At the same time, playlists have replaced albums as the primary mode
of discovery. Instead of engaging with a cohesive body of work, listeners encounter individual tracks placed alongside others with a similar mood, tempo, or production style. Research conducted at University of Southern California, which analyzed patterns across Billboard hits, has identified increasing uniformity in tempo ranges, harmonic structures, and production choices. This does not mean that all songs are identical, but it does indicate a trend toward convergence around what is most likely to удерживать внимание and avoid being skipped.

Within that environment, distinctiveness can become a liability. A song that deviates too far from the expected sound profile risks losing the listener’s attention, which in turn reduces its chances of being recommended by the algorithm. Over time, this creates a feedback loop in which familiarity is rewarded and deviation is quietly filtered out. From the listener’s perspective, this can produce the impression that contemporary music lacks variety, even if a wider range of sounds exists outside the most visible playlists.

There is also a parallel process happening on the listener’s side, and it plays an equally important role. Psychological research describes what is known as the “reminiscence bump,” a phenomenon in which people form especially strong emotional connections to music they encounter between the ages of roughly fifteen and twenty-five. During this period, identity is still taking shape, and experiences tend to feel more intense and memorable. Music becomes deeply associated with specific moments, relationships, and emotional states.

This effect is reinforced by the “mere exposure effect,” which suggests that repeated exposure increases preference. Songs that have been played dozens or hundreds of times over the years become deeply familiar, and that familiarity is often perceived as quality. According to reports from Nielsen Music, a significant share of streaming consumption comes from catalog music — tracks that are more than 18 months old — rather than new releases. In many cases, older music accounts for the majority of listening.

Attention patterns have also changed in ways that affect how music is experienced. Before streaming, access to music was more limited, which meant that listeners often spent more time with each album. Even songs that did not resonate immediately had the opportunity to grow through repeated listening. Today, the cost of skipping is effectively zero, and the abundance of available content encourages rapid switching. If a track does not create an immediate response, it is quickly replaced by another option.

Artists respond to this environment in predictable ways. Songs are designed to capture attention quickly, maintain a consistent mood, and avoid elements that might interrupt the listening experience. Complexity, ambiguity, and slow development — qualities that often require sustained attention — become less central, not because artists are less capable, but because those qualities are less compatible with a skip-driven system.

All of these factors contribute to the perception that new music feels less engaging than older tracks. However, it would be misleading to conclude that contemporary music is inherently less creative or less interesting. Older songs benefit from time, repetition, and emotional association. New songs exist in a context where attention is fragmented, discovery is mediated by algorithms, and structural constraints shape how music is made.

The preference for older music, then, is not simply a matter of taste. It reflects a combination of technological systems, industry incentives, and cognitive biases.
New music is not necessarily less compelling, but it is experienced under conditions that make it harder for it to become meaningful in the same way older songs have already become.