Music in 2026: Who's releasing new albums and will Oasis play Knebworth? As the sun sets on 2025, all the year-end lists have been published and it's time to look forward to what 2026 has in store. In many ways, the last 12 months have felt transitional. With relatively few A-list releases, and a Brat-shaped hole in the summer, music seemed to split in two. The charts were agonisingly static: Just three songs held the number one spot hostage for half the year: Taylor Swift's Fate of Ophelia, Huntr/x's Golden, and Alex Warren's Ordinary (never has a song been so aptly titled).

Analysis of 20,186 songs from the Billboard Top 100 indicates that the lyrics are also more simple. Breakthroughs, discoveries, and DIY tips sent every weekday. Debating the merits of today's popular music versus the hits of the past is largely a matter of taste. But regardless of your opinion on the subject, one thing is clear: pop music is objectively darker and more stressful than ever. The compelling statistics are laid out in a study by University of Vienna psychologists recently published in the journal .

The aim of this study is to teach an algorithm how to recognize different types of music. Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it needs to figure out what makes each song unique. It does this by breaking down the songs into different parts and studying things like rhythm, melody, and tone via supervised learning because the program learns from examples that are already labelled. One important thing to consider when classifying music is its genre, which can be quite complex. To ensure accuracy, we use five different algorithms, each working independently, to analyze the songs. This helps us get a more complete understanding of each song's characteristics. Therefore, our goal is to correctly identify the genre of each submitted song. Once the analysis is done, the results are presented using a graphing tool, making it easy for users to understand and provide feedback.

Critics might complain that modern pop music is soulless and artificial - but a new'AI popstar' takes that to a whole new level. Anna Indiana, a self-described AI singer-songwriter, has been ridiculed after releasing her first single. In a video posted to YouTube, Anna performs a pop song to a backing track of piano, guitar, and drums. Introducing itself, the AI explains: 'Everything from the key, tempo, chord progression, melody notes, rhythm, lyrics, and my image and singing, is auto-generated using AI.' However, music fans have not reacted well to the release, calling it'horrifying' and'unnerving'.

Piano covers of pop music are enjoyed by many people. However, the task of automatically generating piano covers of pop music is still understudied. This is partly due to the lack of synchronized {Pop, Piano Cover} data pairs, which made it challenging to apply the latest data-intensive deep learning-based methods. To leverage the power of the data-driven approach, we make a large amount of paired and synchronized {Pop, Piano Cover} data using an automated pipeline. In this paper, we present Pop2Piano, a Transformer network that generates piano covers given waveforms of pop music. To the best of our knowledge, this is the first model to generate a piano cover directly from pop audio without using melody and chord extraction modules. We show that Pop2Piano, trained with our dataset, is capable of producing plausible piano covers.

Air's Nicola Godin gives Kyle Meredith a call to discuss his latest solo album, Concrete and Glass, a concept record that has roots in his love for architecture. Godin speaks about the larger topics in play, working alongside Hot Chip's Alexis Taylor, and why we'll have entire AI-made music on the charts within a year. The two also explore the current trend of minimalism in pop music, his love for sensuality within his own songs, his thoughts on the 20th anniversary of The Virgin Suicides soundtrack, and his hopes to one day provide music for a sci-fi movie. Kyle Meredith With… is an interview series in which WFPK's Kyle Meredith speaks to a wide breadth of musicians. Every Monday, Wednesday, and Friday, Meredith digs deep into the artist's work to find out how the music is made and where their journey is going, from legendary artists like Robert Plant, Paul McCartney, U2 and Bryan Ferry, to the newer class of The National, St. Vincent, Arctic Monkeys, Haim, and Father John Misty.

In addition, as these tools learn from users and more advanced musicians, it will start to identify patterns that produce successful music and potential hits in the music market. At that point, these systems might create entire albums and musical productions without human assistance of any sort. Popular music has already explored manufactured music, from K-Pop to Boy Bands and has figured out many of the elements of what makes popular music tick. With the addition of AI will humans even be needed at all for music creation? Furthermore, as more people use AI tools to augment their natural ability, you need to ask if these systems are exhibiting real creativity or simply mimicking the creative ability of humans?

Being with all of you, if only virtually, is always a happy place to be. One of the albums I can't stop listening to this year is Both Directions at Once: The Lost Album. Recorded in 1963 by sublime saxophonist John Coltrane during his "classic quartet" period, the original master tapes were lost or destroyed by the Impulse! This year, the 55-year-old project was unearthed from his family's surviving reference copy. Both Directions at Once occasionally veers into the superlative--it provides a glimpse into the tension between rehearsal process and commercial artifact that informed Coltrane's music in the aftermath of his 1961 juggernaut My Favorite Things--but it's hardly the jazz musician's most transcendent work.

Last December, the world ushered in a new era of popular music: human and artificial intelligence (A.I.) collaboration. Musical eras are often defined by their dominant modes of production -- analog, electronic, digital -- each bringing about new styles and ways of listening. This era is marked by the release of the first A.I.-human collaborated album, Hello World, by the music collaborative Skygge. Skygge, led by composer and producer Benoît Carré and musician and tech researcher François Pachet, translates to "shadow" in Danish and was inspired by the Hans Christian Andersen story of the same name. We now know that algorithms can learn human bias, but can they also create highly creative and emotionally engaging music?

Last December, the world ushered in a new era of popular music: human and artificial intelligence (AI) collaboration. Musical eras are often defined by their dominant modes of production--analog, electronic, digital--each bringing about new styles and ways of listening. This era is marked by the release of the first AI-human collaborated album, Hello World, by the music collaborative Skygge. Skygge, led by composer and producer Benoît Carré and musician and tech researcher François Pachet, translates to "shadow" in Danish and was inspired by the Hans Christian Andersen story of the same name. We now know that algorithms can learn human bias, but can they also create highly creative and emotionally engaging music?