AI, Autonomous Cars, Drones and More - How tech innovation is transforming the world and generating investment returns Presented by: Brijesh ...
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AI, Autonomous Cars, Drones and More How tech innovation is transforming the world and generating investment returns Presented by: Brijesh Jeevarathnam / Adams Street Partners
Confidentiality Statement and Other Important Considerations This presentation (the “Presentation”) has been provided to the recipient on a confidential and limited basis and for educational purposes only. The recipient agrees not to copy, reproduce or distribute the Presentation, in whole or in part, to any person or party without the prior written consent of Adams Street Partners. This Presentation is not investment advice or an offer or sale of any security or investment product or investment advice. Offerings are made only pursuant to a private offering memorandum containing important information. Statements in this Presentation are made as of the date of this Presentation unless stated otherwise, and there is no implication that the information contained herein is correct as of any time subsequent to such date. Projections or forward looking statements contained in the Presentation are only estimates of future results or events that are based upon assumptions made at the time such projections or statements were developed or made. There can be no assurance that the results set forth in such forward looking statements will be attained. General economic factors, which are not predictable, can have a material impact on the reliability of projections or forward looking statements. 2
Today’s Discussion 1. Technology advances are accelerating, rapidly transforming the world 2. Investors can access this transformation to generate strong financial returns 3. Venture Capital represents an excellent way to invest in emerging Tech innovation 4
Early Technology Eras Lasted Millennia Stone Age Iron Age 2,000,000 BCE 3300 BCE 1200 BCE Bronze Age 6
Until James Watt’s Steam Engine Changed the World,… Late Eighteenth Century Source: 2017 PBS & WGBH Educational Foundation 7
….And, Bent the Curve of Human Development Source: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. 9
Subsequent Technological Progress Keeps Accelerating – Eras Last Decades, Not Centuries Electrification/ Information Mass Production Age 1775 1870 1969 1990s Industrial Revolution Electronics Age 10
We are now in the Information Technology Age 11
Information Technology (IT) Advances Have Built on a Long History of Innovation Punch Electric Computer Portable Touch-Based Cards (ENIAC) Computer Computing 1832 1872 1943 1948 1975 1996 2007 2014 QWERTY Mainframe Mobile Voice-Based Keyboard Computer Computing Computing 12
And Exceeded the Expectations of Some of the World’s Brightest Minds "I think there is a world market for maybe five computers.” Thomas Watson, president of IBM, 1943 "There is no reason anyone would want a computer in their home." Ken Olsen, founder of Digital Equipment Corporation, 1977 "No one will need more than 637KB of memory for a personal computer." Bill Gates,1981 "I predict the Internet will soon go spectacularly supernova and in 1996 catastrophically collapse.” Robert Metcalfe, 3Com founder and inventor of Ethernet, 1995 13
Today, Information Technology Seems Pervasive in the Headlines… Ford just invested $1 billion in self-driving cars 14
…And in Our Everyday Lives Made a phone call Ordered Purchased out/ate out something Hailed a Taxi Accessed email Made a Navigated using reservation GPS Circa 2007 15
Moore’s Law Predicted Exponential Gains in Compute Power Over Time In 1960 Gordon Moore, a founder of Intel, accurately predicted that processing power for computers will double every two years 16
Moore’s Law Predicted Exponential Gains in Compute Power Over Time In 1960 Gordon Moore, a founder of Intel, accurately predicted that processing power for computers will double every two years Source: http://pointsandfigures.com/2015/04/18/moores-law/ 17
