Scientists, technologists, engineers, and visionaries are building the future. Amazing things are in the pipeline. Its a big deal. But you already knew all that. Such speculation is common. Whats less common? Scale.
How big is big?
Silicon Valley, Silicon Alley, Silicon Dock, all of the Silicons around the world, they are dreaming the dream. They are innovating, Catherine Wood said at Singularity Universitys Exponential Finance in New York. We are sizing the opportunity. That's what we do.
Wood is founder and CEO of ARK Investment Management, a research and investment company focused on the growth potential of todays disruptive technologies. Prior to ARK, she served as CIO of Global ThematicStrategies at AllianceBernstein for 12 years.
We believe innovation is key to growth, Wood said. We are not focused on the past. We are focused on the future. We think there are tremendous opportunities in the public marketplace because this shift towards passive [investing] has created a lot of risk aversion and tremendous inefficiencies.
In a new research report, released this week, ARK took a look at seven disruptive technologies, and put a number on just how tremendous they are. Heres what they found.
(Check out ARKs website and free report, Big Ideas of 2017, for more numbers, charts, and detail.)
Deep learning is a subcategory of machine learning which is itself a subcategory of artificial intelligence. Deep learning is the source of much of the hype surrounding AI today. (You know you may be in a hype bubble when ads tout AI on Sunday golf commercial breaks.)
Behind the hype, however, big tech companies are pursuing deep learningto do very practical things. And whereas the internet, which unleashed trillions in market value, transformedseveralindustriesnews, entertainment, advertising, etc.deep learning will work its way intoeven more, Wood said.
As deep learning advances, it shouldautomate and improve technology, transportation, manufacturing, healthcare, finance, and more. And as is often the case with emerging technologies, it may form entirely new businesses we have yet to imagine.
Bill Gates has said a breakthrough in machine learning would be worth 10 Microsofts. Microsoft is $550 to $600 billion, Wood said. We think deep learning is going to be twice that. We think [it] could approach $17 trillion in market capwhich would be 35 Amazons.
Wood didnt mince words about a future when cars drive themselves.
This is the biggest change that the automotive industry has ever faced, she said.
Todays automakers have a global market capitalization of a trillion dollars. Meanwhile, mobility-as-a-service companies as a whole (think ridesharing) are valued around $115 billion. If this number took into account expectations of a driverless future, itd be higher.
The mobility-as-a-service market, which will slash the cost of "point-to-point" travel, couldbe worth more than todays automakers combined, Wood said. Twice as much, in fact. As gross sales grow to something like $10 trillion in the early 2030s, her firm thinks some 20% of that will go to platform providers. It could be a $2 trillion opportunity.
Wood said a handful of companies will dominate the market, and Tesla is well positioned to be one of those companies. They are developing both the hardware, electric cars, and the software, self-driving algorithms. And although analysts tend to look at them as a just an automaker right now, thats not all theyll be down the road.
We think if [Tesla] got even 5% of this global market for autonomous taxi networks, it should be worth another $100 billion today, Wood said.
3D printing has become part of mainstream consciousness thanks, mostly, to the prospect of desktop printers for consumer prices. But these are imperfect, and the dream of an at-home replicator still eludes us. The manufacturing industry, however, is much closer to using 3D printers at scale.
Not long ago, we wrote about Carbons partnership with Adidas to mass-produce shoe midsoles. This is significant because, whereas industrial 3D printing has focused on prototyping to date, improvingcost, quality, and speed are makingitviable for finished products.
According to ARK, 3D printing may grow into a $41 billion market by 2020, and Wood noteda McKinsey forecast of as much as $490 billion by 2025. McKinsey will be right if 3D printing actually becomes a part of the industrial production process, so end-use parts, Wood said.
According to ARK, the cost of genome editing has fallen 28x to 52x (depending on reagents) in the last four years. CRISPR is the technique leading the genome editing revolution, dramatically cutting time and cost while maintaining editing efficiency. Despite its potential, Wood said she isnt hearing enough about it from investors yet.
There are roughly 10,000 monogenic or single-gene diseases. Only 5% are treatable today, she said. ARK believes treating these diseases is worth an annual $70 billion globally. Other areas of interest include stem cell therapy research, personalized medicine, drug development, agriculture, biofuels, and more.
Still,the big names in this areaIntellia, Editas, and CRISPRarent on the radar.
You can see if a company in this space has a strong IP position, as Genentech did in 1980, then the growth rates can be enormous, Wood said. Again, you don't hear these names, and that's quite interesting to me. We think there are very low expectations in that space.
By 2020, 75% of the world will own a smartphone, according to ARK. Amid smartphones' many uses, mobile payments will be one of the most impactful. Coupled with better security (biometrics) and wider acceptance (NFC and point-of-sale), ARK thinks mobile transactions couldgrow 15x, from $1 trillion today to upwards of $15 trillion by2020.
In addition, to making sharing economy transactions more frictionless, they are generally keyto financial inclusion in emergingand developed markets, ARK says. And big emerging markets, such as India and China, are at the forefront, thanks to favorable regulations.
Asia is leading the charge here, Wood said. You look at companies like Tencent and Alipay. They are really moving very quickly towards mobile and actually showing us the way.
Robots arent just for auto manufacturers anymore. Driven by continued cost declines and easier programming, more businessesare adopting robots.Amazons robot workforce in warehouses has grown from 1,000 to nearly 50,000 since 2014. And they have never laid off anyone, other than for performance reasons, in their distribution centers, Wood said.
But she understands fears over lost jobs.
This is only the beginning of a big round of automation driven by cheaper, smarter, safer, and more flexible robots. She agrees there will be a lot of displacement. Still, some commentatorsoverlook associated productivity gains. By 2035, Wood said US GDP couldbe $12 trillion more than it would have been without robotics and automationthats a $40 trillion economy instead of a $28 trillion economy.
This is the history of technology. Productivity. New products and services. It is our job as investors to figure out where that $12 trillion is, Wood said. We can't even imagine it right now. We couldn't imagine what the internet was going to do with us in the early '90s.
Blockchain-enabled cryptoassets, such as Bitcoin, Ethereum, and Steem, have caused more than a stir in recent years. In addition to Bitcoin, there are now some 700 cryptoassets of various shapes and hues. Bitcoin still rules the roostwitha market value of nearly $40 billion, up from just $3 billion two years ago, according to ARK. But its only half the total.
This market is nascent. There are a lot of growing pains taking place right now in the crypto world, but the promise is there, Wood said. Its a very hot space.
Like all young markets, ARK says, cryptoasset markets are characterized by enthusiasm, uncertainty, and speculation. The firms blockchain products lead, Chris Burniske, uses Twitterwhich is where he says the communitycongregatesto take the temperature. In a recent Twitter poll, 62% of respondents said they believed the markets total value would exceed a trillion dollars in 10 years. In a followup, more focused on thetrillion-plus crowd, 35% favored$1$5 trillion, 17% guessed $5$10 trillion, and 34% chose $10+ trillion.
Looking pastthe speculation, Wood believes theres at least one bigarea blockchain and cryptoassets are poised to break into: the $500-billion, fee-based business of sending money across borders known as remittances.
If you look at the Philippines-to-South Korean corridor, what you're seeing already is that Bitcoin is 20% of the remittances market, Wood said. The migrant workers who are transmitting currency, they don't know that Bitcoin is what's enabling such a low-fee transaction. It's the rails, effectively. They just see the fiat transfer. We think that that's going to be a very exciting market.
Stock media provided by NomadSoul1/Pond5.com
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