A Quest for Virtual Authenticity
Imagine a gorgeous social
media influencer with millions
of followers. She is seated in
the most picturesque setting
surrounded by beautiful people,
and she is smiling and having
a ball while sporting the latest
smartwatch she is promoting
on TikTok.
Here’s the twist. She is not real. She is not human. She is an AI-generated image who has become a virtual influencer with millions of followers. And – she is here today. Amongst us. Take a look at Lil Miquela or Lu Do Magalu on Instagram and you get the idea. AI influencers are shaping the narrative of branding and storytelling.
The implications of this scenario
on marketing are profound. How
are these influencers being
received by different generations?
How can brands navigate this new
balance between what is authentic
and real and what is authentic
and artificial?
Virtual influencers have transitioned from quirky novelties to significant players in marketing strategies. Lil Miquela is a 19-year-old Brazilian American virtual persona created by Brud. With over 2.6 million Instagram followers and earning up to $10 million annually through brand partnerships, she is one of the most prominent examples of how AI can redefine influence. Similarly, Lu Do Magalu, developed by Brazilian retail giant Magalu, engages her 7.1 million followers with unboxing videos, product reviews and tutorials, effectively bridging the gap between brands and consumers. On the other side of the world, we have Imma, Japan’s virtual ‘It Girl.’ She is the first virtual model from Japan and one of the pioneers in virtual modelling, working with some of the biggest names in fashion like Valentino and Nike.
Virtual influencers have gained traction for several reasons. Firstly, they have scalability. As digital personas, they come without the drama a real influencer may bring and can reach multiple audiences across multiple platforms with huge efficiencies. Secondly, they offer consistency and control. They never make mistakes in their messaging and brands can maintain absolute alignment with their marketing objectives without the unpredictability of real-life controversies. Thirdly, they provide creative flexibility; they can embody any aesthetic or narrative, enabling unique, innovative campaigns.
Although the emergence of AI influencers marks a paradigm shift, maximising their potential requires understanding how different generations respond to them. Interestingly, the leading AI influencers originate from countries like Brazil and India, where sizable segments of society are underprivileged and may be more vulnerable. Take a look at Kyra, India’s first AI influencer, who has gained popularity by fusing relatability with aspirational aesthetics, further supporting the notion that such personas can enthral audiences from varied socio-economic backgrounds.
1. Generational Reactions
Gen X: The Sceptics (Born 1965-1980)
Raised in an analogue
world, Gen X is the most sceptical
about AI influencers. Authenticity
is paramount and they are likely
to view virtual influencers as
gimmicky or inauthentic. They value
deeper, long-form content and
real-life narratives, making AI-driven
marketing a tough sell. However,
when positioned thoughtfully –
perhaps through storytelling that
highlights the technology behind AI
influencers – brands could spark
curiosity rather than scepticism.
Millennials: The Transitionals (1981-1996)
Millennials straddle
the line between nostalgia for
authenticity and excitement
for futurism. They are open to
technological advancement but
remain cautious about overt
artificiality. AI influencers could
resonate with them if they embody
relatable values and interests.
For example, a virtual influencer
partnering with a sustainable
fashion brand could strike a chord
with Millennials’ environmental
consciousness. Still, this
generation demands a balance –
they want innovation without losing
the human touch.
Gen Z: The Adopters (1997-2012)
Gen Z is a digital native. They live
in a world where the lines between
reality and virtuality are so fine that
they are barely visible. They are open
to the new concepts technology
brings, including those of quirky AI
influencers. They thrive on short-form
content, making them prime targets
for AI-driven content. But to win them
over, you need a deeply embedded
and integrated storyline of a character
that aligns with their culture.
Gen Alpha: The Immersed
(2013-present)
For Gen Alpha,
growing up in a world saturated
with AR, VR and gaming, AI
influencers are the norm. They
interact with virtual characters in
games and digital spaces daily,
making them highly receptive to AI personas. Brands targeting
them can explore AI-driven gaming
influencers, leveraging their
immersive digital habits to drive
engagement and loyalty.
2. The AI Characteristics, Possibilities and Risks
The way AI influencers
are created and portrayed determines
their level of success. Although
they bring a set of challenges, the
opportunities they bring are countless.
Success here depends on: One,
relatability; AI characters are more
interesting when they have flaws,
humour and a hint of imperfection.
Two, diversity; brands need to give
priority to personalities to prevent a
monoculture of sameness. Three,
storytelling; even if AI influencers are
not human, they can feel genuine if
narratives reflect the values and goals
of the target audience.
In terms of risk, consider
authenticity. The increase in AI
influencers raises the possibility
of homogenisation. Algorithms
amplify sameness, serving similar
personas to specific demographics
and narrowing their worldviews.
