How AI Is Transforming Music
241 views
Jan 9, 2025
This article from indiemusicai.com examines the multifaceted impact of artificial intelligence on the music industry. AI's role in music composition, production, and distribution is explored, highlighting tools that automate tasks and personalize user experiences. The piece also addresses challenges and controversies, such as authorship concerns and potential job displacement, while ultimately suggesting that AI and human creativity can coexist and even enhance one another. The article concludes by looking at potential future applications of AI in areas such as music therapy and cultural preservation. https://indiemusicai.com/how-ai-is-transforming-music/
View Video Transcript
0:00
it seems like AI is everywhere these
0:02
days yeah I mean from like our social
0:03
media feeds to those smart home devices
0:05
everybody's got it really is but today
0:07
we're diving into ai's impact on
0:10
something that I think is a little bit
0:12
closer to home for a lot of us music
0:14
yeah so we'll be taking a deep dive into
0:16
this article from indmusic ey.com how AI
0:20
is transforming music okay and it was
0:22
published just yesterday December 30th
0:26
2024 wow so it's hot off the press it is
0:29
yeah yeah I think one of the really
0:30
interesting things about this whole Ai
0:32
and music thing is that it's not just
0:34
changing how music is produced it's
0:37
changing how we experience and consume
0:40
it like both as listeners and creators
0:42
so it's not just about the tech itself
0:44
but like Ripple effects across the
0:46
entire musical landscape I think it's
0:49
pretty crazy for sure so I think to get
0:51
us
0:52
started maybe one of the most
0:54
mindboggling aspects of this is AI
0:57
actually composing music yeah composing
0:59
music so this article mentions programs
1:01
like open Ai museet and then this aiva
1:05
artificial intelligence virtual artist
1:08
aiva yeah I've heard of that one that
1:10
are already out there doing some pretty
1:12
remarkable things yeah and the things
1:14
that they can compose is pretty crazy I
1:16
it's wild like we're talking full-blown
1:19
classical Symphonies video game
1:21
soundtracks you name it pretty much
1:24
anything you can imagine but it begs the
1:26
question like what does this mean for
1:28
the future of music like orchest music
1:31
if AI can mimic these complex
1:33
compositions yeah is this like a
1:35
challenge to our traditional ideas about
1:37
musical genius right because I mean when
1:39
we think about a composer yeah we
1:41
picture you know a person pouring their
1:43
heart and soul into the music exactly so
1:45
where does that leave us if these
1:47
algorithms can just churn out Symphonies
1:49
On Demand right like is it just a tool
1:52
like is it just a more advanced version
1:53
of the instruments that we already use
1:56
or does it actually like redefine what
1:58
it means to be a composer that's a big
2:00
question yeah it is okay so maybe AI
2:02
composers aren't quite ready to replace
2:04
Beethoven right but they're definitely
2:07
shaking things up yeah and it's not just
2:09
about composing from scratch no AI is
2:11
also becoming this studio assistant you
2:13
know it's making professional quality
2:16
music production way more accessible
2:19
absolutely like way more accessible way
2:21
more accessible than it's ever been
2:23
thing has ever been yeah there are tools
2:25
like land R land that use AI to master
2:29
cacks like unbelievably fast I've heard
2:32
of that so imagine getting a a radio
2:34
ready sound in minutes without needing
2:37
an expensive Studio or years of like
2:39
engineering experience so for
2:42
Independent Artists that's huge it's
2:44
huge I mean can you give us a little
2:45
more insight into how this Lander AI
2:48
actually works its magic yeah like
2:50
what's the tech behind it and how does
2:52
that compare to a human mastering
2:54
engineer okay so think of it this way
2:56
okay it's like landar has listened to
2:58
and analyzed thousands and thousands of
3:01
professionally mastered tracks okay so
3:03
it kind of learns to identify those
3:05
subtle Sonic characteristics that make a
3:07
track sound really polished and balanced
3:10
so then it can apply that knowledge to
3:12
new tracks it adjusts levels and
3:14
frequencies and Dynamics to just create
3:17
that final polished sound okay so it's
3:19
not just like slapping on a generic
3:20
filter no not at all it's actually
3:22
learning from real music exactly to make
3:25
Intelligent Decisions exactly that's
3:27
pretty cool yeah it is but I mean what
3:29
are the limitations like could it ever
3:32
truly replace the ear of a seasoned
3:35
human engineer I mean it's incredibly
3:38
powerful yeah but I don't think it can
3:40
capture all of the nuance and Artistic
3:42
Touch that a human ear can right a human
3:45
can bring to the table yeah exactly so
3:46
it's not about replacing humans right
3:48
it's about giving them this powerful new
3:50
tool exactly augmentation not
3:52
replacement yeah and speaking of tools
3:55
AI is also influencing how we as
3:57
listeners oh yeah discover music so you
4:00
