It’s no mystery that AI has quickly secured itself as one of the foundational pillars of modern product strategies across the tech landscape. With the now majority of businesses adopting and integrating AI at a breakneck rate—so long early adopters—it raises critical questions, like, what are folks doing with it and how are they keeping up with the unprecedented pace?
To answer these questions and more, we surveyed more than 200 top industry leaders to learn what strategic moves they’re making, where their hesitations lie, and what AI trends they envision for the coming year. From founders to engineers to product managers and more, our 2024 Insights Report deep dives into the data to bring you the pulse of the industry—and a clear snapshot of what product teams are building, how they are building it, and what key factors play a pivotal role in their AI evaluation phases.
Click here to access the research report now:
Key questions answered in the report:
- Are product teams building in house, on open source models, or with AI providers?
- Are strategies honing in on single AI offerings or diversifying with multimodal?
- Where are leaders finding the most success and what are they learning along the way?
AI is a race that shows no signs of slowing down. However, it’s more important than ever for teams to master the art of making haste slowly—a smart and controlled integration strategy is paramount to success. Despite the rapid pace of AI innovation and integration, winning teams are those that plan thoughtfully and move forward with a clear understanding of their goals and limitations. Integrating AI doesn’t come without complexity, so ensuring you understand what those complexities are and which ones your team is equipped to take on is key.
Explore the full AssemblyAI Insights Report to learn how forward-thinking leaders are reshaping their product roadmaps and the steps they’re taking to solidify strong AI foundations that scale reliably and long term.