Also, consider trust. If audiences
believe they are being tricked, an
overreliance on AI identities may
damage trust. Companies need to
tread a careful balance between
making sure their virtual influencers
are unique, interesting and ethical.
3. Industry Applications
AI influencers offer opportunities
across industries, but their
application must be tailored to
resonate with specific audiences.
Luxury
Luxury marketing
hinges on heritage, craftsmanship
and authenticity. Integrating AI
influencers in this space poses
challenges. Can a digital persona
convey the rich history of a luxury
brand? To succeed, AI influencers
must embody sophistication and
exclusivity while aligning with the
brand’s core values.
Gaming
Gaming is a natural fit
for AI influencers. Virtual gamers can
seamlessly blend into Gen Alpha’s
digital ecosystem through immersive
content. For example, an AI gaming
influencer could partner with a brand
to promote a new title, creating buzz
and driving downloads.
FMCG and Fashion
FMCG and fashion brands can leverage
AI influencers to disrupt traditional
narratives. Data suggests that
consumers (particularly Gen Z and
Gen Alpha) are more likely to engage
with influencers who align with their
values. A study by the Influencer
Marketing Hub found that 63% of
Gen Z prefer influencers promoting
relatable, everyday products. Virtual
influencers can deliver this by
embodying aspirational personas
tailored to specific audience segments.
However, overuse or poor execution
could alienate older generations,
emphasising the need for balance.
Sports and Music
AI influencers
present challenges in sports and
in music. In sports, AI influencers
could overshadow authentic
stories of struggle, determination
and triumph that make athletes
relatable. Virtual athletes might
monopolise sponsorship deals and
media attention, side-lining real
athletes. In music, AI-generated
performers could produce songs
that cater to consumer preferences,
but at the cost of overshadowing
genuine artistic expression. This
could discourage emerging artists
who rely on personal experiences
and cultural contexts to create
meaningful work. The risk is a
world where creativity becomes
algorithmically optimised, stripping
away the imperfections and
individuality that make art special.
4. Ethical and Psychological Implications
Brands must
disclose when they use AI
influencers (transparency). The
line between marketing and
manipulation blurs when audiences
can’t distinguish real from virtual
(deception). AI influencers
could alter how people perceive
themselves and others, especially
if they set unattainable standards of
beauty or success (psychological).
5. Erosion of Critical Thinking
Algorithms prioritise content
that reinforces user preferences,
narrowing perspectives and
reducing exposure to other ideas.
This is of particular concern for
younger audiences (Gen Alpha)
whose cognitive and social
development may be shaped by
one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
Raised in an analogue world, Gen X is the most sceptical about AI influencers. Authenticity is paramount and they are likely to view virtual influencers as gimmicky or inauthentic. They value deeper, long-form content and real-life narratives, making AI-driven marketing a tough sell. However, when positioned thoughtfully – perhaps through storytelling that highlights the technology behind AI influencers – brands could spark curiosity rather than scepticism.
Millennials straddle the line between nostalgia for authenticity and excitement for futurism. They are open to technological advancement but remain cautious about overt artificiality. AI influencers could resonate with them if they embody relatable values and interests. For example, a virtual influencer partnering with a sustainable fashion brand could strike a chord with Millennials’ environmental consciousness. Still, this generation demands a balance – they want innovation without losing the human touch.
Gen Z is a digital native. They live in a world where the lines between reality and virtuality are so fine that they are barely visible. They are open to the new concepts technology brings, including those of quirky AI influencers. They thrive on short-form content, making them prime targets for AI-driven content. But to win them over, you need a deeply embedded and integrated storyline of a character that aligns with their culture.
For Gen Alpha, growing up in a world saturated with AR, VR and gaming, AI influencers are the norm. They interact with virtual characters in games and digital spaces daily, making them highly receptive to AI personas. Brands targeting them can explore AI-driven gaming influencers, leveraging their immersive digital habits to drive engagement and loyalty.
2. The AI Characteristics, Possibilities and Risks
The way AI influencers
are created and portrayed determines
their level of success. Although
they bring a set of challenges, the
opportunities they bring are countless.
Success here depends on: One,
relatability; AI characters are more
interesting when they have flaws,
humour and a hint of imperfection.
Two, diversity; brands need to give
priority to personalities to prevent a
monoculture of sameness. Three,
storytelling; even if AI influencers are
not human, they can feel genuine if
narratives reflect the values and goals
of the target audience.
In terms of risk, consider
authenticity. The increase in AI
influencers raises the possibility
of homogenisation. Algorithms
amplify sameness, serving similar
personas to specific demographics
and narrowing their worldviews.
Also, consider trust. If audiences
believe they are being tricked, an
overreliance on AI identities may
damage trust. Companies need to
tread a careful balance between
making sure their virtual influencers
are unique, interesting and ethical.
3. Industry Applications
AI influencers offer opportunities
across industries, but their
application must be tailored to
resonate with specific audiences.
