Thanks Carlos.
Great additional thoughts on the charts and data presented in the slides from the Team at Apollo.
As we all know, the adage that "culture eats strategy for breakfast" can probably be seen in the context of adoption of AI and AI tools (particularly among larger organisations).
Moreover, clearly the wider workforce still lacks the necessary skill set to adapt the already available technology tools at scale (I'm not even thinking about optimisation yet).
What is interesting is that when you combine all this you get an interesting picture (presented by WSJ recently) where employees and management have a completely different views on adoption and productivity related to AI.
Whether this divergence is driven by subjective opinions or rational objectivity only time will tell but real adoption should be inclusive of everyone in order for the benefits of productivity to be felt among all (evenly).
Hope this helps,
- Todor
P.S. Link to WSJ article below:
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Todor Kostov
Director
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Original Message:
Sent: 03-02-2026 16:27
From: Carlos Salas
Subject: Quantifying the Productivity Gains from AI - Apollo
Great Post.
Probably there are few more slides in the document that set forth the challenge of corporates adoption GenAI effectively.
No doubt AI adoption has been fast compared to other past technology:
That said, AI adoption has stagnated over the past twelve months, and scale has not translated into faster uptake, largely because entrenched corporate cultures, especially in large enterprises, remain resistant to change as the next chart shows:
Similarly, this reluctance to change matches a weak technological implementation, limiting the realisation of expected outcomes, as shown in the next chart. I hypothesise that this stems from both a shortage of GenAI-ready skill sets and an enduring resistance to cultural change, reminiscent of the early adoption phase of data science more than a decade ago:
Overall, I believe the next three years will be pivotal in determining which companies successfully transform their corporate cultures, empowering employees through GenAI training and realizing the productivity gains outlined in the opening slides. Ultimately, the willingness to change will matter more than any future breakthroughs in agentic workflows or new generations of LLMs.
Happy to hear the thoughts of the rest of the community.
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Carlos Salas
Portfolio Manager & Freelance Investment Research Consultant
Original Message:
Sent: 01-02-2026 21:30
From: Todor Kostov
Subject: Quantifying the Productivity Gains from AI - Apollo
Apollo and Torsten Slok's Team publiched this week a brief report on Quantifying the Productivity Gains from AI.
PDF
The chartbook is quite interesting and in summary, they believe that we are in the early stages of a boom in labor productivity.
Also, while there are questions about the magnitude of the impact at the macro level, they point out that it is clear that there are already significant sector impacts including in DevOps software, robotic process automation and content management systems.
- Todor
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Todor Kostov
Director
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