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How Do You Predict a Technology's Future?

2025/1/16
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WSJ Tech News Briefing

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Mark Maurer
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Steven Rosenbush
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Mark Maurer: 风险投资公司投资会计行业主要基于两个原因:首先,私募股权公司的大量投资使得该领域竞争激烈,但同时也带来了丰厚的收入。其次,风险投资公司看好生成式AI技术在会计行业的应用潜力,认为其可以提高效率,降低成本,并提升盈利能力。他们认为,AI可以自动化许多重复性任务,从而使会计公司能够服务更多的客户。一些律师也认为,私募股权公司开始退出该行业,为风险投资公司提供了新的投资机会。 General Catalyst: 我们认为现在整合会计公司并自动化其工作流程是一个巨大的机会。通过自动化,会计公司可以服务两倍的客户数量,从而大幅增加收入。我们不打算裁员,而是希望员工能够从重复性工作中解放出来,专注于更有价值的任务。

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Venture capitalists are investing in accounting firms, driven by private equity activity and the potential of AI to enhance efficiency and profitability. This involves automating tasks and scaling operations, potentially increasing client numbers and revenue.
  • Venture capital firms are investing in accounting firms.
  • AI is seen as key to enhancing efficiency and profitability in accounting.
  • The goal is to automate tasks, scale operations, and increase client numbers.

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ADP knows any big thing, any small thing, any trendy thing, even a trendy thing that everyone knows isn't a great idea, but management just wants us to give it a try for a bit can change the world of work. From HR to payroll, ADP designs forward-thinking solutions to take on the next anything. Welcome to Tech News Briefing. It's Thursday, January 16th. I'm Belle Lynn for The Wall Street Journal.

The latest big investment for venture capital is accounting firms. Our reporter Mark Maurer tells us how they're shaking up a quiet corner of the business world and what artificial intelligence has to do with it.

And then, what does the future hold for tech like AI, electric vehicles, and robotics? It might actually be possible to get better answers. We'll find out why that starts with simply asking better questions. But first, venture capitalists are known for making big bets on risky moonshot technologies. But now, some venture investors are getting excited about accounting firms.

Bessemer Venture Partners, General Catalyst, and Thrive Capital are among the venture outfits taking stakes in accounting firms on the heels of a series of deals led by private equity. So what do these VCs think is the payoff? Our reporter Mark Maurer is here to tell us. So Mark, why are these venture capital firms suddenly interested in investing in accounting firms?

There are at least two key reasons. One is that venture capital firms have been watching this wave of private equity investors pour into the space. In 2021, private equity firms started taking stakes in mid-sized accounting firms, and that

pace of acquisitions has only been picking up. It's becoming increasingly crowded space. Revenue has soared at many of these firms in that period of time. Another key reason is that venture capital has a little bit of a different take here. Some VCs see generative AI technology as being able to really enhance a traditional service business and make it more profitable. Accounting, as we know, has a lot of repetitive tasks. It relies on

heavily on sort of knowledge type work. And so this is an opportunity in their eyes for these firms to become more scalable. Private equity investors have also started exiting from these firms. And so VCs might see them as attractive targets after watching private equity benefit from them. That's something that one lawyer told us.

So you touched on generative AI a little bit. Tell us a little bit more about the whole importance of AI in this trend. Carr, Riggs and Ingram is one of the accounting firms that recently received money from venture capital firms. And they said that they're planning to use that money to take hours out of work in areas like tax returns and audits for clients.

And one of the venture capital firms you talked to is General Catalyst. You spoke with them about their strategy. Tell us, how do they plan to make money off of their investments in services firms?

General Catalyst thinks there's a big opportunity right now to roll up accounting firms and automate a lot of the workflow. They would allow accounting firms to take on twice as many clients, they say. That surge in the number of clients, therefore, could help turbocharge the revenue. General Catalyst says they don't intend for people to lose their jobs with this greater push into AI. Instead, people would be freed up in a way to do business.

That was our reporter, Mark Maurer. Coming up, in a world of potentially transformative technology, is there a way to predict which tech will actually be transformative? We'll get some answers after the break. ADP imagines a world of work where smart machines become too smart. Copier, I need 15 copies of this. Printing. By the way, irregardless, not a word, Janet. Yeah, I know.