know those personalized recommendations
4:01
we get on platforms like Spotify Apple
4:03
music all the time that's AI yeah AI is
4:06
doing its thing behind the scenes
4:08
absolutely so spotify's discover weekly
4:11
oh yeah great example it's a great
4:13
example of you know AI analyzing your
4:16
listening habits and then right and then
4:19
suggesting artists and tracks that you
4:20
might enjoy it's like your own personal
4:22
DJ it really is who knows your taste
4:25
better than you do it's kind of creepy
4:27
yeah a little bit but also kind of cool
4:29
yeah I mean it does make you wonder how
4:31
much of our music Discovery is shaped by
4:34
AI these days right you know what I mean
4:36
it's a good question like it's becoming
4:38
this big part of how we experience music
4:40
even if we don't realize it definitely
4:42
under the surface yeah yeah for sure but
4:44
wait there's more oh there's always more
4:46
AI isn't just affecting our playlists at
4:48
home yeah it's starting to infiltrate
4:51
live performances too oh yeah that's
4:52
right we're seeing these crazy AI
4:55
powered visuals and Lighting systems
4:57
yeah it's amazing that can sink with the
4:59
music in real time some of those concert
5:02
videos are insane I know it's a whoo
5:05
I've also heard about tools like endless
5:08
endless and Jambo yeah that enable
5:11
real-time collaboration and
5:12
improvisation during performances
5:15
wow so how does that work yeah like what
5:18
does that even mean yeah how do you
5:20
collaborate with a computer in real time
5:22
yeah what does real-time collaboration
5:24
mean in this context okay so imagine
5:26
like AI becoming another band member on
5:29
stage with you so it can analyze what's
5:32
being played and generate complimentary
5:35
melodies or rhythms or even harmonies
5:38
like in real time that's wild so it
5:40
responds to the musician's improvisation
5:43
wow so it's this like interactive jam
5:46
session between humans and AI That's
5:49
pretty crazy it is pretty crazy that can
5:50
either be amazing or a total train wreck
5:53
it could go either way it makes you
5:55
wonder if audiences are ready for that
5:56
yeah are we ready for robots in our
5:58
bands right yeah good question but
6:00
speaking of AI and humans working
6:03
together there's also this really
6:04
fascinating trend of AI kind of making
6:07
its way into music education oh yeah
6:10
which I think is really cool yeah that
6:12
is cool so like platforms like yici USIC
6:15
smart music are using AI to provide
6:18
realtime feedback yeah on your playing
6:21
so cool so imagine like learning an
6:25
instrument at your own pace with this
6:27
virtual teacher that can actually assess
6:31
your Technique and offer personalized
6:34
guidance it's like having a teacher in
6:35
your pocket all the time I think that's
6:37
really cool yeah so that could be a game
6:39
changer especially for people who maybe
6:41
don't have access to traditional music
6:43
lessons totally or who learn best in a
6:45
self-directed environment exactly that's
6:47
really cool it is so AI isn't just
6:50
changing how music is created and
6:52
consumed it's changing how we learn and
6:55
teach it it's affecting all aspects of
6:57
the musical world all aspects of music
6:59
yeah but I think with all this
7:00
Innovation yeah we kind of have to
7:02
address the elephant in the room oh yeah
7:05
for sure like what about the less
7:06
glamorous side of this AI Music
7:09
Revolution right like what are the
7:10
downsides yeah I mean we can't just
7:12
ignore the concerns around all of this
7:14
right what are the downsides yeah what
7:15
are the downsides all of this so one of
7:17
the big ones that this article brought
7:18
up is this whole question of authorship
7:21
oh yeah and copyright huge if AI is
7:24
composing the music who actually owns
7:27
the rights to it yeah it's kind of a
7:29
legal gray area it is a gray area
7:31
because all of our laws around copyright
7:33
were written right with human creators
7:36
in mind exactly so how do we apply those
7:38
same rules right to an algorithm yeah
7:40
that's something the music industry is
7:41
definitely grappling with yeah for sure
7:43
big time it's a complex issue yeah and
7:45
there's no easy answers and it leads to
7:47
even bigger questions okay about how we
7:50
value art and creativity in a world
7:53
where machines can just generate it like
7:55
that right because some people would
7:58
argue that AI generated music while it
8:01
can be technically impressive sure might
8:03
lack that emotional depth that human
8:06
touch yeah yeah like is it even possible
8:08
for an algorithm to truly capture those
8:11
nuances can a computer feel sad right
8:14
can it feel happy like all of those
8:16
human emotions and experiences that go
8:18
into creating music that's a debate I
8:21
think that's going to go on for a very
8:22
long time yeah but you know it's
8:24
interesting to consider the other side
8:26
of that coin too some people argue that
8:28
AI could potentially evoke emotions okay
8:31
in ways that humans can't even okay I'm
8:34
listening so imagine an AI composing a
8:37
piece that perfectly captures like the
