFESSIONAL USE ONLY.

Bradford Rutan, CFA Managing Director MFS Investment Management

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The views expressed in this presentation are those of the speaker and are subject to change at any time. These views should not be relied upon as investment advice, as securities recommendations, or as an indication of trading intent on behalf of any other MFS investment product.

The Co Collapse of

  • f

Inte ntellectua ual P Property

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Dispersion of equity returns – normal?

106. 106.6%

  • 55.

55.1%

  • 100%
  • 50%

0% 50% 100% 150% 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Cum umula ulativ ive r e ret etur urn %

Cumulative return

Positive Earnings Negative Earnings

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Source: Compustat earnings per share (EPS) data from December 2006 – December 2016 for the S&P 500. Each portfolio of positive and negative earnings companies is rebalanced monthly and market cap weighted. Data labels are cumulative returns as of 31st December 2016.

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Dispersion of equity returns – abnormal?

92. 92.0% 98. 98.3%

  • 20%

0% 20% 40% 60% 80% 100% 120% 2012 2013 2014 2015 2016 Cum umula ulativ ive r e ret etur urn %

Cumulative return

Positive Earnings Negative Earnings

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Source: Compustat earnings per share (EPS) data from December 2011 – December 2016 for the S&P 500. Each portfolio of positive and negative earnings companies is rebalanced monthly and market cap weighted. Data labels are cumulative returns as of 31st December 2016.

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Dispersion of equity returns

Source: Compustat earnings per share (EPS) data from December 2016 – December 2017 for the S&P 500. Each portfolio of positive and negative earnings companies is rebalanced monthly and market cap weighted. Data labels are cumulative returns as of 31st December 2017.

  • 10%
  • 5%

0% 5% 10% 15% 20% 25% 2017 Cum umula ulativ ive r e ret etur urn %

Cumul mulative r ret eturn rn

Positive Earnings Negative Earnings

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23.2%

  • 0.7%
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  • Major disruption occurring in the global economy
  • What industries will be affected?
  • Who could the winners and losers be?
  • Why stock selection will become mission critical?

Agenda

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6 50 100 150 200 250 300 350

Advertising spend ($B)

Online Traditional 20 40 60 80 100 120 140 160 180 200

  • Avg. daily worldwide consumption

(minutes)

Internet TV

Disruption in major profit pools

Advertising – Time spent vs. money spent

Source: (LHS) Statista via Zenith/Recode. (RHS)Magna Global, Goldman Sachs Global Investment Research, Jan. 16, 2017. Latest data available

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0% 0% 1% 2% 3% 4% 5% 6% 7% 9% 11% 12% 14% 16% 18%

0% 2% 4% 6% 8% 10% 12% 14% 16% 18% 20% 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016e FB & GOOG growing share of ad spending FB & GOOG as % of global ad revenue

10% 8% 15% 18% 25% 24% 53% 45% 53% 54% 59% 60%

0% 10% 20% 30% 40% 50% 60% 70% 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016e FB & GOOG have 60% share of all incremental ad spending globally Change in FB & GOOG ad revenue as % of change in global ad revenue

Disruption in major profit pools

Advertising – who might win/lose with this shift?

Source: Credit Suisse, Zenith Optimedia Note Facebook data available from 2010. As-of 9/30/2017 The companies referenced are used for informational purposes only, and do not necessarily represent holdings in any MFS portfolio.

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Disruption in major profit pools

Media

Source: flickr public domain

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9 $194 $325 $463 $1,072 $0 $400 $800 $1,200 $1,600 2014 2015 2016 2019e Global eSports Revenue $millions

+67% YoY +43% YoY +16% CAGR 2014-19

58 74 90 115 131 180 50 100 150 200 2012 2013 2014 2015 2016 2019e Global eSports Monthly Viewers in millions

Disruption in major profit pools

Media - the rise of eGaming

Source for top chart: Kleiner Perkins May 2017 /bNewzoo Global eSports Market Report (2/17), Newzoo press release (1/16), Newzoo Casual Connect Europe Presentation (2/15) Source for bottom chart: Newzoo 2016 Global eSports Market Report

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Source: L2 Gartner

Disruption in major profit pools

The house where it all began

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Amazon has 75 fulfillment centers in the US…one located within 20 miles of half of US population Largest distribution center has 2.4m of total usable square footage…which is about ½ the size of Magic Kingdom They have 110m square feet of warehouses…which equals the total area of all 750 Costco stores put together

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Disruption in major profit pools

Retail - Warehouses are the new black….

