Yasmin Weiß saves three hours every workday by using AI tools—time she allocates to increased output, skill development, and personal life, a routine she says benefits both her and her employer.
Yet in workshops at Munich’s Media Lab Innovation Festival this spring, many media professionals reported the opposite experience: rather than relief, they felt work intensify as AI handled routine tasks while expectations for project volume remained unchanged or rose.
The central tension—who captures the gains from AI-driven efficiency—was echoed by philosophers and economists warning that without deliberate redistribution, technological progress may enrich systems while leaving workers behind, much like during industrialization.
AI saves time but shifts the burden of proof onto users
Silke Looden observes that while AI simplifies internet research, its convenience erodes personal competence, as users grow reliant on algorithmic summaries and skip verifying sources—a habit harmless for recipe searches but perilous in political, academic, or professional contexts.
Josephine Hofmann of the Fraunhofer Institute warns that this outsourcing of cognitive work risks atrophy in core skills: reading, comprehension, evaluation, and writing—ultimately undermining the ability to generate new knowledge.
Andreas O. Loff, a KI developer interviewed by the Weser-Kurier, stressed that AI itself is not inherently harmful, but society must establish rules to prevent misuse, emphasizing that conscious engagement—not passive consumption—determines whether the technology empowers or diminishes users.
Experts call for structural negotiation over individual adaptation
Julia Inthorn, ethics professor at Munich’s Hochschule für Philosophie, cautions against fixating solely on efficiency gains, insisting the enduring ethical question of what constitutes a good life must remain central to AI integration.
She highlights overlooked externalities, such as precarious labor in the Global South used to train AI models, arguing that true assessment must extend beyond individual time savings to global supply chains.
Kate Vredenburgh of the London School of Economics draws a parallel to the Industrial Revolution, noting that while long-term societal wealth increased, immediate benefits often bypassed workers—a pattern she urges society to avoid by asking not just how we work, but how we wish to live.
All experts agree: the allocation of reclaimed time is not a technical issue but a societal one best resolved through direct negotiation between employees and employers.
Media literacy emerges as critical defense against cognitive outsourcing
Federal Family Minister Karin Prien advocates strengthening youth media competence—not merely imposing age limits on social media—but equipping young people to use AI as a sparring partner while preserving critical thinking.
This approach, endorsed by both the BR report and Weser-Kurier commentary, positions education not as resistance to AI, but as preparation for its discerning use—ensuring that efficiency serves understanding rather than replacing it.
Does AI save time or increase workload?
It depends on how efficiency gains are distributed: while some like Professor Weiß use saved time for growth and balance, many professionals report intensified workloads as AI handles routine tasks without reducing overall expectations.
Can using AI make us less capable of independent thinking?
Yes, if used passively—research shows reliance on AI-generated summaries can erode skills in reading, comprehension, and evaluation, weakening the ability to verify sources or generate original knowledge unless paired with active media literacy.
