Elizabeth Long Lingo’s fly-on-the-wall observations of people at work in the music studios of Nashville have yielded insights into leading innovation and the intricacies of negotiation in entrepreneurial settings.
But there’s another surprising lesson from Long Lingo’s research in the rooms where music is made: Digital technologies designed to supercharge productivity can actually threaten creativity.
In a paper published in 2024 in the business and management journal Administrative Science Quarterly, Long Lingo and co-author Hille C. Bruns of Vrije Universiteit Amsterdam reported that digitalization and an explosion of data in two very different fields—music production and systems biology cancer research—posed a risk to the creativity of workers if not managed correctly.
“Digitalization has made it possible for music producers to record multiple versions of songs and for labs to rapidly screen thousands of biological samples,” says Long Lingo, an associate professor in The Business School. “That wealth of data can positively impact creativity by inspiring new ideas that lead to novel outcomes. Yet managing the repetitive, detailed, and expertise-based work generated by digitalization can also drain workers’ energy, harm their mental focus, and even hijack creativity.”
The research offers an alternative view of digital technologies at a time when rapidly evolving artificial intelligence (AI) technologies are being marketed as low-cost tools with unlimited potential to generate and refine the creative work traditionally done by humans.
Long Lingo and Bruns, who met at a conference and recognized parallels in their research, based their findings on years of observation in workplaces where new technologies were changing the rhythm of creativity in both the arts and sciences. Long Lingo spent seven years studying the music production industry as digital technologies expanded opportunities to record, isolate, and micro-edit music. Bruns spent a year and a half in U.S. systems biology labs at two universities and a pharmaceutical company as high-throughput technologies such as gene sequencing and mass spectrometry enabled scientists to more precisely analyze bigger and bigger datasets in the hunt for answers about cancer.