The Cost of Compute and Storage Has Collapsed Storage (Average Cost Per GB) Processor Speed ($ per MSOPS*) $1,000,000.00 $1,000,000.00000000 $100,000.00 $100,000.00000000 $10,000.00000000 $10,000.00 $1,000.00000000 $100.00000000 $1,000.00 $10.00000000 $1.00000000 $100.00 $0.10000000 $0.01000000 $10.00 $0.00100000 $0.00010000 $1.00 $0.00001000 $0.00000100 $0.10 $0.00000010 $0.00000001 $0.01 *Million standardized operations per second Source: GP Presentation. Nordhaus, William, The Progress of Computing, Version 4.4, Appendix Table 2, 2001. 18
Household Electronics Today Generally Have as Much Compute Power as the Computers that Landed Apollo 11 on the Moon 1969 2017 Source: ZME Science. 19
The Compute Power of An iPhone7 Overwhelmingly Exceeds That of Apollo 11 Computers Launched in 1969 Launched in 2016 >80 Million Times Faster Source: ZME Science. 20
Major Tech Trends Are Converging ■ Increase in compute power and availability fueling mega trends in technology 1. Internet everywhere 2. Mobile everything 3. Cheaper, more efficient storage 4. Massive amounts of data 5. Machine learning 6. Cloud computing ■ Technology is becoming more ingrained in everyday life, and leading companies / figures in the technology industry have become household names 21
Consumers Are Adopting Technologies Faster Than Ever Years to 50% US Market Penetration 60 40 20 10 Telephone Washing Machine Cellphone Internet Time Period ~1870’s ~1925 ~1980s ~1990s Introduced: Source: NY Times 22
Smartphones Everywhere, Internet Access Ubiquitous Smartphone Penetration of Mobile Phone Market 90% 81% 79% 80% 75% 70% 65% 60% 54% 50% 42% 40% 30% 27% 20% 17% 11% 10% 6% 2% 3% 0% 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Source: comScore MobiLens, U.S., Age 13+, 3 Mo. Avg. Ending Dec 2005 – 3 Mo. Avg. Ending Dec 2016 23
Providing Affordable Access to Technology for the World 4.0 50% 3.5 of World Population Internet Users Worldwide (Billions) 3.0 2.5 2.0 1.5 1.0
The World is More Connected Than Ever, a Development Which Looks Set to Continue Share of world population connected to the internet from 2016 to 2021 +3.7 p.a. +5.7 p.a. 63.9% 61.8% 59.7% 57.5% 55.4% 53.2% 48.8% 50.5% 46.9% 41.6% 44.5% 38.2% 2016 2017 2018 2019 2020 2021 Internet penetration Mobile penetration Source: Statista Digital Market Outlook Note: Figures account for total world population using the internet / a smartphone within the last 12 months 25
“Information Technology Is Eating the World” Disrupting every piece of the consumer pie Distribution of Consumer Wallet by Category (1) Other Education Apparel Entertainment Housing Healthcare Pensions and Social Security Food Transportation Source: U.S. Bureau of Labor Statistics. 26
AirBnB vs Traditional Hospitality Companies Valuation (USD Bn) # of Rooms # of Countries AirBnB AirBnB 31 AirBnB 1,000,000 190 Hilton 29 Hilton 721,000 Hilton 94 Mariott 22 Mariott 710,000 Mariott 79 Starwood 14 Starwood 348,000 Starwood 100 Source: Public Sources. 27
Transforming the Enterprise Only 6% of the $4 Trillion in IT spend today is spent on cloud software Source: GP Presentation. 28
Providing Affordable Access to Technology for the World 4.0 Billions of Internet Users Worldwide Delivering More Apps and Services Over the Internet 3.5 3.0 Scalable Public Cloud Infrastructure 2.5 2.0 1.5 Private Cloud Infrastructure 1.0 0.5 0.0 Source: Internet World Stats. 29
Technology is Transforming Every Major Industry Lets Take a Closer Look at Technology’s Impact on Three Big Industries: 1 Automotive 2 Healthcare 3 Manufacturing & Logistics 30
1 Automotive: Three Major Forces Transforming This Massive Industry Private Car Ride-Sharing Ownership Network Human Autonomous Driving Combustion Electric Engine Vehicles 31
Private Car Ownership Giving Way to Shared / On Demand On Demand Transportation 162,600,000 2,000,000,000 1,000,000,000 Rides in 2016 Total Rides Rides in 2015 New Ways of Renting Cars Source (# of rides, left to right): Business Insider; The Verge (as of June 2016); The Verge. 32