8:39
feeling of grief or the joy of falling
8:42
in love I see what you mean yeah like a
8:43
fascinating thought experiment yeah so
8:46
if AI can analyze vast amounts of data
8:49
yeah about human emotion right could it
8:52
then tab into those emotions and express
8:55
them musically in a way that like really
8:59
resonates with listeners yeah and maybe
9:01
it's not about replacing human emotion
9:04
okay but like understanding it got it
9:06
and expressing it in new and unexpected
9:09
ways so it's not necessarily about
9:11
replacing humans but more about like
9:14
augmenting yeah like enhancing human
9:16
creativity and human emotion exact and
9:19
using it as a tool to explore those
9:21
things in new ways yeah I like that yeah
9:24
that's a good way to put it and let's
9:25
not forget about like the potential
9:27
impact on jobs within the music industry
9:29
oh yeah of course there's definitely a
9:31
valid fear out there that you know as AI
9:34
becomes more
9:35
sophisticated it could displace human
9:39
composers right producers musicians even
9:41
performers all kinds of jobs yeah yeah
9:43
so it's something we need to consider
9:45
but instead of viewing it as this like
9:47
flat yeah job stealing threat Terminator
9:50
coming to take our jobs right could we
9:52
look at it as like an opportunity yeah
9:54
an opportunity to
9:57
redefine roles Within the Music Industry
10:00
and even create new ones I love that
10:03
right because it's not going away no
10:05
it's here to stay so how do we work with
10:07
it right how do we adapt yeah how do we
10:09
evolve it's Evolution not Extinction
10:12
right so like instead of thinking about
10:14
AI as like replacing human jobs maybe we
10:18
think about it as augmenting human
10:21
capabilities exactly like it can help us
10:23
it's like a superpowered assistant
10:25
exactly that can handle the technical
10:27
heavy lifting yeah like let the AI do
10:29
the boring stuff right and let the
10:31
humans focus on the creative stuff the
10:33
creativity exactly and the Artistry yeah
10:36
that's really cool it is cool and I
10:38
think like on the business side of
10:40
things MH AI could totally revolutionize
10:44
how music is marketed and distributed oh
10:46
yeah for sure like imagine algorithms
10:49
that can analyze listener data oh yeah
10:52
to like identify Trends and Target
10:54
specific audiences super specific yeah
10:56
and create these like personalized
10:58
marketing campaigns yeah like it's like
11:00
having this AI powered marketing team
11:03
that's constantly working behind the
11:05
scenes that's a good way to put it to
11:06
help artists connect with their fans
11:08
yeah connect with the right fans in more
11:10
meaningful ways exactly I like that a
11:12
lot me too and then on the listener side
11:15
as we touched on earlier you know those
11:17
AI powerered recommendation engines yeah
11:20
are already changing how we discover new
11:22
music told it they're expanding our
11:24
musical Horizons beyond what we might
11:27
find on our own for sure which I think
11:29
is pretty amazing it is pretty amazing
11:31
so it's all about personalization yeah
11:33
it's about like instead of being
11:35
bombarded with this like sea of music
11:38
that we may or may not like right it's
11:40
about AI helping us navigate this vast
11:43
musical landscape yeah be our guide and
11:46
discover the artists and genres that
11:48
actually resonate with our individual
11:50
tastes I love that it's really cool it
11:53
is cool and I think what's really
11:54
exciting what is that we're only just
11:56
scratching the surface oh yeah just the
11:58
beginning of ai's potential in music
12:00
it's going to get even crazier I know so
12:02
as this technology continues to evolve
12:05
we could see AI powered tools that allow
12:08
musicians to compose in entirely new
12:10
ways like ways we can't even imagine
12:12
right now to create sounds and genres we
12:14
haven't even thought of yet yeah and
12:16
personalize music to a level we've never
12:19
seen before like that is mindblowing it
12:22
is mindblowing so I think this brings us
12:23
back to this idea that you know AI is
12:26
both a challenge and an opportunity yeah
12:28
it's a tool it is a tool that has the
12:30
potential to transform the music
12:32
industry in really profound ways
12:34
absolutely but it's up to us yeah to
12:37
guide its development right and ensure
12:39
that it's being used to enhance and
12:41
enrich yeah our relationship with music
12:44
not diminish it yeah and not you know
12:46
make it worse make it worse yeah right
12:48
we don't want that no we don't so that's
12:50
what we're doing here today we're diving
12:52
deep into this topic not to provide all
12:55
the answers right but to really spark a
12:58
conversation
12:59
get people thinking and encourage our
13:01
listeners to engage with these questions
13:04
and form their own opinions because
13:06
we're all part of this Evolution we are
13:08
and the choices that we make now yeah
13:10
both as creators and as listeners both
13:12
sides are really going to shape the
13:15
future of Music absolutely in really
13:17
