Generative artificial intelligence (AI) may be rewriting the product playbook, but it’s not writing humans out of it. Latest PYMNTS Intelligence Report “From Spark to Strategy: How Product Leaders Use Gen AI to Gain Competitive Advantagenearly all chief product officers (CPOs) are now using Gen AI, but found that the technology’s biggest impact isn’t in automation or cost savings, but in how teams ideate and design. and decide.
that subtle change, From replacing labor to redefining creativity, Changing the economics of innovation.
The study, based on a March 2025 survey of 60 U.S. product leaders with at least $1 billion in revenue each, shows near-universal adoption of generational AI across products and technologies. and service department. However, hiring patterns vary greatly depending on what a company produces.
Product and technology product leaders primarily use gen AI to accelerate early-stage creativity (concept development, prototyping). and visual design. In contrast, service companies use it to create reports and summarize insights. and Evaluate your competitors.
Across the industry, Gen AI has become the brainstorming partner teams have never had before. Fast and data-driven and don’t complainbut we still don’t have the autonomous cadre of managers we once imagined.
Main findings
- 64% of CPOs use Gen AI primarily for innovation and ideation, nearly twice the rate of CPOs. hire For production monitoring or quality control.
- 77% of CPOs using generational AI for cybersecurity say they still require human oversight, highlighting unequal confidence in the “effectiveness” of AI Independence.
- 100% of surveyed leaders rate Gen AI as effective in at least one function, from chatbots to code generation. human.
paradox of confidence
Perhaps the most important finding is the mismatch between executive enthusiasm and vigilance. All respondents said that generative AI is “effective,” but most acknowledged that AI constantly monitors humans. It turns out that efficiency doesn’t mean full automation, but may simply mean being better than before.
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This perception gap has been a hallmark of enterprise AI adoption. Gen AI can draft design briefs and highlight bugs, but the final decision still belongs to humans. The result is a hybrid workflow where humans set the context, AI executes, and both share responsibility when something goes wrong.
Despite long-standing speculation that AI will hollow out creative teams, the report reveals a more complex reality. Nearly all CPOs say Gen AI is increasing the need for workers with analytical skills, even as some day-to-day roles are shrinking. Companies that implement highly automated processes all report a reduced need for low-skilled staff. Among less automated companies, only 79% are automating.
This nuance suggests that Gen AI is reducing repetition, not talent. Companies are offloading tasks such as: Formatting data or compile Hire and even reward employees who can prompt, interpret, and even reward you as you advance your research. and Refine your AI output.
CPOs expect speed to market and maximum user experience improvements and Improve design accuracy over the next three years. Few believe it will reduce production costs. This outlook distinguishes today’s AI optimism from the efficiency drives of the past. Executives view next-generation AI as a growth catalyst, not a budget scalpel.
The underlying message of the data is that innovation remains dependent on human direction. But Gen AI is teaching leaders to think faster and iterate smarter and Challenging the very boundaries of creativity and control.
