How to Invest in Tomorrow’s Tech Trends Today
We put the question to Jerry Yang co-founder of Yahoo!
We put the question to Jerry Yang co-founder of Yahoo!
Which companies, public and private, are best-positioned for the next 100 years—or at least the next few years? We put the question to Jerry Yang, founding partner of AME Cloud Ventures and co-founder of Yahoo!, and a member of Barron’s Centennial Roundtable. Yang, a longtime venture capitalist based in Silicon Valley, has seen his share of start-ups and innovations. He highlights some of today’s most promising companies and trends in the edited interview below.
Barron’s: Which companies excite you these days, and why?
Jerry Yang: I’ll start with Zoom Video Communications [ticker: ZM]. Never in a thousand years would we have thought that ‘Zoom’ would become a verb in this context. This company took the opportunity to become massively skilled in the past 15 months. In hindsight, we might say it was easy for them to have done that, but they had to overcome a lot of privacy and scale issues. They really matured in a hurry. The future for video is huge. How do we enhance it? How do we make video more intelligent and productive?
Will the future belong to Zoom or a host of competitors?
From the big competitors to start-ups, everyone is emulating or attempting to catch up to Zoom’s capabilities. Zoom has announced a platform marketplace for applications. It is adding more intelligence to its platform, and more productivity tools. In my view, by launching an app store of sorts, Zoom can create an ecosystem that is a defensible barrier to competition.
Zipline, an on-demand delivery service, is another company to watch. It operates fixed-wing drones that carry a few kilograms of payload. They can fly 160 kilometres round trip. When they reach their destination, they drop an insulated package with a parachute. Zipline was founded in Silicon Valley, but its first scaled deployment is medical supply in Rwanda, Africa. Zipline delivers blood supplies and critical medicines. It continues to scale. It is an incredibly exciting company.
Do you expect Zipline to go public in the next few years?
That’s a good question. Companies are raising as much money now in private funding rounds as they would have in an initial public offering. IPOs help with branding and maybe create a new investor base, but if a company just needs capital, there is plenty in the private market. From 2012 to 2015 or ’16, there were few companies coming public. The IPO market goes in cycles. With today’s abundance of low-cost capital, private companies can take risks and have the money to grow.
What other industries or companies look promising to you?
In the area of artificial intelligence and drug discovery, we invested in Recursion Pharmaceuticals [RXRX], which went public in April. Recursion is based in Salt Lake City, which has become a hotbed for biotech start-ups. The company uses massive data computational tools, lab robotics, and a petabyte-level database to speed up the drug-discovery process. Zymergen [ZY] also operates in an area I’m pretty excited about—biofacturing. This is a materials manufacturing company, using AI, automation, and biology for scale manufacturing.
How does biology fit into the equation?
Instead of using chemicals, for instance, they’re using yeast fermentation to make new materials and products—from new electronic displays to naturally derived bug repellents. Ginkgo Bioworks is another biofacturing company I’m excited about. More broadly, the birth of genetic sequencing launched a whole industry that’s exciting, including gene editing. Synthetic biology is at an early stage, but we’re already starting to see companies come to fruition, such as Twist Bioscience [TWST], which manufactures and sells synthetic DNA-based products. The world will need more of these technologies in coming years. Ten years ago, we hadn’t “printed” a single gene. Now we’re printing tens of millions, and that will go to billions in the next few years.
What other technologies should we be watching?
I’ll emphasize a couple of trends. We’re moving into a world where cameras will be smarter. Whether cameras are manned by Zoom apps or cars or your watch, they will be equipped with more sensors, and the sensors will get smarter. That means more data will be fed into the cloud. We’re also seeing huge investments in natural-language processing. A lot of theoretical work was done in this area, and now we’re starting to see practical applications. All of this means the cloud is getting smarter. We’re going to need a lot more bandwidth. If we build bandwidth, the applications will come. Sensors and devices will be communicating with each other, without human intervention. That’s another massive source of new data that will come online.
The idea of using biomaterials in sensors is still in the research lab, but it’s something to watch. Sensors made of carbon, instead of silicon, could be much more responsive to an individual’s biology.
We haven’t talked about longevity. Science tells us the average life span for today’s teenagers could be well beyond 100.
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.