MJ Yang
@mjyang.bsky.social
470 followers 1.1K following 170 posts
Research faculty at Leeds School of Business, CU-Boulder. https://mjyang.com/ Researching Scientific Entrepreneurship, Technological Uniqueness, and AI #scientificentrepreneurship, #strategy, #innovation
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mjyang.bsky.social
Gemini 2.5 Pro is very solid all around. Claude is better at coding. Last place, for most tasks: ChatGPT-5. However, I have actually been quite impressed with Chinese Open weight models such as Qwen3..
mjyang.bsky.social
I have been incredibly fortunate to learn both from my amazing coauthors and a fantastic set of HBS alumni. And this work will be foundational for more forthcoming research (by others and myself) on how AI will impact the process of making business strategy going forward.
mjyang.bsky.social
What is more, we establish causal evidence that business education has a persistent impact on CEO's strategy process -- even decades later. (So yes, business education does actually matter..)
mjyang.bsky.social
Our basic result is that strategic decision-making styles vary widely across CEOs and that CEOs with more structured practices (proactive, consistent and hypothesis-driven), tend to outperform their (less-structured) peers especially in industries with high degrees of strategic complexity.
mjyang.bsky.social
Very happy to see this paper in (online) print. Together with Michael Christensen, @raffasadun.bsky.social , @nickbloom.bsky.social and Jan Rivkin, we interviewed hundreds of CEOs to measure how they make business strategy.

pubsonline.informs.org/doi/10.1287/...
How Do Chief Executive Officers Make Strategy? | Management Science
pubsonline.informs.org
mjyang.bsky.social
Yes, the idea that LLMs pay uniform attention to everything in a paper (or are "better at paying attention that humans") is a widely believed myth.
tuomaspernu.bsky.social
I've never understood the idea that LLMs could be used to summarise research papers. Papers already have an abstract & clearly divided sections (methods/discussion), enabling us to quickly focus on the information that interests us. What else but dross could these bullshitting machines add to this?
Science journalists find ChatGPT is bad at summarizing scientific papers
LLM “tended to sacrifice accuracy for simplicity” when writing news briefs.
arstechnica.com
mjyang.bsky.social
Financial crisis? "According to Moody’s, structured finance has become a popular way to pay for new data center projects, with more than $9 billion of issuance in the commercial mortgage-backed security and asset-backed security markets during the first four months of 2025." (Ian Frisch, NYTimes)
mjyang.bsky.social
"Accenture, (...), in its most recent quarter reported a $100 million increase in new generative AI bookings quarter over quarter. That is down from a $200 million quarter-over-quarter increase the previous two periods."

www.wsj.com/articles/how...
How the AI Boom Is Leaving Consultants Behind
Consultants have a lot to gain helping companies deploy the most transformative technology in decades. Some clients say so far they have overpromised and underdelivered.
www.wsj.com
mjyang.bsky.social
PSA if you travel to SMS-SF: I used the SMS-provided promo code on United and compared it with exactly the same flight without the promo code. The code made my airfare $40 MORE expensive. Nice anecdote for price discrimination or business ethics?

www.colorado.edu/today/2025/0...
Your next airline ticket could be priced by AI
Delta is testing an AI-powered pricing system that could charge two travelers different fares even if they are purchasing at the same moment. Pricing strategy
www.colorado.edu
mjyang.bsky.social
Have we learned nothing from conflicts of interest during the subprime housing crisis? "Both authors have a financial interest in
www.expectedparrot.com. Horton is an economic advisor to Anthropic."
emollick.bsky.social
This is a cool paper that suggests that AI agents can indeed be used for social science experiments, but that just using a chatbot isn't good enough, instead prompts developed based on social & game theory makes AI agent actions predictive of real human outcomes. benjaminmanning.io/files/optimi...
Reposted by MJ Yang
kmcelheran.bsky.social
Excited to have my research (co-authored with the dream team of @mjyang.bsky.social, Zachary Kroff, and @erikbryn.bsky.social) featured in the New Yorker!
johncassidysays.bsky.social
In Silicon Valley, people like to move at breakneck pace and break things. Economic history says: not so fast. My latest column argues that the economic payoffs from AI may take longer than expected to appear.

www.newyorker.com/news/the-fin...
The A.I.-Profits Drought and the Lessons of History
Like the steam engine, electricity, and computers, generative artificial intelligence could take longer than expected to transform the economy.
www.newyorker.com
Reposted by MJ Yang
afinetheorem.bsky.social
Incredibly excited for my brand new class at Rotman this fall: Progress! Econ history + theory + history of thought + philosophy on why rare orgs at rare times in rare places accomplish new things. Trying to put rigor onto an idea that is very much in the air. kevinbryanecon.com/Bryan-Progre... 1/3
mjyang.bsky.social
Seems Sam Altman thinks "Yes", AI is in a bubble? Yet, he wants to let OpenAI employees convert stock to cash with an implied valuation of $500 Billion? (with a B!). What happend to getting "PhD level" ChatGPT-5 expertise, .. (checks notes) .. two weeks ago?!?

www.theverge.com/ai-artificia...
Sam Altman says ‘yes,’ AI is in a bubble
Is the bubble about to burst?
www.theverge.com
Reposted by MJ Yang
benspigel.bsky.social
There is an.....interesting op-ed in today's WSJ from a 22 year old entrepreneur telling everyone that work life balance will "keep you mediocre" It is completly wrong. Let me tell you why with citations. [gift link to the very wrong op-ed] 1/n www.wsj.com/opinion/work...
mjyang.bsky.social
Odd, or signal that ChatGPT-5 is lower quality, but cheaper to run, because it decides when a high-token test-time compute run is triggered..
emollick.bsky.social
Suddenly retiring every other model without warning was a weird move by OpenAI

… and they did it without explaining how switching models worked or even details of various GPT-5 models

…and they did it after many built workflows & training & assignments around older models, maybe breaking them. Odd
mjyang.bsky.social
This also raises huge issues for replicability of research based on older ChatGPT models..
mjyang.bsky.social
Confirmed, geez
Reposted by MJ Yang
mjyang.bsky.social
ChatGPT-5 is here.
Reposted by MJ Yang
joshgans.bsky.social
You should read @noahpinion.blogsky.venki.dev on the data centre investments and whether they will lead to a financial crisis. I think he downplays the risk. It is potentially very high. www.noahpinion.blog/p/will-data-...
Will data centers crash the economy?
This time let's think about a financial crisis before it happens.
www.noahpinion.blog
mjyang.bsky.social
Consider: Google has a 90% market share in web and mobile searches. And has Gemini LLM results on top by default on any search. Are 1 trillion processed tokens really a sign of usefulness? (Same question about MSFT forcing LLMs on their developers..)

We see "revealed preference", just not for LLMs.
emollick.bsky.social
Three things to note about this:

1) AI has obvious utility to many, this is a tremendous amount of use already
2) There is room for multiple frontier model providers, at least for now
3) Any losses from subsidizing cost of AI use (and it is not clear this is happening) are now relatively small