Luxury
Luxury marketing
hinges on heritage, craftsmanship
and authenticity. Integrating AI
influencers in this space poses
challenges. Can a digital persona
convey the rich history of a luxury
brand? To succeed, AI influencers
must embody sophistication and
exclusivity while aligning with the
brand’s core values.
Gaming
Gaming is a natural fit
for AI influencers. Virtual gamers can
seamlessly blend into Gen Alpha’s
digital ecosystem through immersive
content. For example, an AI gaming
influencer could partner with a brand
to promote a new title, creating buzz
and driving downloads.
FMCG and Fashion
FMCG and fashion brands can leverage
AI influencers to disrupt traditional
narratives. Data suggests that
consumers (particularly Gen Z and
Gen Alpha) are more likely to engage
with influencers who align with their
values. A study by the Influencer
Marketing Hub found that 63% of
Gen Z prefer influencers promoting
relatable, everyday products. Virtual
influencers can deliver this by
embodying aspirational personas
tailored to specific audience segments.
However, overuse or poor execution
could alienate older generations,
emphasising the need for balance.
Sports and Music
AI influencers
present challenges in sports and
in music. In sports, AI influencers
could overshadow authentic
stories of struggle, determination
and triumph that make athletes
relatable. Virtual athletes might
monopolise sponsorship deals and
media attention, side-lining real
athletes. In music, AI-generated
performers could produce songs
that cater to consumer preferences,
but at the cost of overshadowing
genuine artistic expression. This
could discourage emerging artists
who rely on personal experiences
and cultural contexts to create
meaningful work. The risk is a
world where creativity becomes
algorithmically optimised, stripping
away the imperfections and
individuality that make art special.
4. Ethical and Psychological Implications
Brands must
disclose when they use AI
influencers (transparency). The
line between marketing and
manipulation blurs when audiences
can’t distinguish real from virtual
(deception). AI influencers
could alter how people perceive
themselves and others, especially
if they set unattainable standards of
beauty or success (psychological).
5. Erosion of Critical Thinking
Algorithms prioritise content
that reinforces user preferences,
narrowing perspectives and
reducing exposure to other ideas.
This is of particular concern for
younger audiences (Gen Alpha)
whose cognitive and social
development may be shaped by
one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
The way AI influencers are created and portrayed determines their level of success. Although they bring a set of challenges, the opportunities they bring are countless. Success here depends on: One, relatability; AI characters are more interesting when they have flaws, humour and a hint of imperfection. Two, diversity; brands need to give priority to personalities to prevent a monoculture of sameness. Three, storytelling; even if AI influencers are not human, they can feel genuine if narratives reflect the values and goals of the target audience.
In terms of risk, consider authenticity. The increase in AI influencers raises the possibility of homogenisation. Algorithms amplify sameness, serving similar personas to specific demographics and narrowing their worldviews. Also, consider trust. If audiences believe they are being tricked, an overreliance on AI identities may damage trust. Companies need to tread a careful balance between making sure their virtual influencers are unique, interesting and ethical.
3. Industry Applications
AI influencers offer opportunities
across industries, but their
application must be tailored to
resonate with specific audiences.
Luxury
Luxury marketing
hinges on heritage, craftsmanship
and authenticity. Integrating AI
influencers in this space poses
challenges. Can a digital persona
convey the rich history of a luxury
brand? To succeed, AI influencers
must embody sophistication and
exclusivity while aligning with the
brand’s core values.
Gaming
Gaming is a natural fit
for AI influencers. Virtual gamers can
seamlessly blend into Gen Alpha’s
digital ecosystem through immersive
content. For example, an AI gaming
influencer could partner with a brand
to promote a new title, creating buzz
and driving downloads.
FMCG and Fashion
FMCG and fashion brands can leverage
AI influencers to disrupt traditional
narratives. Data suggests that
consumers (particularly Gen Z and
Gen Alpha) are more likely to engage
with influencers who align with their
values. A study by the Influencer
Marketing Hub found that 63% of
Gen Z prefer influencers promoting
relatable, everyday products. Virtual
influencers can deliver this by
embodying aspirational personas
tailored to specific audience segments.
However, overuse or poor execution
could alienate older generations,
emphasising the need for balance.
Sports and Music
AI influencers
present challenges in sports and
in music. In sports, AI influencers
could overshadow authentic
stories of struggle, determination
and triumph that make athletes
relatable. Virtual athletes might
monopolise sponsorship deals and
media attention, side-lining real
athletes. In music, AI-generated
performers could produce songs
that cater to consumer preferences,
but at the cost of overshadowing
genuine artistic expression. This
could discourage emerging artists
who rely on personal experiences
and cultural contexts to create
meaningful work. The risk is a
world where creativity becomes
algorithmically optimised, stripping
away the imperfections and
individuality that make art special.
