Anthropic AI tool sparks selloff from software to broader market
bloomberg.com60 points by garbawarb 3 hours ago
60 points by garbawarb 3 hours ago
I came across this company called OpenEvidence. They seem to be offering semantic search on medical research. Founded in 2021.
How could it possibly keep up with LLM based search?
It is a little more than semantic search. Their value prop is curation of trusted medical sources and network effects--selling directly to doctors.
I believe frontier labs have no option but to go into verticals (because models are getting commoditized and capability overhang is real and hard to overcome at scale), however, they can only go into so many verticals.
> Their value prop is curation of trusted medical sources
Interesting. Why wouldn't an LLM based search provide the same thing? Just ask it to "use only trusted sources".
They're building a moat with data. They're building their own datasets of trusted sources, using their own teams of physicians and researchers. They've got hundreds of thousands of physicians asking millions of questions everyday. None of the labs have this sort of data coming in or this sort of focus on such a valuable niche
> They're building their own datasets of trusted sources, using their own teams of physicians and researchers.
Oh so they are not just helping in search but also in curating data.
> They've got hundreds of thousands of physicians asking millions of questions everyday. None of the labs have this sort of data coming in or this sort of focus on such a valuable niche
I don't take this too seriously because lots of physicians use ChatGPT already.
> Why wouldn't an LLM based search provide the same thing? Just ask it to "use only trusted sources".
Is that sarcasm?
why?
How does the LLM know which sources can be trusted?
yeah it can avoid blogspam as sources and prioritise research from more prestigious journals or more citations. it will be smart enough to use some proxy.
Much of the scientific medical literature is behind paywalls. They have tapped into that datasource (whereas ChatGPT doesn't have access to that data). I suspect that were the medical journals to make a deal with OpenAI to open up the access to their articles/data etc, that open evidence would rely on the existing customers and stickiness of the product, but in that circumstance, they'd be pretty screwed.
For example, only 7% of pharmaceutical research is publicly accessible without paying. See https://pmc.ncbi.nlm.nih.gov/articles/PMC7048123/
I'm not really understanding why Thomson Reuters is at direct risk from AI. Providing good data streams will still be very valuable?
They’re one of the two big names in legal data - Thomson Reuters Westlaw and RELX LexisNexis. They’re not just search engines for law, but also hubs for information about how laws are being applied with articles from their in house lawyers (PSLs, professional support lawyers - most big law firms have them as well to perform much the same function) that summarise current case law so that lawyers don’t have to read through all the judgements themselves.
If AI tooling starts to seriously chip away at those foundations then it puts a large chunk of their business at risk.
The commodification of expertise writ large is a bit mind boggling to contemplate.
TR will not disappear. But their value to the market was "data + interface to said data" and that value prop is quickly eroding to "just the data".
You can be a huge, profitable data-only company... but it's likely going to be smaller than a data+interface company. And so, shareholder value will follow accordingly.
Seems like they should hold tight to that data (and not license it for short-term profit), so customers have to use their interface to get at it.
If customers start asking Claude first, before they ask Thomson Reuters, that's a big risk for the later company.
Got it, thank you for the insight.
The assumption is that Claude has access to a stream of fresh, currated data. Building that would be a different focus for Anthropic. Plus Thomson Reuters could build an integration. Not totally convinced that is a major threat yet.
Can this really be a kind of herding stampede behavior over Cowork? It’s been out several days now and just all the sudden today, all the traders suddenly got it into their little herd animal heads that everyone should rush to the exists… after that equally sketchy silver and gold rug pull type action last week?
Something seems quite off. Am I the only one?
Markets are not as efficient as the textbooks would have you believe. Investors typically rely on a fairly small set of analysts for market news and views. It might take those guys a while to think about stuff, write a note etc. The deepseek crash last year lagged by several days as well.
I'm out of the loop, but I thought there were sophisticated automated trading algorithms where people pay to install microwave antennas so they can have 1ms lower latency. And I thought those systems are hooked up to run sentiment analysis on the news. Maybe the news is late?
Could this lead to more software products, more competition, and more software engineers employed at more companies?
I think companies will need to step up their game and build more competitive products with more features, less buggy and faster than what people can build
I think the argument is that tools like Claude Code will cause more companies to just build solutions in-house rather than purchase from a vendor.
This is correct. AI is a huge boon for open source, bespoke code, and end-user programming. It's death for business models that depend on proprietary code and products bloated with features only 5% of users use.
possibly also a boon for automated testing tools and infra designed for ai-driven coding.
I kind of imagine more people going off and building their own companies.
I think so too. But because of code quality issues and LLMs not handling the hard edge cases my guess is most of those startups will be unable to scale in any way. Will be interesting to watch.
It’s demonetizing process rent-seeking. AI can build whatever process you want, or some approximation of it.
Paypal fell 20% today.