Luyện nói tiếng Anh bằng Shadowing qua video: What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED

So let me start by bringing you back in time.

⏸ Tạm dừng

Tốc độ:

101 câu

Nếu các câu quá ngắn hoặc quá dài, hãy bấm Edit để chỉnh sửa.

So let me start by bringing you back in time.

We are 30 years ago, and the first word processors and spreadsheets are about to hit the market.

And the whole economic world is bracing for the next big productivity revolution.

Their promise at the time was we'd all spend so much less time writing, drawing slides, computing numbers on a calculator.

And here we are, 30 years later, and the promise has come true.

We all have so much leisure time on our hands, and personally, I only work two days a week.

Of course, I'm just kidding.

The reality of what has happened 30 years later is we don't work less.

We just write much longer word documents.

And our PowerPoint decks have gone from six slides to 50 slides.

And I say that as a consultant.

Also, we engage in much more complex decision-making because the amount of data that we have to process has just exploded.

And why is that important today?

Well, generative AI is coming, and it's coming to be embedded in the core of our organizations and the way we work.

And that will be the next big productivity revolution.

So the question becomes: how do we set ourselves up to actually seize this productivity opportunity?

I'm a marketer.

I spent all my career in marketing and also advising marketing professionals.

Now, some say marketing is the number one impacted function out there.

Some say the productivity impact in marketing is as high as 50 percent.

So that question of how can I seize that productivity opportunity is super high on my mind right now, and I want to make the case it should be super important to you all as well, as business leaders but also as consumers.

So what will happen to marketing?

Well, marketing has traditionally been a super right-brained, creative type of function.

That means what?

Means we have excelled as marketers by tapping into the emotional needs of our consumers, coming up with that perfect product, that perfect innovation to meet that need, and also then cracking that great message that will convert the consumer at the right place in the right time.

Already in the past 15 years, with digital marketing and analytics, marketing has evolved from being only right-brain type of general skills to a few more specialized skill sets, for example, digital marketing or marketing technology.

But now the difference with generative AI, it is transforming the core of marketing activities.

Now, in a recent study that the Boston Consulting Group conducted with Harvard, we found that ChatGPT, in its current form, already improves the right-brain performance of marketers by 40 percent.

Imagine what that number will be in a year or two from now.

So what do you think marketers would do with a day and a half of free time a week?

More yoga? More family time?

Do you think companies would allow that?

Or do you think companies will just let large chunks of the marketing function go?

Well, I believe none of this is going to happen.

I think if we don't steer that productivity revolution very actively, marketers will invest this time in what they do best: more content and more ideas.

Now, if you think of more content, there is a super productive outcome for all of us as consumers.

More content actually means much more personalized content.

Now think of that email that you're getting from your favorite brand every week.

Imagine if that email was 100 percent tailored to you, means only images of people your age and gender, even people wearing T-shirts of your favorite rock band, every product relevant for you, and even a human-like experience powered by a bot.

That is certainly a productive outcome.

But there is also a very negative outcome for us consumers here, and that is content overload.

How many of you already feel chased by the same content over and over again online?

Now imagine if that content chasing you, if that amount of content chasing you just explodes.

And imagine if that content chasing you also all sounds the same.

Now why is that a risk?

Generative AI has been trained on existing content and data.

Because of that, it reduces divergence of outcomes.

And that great equalization of marketing is certainly not a productive outcome.

So what is the solve here?

Well, I believe marketing, but also every function out there that is being impacted by this productivity revolution, needs to grow a left-AI brain, grow one fast, and also identify and protect its top right-brained talent.

You're going to ask me, "What do you mean by growing a left-AI brain?" Well, I mean, the function needs to strategically reskill and reorganize to embed people that can build, use and diffuse predictive AI tools in the heart of decision-making.

I mean, for marketing, building teams of marketing data scientists, marketing data engineers that build solutions that can be distributed to all marketers to, for example, unpack performance and predict outcomes.

