Investors Are Suddenly Getting Concerned That AI Isn't Making Any Serious Money
Investors are worried about AI profitability, with analysts warning of a potential bubble. Companies like Google and Microsoft face high costs and unclear monetization strategies, raising concerns about sustainability.
Read original articleInvestors are increasingly concerned about the profitability of artificial intelligence (AI) technologies, with many analysts warning of a potential bubble similar to the dot-com crisis. Reports indicate that Wall Street is becoming skeptical about Big Tech's ability to monetize AI investments, which have surged into the billions. Goldman Sachs' Jim Covello highlighted that the current technology is not yet useful enough to justify its high costs. Google recently reported disappointing second-quarter earnings, with rising expenses related to AI model training, leading to a projected capital expenditure of over $49 billion this year, significantly higher than previous averages. Despite this, Google CEO Sundar Pichai maintains that the risk of underinvestment is greater than overinvestment. Other tech giants like Microsoft and Meta are also heavily investing in AI without clear monetization strategies. Analysts from Barclays predict that $60 billion annually will be invested in AI development, but question the necessity of creating numerous similar products. Concerns about a speculative bubble have been echoed by various experts, who note that current investments are not aligned with company fundamentals. Sequoia Capital's David Cahn suggests that while speculative frenzies are common in tech, the path for AI will be long and challenging. OpenAI is reportedly facing significant financial losses, raising concerns about the sustainability of smaller companies in the competitive AI landscape. The future profitability of AI technologies remains uncertain as costs continue to outpace revenues.
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What does it matter that they have no idea where to sail it? They know they are bound for some port, and when they arrive it will be glorious.
Actual article among others: https://www.washingtonpost.com/technology/2024/07/24/ai-bubb...
(Lots of discussion: https://news.ycombinator.com/item?id=41087719)
Maybe one starbucks late per year... just maybe.
Go do more carefully crafted demos to CEOs that don't try to use the product themselves and maybe you'll get some more sales.
AI should be a bit quicker, given its accessibility. Stubborn humans and their bureaucracy will hold that back a bit though. For instance my company is concerned about data privacy, needs to go through the legal departments approval then IT's approval, by the time it's in the actual hands of the user it's obsolete or limited in use case.
Definitely a big opportunity for investors, the long payback period is the issue.
We have at least one new major firm out of the initial boom, with bright prospects, and huge cash burn, but a TON of customers.
The tools are so general right now, there’s a lot to be written. It seems certain that we’ll get cost savings, automation, and almost certain that we’ll get new revenue streams out of this — whoever figures out how to get new revenue that’s not based on SAAS model delivery of cost savings is going to be very happy.
To keep the long view, the last time we had such broad individual mass market adoption of a technical tool regardless of corporate bans and rules was the iPhone, before that, probably Linux in IT departments in the 1990s. People WANT and NEED these LLMs for a lot of daily work. Some folks are going to figure out the business models and make some venture funds very happy.
But I also doubt if it will have that much effect. In general we have diminishing returns from these kind of technology, telegraph's effect on the world was larger than the computer, computers were more valuable than WWW and search engines have smaller effect than WWW. AI may be big, but could it be bigger than search or e-commerce? I doubt it.
Maybe I'm just overly optimistic, but on a wider society scale I see a lot worse things they could be pouring money in to (eg Ads). Even if they never make money on it, at least we end up with a lot of open knowledge through all the papers that have been published and even some open-source models that can do some neat things.
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