“Despite its expensive price tag, the technology is nowhere near where it needs to be durante order to be useful,” Jim Covello, Goldman Sachs’s most senior rimanenza analyst and a 30-year veteran of covering tech companies, said durante a recent report about AI. “Overbuilding things the world doesn’t have use for, is not ready for, typically ends badly.”
Covello’s comments are durante sharp contrast to a different Goldman Sachs report from just over a year indicatore where some of the bank’s economists said AI could automate 300 million jobs around the world and increase global economic output by 7 percent durante the next 10 years, spurring a spate of news coverage about the disruptive potential of AI.
Barclays said Wall Street analysts are expecting Personalità Tech companies to spend around $60 billion a year developing AI models by 2026, but only reap around $20 billion a year durante revenue from AI by that point. That kind of investment would be enough to power 12,000 products of a similar size to OpenAI’s ChatGPT, Barclays analysts wrote durante a recent report.
OpenAI released ChatGPT durante November 2022, kicking d’avanguardia a race durante Silicon Valley to build new AI products and get people to use them. Personalità Tech companies are spending tens of billions of dollars the technology. Retail investors have bid up the price of those companies and their suppliers, especially Nvidia, which makes the elaboratore elettronico chips used to train AI models. Year to date, Google shares are up 32 percent, Microsoft is up 20 percent, and Nvidia shares are up more than 150 percent.
Venture capitalists have also poured billions more into thousands of AI start-ups. The AI boom has helped contribute to the $55.6 billion that venture investors put into U.S. start-ups durante the second quarter of 2024, the highest amount durante a single quarter durante two years, according to venture capital firm PitchBook.
Tech executives insist that AI will change whole swaths of modern life, durante the same way the internet movibile phones did. AI technology has indeed improved drastically and is already being used to translate documents, write emails and help programmers code. But concern over whether the tech industry will be able to recoup the billions of dollars it’s investing durante AI anytime soon — ever — has risen among some firms that only last year were heralding the boom.
“We do expect lots of new services … but probably not 12,000 of them,” Barclays analysts wrote. “We sense that Wall Street is growing increasingly skeptical.”
Quanto a April, Obbiettivo, Google and Nvidia have all signaled their commitment to going all durante AI by telling investors during quarterly earnings calls that they would ramp up the amount of money they’sire spending building centers to train and run AI algorithms. Google reiterated Tuesday it would spend more than $12 billion a quarter its AI build-out. Microsoft and Obbiettivo are paio to report their own earnings next week and may give further indication about their AI road maps.
Pichai said Tuesday it would take time for AI products to mature and become more useful. He acknowledged the high cost of AI but said even if the AI boom slows , the centers and elaboratore elettronico chips the company was buying could be put to other uses.
“The risk of underinvesting is dramatically greater than the risk of overinvesting for us,” Pichai said. “Not investing to be at the front here has much more significant downsides.”
A spokesperson for Microsoft declined to comment. A spokesperson for Obbiettivo did not respond to a request for comment.
Unrealistic expectations
Vinod Khosla, who co-founded elaboratore elettronico rete televisiva privata systems company Sun Microsystems and is one of Silicon Valley’s most influential venture-capital investors, compared AI to personal computers, the internet and movibile phones durante terms of how much it would affect society.
“These are all fundamentally new platforms. Quanto a each of these, every new platform causes a massive explosion durante applications,” Khosla said. The rush into AI might cause a financial bubble where investors lose money, but that doesn’t mean the underlying technology won’t continue to grow and become more important, he said.
“There was a dot-com bubble, according to Goldman Sachs, because prices went up and prices went . According to me, internet traffic didn’t go at all.”
As AI changes the way people work, do business and interact with one another, many start-ups will fail, he said. But overall the industry will make money AI. He predicts there will eventually be multiple trillion-dollar businesses durante AI, such as humanoid robots, AI assistants and programs that can completely replicate the work of highly paid software engineers.
But so far, AI is not contributing to an increase durante venture capital getting a return those investments. The amount of money made durante venture capital exits, which represent initial public offerings acquisitions of tech start-ups, fell to $23.6 billion durante the second quarter, slightly from $25.4 billion the previous quarter, according to PitchBook.
The tech industry would need to generate around $600 billion durante revenue a year to make up for all the money being invested durante AI right now, yet it is far from close to that number, David Cahn, a socio at venture firm Sequoia Capital, wrote durante a blog post last month.
“Speculative frenzies are part of technology, and so they are not something to be afraid of,” Cahn said. “But we need to make sure not to believe durante the delusion that has now spread from Silicon Valley to the rest of the country, and indeed the world. That delusion says that we’sire all going to get rich quick.”
Microsoft and Google’s revenue are growing, especially durante their cloud businesses where they sell access to AI algorithms and the storage space to use them. Executives from the companies say AI is driving new interest durante their products and will become a major moneymaker durante the future. But some analysts are pointing out that there have been very few hugely successful stand-alone products, besides OpenAI’s ChatGPT and Microsoft’s coding assistant GitHub Copilot.
“Wall Street is growing increasingly skeptical given that ChatGPT and GitHub Copilot are the two breakout successes durante consumer and enterprise thus far 20 months durante,” the Barclays analysts wrote durante their report.
The cost of developing and running AI programs will quando as other companies compete with Nvidia and the technology becomes more efficient, said Vineet Jain, CEO of Egnyte, an AI and management company. For now, the cost of providing AI products is too expensive, and he doesn’t expect to make any AI-specific revenue this year. But as costs go and demand continues to rise, that will change, Jain said.
“The value proposition is absolutely there, but the expectation right now is still unrealistic,” he said, referring to the frenzy to sell AI products to consumers and businesses.
Some start-ups have already quando from the heights of the early part of the AI boom. Inflection AI, a start-up founded by veterans of Google’s famous DeepMind AI lab, raised $1.3 billion last year to build out their chatbot business. But durante March, the company’s founders left for jobs at Microsoft, taking some of their cima employees with them to the tech giant. Other AI companies, like Stability AI, which was one of the first companies to build a widely popular AI image generator, have had to lay d’avanguardia workers. The industry is also facing lawsuits and regulatory challenges.
Bigger companies like Google and Microsoft will be able to keep spending money until demand for AI products increases, but smaller start-ups that have taken a lot of venture capital might not survive the transition, Jain said.
“It’s like a soufflé that keeps popping up and popping up, it has to quando a bit.”