Imagine in marketing being able to understand what audience creative couples are really hitting it off in the market, or what product is working with which consumer and why or how is the marketing funnel evolving.

I recently partnered with a consumer goods company that did exactly that.

They decided to grow a left-AI brain advantage.

We helped them build tools that were diffused in the entire organization, that helped every marketer predict for every marketing initiative what was going to be the sales outcome, how a consumer behavior is going to be impacted on every channel and every touchpoint, and go deep in unpacking execution insights to understand what creative was working and why.

That created a super virtuous feedback loop in the entire organization.

It also took building a team of 30-plus left-AI brain marketers that build these tools, customize them, but also in turn upskill the entire organization to use them.

But the team's only a part of the puzzle.

I see too many companies out there embarking on this journey, just training their algorithms and models only on their current content and data.

Now, if you do that, the risk for a brand is to be trapped in your current territory.

Concretely, imagine you are a brand that is super strong with millennials.

There is nothing in data and content existing on millennials that will help you to be successful with Gen Z.

And in turn, if you're never successful with Gen Z, you will miss out on important innovations and trends that will make you stronger with millennials.

So I advise every company out there: think outside of the box, think outside your direct ecosystem on who could be super relevant data and content partners for you.

Imagine you're a construction company and you decide to market to architects for the first time.

You have zero data on architects.

What do you do?

Who has data on architects?

Other construction companies, but they're direct competitors.

So where do you go?

Well, you go outside your ecosystem, potentially, for example, with financial institutions, insurances.

You can set up a federated model with them, train algos on that, that will in turn make you much stronger to market to a new consumer segment.

And so are you done?

If you have that, if you have that data, if you have those skills are you done, you have that left-AI brain advantage?

Well, no, actually you are not.

If you do that, there is a risk you give all of your right brain to generative AI and in turn run a real risk of losing that divergence, losing that super strong brand identity, being trapped in that grand equalization of marketing I was talking about a minute ago.

In the Harvard study we conducted with the Boston Consulting Group and Harvard, we found that when people over-rely on generative AI, the collective divergence of ideas drops by 40 percent.

Concretely, that means that new ideas don't come to the surface.

It means that true innovation is being stifled.

So what is a solve here?

Well, you need to identify the true artists, the true differentiators, the true innovators of your function.

Now, if you've ever worked in marketing, you know who these people are.

They are the ones that always disagree with you.

Now you take these people and you need to strategically reskill them to use AI well, for example, to be inspired by new ideas, to be inspired by new trends, to also crack fast prototypes, to multiply their impact once they've cracked a great idea.

But you need to protect them and teach them from using the AI to generate and originate original ideas.

For that, they have to use their human brain.

To keep those human juices flowing, and that, in turn, will protect the identity of your brand and your differentiation in the market.

So I want to close with an advice for any marketer out there.

What are you good at?

Are you super creative?

Are you the true innovator in the room?

Well, if you are, cultivate that.

That will be your superpower.

Do you like data?

Are you super rational, are you super fact-based?

Then you should specialize.

You should grow tech skills.

You should be investing in predictive AI competencies.

100

But right now, every marketer out there needs to choose their brain.

101

Thank you. (Applause)

TRENDING

Phổ biến

Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.

ShadowingEnglish.com – Luyện Nói Tiếng Anh Bằng Shadowing

Nói tiếng Anh lưu loát với phương pháp Shadowing — nghe người bản xứ, đọc theo từng câu, rèn phản xạ ngôn ngữ thật sự. Được hàng ngàn người học IELTS tin dùng.

Luyện nói tiếng Anh bằng Shadowing qua video: What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED

Phổ biến

Về Bài Học Này

Từ Vựng & Cụm Từ Chìa Khóa

Mẹo Thực Hành

Phương Pháp Shadowing Là Gì?

Luyện nói tiếng Anh bằng Shadowing qua video: What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED

Tải Ứng Dụng

Về Bài Học Này

Từ Vựng & Cụm Từ Chìa Khóa

Mẹo Thực Hành

Phương Pháp Shadowing Là Gì?