Source: L2 Gartner, Baltimore Business Journal, eMarketer, Curbed, MVPVL. Latest data available The companies referenced are used for informational purposes only, and do not necessarily represent holdings in any MFS portfolio

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Source: ICSC September 2015 (latest data available).

Country Shopping Center GLA (sq ft) Population (millions) GLA per capita U.S. 7,527 319 24 Canada 542 36 15 U.K. 318 64 5 France 264 64 4 Italy 171 60 3 Spain 142 46 3 Germany 195 80 2

Disruption in major profit pools

Brick and mortar retailing

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123%

  • 6%
  • 6%
  • 4%
  • 3%
  • 20%

0% 20% 40% 60% 80% 100% 120% 140% Amazon JC Penney Macy's Target Kohl's

Cumulative Sales Growth 2012-2016

Disruption in major profit pools

Retail - How do you stay alive when sales are headed south?

Source: Factset. The companies referenced are used for informational purposes only, and do not necessarily represent holdings in any MFS portfolio

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1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

US Retail Store Closures

8640 6163

Disruption in major profit pools

Retail - All-time high in store closures

Source: Credit Suisse

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  • 10%
  • 8%
  • 6%
  • 4%
  • 2%

0% 2% 4% Dental supplies Rx drugs Sporting goods Grocery

Impact on stock price in 1st 24 hours following Amazon announcement

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Disruption in major profit pools

Groceries, drugs, etc.– The Amazon effect

Source: L2 Gartner analysis of Yahoo Finance data. 1/4/18

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Disruption in major profit pools

Consumer brands example - batteries

Duracell Amazon Basics Percent of ratings 4/5 stars (total #) 77% (1040) 86% (13041) Conversion rate 10.2% 17.7% Price per battery 65 cents 24 cents Percent of online sales 21% 31% Marketing budget 1 $50.6m $0

Comparison of AAA batteries bought on amazon.com

Sources: Amazon.com, L2 Gartner, 1010Data. Latest data available

1 Marketing budget for Duracell 5 year average per Statista. Latest data available

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Disruption in major profit pools

The IT stack: compute, storage, service $37 $46 $57 $67 $82 $99 $117 $138 $162

20 40 60 80 100 120 140 160 180 2012 2013 2014 2015 2016 2017 2018 2019 2020

Worldwide spending on public cloud computing ($B)

Source: IDC Whitepaper, September 2016. Data after 2016 is estimates.

  • Avg. growth rate of cloud spend = 19%
  • Avg. growth rate of overall IT spend = 3%
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Disruption - artificial intelligence

Artificial intelligence is the new electricity"

Electricity

Refrigeration Agriculture Manufacturing Transportation

Artificial Intelligence Automotive Education Finance Health Care

19th & 20th centuries 21st century

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Disruption - artificial intelligence

Artificial intelligence improving health care diagnoses

3.5% 2.9% 0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% Study pathologist AI model AI model + Study pathologist

Breast cancer diagnosis error rates

Source: (RHS) NVIDIA article from September 2016 on error rates achieved in 2016 Camelyon Grand Challenge. (LHS) ImageNet and Bernstein analysis. 28.2% 25.8% 16.4% 11.7% 7.3% 3.6% 3.1% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 2010 2011 2012 2013 2014 2015 2016

Machine ImageNet Classification Error Rate

Human error, 5.1%

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29023.30

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Source: NVIDIA

1 number of companies buying artificial intelligence processors from NVIDIA as reported by NVIDIA

Automotive

  • Autonomous vehicles
  • Driver-assist safety features

Health Care

  • Medical diagnostics
  • Drug development

Defense

  • Surrogate operators for combat
  • Flight simulation for training

Finance

  • Fraud detection
  • Personal finance

Manufacturing

  • Robotics and automation
  • Predictive maintenance

Communications

  • Speech, face and handwriting recognition
  • Natural language processing

100 1,549 3,409 19,662 5,000 10,000 15,000 20,000 25,000 2013 2014 2015 2016

# of companies investing in artificial intelligence1 Applications of AI include:

Disruption - artificial intelligence

Breadth and depth of companies investing in AI is exploding

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"If you don't like change…you will like irrelevance even less."

  • General Eric Shinseki

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THANK YOU

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