The Prague Post - Fans create AI-generated team songs ahead of World Cup

EUR -
AED 4.114065
AFN 72.259582
ALL 90.790621
AMD 404.158249
ANG 2.004979
AOA 1027.255243
ARS 1706.277137
AUD 1.605841
AWG 2.019222
AZN 1.908846
BAM 1.955598
BBD 2.254667
BDT 138.445698
BGN 1.95798
BHD 0.422456
BIF 3355.553362
BMD 1.120234
BND 1.430852
BOB 13.181638
BRL 5.562192
BSD 1.119484
BTN 106.219027
BWP 15.421407
BYN 3.28696
BYR 21956.591821
BZD 2.251367
CAD 1.568609
CDF 2594.46299
CHF 0.92428
CLF 0.028243
CLP 1105.065844
CNY 7.480981
CNH 7.472639
COP 3552.732992
CRC 510.847228
CUC 1.120234
CUP 26.866225
CVE 110.25361
CZK 24.330933
DJF 199.339408
DKK 7.473811
DOP 68.662907
DZD 150.487454
EGP 61.701626
ERN 16.803514
ETB 182.080891
FJD 2.506193
FKP 0.837532
GBP 0.83759
GEL 2.901844
GGP 0.837532
GHS 12.979659
GIP 0.837532
GMD 82.897735
GNF 9906.976581
GTQ 8.557116
GYD 234.45578
HKD 8.78527
HNL 30.053895
HRK 7.537165
HTG 146.714844
HUF 366.731529
IDR 20269.350965
ILS 3.478944
IMP 0.837532
INR 106.361208
IQD 1697.024692
IRR 2052689.282929
ISK 136.422562
JEP 0.837532
JMD 177.661647
JOD 0.79429
JPY 175.72038
KES 145.354984
KGS 97.962924
KHR 4573.527541
KMF 492.347215
KPW 1008.210806
KRW 1482.658115
KWD 0.348046
KYD 0.932904
KZT 508.267495
LAK 25190.397759
LBP 100245.344367
LKR 371.711601
LRD 190.860284
LSL 18.546684
LTL 3.307761
LVL 0.677619
LYD 7.169259
MAD 10.995664
MDL 20.205913
MGA 5062.477032
MKD 61.598637
MMK 2352.70217
MNT 4032.758987
MOP 9.043866
MRU 44.738378
MUR 52.830672
MVR 17.319246
MWK 1941.099479
MXN 20.912986
MYR 4.576498
MZN 71.587148
NAD 18.546684
NGN 1492.219693
NIO 41.195744
NOK 10.482469
NPR 169.950444
NZD 1.961367
OMR 0.429016
PAB 1.119384
PEN 3.844503
PGK 5.013482
PHP 71.267107
PKR 309.775499
PLN 4.40251
PYG 6474.331183
QAR 4.080578
RON 5.3545
RSD 117.487863
RUB 89.990404
RWF 1653.929144
SAR 4.204519
SBD 9.045421
SCR 15.663382
SDG 673.825035
SEK 11.125947
SGD 1.430432
SHP 0.837151
SLE 25.709792
SLL 23490.757589
SOS 639.733914
SRD 42.152218
STD 23186.587781
STN 24.497469
SVC 9.794988
SYP 14565.285711
SZL 18.546084
THB 37.830725
TJS 10.315634
TMT 3.932022
TND 3.342755
TOP 2.697255
TRY 55.679905
TTD 7.606214
TWD 36.503734
TZS 2963.693842
UAH 50.679165
UGX 4931.490563
USD 1.120234
UYU 44.895362
UZS 13396.616091
VES 985.569686
VND 28949.654292
VUV 133.391269
WST 3.100456
XAF 655.957
XAG 0.020782
XAU 0.000280356799
XCD 3.02749
XCG 2.017492
XDR 0.792064
XOF 655.957
XPF 119.331742
YER 264.491333
ZAR 18.566461
ZMK 10083.456786
ZMW 22.506675
ZWL 360.71498
SSP 6436.51929
MXV 2.360302
  • BCC