Page six should be regardless of or irrespective of. Just print them, please. If it were a word, Janet, it would mean without irregard, which is... Copier! Switch to silent mode. Let's put a pin in it. Anything can change the world of work. From HR to payroll, ADP helps businesses take on the next anything.

Rather than asking whether technology works well or lives up to expectations or meets revenue forecasts, let's try asking better questions. Silicon Valley pioneer and venture capitalist Vinod Khosla has a suggestion. What is the technology's rate of change? WSJ Enterprise Tech Bureau chief and columnist Stephen Rosenbush says that approach could help us predict the future of tech. And he's here now with more.

Steven, you spoke with Vinod Khosla and you zeroed in on his idea of looking at the rate of change. Why exactly is that a useful measure when it comes to tech predictions? Well, you know, there's this analogy of the lily pad that's really interesting.

commonplace in the tech and the VC world. And if you look at a lily pad, it starts off as almost an invisibly small spot in a pond, and it keeps doubling and doubling and doubling and doubling. And then before you know it,

The entire pond is covered in lily pad and everything has changed. The rate of change was constant throughout the entire process. The outcome was only obvious to the

the casual observer toward the end of the process. But if you can look at that process from the very beginning and dial into the rate of change, you can kind of project where things are going. It's still at least as much art as it is science. But as Vinod Khosla told me, he thinks that it is possible to understand the future direction of technology with something like 60 to 70% accuracy. I'll

I'll take those odds. Let's talk about Vinod Khosla for a moment. He's a famed investor, and you spoke with him about how he identified OpenAI as a worthy investment target. And this was well before the AI boom in 2019, where he put $50 million into the company. What has he said about that investment?

The investment process actually began in 2018 at a point at which, by his own admission, the performance of many, many AI-based products and tools and platforms was poor, if not laughable, relative to human benchmarks. But yet he had enough conviction to make what was the largest initial investment by a factor of two in his entire career.

His point was that he looked beyond how AI tools were performing at that moment. And he looked at the rate of change in

within OpenAI's own research, as well as its ability to attract talent, human talent, which is sort of another rate of change. And then he looked also more broadly just at the rate of change within AI itself as a field. He looked at the progress that was going on elsewhere at Google and at Baidu, and he decided that

Based on the rate at which those models were improving and based on the rate at which talent was pouring into companies,

startup, that he felt very, very confident that the company, the technology were going to take off. Does Kostla have any thoughts around where AI is heading now, now that we're in the beginning of 2025? What is the rate of change in AI in this current day and age? Vinod is confident, if not certain, that

that the world is headed towards something called artificial general intelligence, and that this threshold will be crossed in five to seven years, roughly by the end of the decade. People have all sorts of different definitions of AGI. It means that AI is approximating human levels of thinking in some important ways. And he has a very, very specific view, which is sort of a pragmatic definition. In his view, we reach AI when AI

AI can perform 80% of the work that goes into 80% of the world's economically valuable jobs. We should say at the outset that there are plenty of skeptics, plenty of people who argue that that is not the case.

That it won't happen in five to seven years, that it may never happen. But that is very much where he is at right now. Okay. And what about other areas of technology? I'm sure that Koestler's thinking beyond AI, maybe robotics or maybe the life sciences. Does he think that the rate of change there is happening just as quickly or as quickly as

He's struck by the rate of change in a number of areas. He's been investing in nuclear fusion technology. He's been investing heavily in robots, humanoid robots and other forms of robotics. He's been very, very interested in sustainability and clean tech. He sees some innovation in quantum computing, although he seemed very

a little less struck by the pace of innovation there. That was our Enterprise Tech Bureau Chief and Columnist, Stephen Rosenbush. And that's it for Tech News Briefing. Today's show was produced by Julie Chang with Supervising Producer, Catherine Milsop. Logging off, I'm Belle Lynn for The Wall Street Journal. We'll sign back in this afternoon with TNB Tech Minute. Thanks for listening.

ADP knows any big thing, any small thing, any trendy thing, even a trendy thing that everyone knows isn't a great idea, but management just wants us to give it a try for a bit can change the world of work. From HR to payroll, ADP designs forward-thinking solutions to take on the next anything.