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August 14, 2025 • 9 mins
This episode looks at an article titled "The AI Revolution: Transforming the Future of Advertising" and explains how artificial intelligence (AI) is fundamentally transforming the advertising industry. It highlights AI's role in creating highly personalized ads by analyzing individual online behavior and preferences. Furthermore, the source emphasizes increased efficiency and automation in ad creation and management, allowing marketers to make smarter, data-driven decisions through predictive analytics. While acknowledging the significant benefits, the text also addresses ethical considerations, particularly concerning data privacy, and underscores the continuing importance of human creativity and strategic thinking in conjunction with AI tools. Ultimately, the future of advertising is depicted as a collaborative effort between human ingenuity and AI capabilities. Read the full article here
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Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
All right, we've gone through the sources you sent over,

(00:02):
really dug into them.

Speaker 2 (00:03):
Yeah, that's to unpack definitely.

Speaker 1 (00:05):
So today we're doing a deep dive into something huge,
artificial intelligence and how it's hitting the advertising world.

Speaker 2 (00:12):
Right, And it's not just a buzzword, is it.

Speaker 1 (00:14):
Not at all? Forget just a new tool. This is
completely shaking things up. We're heading towards ads that are well,
super smart, like knowing what you want maybe even before
you do.

Speaker 2 (00:26):
It. Sounds futuristic, but it's happening now.

Speaker 1 (00:28):
Exactly, and that's got big implications you know, for businesses,
but also for all of us as consumers.

Speaker 2 (00:34):
Right, So our mission today is really to shed light
on how AI is making such a big difference based
on what we found in those sources. Okay, we'll look
at how it makes ads feel much more personal, how
boost sufficiency, and also critically why things like human creativity
and you know, ethical thinking are still really important.

Speaker 1 (00:55):
Good point. Okay, let's unpack this. Then. When we say
AI and advertising, what are actually talking about? What is
it doing?

Speaker 2 (01:02):
Well, fundamentally, it's about enabling computers to perform tasks that
you know usually need human intelligence.

Speaker 1 (01:09):
Like learning, making decisions.

Speaker 2 (01:11):
Exactly, things like learning decision making in ads. It means
AI systems analyze just loads of data, okay, they figure
out patterns, identify what people might want, and automate a
lot of marketing tasks.

Speaker 1 (01:25):
And it learns as it goes, right, That's key.

Speaker 2 (01:27):
That's the really powerful part. It gets better over time
by looking at what works and what doesn't.

Speaker 1 (01:33):
So the strategies aren't fixed, No, not at all.

Speaker 2 (01:35):
They constantly change as people's taste change, as trends shift.
It helps marketers stay well up to date.

Speaker 1 (01:41):
And relevant, which ultimately means better results for their ad spend.

Speaker 2 (01:45):
I guess pretty much. Yeah, better returns, more effective campaigns.

Speaker 1 (01:48):
Okay, here's where it gets really interesting for me and
probably for you listening to personalization. Ah, yes, AI is
making advertising super personal isn't it way beyond just putting
people into big groups like they used to do?

Speaker 2 (02:00):
Oh? Absolutely miles beyond before it was broad categories, right, demographics?
Now AI can analyze what each individual person does online,
what they like, their browsing history, social media, even where
they live. Sometimes.

Speaker 1 (02:14):
How does it piece all that together? Though?

Speaker 2 (02:16):
Well, it observes things like the websites you visit, what
you click on your searches, your social media activity, and
he uses all that to build a profile. So the
ads you see can speak much more directly to your
specific needs or interests at that moment.

Speaker 1 (02:32):
Which means they're hopefully more useful hmm and maybe less annoying.

Speaker 2 (02:37):
That's the goal. Yeah, for consumers it can actually be
a positive thing, less irrelevant noise.

Speaker 1 (02:43):
Right, like that feeling of huh, how do they know
I needed that instead of just another random ad?

Speaker 2 (02:48):
Exactly? That's the sweet spot they're aiming for it.

Speaker 1 (02:50):
Okay, let's shift gears a bit. What about making the
ads themselves? That process used to take ages, need lots
of people. How's AI changing that?