    -0.5500

    77.74

    -0.71%

  • RELX

    -0.0800

    40.54

    -0.2%

  • BCE

    -0.4100

    20.4

    -2.01%

  • NGG

    -0.7800

    81.86

    -0.95%

  • RIO

    -0.7200

    83.42

    -0.86%

  • BTI

    -0.9900

    59.48

    -1.66%

  • RBGPF

    2.6200

    72.77

    +3.6%

  • CMSC

    0.0000

    19.6

    0%

  • GSK

    -0.4600

    50.75

    -0.91%

  • JRI

    0.0700

    10.75

    +0.65%

  • VOD

    -0.3800

    15.74

    -2.41%

  • AZN

    -1.0800

    171.49

    -0.63%

  • RYCEF

    -1.7500

    15.26

    -11.47%

  • BP

    1.2700

    51.32

    +2.47%

  • CMSD

    0.1800

    19.78

    +0.91%

Fans create AI-generated team songs ahead of World Cup
Fans create AI-generated team songs ahead of World Cup / Photo: CHARLY TRIBALLEAU - AFP

Fans create AI-generated team songs ahead of World Cup

World Cup fans are wielding artificial intelligence to mass-produce viral songs supporting their teams ahead of next month's tournament.

Text size:

As the fan-made football anthems are raking in millions of plays across YouTube, TikTok and Instagram, experts say that the viral tunes raise questions about song ownership, artist compensation and the valuation of human creativity.

But many users do not appear to mind, with some even showing a preference for the AI-generated songs over an official anthem football's world governing body FIFA commissioned from musicians Jelly Roll and Carin Leon.

A highly-anticipated World Cup track from Shakira was also released last week, but the fad of AI fan songs was still drumming up excitement on social media for the tournament taking place in cities across the United States, Canada and Mexico in June and July.

The trend appears to have started with a song dedicated to the French team, "Imbattables," released in February by artist Crystalo, who is listed on Spotify as France's "premier AI musical creator." The song begins with a call-and-response listing the names of Kylian Mbappe and other star French national players.

A Brazilian anthem followed with a similar name-chanting format and a trending phonk melody that producer Guilherme Maia, who goes by the artist name M4IA, said he created by layering together different elements he had put together with the help of AI.

Tracks for top sides Portugal, Argentina and Germany, as well as many others, soon sprang up across platforms, garnering more praise from fans.

But while the Brazilian version closely resembled the French prototype, the later songs copied Maia's format exactly. Each recycled the phonk beat and listed players' names before calling for respect for the squad's "king" -- a feature reserved for the likes of Cristiano Ronaldo in the Portugal tune or Lionel Messi in Argentina's version.

"What I see happening now is more about people following a trend or trying to recreate a feeling," Maia told AFP, saying that artistic emulation has always existed in music.

While he was enthusiastic about the possibilities AI opened up for production, he acknowledged that the technology raises new questions about authorship and copyright.

"In music, there are clear rules. You can't just copy someone else's work or use samples without permission, even if AI is involved."

- Lack of credit -

Maia stressed that he built the track on his own and used AI as an assistant when creating certain elements, rather than asking a music generation tool like Suno to create a song with one prompt.

But, Jason Palamara, an assistant professor of music technology at Indiana University, said that with the way the models exist, there is a lack of clarity over how artists are credited if their copyrighted work is used to train them.

"It had to come from somewhere," he said.

The inconsistencies that can appear in the AI-generated images can also pop up in music created with the technology.

For example, a fan-made World Cup song for Portugal was sung with a Brazilian accent, while a Colombian version read James Rodriguez's first name with an English rather than Spanish pronunciation.

Music created with AI can also lack complexity, Palamara said.

"It's one compact product, rather than a product where there's multiple tracks that have gone into it, where it has more texture."

Still, Morgan Hayduk, co-CEO of music rights software company Beatdapp, said that listeners enjoying the World Cup fan songs may not be seeking artistic complexity.

"There seems to be a cohort of people who actually don't care," Hayduk observed. "They like the music, and they like the back story that it came from a large language model and not a songwriter or a group."

He said that despite concerns over how the industry will adapt to AI, quick-fix songs that can be chanted by fans or featured in advertisements are a clear use-case for AI-generated music in its current stage.

"Knowing what goes into a generative output, like a World Cup fan song, is the thorny Rubicon that the music industry has to cross now."

B.Barton--TPP