Open Research 01


’25









Why We Need Visionaries. And the Importance of a Multidisciplinary Approach in the Age of AI.





By Ryan Lawrence


05-21




















“To know is to know that you know nothing.That is the meaning of true knowledge.” — Socrates
















In the age of artificial intelligence, this kind of humility is no longer optional. It is essential. 


As AI moves from novelty to necessity in every field, the way we define expertise, creativity, and leadership is changing. It’s true. It is tempting to believe the future belongs to those who master the latest tools or specialize in a single domain.

But history and the realities of today’s challenges suggest otherwise. If anything, the rise of AI makes the need for visionaries and for multidisciplinary thinking more urgent than ever.


Innovation rarely comes from those who stay within one field. Progress is often driven by people who look across boundaries and connect ideas that do not usually meet.

The most lasting breakthroughs come from those who recognize art, science, technology, and design as parts of a larger, interconnected system.
Leonardo da Vinci moved between painting, engineering, and anatomy. His notebooks were filled with designs for flying machines, military weapons, and anatomical studies1.

His Mona Lisa, in an era of solemn portraits, offered a smile that was both peculiar and groundbreaking, inviting viewers to see humanity in a new way2. Da Vinci’s genius lay in seeing how one field could open possibilities in another.




Centuries later, Charles and Ray Eames brought this approach to the modern era. Their molded plywood chair was a breakthrough in manufacturing and material science, making mass production of organic forms possible3.

Their educational film, Powers of Ten, helped viewers zoom out from a picnic in Chicago to the edge of the universe and back into a single atom, illustrating how design, science, and perspective are always connected4.

Dieter Rams, working at Braun, elevated the idea of considered creation. His designs, such as the SK4 radio and TP1 record player, emphasized clarity, simplicity, and function5.

“Less, but better” became his guiding principle, shaping not only objects but the way we think about design’s purpose in daily life6.


Steve Jobs, inspired by both Rams and the Eameses, helped create a culture at Apple that married ambition with restraint. By bringing typography to the Macintosh, after taking a calligraphy class, he made computers personal and expressive7.

The iPod became a audiophile’s dream, with the first device to house 1,000 songs. The iPhone brought engineering, craft, and intuition together, proving that multidisciplinary collaboration can transform not just products, but the way we live8.






In 2014, Apple acquired Beats by Dre, the audio company co-founded by Dr. Dre and Jimmy Iovine. Dr. Dre exemplifies the power of combining creative disciplines. As a producer, rapper, and entrepreneur, he shaped the sound of hip hop and helped launch artists like Snoop Dogg and Eminem.

With Beats, he translated his deep understanding of music into product design. The headphones became more than a technical achievement; they became a symbol of culture, style, sports, sound, and music.



By merging music, technology, sports, and branding, Dr. Dre helped redefine what products mean in our culture, and how we connect through music, and sound.





Nowhere is the intersection of a multidisplinary approach more evident than in the rise of generative AI. Take OpenAI’s tools like ChatGPT, DALL-E, and Sora, which let users generate language, images, and even video from simple text prompts9. These platforms were built by teams of researchers, artists, engineers, and ethicists working together to balance technology and creativity. The real breakthrough is not just in the underlying models, but in how anyone, from filmmakers to designers to educators, can collaborate with AI to explore ideas, prototype new work, and stretch their creative limits10. The prompt becomes the new paintbrush, camera, or musical instrument, allowing those who think across disciplines to harness AI as an amplifier of imagination and invention.

Of course, the rapid rise of AI brings new risks alongside new opportunities. Recent research suggests that relying too heavily on AI can lead to “cognitive atrophy,” weakened critical thinking, memory, and problem-solving skills, as humans begin to offload too much of their own creative and intellectual work to machines11.

If AI becomes just a shortcut, there is a danger that we lose the very mental muscles that make innovation and insight possible. The opportunity now belongs to us. Creativity has never been more open or more complex. We are invited, and perhaps required, to build across disciplines, blending code and craft, design and science, art and engineering. AI is not the endpoint, but another instrument.


Our role is to shape AI with intention, curiosity, and most of all care.


The work ahead will be built on balance, where structure supports exploration and human perspective guides technology to serve people, not replace them. Multidisciplinary teams, crossing fields and collaborating12 even with new forms of intelligence, can create systems that adapt, endure, and connect.

AI, in the hands of creatives, becomes more than a tool. It becomes a collaborator, amplifying what is possible. The ability to engineer a prompt, combining ideas, asking new questions, iterating with intention, lets artists, designers, and thinkers move beyond traditional limits. For those who practice across disciplines, AI is a natural extension, opening up new ground for invention and expression. But it is also a call to stay active in the process, to question, to edit, to remix, and to build practices that keep our own cognitive skills sharp.
Our world needs more than fast solutions. It needs ideas and systems that last, evolve, and enrich people’s lives. The future belongs to visionaries who move between worlds understanding the balance modularity and simplicity. And who see the positives in partnering with both human and machine13, without losing sight of what makes us human in the first place.











SOURCE MATERIAL



1. British Library. "Leonardo da Vinci Notebook." https://imagesonline.bl.uk/asset/4200

2. Jason Daley. "So Is ‘Mona Lisa’ Smiling? A New Study Says Yes" Smithsonian Magazine, Mar. 2017, https://www.smithsonianmag.com/smart-news/is-the-mona-lisa-smiling-new-study-180962580/

3.Museum of Modern Art. "Eames Molded Plywood Chair." https://www.moma.org/collection/works/1971

4. Eames Office. "Powers of Ten." www.eamesoffice.com/the-work/powers-of-ten

5. Vitsoe. "About Dieter Rams." www.vitsoe.com/gb/about/dieter-rams

6. Vitsoe. "Good Design." www.vitsoe.com/gb/about/good-design

7. Jobs, Steve. “Stanford Commencement Address, 2005.” Stanford University, 14 June 2005, news.stanford.edu/2005/06/14/jobs-061505



8. Spector, Joseph. "How Steve Jobs Changed the World." Business Insider, 6 Oct. 2011, Business Insider Article Archived


9. Emma Roth, Kylie Robison, and Richard Lawler "OpenAI has finally released Sora" The Verge, 9 Dec. 2024, https://www.theverge.com/2024/12/9/24317092/


10. Interaction Design Foundation - IxDF. “What is AI-Generated Art?” Interaction Design Foundation - IxDF. 22 May. 2025 https://www.interaction-design.org/literature/topics/ai-generated-art


11. Cox, Joseph. “Microsoft Study Finds AI Makes Human Cognition ‘Atrophied’ and Unprepared.” 404 Media, 17 May 2024. www.404media.co/microsoft-study-finds-ai-makes-human-cognition-atrophied-and-unprepared-3/

12. Paul Leinwand, Mahadeva Matt Mani and Blair Sheppard "Reinventing Your Leadership Team" Harvard Business Review, Jan. 2022, https://hbr.org/2022/01/reinventing-your-leadership-team


13. H. James Wilson and Paul R. Daugherty "Collaborative Intelligence: Humans and AI Are Joining Forces" Harvard Business Review, July. 2018, https://hbr.org/2018/07/collaborative-intelligence-humans-and-ai-are-joining-forces





WRITTEN BY RYAN LAWRENCE

AUTHOR’S NOTE


Ryan Lawrence is a multidisciplinary art director and designer based in Los Angeles. He leads leads a design practice grounded in rhythm, modularity, and considered, human-centered design.

TRANSPARENCY & COLLABORATION NOTE


This essay was developed with the assistance of AI (more specifically with Open AI’s ChatGPT-4.1), with dozens of prompts and revisions shaping its direction and language.







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