Speaker 2 (02:58):
It's having a huge impact there too, massive think about efficiency.
There are AI tools now They can actually write.

Speaker 1 (03:04):
Ad copy, really write the text.

Speaker 2 (03:06):
Yeah, or at least generate variations. They can design pictures
or maybe select the best images, even edit short videos,
often with minimal human help needed for the basic versions.

Speaker 1 (03:18):
Wow, how do they know what to create?

Speaker 2 (03:21):
They use data again, They look at what messages work
best for different platforms, different audiences, and tailor the output so.

Speaker 1 (03:28):
It saves time, saves money.

Speaker 2 (03:30):
Definitely save a lot of time and money. Think about it.
AI can figure out which headlines get the most clicks,
which pictures grab attention, which messages actually lead to sales.

Speaker 1 (03:41):
And then it uses that knowledge exactly.

Speaker 2 (03:44):
It uses that data to make new ads, test them,
out change them based on how they perform, all really quickly.
So it's constantly optimizing continuously. It's almost like having a
robot advertising assistant working twenty four to.

Speaker 1 (03:56):
Seven, the data driven robot assistant. Okay, so I'm just
making the ads. AI is getting into the strategy side too, right.
You mentioned it's properly changing how marketing works.

Speaker 2 (04:06):
Yes. Absolutely. It goes much deeper than just creation. We're
talking about strategic applications like well, predictive analytics for one.
That's a huge game.

Speaker 1 (04:14):
Changer, predicting the future sort.

Speaker 2 (04:17):
Of kind of yeah, predicting future trends and behaviors. It's
way beyond just looking at past performance.

Speaker 1 (04:23):
How does it do that?

Speaker 2 (04:25):
AI analyzes just loads of different data points, market trends,
social buzz, competitor moves, economics, signals, you name it, to
forecast likely outcomes.

Speaker 1 (04:37):
Can you give an example, sure.

Speaker 2 (04:38):
Like identifying which groups of customers are most likely to
respond well to a new product ad.

Speaker 1 (04:44):
Okay, so targeting becomes much smarter, much.

Speaker 2 (04:46):
Smarter or pinpointing the absolute best times in places like
which websites are apps to show ads for the biggest impact.

Speaker 1 (04:53):
Right, So marketers aren't just guessing where to put their
money exactly.

Speaker 2 (04:56):
It allows them to make much smarter choices about budget
allocation strategy. It leads to better results because decisions are
informed by data, not just you know, taking shots in the.

Speaker 1 (05:06):
Dark makes sense. What else any other big applications?

Speaker 2 (05:09):
Oh yeah, chatbots are another big one. They're becoming really
common for engaging with customers in real time.

Speaker 1 (05:15):
Right, those little pop up windows on websites.

Speaker 2 (05:17):
Yeah, but they're getting much more sophisticated than just basic FAQs.
How so well, AI powered chatbots can answer quite complex
questions now they can offer personalized product recommendations based on
your history okay, and sometimes even complete transactions like guide
you through a purchase, all without needing a human to
step in.

Speaker 1 (05:37):
So it's instant customer service basically.

Speaker 2 (05:39):
Pretty much to one two four seven support, which can
really improve customer satisfaction.

Speaker 1 (05:44):
And I suppose the chatbot learns from those interactions.

Speaker 2 (05:47):
Too, absolutely, Yeah, every interaction provides valuable insights back into
what customers want, their preferences, how they behave, and these
bots are getting better at sounding well more.

Speaker 1 (05:58):
Human like too fascinating. But look, this all sounds incredibly powerful,
maybe even a bit daunting. It can't all be sunshine
and rainbows. There must be ethical considerations, right, some potholes
to dodge, as you might say.

Speaker 2 (06:11):
Oh, definitely, that's a really crucial part of the conversation.
Privacy is a big one obviously.

Speaker 1 (06:15):
Because AI needs data, lots of it exactly.

Speaker 2 (06:19):
AI thrives on data, and that data often includes personal
information about users.

Speaker 1 (06:24):
So how do companies handle that responsibly?