Autonomous Driving MONITORED DRIVING NON-MONITORED DRIVING DRIVER ASSISTED PARTIAL ONLY AUTOMATION CONDITIONAL HIGH FULL AUTOMATION AUTOMATION AUTOMATION Source: GP Presentation. 33
Autonomous Driving Source: Uber; Google. 34
Autonomous Driving 35
Market Valuation of New Entrants to Auto Industry Rival Those of Incumbents Market cap/valuation of selected companies in 2017 (in US$ billion) Automobile Manufacturers New Entrants Toyota Motor Corp. 147.3 Daimler AG 75.3 Volkswagen AG 74.3 Uber Technologies Inc. 68.0 General Motors Co. 51.0 Tesla Motors Inc. 49.8 Didi Chuxing 33.8 Lyft Inc. 6.9 ANI Technologies Pte Ltd. (Ola) 3.0 Grab Taxi Holdings Pte Ltd. 3.0 Source: Yahoo! Finance, CB Insights, livemint Note: Market cap as of 04-20-2017 36
The Automobile and Tech Industries Are Colliding Auto makers have come to Silicon Valley Source: WSJ. 37
Ripple Effects from Auto Transformation Auto Retail Insurance Delivery Autonomous, Electric, Shared Automobiles Rental Car Urban Industry Planning 38
Technology is Transforming Every Major Industry Lets Take a Closer Look at Technology’s Impact on Three Big Industries: 2 Healthcare 39
2 Healthcare: Moore’s Law is Transforming Life Sciences Cost of Gene Sequencing $100,000,000.00 $10,000,000.00 $1,000,000.00 $100,000.00 $10,000.00 $1,000.00 $100.00 $10.00 $1.00 $0.10 $0.01 Oct-03 Dec-02 Apr-06 Oct-08 Apr-11 Oct-13 Nov-05 Dec-07 Nov-10 Dec-12 Sep-01 May-03 Aug-04 Sep-06 May-08 Aug-09 Sep-11 May-13 Aug-14 Feb-02 Jan-05 Jun-05 Feb-07 Jan-10 Jun-10 Feb-12 Jan-15 Jun-15 Jul-02 Jul-07 Jul-12 Mar-04 Mar-09 Mar-14 Cost per Mb* Cost per Genome Sequenced * The cost of determining one megabase (Mb; a million bases) of raw, unassembled DNA sequence data. Source: https://www.genome.gov/sequencingcostsdata/ 40
Convergence of Advances in IT and Life Sciences Are Transforming Healthcare IT Advances Life Science Advances ■ Data Science ■ Gene Sequencing ■ Machine Learning ■ Prevention ■ Gene Editing ■ Diagnosis ■ Computer Vision ■ Targeted Therapeutics ■ Treatment ■ Consumerization of ■ Behavioral Medicine Healthcare 41
Disease Prevention: Using Data and Behavioral Medicine 42
Diagnosis: Deep Learning Algorithms and Computer Vision Leading to Better Anomaly Detection 43
Diagnosis: Deep Learning Algorithms and Computer Vision Leading to Better Anomaly Detection 44
Using Big Data and Machine Learning to Diagnose Earlier and Treat Better 45
Treatment: Gene Editing Has Potential to Eliminate Certain Diseases 46
Technology is Transforming Every Major Industry Lets Take a Closer Look at Technology’s Impact on Three Big Industries: 3 Manufacturing & Logistics 47
3 Manufacturing & Logistics: Multiple Vectors of Change ■ Advanced Materials ■ Drones ■ 3-D Printing 48
Logistics: Drones 49
Logistics: Drones 50
Logistics: Delivery Robots Robots to deliver Yelp Eat24 dinners in two SF neighborhoods 51
Manufacturing & Logistics: 3-D Printing 52
2. Investors Can Access this Transformation to Generate Strong Financial Returns 53
New Technology Trends are Creating New Markets Companies organized by year of founding Search Communications and Social Media 1991 1993 1995 1997 1999 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 eCommerce Sharing Economy Source: Pitchbook 54
Tech is Becoming a Larger Portion of the Economy 12/31/2005 12/31/2010 12/31/2016 Tech Companies % of S&P 500 Market Cap 15.1% 18.6% 20.8% Tech Companies % of S&P 500 Revenues 15.9% 17.4% 19.4% Source: CapitalIQ, as of March 2017. 55
Tech has Performed Well in the Public Markets S&P 500 Russell 2000 IT 300% 250% 200% 150% 100% 50% 0% 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 CapitalIQ as of May 1, 2017 56
Tech has Performed Well in the Public Markets 160% 147% 140% 120% 100% 92% 80% 72% 70% 69% 57% 59% 60% 40% 34% 24% 27% 25% 20% 16% 0% 1 Year Return 3 Year Return 5 Year Return 10 Year Return S&P 500 Russell 2000 IT Chart reflects total return over respective periods. Source: CapitalIQ as of May 1, 2017 57
