From Tool to Co-Creator

Dries Faems - July 31, 2025

Generative AI (GenAI) has recently been the subject of heated public debate: Will it change the working environment as we know it? Will it ultimately cost numerous white-collar workers their jobs? And how can the workers of today adapt to the workspace of tomorrow? At this point in time, the only thing that is clear that GenAI is no shiny new toy, nor is it merely a simple tool. It is powerful technology that is transforming the core logic behind innovation—and how it comes about at today’s companies. By automating, augmenting, and even independently executing innovation-related tasks, such as generating product concepts, writing code, designing marketing materials, and conducting market analysis, GenAI allows companies to operate at unprecedented speed, scale, and with a high level of creativity. “The Innovators Guide to AI,” published by Accenture in collaboration with WHU – Otto Beisheim School of Management, notes that the impact of GenAI comes in three fundamental waves, each marking a deeper level of transformation: efficiency, effectiveness, and autonomous systems.

Wave 1: Efficiency – Doing more, faster

The first and most immediate impact of GenAI is productivity enhancement. GenAI eliminates bottlenecks by automating routine, time-consuming tasks, such as idea generation, market research, prototyping, and coding. What once took weeks now takes only minutes, thereby reducing a product’s time-to-market and freeing human innovators to focus on higher-value activities, such as strategic framing and making judgment calls.

For example, in the earliest stages of innovation, GenAI can instantly synthesize trends, generate draft concepts, and identify novel trends, eliminating the need for time-intensive desktop research. Later, during development, GenAI can propose code and generate prototypes. And after product launch, it can analyze user feedback in real time, accelerating iterative improvements.

GenAI also democratizes innovation by equipping non-specialists, such as marketers and customer service employees, with tools to actively participate in the innovation process, thereby breaking down the barriers between creative and analytical roles.

Wave 2: Effectiveness – Doing things better

The second wave revolves around quality and impact. GenAI acts as a cognitive enhancer, improving decision-making and augmenting human creativity by providing data-driven insights and eliminating cognitive bias.

This includes

• deeper personalization through large-scale data analysis,
• smarter R&D via data analysis of market trends, and
• expanded ideation by surfacing ideas that go beyond the scope of individual or team-based thinking.

One key strength of GenAI in this phase is its ability to mitigate human bias. While human decisions are often shaped by intuition and habit, AI can analyze vast datasets without getting emotionally involved, revealing hidden patterns and non-obvious solutions. As a result, corporate teams can explore new market segments or product features that a man-made analysis might overlook.

Importantly, GenAI facilitates strategic orchestration.  This technology allows those leading innovation efforts to do more than just generate solutions; it helps them frame the right problems, guide ethical boundaries, and ensure alignment with the company’s long-term goals.

Wave 3: Autonomous systems – Innovation at the speed of AI

The most advanced wave of GenAI is the emergence of agentic AI, i.e., the emergence of interconnected, self-optimizing systems that can manage the full innovation cycle independently, from market sensing to ideation, prototyping, testing, and the go-to-market phase.

These systems

• learn continuously through feedback loops;
• collaborate with other specialized AI agents (“synthetic experts”) in a modular, scalable architecture; and
• execute multiple innovation streams in parallel without man-made bottlenecks.

This opens the door to self-improving innovation engines that adapt to shifting market conditions in real time. In e-commerce, for instance, GenAI can autonomously adjust product offerings based on evolving consumer behavior. In manufacturing, it can recalibrate supply chains or production lines to reduce waste and optimize throughput.

Yet, the human innovator remains essential in defining direction, ethics, and values. Agentic AI needs intent and purpose based on human judgment to ensure the innovation efforts align both with the company’s mission and with society’s needs.

Future innovators entering the industry

A longitudinal study conducted at WHU – involving 220 students in a three-month course on entrepreneurship and innovation, held between August and November 2024 – reveals that the next generation of innovators is already deeply immersed in GenAI tools. In fact, over one-third of them use GenAI daily. Their perception of AI is pragmatic. Instead of fearing replacement, students see GenAI as a cognitive enhancer, boosting their ability to come up with new, creative ideas and solutions. While there were differing views on whether specific skills might be replaced, the majority did not believe that GenAI would fully eliminate their roles in the future. 

When engaging with business model development, 58% of participants reported greater confidence in their creative capacities after structured exposure to GenAI; nearly half said GenAI allowed for more innovative outcomes. Most notably, the students used GenAI not to replace their own creativity, but to accelerate ideation, problem synthesis, and value proposition design, traditionally the most demanding parts of innovation.

It is of note that GenAI should not replace foundational learning, i.e., students must first understand the basic principles, structure, and logic behind the innovation process before using AI tools to accelerate it. Without this grounding, there is a risk they could bypass essential stages of problem framing, customer understanding, and value creation. In other words, the power of GenAI can only be fully realized when anchored to a comprehensive understanding of the fundamentals. At the beginning of the year, WHU became the first German business school to work closely with OpenAI to encourage students to learn more about GenAI and its potential.

From tool to co-creator

Together, these three waves signal a shift in the very nature of innovation. GenAI is not merely a support tool; it is quickly evolving into a co-creator, bringing about the need for new roles, mindsets, and structures. Success will not depend solely on technological adoption, but on developing human innovators who can engage with AI and see it as a partner, thereby blending strategic thinking, creative intuition, and ethical oversight.