Speaker 2 (06:27):
Well, they absolutely have to. It's about making sure they're
playing by the rules, you know, data protection laws like GDPR.
But it's more than just legal stuff.

Speaker 1 (06:35):
It's about trust.

Speaker 2 (06:36):
Yes, fundamentally being transparent about how data is used, getting
proper consent, keeping it secure. That's vital for building and
keeping customer trust. Without trust, the whole thing falls apart.

Speaker 1 (06:47):
True. What else any other ethical flags?

Speaker 2 (06:50):
Well, there's also the issue of bias. AI models learned
from data, right, Yeah, if the data itself reflects existing
societal biases, the AI can inadvertent learn and even amplify
those biases in its decisions, like who sees certain job
ads or loan offers.

Speaker 1 (07:06):
Okay, that's serious. So fairness is a big challenge.

Speaker 2 (07:08):
It is ensuring algorithmic fairness is a major focus for
responsible AI development. It's complex.

Speaker 1 (07:13):
So with all this tech, all this automation, where do
humans fit in our advertisers out of a job? Uh?

Speaker 2 (07:19):
Huh? Not quite. Look, AI is an amazing tool, incredibly powerful,
but it's just that a tool. It can't replace genuine
human creativity. It doesn't have empathy or cultural understanding or
that strategic intuition.

Speaker 1 (07:32):
So we still need people for the big ideas.

Speaker 2 (07:35):
Absolutely, we need people to come up with the truly
original concepts to understand what really makes people tick on
an emotional.

Speaker 1 (07:42):
Level, right the storytelling aspect.

Speaker 2 (07:45):
Exactly, crafting messages that actually resonate, that feel authentic. AI
can help us target the right audience incredibly well, but
it's still up to humans to make sure the message
itself is worth hearing, that it's meaningful and ethical.

Speaker 1 (07:59):
So it's more of a partnership then, not a takeover.

Speaker 2 (08:01):
Precisely, it's a partnership. AI handles the data crunching, the optimization,
the scale. Humans provide the spark, the strategy, the oversight,
the soul if you like.

Speaker 1 (08:13):
Okay, that makes sense, So let's ransummarize this deep dive.
AI has really really changed advertising works.

Speaker 2 (08:20):
No question, fundamentally changed it.

Speaker 1 (08:21):
It's not just making things I don't know, faster or cheaper,
though it does that too. It's more about making ads
that actually connect with people on a different.

Speaker 2 (08:29):
Level, a much more individual level.

Speaker 1 (08:31):
Yeah, we talked about that hyper personalization, ads feeling like
they were made just for you, and also AI predicting
what you might want or need next.

Speaker 2 (08:39):
That predictive power is key.

Speaker 1 (08:41):
So wrapping it all up, what does this really mean
for the future of marketing? Where's this heading?

Speaker 2 (08:46):
As we said, it means the future is about synergy, collaboration,
human plus machine exactly. Okay, but we have to keep
tackling those challenges we mentioned. Keeping data safe, making sure
AI is fair, being transparent are non negotiable.

Speaker 1 (09:01):
Right, the ethical guardrails.

Speaker 2 (09:02):
Absolutely, But assuming we navigate those properly, the potential when
humans and AI work together, that's where the real magic happens.
Magic how well AI gives us these incredible tools insights
from data at a scale we could never manage before.
And we the humans, bring the big ideas, the creativity,

(09:22):
the strategic direction, the ethical judgment.

Speaker 1 (09:25):
AI gives us the tools we bring the big ideas.
I like that.

Speaker 2 (09:28):
That's pretty much it. That combination is incredible powerful.

Speaker 1 (09:31):
Okay, So here's a final thought for you, the listener,
to take away thinking about this human AI partnership, How
might your own interactions with advertising change even more? And
maybe if you're involved in getting messages out there, think
about what new ways you could connect, what new ideas
you could bring to life when you pair your human
ingenuity with these ever smarter AI tools.

Speaker 2 (09:53):
Yeah, what becomes possible then

Speaker 1 (09:55):
Exactly something to definitely ponder
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