Tech Companies Now Among Largest by Market Capitalization Top 5 Publicly Intellectual & Human Capital Physical Capital 2001 Traded Companies (by Market Cap) $406B $356B $272B $261B $260B Tech Other 2006 $446B $383B $327B $293B $273B 2011 $406B $376B $277B $237B $228B 2017 $803B $653B $533B $455B $436B Market capitalizations as of December 31st for each respective year; 2017 market capitalization as of May 9, 2017. 58
3. Venture Capital Represents an Excellent Way to Access Emerging Tech Innovation 59
What is Venture Capital? Venture Capital Growth Equity LBO or IPO Revenue Time 60
Some Famous Venture Backed Companies Source: Pitchbook as of 4Q 2016. 61
US Venture Fundraising 2017 Run Rate $ Raised in Billions Fund Count 45.00 300 40.00 250 35.00 30.00 200 25.00 150 20.00 15.00 100 10.00 50 5.00 0.00 0 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017* Source: Pitchbook * 2017 represents annualized data as of May 1, 2017 62
Private Investors Have Benefitted from Pre-IPO Value Creation Market capitalization at IPO vs. today Today Today $170 $453 $536 $19 $26 $442 Billion Billion Billion Billion Billion* Billion $82 Billion $8.9 Billion $8.3 Billion $560 Million $690 Million $225 Million Cisco Amazon Microsoft Workday LinkedIn Facebook 1980’s – 1990’s 2010 – Present *Reflects Microsoft’s purchase price in June 2016. Source: Capital IQ as of 5/1/2017. 63
Median Time from Initial Venture Capital Equity Funding to Exit As of December 31, 2016 11 10 9.9 9.6 9.6 10 9.5 9.4 9 8.8 Number of Years 8.5 8.6 9 8.3 8.1 8 7.7 7.9 8.0 8 7.6 7.6 7.7 7.3 7.6 7.5 7.4 7 7.3 7 6.8 6 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 IPO M&A Companies are staying private longer Source: Pitchbook as of 4Q 2016. 64
Venture Industry Has Attractive Returns, With Wide Dispersion Between Quartiles 95th Percentile As of December 31, 2016 75th Percentile Median Dispersion of Burgiss Returns – Net IRR 25th Percentile 5th Percentile 50.0% 42.5% 40.0% 38.9% 30.0% 31.3% 28.5% 20.0% 17.4% 15.9% 15.9% 14.8% 10.0% 8.7% 8.8% 10.1% 5.2% 7.1% 3.3% 0.0% (1.1%) (3.0%) (10.0%) (10.1%) (15.3%) (20.0%) (20.3%) (30.0%) (31.5%) (40.0%) Small LBO (
Venture Industry Has an Attractive Dispersion of Returns 30.0% 25.0% 20.0% Dispersion of Returns 15.0% 10.0% 5.0% 0.0% -5.0% -10.0% U.S. Fixed Income U.S. Large U.S. Small U.S. Leveraged U.S. Venture Capital Capitalization Equity Capitalization Equity Buyouts 25th Percentile Median 75th Percentile Active manager returns by quartile for period ending June 30, 2012. Fixed income and marketable equity performance based on annualized ten-year returns of BNY Mellon manager universes, adjusted for fees. Venture capital and LBO based on annualized since-inception IRRs of Cambridge Associates manager universes. Source: Yale Endowment, 2012 Report. 66
Access to Top Performers is Important Persistence of returns in venture capital Top 5% 42.5% 49% 1st Quartile 15.9% Of 1st Quartile Funds Generate A Subsequent 1st Quartile Performing Fund 2nd Quartile 65% 7.1% 3rd Quartile (3.0)% Of 1st Quartile Funds Generate A Subsequent 1st Quartile or 2nd Quartile Performing Fund Bottom 5% (20.3)% Source: Burgiss; “Has Persistence Persisted in Private Equity? Evidence From Buyout and Venture Capital Funds” 67
Keys to Building a High Performing Venture Capital Portfolio ■ Manager selection, access, and portfolio construction are paramount ■ Build a high-quality, concentrated portfolio of Venture managers ■ Keep a long-term investment horizon ■ Manage consistent exposure across time (and cycles) 68
Summary ■ Technology advances are accelerating, rapidly transforming the world ■ Investors can access this transformation to generate strong financial returns ■ Venture Capital represents an excellent way to invest in emerging Tech innovation 69
Additional Questions? Brijesh Jeevarathnam Partner & Co-Head of Global Venture Fund Investments 650 331 4869 / brijesh@adamsstreetpartners.com Steven Wilde, CFA Partner, Client Service 312 553 7867 / swilde@adamsstreetpartners.com 70
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