Gensler

The Growing Gap between AI Investment and Business Impact

Despite the vast amount of investment, studies show AI integration in the private sector has yet to unleash innovation at a meaningful scale. The gap between investment and impact is growing harder to ignore. For one, employees report feeling more anxious and overwhelmed about AI than excited about it. Bosses are struggling too, as a recent PwC survey held at Davos revealed that only 12% of CEOs said AI had delivered both cost and revenue benefits. That means over 80% of firms integrating AI are struggling to see returns.

AI Adoption Requires More Than Technology

As someone who helps organizations envision how they will change and grow, I see firsthand that while many organizations jump headfirst into technology investments, they do so without a plan or understanding of how those technologies will be deployed in the physical workplace, and how they will transform the day-to-day rhythm of work for their teams. AI and design in real life and physical spaces are the key to unlocking true innovation for companies and teams. Soundproof rooms where people can work with their AI agents, meeting rooms that can incorporate a mix of people and automated tools and learning studios for experimenting with AI are some of the spaces needed for AI investments to become truly integrated.

AI is not a stand-alone solution. It represents a wholesale cultural shift that needs to work alongside redesigned workplaces, redefined workflow strategies and human expertise to become a true opportunity for innovation. Organizations harnessing AI’s transformative potential aren’t waiting for the perfect technology to be ready; they're building the scaffolding for an imperfect technology to thrive within their workplace, and they're doing it by keeping their employees and the workplaces that support them at the center of every decision.

Redefining the Employee's Role in an AI-Driven Workplace

Designing for innovation means designing for the people driving technological adoption. The most significant design challenge organizations face right now is less about embracing the technology itself and more about embracing the necessary identity shift happening around new ways of working. Employees who were hired to produce outputs like pitch decks, research briefs and first-draft models are now being asked to become managers of the AI agents doing that work. They're being asked to perform a different job than the one they were originally hired to do.

Building Workplaces that Reinforce New Ways of Working

The implications for onboarding, training and day-to-day workflow support are substantial, and employers’ focus should be on building environments that support the changes, like scenario simulation walls for group role play where employees can practice, fail safely and develop the judgment that managing AI requires.

A workplace physically anchored in AI workflows sends a signal that no memo or town hall can replicate. When a meeting room is visibly configured with additional screens, ambient microphones and group seating for AI collaboration, it tells employees that working this way isn't just allowed - it's expected. Organizations that invest in their people first, by redesigning spaces with that balance physical AI integration and  tech-free recharge zones, will be the most resilient organizations of the burgeoning AI economy.

Designing the Conditions for AI-Driven Innovation

When we approach AI integration with the same rigor we apply to workplace design, like understanding users, mapping workflows and iterating based on real feedback, we unlock what efficiency alone never can: true innovation. The tools are here. The question is whether organizations will design the environments for them to thrive.