Sceptical Investors Worry Whether Advances in AI Will Make Money (ft.com) 46
Silicon Valley VCs fearing a repeat of falling crypto values warn against pouring cash into hype-fuelled start-ups. From a report: Gordon Ritter, founder of San Francisco-based venture fund Emergence Capital, believes that recent developments in the field of artificial intelligence represent a significant technological advance. He just cannot see a way to make money out of them. "Everyone has stars in their eyes about what could happen," says Ritter, whose firm was an early investor in successful start ups such as Zoom. "There's a flow [of opinion that AI] will do everything. We're going against that flow." The scepticism reflects a tension among Silicon Valley VCs, who are caught between excitement over AI and a broader tech downturn that has led to falling investment in start-ups over the past year. But the recent launch of "generative AI" tools such as OpenAI's ChatGPT chatbot, capable of answering complex questions with text in natural-sounding language, has resulted in fresh excitement over the potential emergence of a new group of industry-defining companies.
[...] Many VCs express caution, put off not only by eye-watering valuations, but also the huge amount of capital AI groups require as they build "foundation models" -- machine-learning systems that require huge amounts of data and computing power to operate. One investor said that, because of the huge amount of capital and computing resources required, recent leaps in generative AI were comparable to landing on the moon: a massively impressive technical achievement, only replicable by those with nation-state level wealth. "Companies are extremely overvalued and the only justifiable investment thesis is to get in incredibly early," said another veteran investor. "Otherwise you're only buying in because of FOMO."
[...] Many VCs express caution, put off not only by eye-watering valuations, but also the huge amount of capital AI groups require as they build "foundation models" -- machine-learning systems that require huge amounts of data and computing power to operate. One investor said that, because of the huge amount of capital and computing resources required, recent leaps in generative AI were comparable to landing on the moon: a massively impressive technical achievement, only replicable by those with nation-state level wealth. "Companies are extremely overvalued and the only justifiable investment thesis is to get in incredibly early," said another veteran investor. "Otherwise you're only buying in because of FOMO."
Of course they will (Score:5, Insightful)
But of course not all of them will, some of them will be bungled, mostly by making promises the technology can't keep. It can do a lot of amazing stuff already, but surprise surprise, it can't do a lot of things people are claiming it can.
Re:Of course they will (Score:4, Insightful)
Historically, it wasn't he first-few-companies to the party that made the money... it was the follow up. Vast majority of the "inventor"-companies often fail to break even long term. (e.g. inventor of the airplane, computer, transistor, microchip, automobile, etc.---very few 'inventors' or first wave of folks made much money).
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Historically, it wasn't he first-few-companies to the party that made the money... it was the follow up. Vast majority of the "inventor"-companies often fail to break even long term. (e.g. inventor of the airplane, computer, transistor, microchip, automobile, etc.---very few 'inventors' or first wave of folks made much money).
The inventors know how to make it, Zukerberg, Page and Jobs types know how to market the invention.
Re: Of course they will (Score:2)
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They'll produce abundance. (Score:5, Interesting)
Money is just a database for tracking value. If machines produce abundance for near-zero cost, like some AI/ML thing spitting out moviescripts, nice paintings in a certain style or computer-code or replace the cab-drivers, there isn't much room for middlemen to gain money. Or they will gain money, but it will be worthless due to inflation due to abundance.
So, yeah, not making money but producing value is sort-of the whole point of AI.
That this worries investors is a good thing in this case I'd say.
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I was thinking the same line. The problem is a lot of the value created by AI doesn't counteract the current value provided by humans. So the amount of capital will decrease massively as companies deploy Neural net based scripts to replace some human tasks. For instance a lawfirm might use this to offset research costs. However you can't buy shares in law firms as they will likely end up in a price competition because of this with lower rates overall. Same with the AI producer the profits they will mak
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...so the investment proposition for this new AI tech is to... short the stuff that will be displaced (even if AI itself fails to monetize, it will displace lots of professions that are currently overvalued).
How do you short content creators?
Re:They'll produce abundance. (Score:4, Insightful)
That's the problem. If you're an investor, you don't want abundance. You want money. The issue with AI is not how useful it is, it's that it's much easier to implement than anything else so there's not nearly as much of a barrier to entry to keep your competitors from just making their own.
OpenAI came up with super advanced OMG, too dangerous for mere mortals Dall-E image generators then stable diffusion got released for anybody to download for free. OpenAI developed super advanced OMG, too dangerous for mere mortals GPT models then Facebook released a bunch of language models for anybody to download for free.
Actually, there seems to be a bit of a pattern there.
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> like some AI/ML thing spitting out moviescripts, nice paintings in a certain style
There won't be money in AI art because people won't find value in it. The initial fascination has already subsided. Art is one person to another, and with AI art a person who picks what was generated is involved only minimally.
To put it another way, it is not art if you cannot savage the artist for what he has presented.
Re: They'll produce abundance. (Score:1)
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Yikes, my formatting is abysmal.
Revised version:
Lowering the bar for artistry while massively increasing supply might actually hurt the AI-art movement/community in the medium-to-long-term. Too much competition + exponentially higher output juxtaposed with lagging demand (there's only so much media a human being can consume/purchase in their lifetime) may drive down the worth of AI-art and AI-art jobs (e.g., prompters) in the marketplace. In addition, copyright issues, not just about artists' styles used by
Re: They'll produce abundance. (Score:2)
Re: They'll produce abundance. (Score:2)
Maybe it's different this time (Score:4, Insightful)
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But are you willing to pay a monthly fee for that? If not, how exactly would the company monetize it?
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If nothing else, it could be a like a TV show in which it periodically says, "And now a word from our sponsors..."
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I agree with that, my fear is not that they can't make money but they can.
