There's been a lot of interest recently in @MenloVentures's 2025 Enterprise AI report!
We started publishing this report in 2023 to put real numbers behind how enterprise adoption of generative AI was actually evolving. Three years in, we've captured just how quickly the market has accelerated -- growing to $37B+ this year -- as well as @AnthropicAI's growing presence in the enterprise.
The full methodology is in the report (just scroll to the bottom!) but wanted to share more about who we talked to for this report. We worked with a third-party research firm to survey nearly 500 execs actively buying and building with AI, ranging from Fortune 500 financial institutions to high-growth AI-native startups
Of the builders:
- 334 surveyed used a model API
- 34% CIO / CTO / CEO
- 47% in companies of 1K+ FTEs
- 61% in tech
- 42% IT / 24% product & engineering
Respondents didn't know Menlo commissioned the study and none came from our network
Always amuses me when I ask Claude to improve a Google slide. Instead of just listing suggestions like "add shadows" or "try gradients," it straight up codes full HTML/CSS versions to show me exactly what it means. It's like asking for directions and getting a working GPS. Total flex.
Adarsh Hiremath on whether we will have a future of many specialised models or fewer generalised models:
“We will have many models with different use cases.
Companies will customize their own models for their own purposes.
We are already seeing this with application layer companies today.”
Do you think we will live in a world of many specialised models @chaselochmiller@scottbelsky@mikeyshulman ?
Mercor is solving talent allocation in the AI economy.
The difference between greatness and failure is the right person being in the right place at the right time. Putting them there is the hardest unsolved problem in capitalism.
We’re excited to announce our $100M Series B at a $2B valuation from @felicis, @generalcatalyst, @benchmark, DST and @MenloVentures.
@bgurley on your CNBC segment you should talk more about the "DeepSeek Paradox”: Our attempts to stymie Chinese AI innovation may have actually accelerated it.
Creativity thrives on constraints (not abundance). History shows this - e.g., during WWI Britain blockaded Chile to cut off Germany’s sodium nitrate supplies (used to make explosives), which led to using the Haber-Bosch process to synthetically produce it at scale, which later revolutionized fertilizers and global agriculture, feeding billions.
@m2jr What a legend. Sorry for your loss. In these times I always take comfort in the Dr Suess quote "Don't cry because it's over smile because it happened"