profound ways so with that in mind yeah
13:20
we want to hear from you our listener
13:22
yes what are your thoughts on the impact
13:24
of AI on music yeah what excites you
13:27
about it what concerns you what scares
13:28
you we want to hear it all yeah we want
13:30
to hear your perspective so share your
13:32
thoughts with us on our website or on
13:34
social media yeah come join the
13:36
conversation so we've covered a lot of
13:39
ground in this deep dive we have you
13:41
know from AI composing these crazy
13:43
Symphonies to the potential impact on
13:47
jobs in the music industry yeah that's a
13:50
lot to think about it really is but
13:52
ultimately I think it all comes back to
13:54
this question of you know how are all
13:56
these technological advancements going
13:58
to ffect our personal connection to
14:00
music with music yeah our own personal
14:03
relationship with music right it is a
14:06
really personal question isn't it
14:07
because music is so deeply intertwined
14:11
with like our
14:13
emotions our memories our identities
14:16
even and then AI is adding this whole
14:19
other dimension to that relationship I
14:21
think even if you're not a musician you
14:23
know just as a listener right those AI
14:26
powered recommendations that we talked
14:28
about earlier mhm they're already like
14:31
subtly shaping your musical taste yeah
14:33
they are they're introducing you to new
14:35
artists that you might never found on
14:36
your
14:37
own it's true which I think is pretty
14:39
amazing it's kind of like having a
14:41
co-pilot on your musical Journey okay I
14:43
like that yeah it's like AI is becoming
14:45
this collaborator in our own personal
14:47
soundtracks I like that helping us
14:49
discover the music that really speaks to
14:51
us on a deeper level on the deepest
14:53
level yeah and then for those who do
14:55
create music yeah the possibilities are
14:59
I mean pretty mind-blowing oh yeah
15:01
imagine having these AI tools that can
15:03
help you experiment with different
15:05
sounds different styles push your
15:07
creative boundaries yeah break those
15:09
boundaries even co-write songs with you
15:11
like AI is your songwriting partner
15:13
right that's so cool so we're already
15:16
seeing early examples of this we are
15:18
with tools that can like analyze lyrics
15:21
and suggest melodies or even generate
15:23
entire song structures based on a simple
15:26
prompt it's crazy it's pretty wild it's
15:29
wild I think for people who maybe you
15:31
know don't have the technical skills or
15:34
the resources to create music
15:36
traditionally yeah to create music
15:37
traditionally AI could be incredibly
15:39
empowering yeah democratizing the
15:41
creating process totally so anyone
15:44
anyone can be a musician can be a
15:45
musician if they have the right tools
15:47
right and I think that's a really
15:48
beautiful thing it is beautiful and then
15:51
you know let's not forget about the
15:52
impact on music education oh yeah of
15:54
course AI could make learning an
15:56
instrument way more engaging law fun or
15:59
personalized more accessible more
16:00
accessible to everyone to people of all
16:03
ages and abilities it's true so it's
16:05
exciting to think about how AI could
16:08
really tailor The Learning Experience to
16:11
each individual student yeah your own
16:13
personal AI music teacher right it's
16:15
like having a tutor with you all the
16:17
time and provide that realtime feedback
16:20
and guidance yeah making learning music
16:23
more fun and more effective totally it
16:26
really feels like we're at this like
16:27
pivotal moment yeah you know these
16:30
advancements have the potential to
16:33
reshape yeah not just the music industry
16:35
but our entire relationship with music
16:37
absolutely and it's important to
16:39
remember that AI is a tool it is a tool
16:42
it's up to us yes both as creators and
16:44
as listeners to decide how we want to
16:46
use it it's in our hands we need to
16:49
approach it with curiosity yes with
16:51
creativity creativity and a deep respect
16:53
for the power of music I love that so as
16:56
we wrap up this deep dive okay we just
16:58
want to encourage you yeah to keep an
17:00
open mind stay curious stay curious and
17:03
explore this like evolving world of AI
17:06
and music it's a wild world out there it
17:09
really is so experiment with new tools
17:11
engage in these conversations about the
17:13
potential and the challenges yeah have
17:15
those tough conversations and just think
17:17
critically about how you want AI to
17:19
shape your own musical Journey your own
17:22
personal soundtrack yeah because
17:24
ultimately the future of music is being
17:25
written right now right now as we speak
17:28
and we all have a part to play in
17:30
shaping its Melody it's true so thanks
17:32
for joining us on this exploration of AI
17:35
and the future of music yeah thanks for
17:36
listening everybody until next time keep
17:38
those ears open and those Minds curious
17:41
catch you later
#Experimental & Industrial Music
#Music & Audio
#Music Equipment & Technology
#Music Streams & Downloads
#Other
#Vocals & Show Tunes