Top Questions Ahead of our July Bay Area Software Bus Tour

Research evidence excerpt

Top Questions Ahead of our July Bay Area Software Bus Tour

lk to your advantages should hyperscalers or frontier-model providers begin optimizing

for 3D workloads themselves?

4. Stocks in the design space sold off recently on news of Jeff Bezos's AI startup Prometheus raising

$12B to build what it termed an artifical general engineer to automate the design and manufacturing

of physical products. What is your sense of what the company could be pursuing and its overall

strategy?

5. Data, context, and expertise have been described by management as the three scarce AI

differentiators. Given that the underlying data comes from customer projects, how are you

navigating customer consent and opt-out dynamics? Do you foresee the customer willingness to

share data evolve over time?

6. How do you make sure that outputs generated by AI are validated by Autodesk's existing tools around

potential real-world constraints? Could you talk to the concept of providing a harness layer to make

frontier models more controllable and context aware across the lifecycle?

7. The company has articulated the data + context + 3D expertise moat clearly, but from a revenue

model standpoint, how do you see AI contributions evolving? Is it primarily through higher

subscription pricing, incremental Flex/consumption tokens, or entirely new SKUs? Any sense of the

timeline before AI becomes a separately measurable contributor to growth?

8. How should we think about the transition to context-aware agent AI from more automated

assistants? What does the customer demand look like, and what are they looking for currently and

further down the line?

9. Consumption is approximately 17% of revenue currently. How could pricing potentially evolve, and