For NVIDIA's headquarters, Gensler went beyond traditional design by using the client's own AI technology in the creative process. This co-design approach allowed them to optimize everything from walking distances to natural light, creating a physical space that is a true embodiment of NVIDIA's technological identity.

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AI won't replace designers because it lacks taste and subjective opinion. Instead, as AI gets better at generating highly opinionated (though not perfect) designs, it will serve as a powerful exploration tool. This plants more flags in the option space, allowing human designers to react, curate, and push the most promising directions further, amplifying their strategic role.

Gensler intentionally avoids a singular design style. Instead, they operate as a "constellation of stars," empowering diverse designers with a shared purpose—enhancing human experience—rather than a top-down aesthetic. This flexibility is key to their ability to serve a vast range of clients and scale globally.

Don't just sprinkle AI features onto your existing product ('AI at the edge'). Transformative companies rethink workflows and shrink their old codebase, making the LLM a core part of the solution. This is about re-architecting the solution from the ground up, not just enhancing it.

Architecture giant Gensler implements a co-leadership model not just at the CEO level but throughout the firm. This structure thrives by pairing leaders with complementary skills ("aces and spaces") and is built on a foundation of deep trust, allowing partners to defer to one another's judgment in disagreements.

Nick Pattison's firm creates generative tools for clients, enabling them to produce on-brand assets like geometric patterns themselves. This innovative handoff empowers clients to scale their brand system instantly and playfully, moving beyond static guidelines.

NVIDIA's complex Blackwell chip transition requires rapid, large-scale deployment to work out bugs. XAI, known for building data centers faster than anyone, serves this role for NVIDIA. This symbiotic relationship helps NVIDIA stabilize its new platform while giving XAI first access to next-generation models.

Model architecture decisions directly impact inference performance. AI company Zyphra pre-selects target hardware and then chooses model parameters—such as a hidden dimension with many powers of two—to align with how GPUs split up workloads, maximizing efficiency from day one.

AI and cataloging tools have compressed the competitive research phase from days to minutes. This frees designers from tactical UI comparison and empowers them to focus on higher-level strategic work: crafting product narrative and system architecture, a role previously reserved for senior leadership.

Gensler's founding principle was to design buildings from the "inside out," prioritizing the user's experience and emotional response within a space over the external aesthetics. This human-centric approach, more common in software UX, dictates their entire process, from team building to client collaboration.

AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.