4. Ethical and Psychological Implications
Brands must
disclose when they use AI
influencers (transparency). The
line between marketing and
manipulation blurs when audiences
can’t distinguish real from virtual
(deception). AI influencers
could alter how people perceive
themselves and others, especially
if they set unattainable standards of
beauty or success (psychological).
5. Erosion of Critical Thinking
Algorithms prioritise content
that reinforces user preferences,
narrowing perspectives and
reducing exposure to other ideas.
This is of particular concern for
younger audiences (Gen Alpha)
whose cognitive and social
development may be shaped by
one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
AI influencers offer opportunities across industries, but their application must be tailored to resonate with specific audiences.
Luxury marketing hinges on heritage, craftsmanship and authenticity. Integrating AI influencers in this space poses challenges. Can a digital persona convey the rich history of a luxury brand? To succeed, AI influencers must embody sophistication and exclusivity while aligning with the brand’s core values.
Gaming is a natural fit for AI influencers. Virtual gamers can seamlessly blend into Gen Alpha’s digital ecosystem through immersive content. For example, an AI gaming influencer could partner with a brand to promote a new title, creating buzz and driving downloads.
FMCG and fashion brands can leverage AI influencers to disrupt traditional narratives. Data suggests that consumers (particularly Gen Z and Gen Alpha) are more likely to engage with influencers who align with their values. A study by the Influencer Marketing Hub found that 63% of Gen Z prefer influencers promoting relatable, everyday products. Virtual influencers can deliver this by embodying aspirational personas tailored to specific audience segments. However, overuse or poor execution could alienate older generations, emphasising the need for balance.
AI influencers present challenges in sports and in music. In sports, AI influencers could overshadow authentic stories of struggle, determination and triumph that make athletes relatable. Virtual athletes might monopolise sponsorship deals and media attention, side-lining real athletes. In music, AI-generated performers could produce songs that cater to consumer preferences, but at the cost of overshadowing genuine artistic expression. This could discourage emerging artists who rely on personal experiences and cultural contexts to create meaningful work. The risk is a world where creativity becomes algorithmically optimised, stripping away the imperfections and individuality that make art special.
4. Ethical and Psychological Implications
Brands must
disclose when they use AI
influencers (transparency). The
line between marketing and
manipulation blurs when audiences
can’t distinguish real from virtual
(deception). AI influencers
could alter how people perceive
themselves and others, especially
if they set unattainable standards of
beauty or success (psychological).
5. Erosion of Critical Thinking
Algorithms prioritise content
that reinforces user preferences,
narrowing perspectives and
reducing exposure to other ideas.
This is of particular concern for
younger audiences (Gen Alpha)
whose cognitive and social
development may be shaped by
one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
Brands must disclose when they use AI influencers (transparency). The line between marketing and manipulation blurs when audiences can’t distinguish real from virtual (deception). AI influencers could alter how people perceive themselves and others, especially if they set unattainable standards of beauty or success (psychological).
5. Erosion of Critical Thinking
Algorithms prioritise content
that reinforces user preferences,
narrowing perspectives and
reducing exposure to other ideas.
This is of particular concern for
younger audiences (Gen Alpha)
whose cognitive and social
development may be shaped by
one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
Algorithms prioritise content that reinforces user preferences, narrowing perspectives and reducing exposure to other ideas. This is of particular concern for younger audiences (Gen Alpha) whose cognitive and social development may be shaped by one-dimensional narratives.
6. Manipulation at Scale
AI personas can be scaled
infinitely and hyper-optimised to
exploit psychological triggers, raising
the risk of large-scale manipulation
among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
AI personas can be scaled infinitely and hyper-optimised to exploit psychological triggers, raising the risk of large-scale manipulation among impressionable audiences.
7. AI Bias and Inclusivity
Algorithms often mirror societal
biases in the data used to train
them. In this respect, AI influencers
could perpetuate stereotypes
or exclude underrepresented
groups. To tackle this, brands must
invest in diverse datasets and
continuously audit their AI tools,
a process that is both resource
intensive and complex.
Brands will struggle to strike a
balance in a world where authenticity
is both a paradox and a demand.
How they do it will determine the
direction of branding in the future. Are
we prepared to manage the dangers
and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
Algorithms often mirror societal biases in the data used to train them. In this respect, AI influencers could perpetuate stereotypes or exclude underrepresented groups. To tackle this, brands must invest in diverse datasets and continuously audit their AI tools, a process that is both resource intensive and complex.
Brands will struggle to strike a balance in a world where authenticity is both a paradox and a demand. How they do it will determine the direction of branding in the future. Are we prepared to manage the dangers and welcome the opportunities?
Faizan Syed is Founder and CEO, East River.
faizan@eastriverdigital.com
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