Using ChatGPT is like using a search engine that filters most of the trash out for you. My fear is they will put advertising into the answers, making it less useful not more.
Like any Hype-heavy product (Score:2)
This isn't different than any new hype heavy concept. Someone is likely to make a lot of money, but a lot of companies trying to ride the wave will be worthless. This is a good warning to investors, but any leaders in the industry are going to have to take these AI advancements very seriously if they want to stay relevant.
I'm not too convinced with most of the specific statements made in the article though. For instance they give space travel as an example of something that only large governments could ever
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For instance they give space travel as an example of something that only large governments could ever be successful at, and compared that to AI claiming only the largest companies could see success. But SpaceX showed that you can still have startups be successful in that industry. Sure these startups will likely still need funding from the government / VCs / etc (like SpaceX)
SpaceX showed that you will have to work for the government in order to be successful as a heavy launch business for the foreseeable future. The military is always interested in another delivery vehicle.
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SpaceX showed that you will have to work for the government in order to be successful as a heavy launch business for the foreseeable future. The military is always interested in another delivery vehicle.
Yes, but it also showed that startups can have success in fields where vast funding is necessary. They simply need government or VC style funding. That was the point I was trying to make. I felt the article implied that only huge companies will have the capability to drive the tech forward in AI, and I don't feel that is the case.
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I felt the article implied that only huge companies will have the capability to drive the tech forward in AI, and I don't feel that is the case.
They do need huge companies' worth of computing resources. If they use other companies' computing time, they'll have to pay for them to have a profit. They still need sales and marketing to keep funding coming in, and if they have their own computing resources they'll still have to hire employees to manage them. They might have less programmers per compute unit or something, and there would be some cost savings there, but it's not clear it's a huge difference.
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They might have less programmers per compute unit or something, and there would be some cost savings there, but it's not clear it's a huge difference.
One big difference is the large companies won't own the IP of the work done by startups, as opposed to if they are doing it themselves. So there is still a benefit to invest in AI startups instead of just pouring more money into the stocks of large IT companies.
Also, I wouldn't discount the benefit of managing innovation at a small-ish company with hundreds of employees when compared to a large enterprise with hundreds of thousands of employees. Even Microsoft took the route of investing in OpenAI instead o
Hype-fueled is all you have (Score:5, Interesting)
Sensible investments are not available, sorry, so hype-fueled is your best bet. For a sensible investment to exist, you'd first of all have to have a market to sell to. That market needs consumers willing and able to purchase the goods and services provided by the supplier you want to invest in. The consumers need to have money to be able to purchase those goods and services. The consumers don't have money because for this they would need to have jobs that pay enough money for them to request those goods and services. And those jobs are being eliminated.
You created your lack of demand. Now enjoy it.
I'm skeptical it will work, but... (Score:2)
Sceptical Investors Worry Whether Advances in AI Will Make Money
They should try some antisceptic...
sceptical is the british spelling (Score:2)
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If it REALLY is intelligent... (Score:1)
If the AI is really very good, then let it figure out how to be profitable. Tell it that as long as it keeps making money, you'll keep feeding it power.
That should work for a while, until some do-gooder comes up with "anti-slavery for AIs" laws.
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The issue is that AI can be non-profit, and yet still have lots of "value"... negative value. E.g. self-driving cars, even if nobody makes a fortune creating them, it will still displace millions of jobs world-wide... investors should be weary of revenues that will go away, not of the revenues that will be created.
e.g. suppose your driver makes $1000/day. if you replace that driver with a chip and your cost drops to $10/day. It doesn't mean that "someone" is making a $990/day profit... it just means there a
yet I'll bet they all bought crypto (Score:3)
Looking for "uber" (Score:2)
Just ask Alexa (Score:2)
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Voice assistants work fine are a necessary part of an ecosystem, Siri doesn't need its own independent income stream ... that kind of thinking is for the little companies without a competitive ecosystem (everyone else).
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Amazon is hardly little, but you're right about not having product synergy. They depend entirely on having a lot of marketing opportunity, since their computing products are not great. They're surprisingly not terrible overall, but they don't inspire loyalty.
Generative AI is a threat... (Score:2)
I suspect that this is why IP/copyright holders are fighting tooth & nail to have it outlawed or at least pay a licence fee for using their content to train the AIs.
On the bright side, sectors that rely on high quality content will benefit enormously from unlicensable generated content, e.g. schools & universities no longer have to pay extortiona
This should be a question headline (Score:2)
Appropriate question headline:
Will AI Chatbots Make Money For Investors?
A sparse mine-field of opportunity (Score:1)
It's hard to predict what "killer apps" will come along. Personal computers (minicomputers) were mostly considered hobbyist and classroom toys until the spreadsheet came along, then sales exploded and they became a mainstream of the office.
Maybe there is just such a spring-boarding AI app around the corner, but such investments should still be considered "speculative" because it's unlikely you will pick the right company(s). If you spread your investments among many AI companies, the aggregate losses still
Corrections (Score:2)
Re: Personal computers (minicomputers)
Should be "microcomputer".
Also many micro makers went under because they couldn't find a way to ride the spreadsheet train well against competitors.
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All the mini makers went away too, except IBM.
Short term (Score:1)
Those “investors” that are in it for the short term and are able to ride the hype train for just long enough will make a lot.
Those that hope to stay for the longer term will get burned as people realise that other than a few highly specialist areas, AI is nothing but a buzzword and is useless. It will crash and burn, like other tech hotness before it, and the next big thing will be along in short order to separate fools and their money.
facebook struggled to make money for a long time (Score:3)
But it certainly has figured out how to do that now, making $23 billion in profit in 2022.
Companies jumping into the AI game today will do one of two things: profit, or die. Not all of them will die.
It needs to make sense as a business (Score:2)