Unlocking the Potential: GenAI’s Impact on Product Innovation and Growth
Among respondents who are experimenting with, or have integrated, GenAI (n = 33), 39%
primarily use it for predictive analytics in their product strategies.
Broadly, what is the main use case for GenAI integration in your organization’s product strategy?
n = 33
Note: May not add up to 100% due to rounding
Question shown only to respondents who answered “Experimented in isolated products”,
“Integrated into some products”, and “Fully integrated across all products” to “Which of
the following best describes your organization’s integration of GenAI in their products?”
*Other includes: “Chat“ and “Chatbots for rapid prototyping”
More specifically, the most commonly identified types of predictive analytics made
available by GenAI include personalized recommendations (48%) and user behavior
predictions (39%).
What types of predictive analytics does your GenAI integration make available? Select all that apply.
Unsure 6% | Other 6%
n = 33
Question shown only to respondents who answered “Experimented in isolated products”, “Integrated into some products”, and “Fully integrated across all products” to “Which of the following best describes your organization’s integration of GenAI in their products?”
*Other includes: “Predictive Maintenance“ and “Commodity price forecasting”
Personalized recommendations (58%) are also the most commonly identified user
personalization made available by GenAI integration, followed by virtual assistants (55%)
and advanced search and filtering (52%).
What types of user personalization does your GenAI integration make available for your products? Select all that apply.
Customized news feed 21% | We don’t use GenAI for user personalization 6% | Unsure 0% | Other 0%
n = 33
Question shown only to respondents who answered “Experimented in isolated products”, “Integrated into some products”, and “Fully integrated across all products” to “Which of the following best describes your organization’s integration of GenAI in their products?”
Customer support through AI-driven chatbots (70%) is the most common process automation GenAI integration makes available for most respondents.
What process automations does your GenAI integration make available? Select all that apply.
Anomaly/fraud detection 18% | We don’t use GenAI for process automation 3% | Unsure 0% | Other 0%
n = 33
Question shown only to respondents who answered “Experimented in isolated products”, “Integrated into some products”, and “Fully integrated across all products” to “Which of the following best describes your organization’s integration of GenAI in their products?”
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Question shown only to respondents who answered “Experimented in isolated products”, “Integrated into some products”, and “Fully integrated across all products” to “Which of the following best describes your organization’s integration of GenAI in their products?”
GenAI will help us in generating customer centric content faster and cheaper. We see providing support and training videos targeting many more local languages without [a] bottleneck of specific language speaking people.
GenAI integrations have the potential to enhance our product by providing specialized features, expanding capabilities, and offering more tailored experiences to users. This could lead to increased user engagement, improved problem-solving, and broader
applicability across various domains.
Demand for AI product managers is growing
Among respondents who are exploring GenAI and have plans to integrate (n=60), 65%
say their organization plans to train existing product managers to better support GenAI
product integrations.
Does your organization plan to train existing product managers to better support GenAI product integrations?
n = 60
Note: May not add up to 100% due to rounding
Question shown to all respondents except those who answered “Not currently exploring GenAI, and we have no plans to” and “Conducted initial research, no plans to integrate” to “Which of the following best describes your organization’s integration of GenAI in their products?”
Furthermore, half are considering hiring dedicated AI product managers to better support their GenAI product integrations (50%). 18% already have hired AI product managers.
Does your organization plan to hire AI product managers to better support GenAI product integrations?
n = 60
Note: May not add up to 100% due to rounding
Question shown to all respondents except those who answered “Not currently exploring GenAI, and we have no plans to” and “Conducted initial research, no plans to integrate” to “Which of the following best describes your organization’s integration of GenAI in their products?”
Respondents have a diverse set of concerns regarding GenAI implementation. Privacy and security of user data (53%) is one of the most commonly selected concerns, followed
by algorithm bias and fairness (42%) and data quality and availability (38%).
What concerns do you have about implementing GenAI in your product? Select top three (3).
Lack of AI expertise on team 23% |
Ethical and regulatory compliance 22% |
User acceptance / adoption of AI features 20% |
Difficulty measuring ROI 18% |
Unforseen legal and liability issues 13% |
Misalignment with user expectations 13% |
Unpredictable performance in real-world scenarios 12% |
No anticipated challenges or concerns 10% |
Loss of human touch in user interactions 8% |
Overdependence on AI 5% |
Resistance to change from stakeholders 5% |
Unsure 2% | Other 0%
n = 60
Question shown to all respondents except those who answered “Not currently exploring GenAI, and we have no plans to” and “Conducted initial research, no plans to integrate” to “Which of the following best describes your organization’s integration of GenAI in their products?”
Expecting improved competitive advantage, PMs are aligned top down on AI product integration
Almost a third (32%) of surveyed product managers anticipate that implementing GenAI
into their product strategy will most significantly influence their competitive advantage.
Which business outcome do you expect to be most significantly influenced by implementing GenAI into your organization’s product strategy?
Time-to-market for new features 0% | Quality control 0% | Other 0% | We don’t expect any business outcomes to improve 0%
n = 60
Note: May not add up to 100% due to rounding
Question shown to all respondents except those who answered “Not currently exploring GenAI, and we have no plans to” and “Conducted initial research, no plans to integrate” to “Which of the following best describes your organization’s integration of GenAI in their products?”
Respondents feel their organization is aligned top-down on the use of GenAI in product
integration (78%), business outcomes (67%), and user experience (65%). Over half (51%) are unsure or don’t feel their organization is aligned on budget.
Do you feel your organization is aligned top-down on the use of GenAI in your product(s) when it comes to each of the following?
n = 60
Note: May not add up to 100% due to rounding
Question shown to all respondents except those who answered “Not currently exploring GenAI, and we have no plans to” and “Conducted initial research, no plans to integrate” to “Which of the following best describes your organization’s integration of GenAI in their products?”
42% report their product team plans to leverage a hybrid approach, using both existing
GenAI models as well as developing their own.
Does your product team plan to use off-the-shelf GenAI models or plan to refine/develop their own?
n = 60
Note: May not add up to 100% due to rounding
Question: Do you have any final thoughts to share on how GenAI can improve product offerings?
GenAI is a remarkable tool, but still only a tool. It won’t solve everything. But can be useful in certain circumstances. Figuring that out is my challenge.
While there are concerns of GenAI, there are several benefits of integrating such a technology into product offerings – Faster Time to market, Create innovative user experiences, Automation, Available to customer 24/7 through chatbot, etc.
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Respondent Breakdown
