シャドーイング練習: What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED - YouTubeで英語スピーキングを学ぶ
C1
So let me start by bringing you back in time.
101 文
文が短すぎたり長すぎる場合は、Editをタップして調整してください。
1
So let me start by bringing you back in time.
2
We are 30 years ago, and the first word processors and spreadsheets are about to hit the market.
3
And the whole economic world is bracing for the next big productivity revolution.
4
Their promise at the time was we'd all spend so much less time writing, drawing slides, computing numbers on a calculator.
5
And here we are, 30 years later, and the promise has come true.
6
We all have so much leisure time on our hands, and personally, I only work two days a week.
7
Of course, I'm just kidding.
8
The reality of what has happened 30 years later is we don't work less.
9
We just write much longer word documents.
10
And our PowerPoint decks have gone from six slides to 50 slides.
11
And I say that as a consultant.
12
Also, we engage in much more complex decision-making because the amount of data that we have to process has just exploded.
13
And why is that important today?
14
Well, generative AI is coming, and it's coming to be embedded in the core of our organizations and the way we work.
15
And that will be the next big productivity revolution.
16
So the question becomes: how do we set ourselves up to actually seize this productivity opportunity?
17
I'm a marketer.
18
I spent all my career in marketing and also advising marketing professionals.
19
Now, some say marketing is the number one impacted function out there.
20
Some say the productivity impact in marketing is as high as 50 percent.
21
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.
22
So what will happen to marketing?
23
Well, marketing has traditionally been a super right-brained, creative type of function.
24
That means what?
25
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.
26
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.
27
But now the difference with generative AI, it is transforming the core of marketing activities.
28
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.
29
Imagine what that number will be in a year or two from now.
30
So what do you think marketers would do with a day and a half of free time a week?
31
More yoga? More family time?
32
Do you think companies would allow that?
33
Or do you think companies will just let large chunks of the marketing function go?
34
Well, I believe none of this is going to happen.
35
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.
36
Now, if you think of more content, there is a super productive outcome for all of us as consumers.
37
More content actually means much more personalized content.
38
Now think of that email that you're getting from your favorite brand every week.
39
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.
40
That is certainly a productive outcome.
41
But there is also a very negative outcome for us consumers here, and that is content overload.
42
How many of you already feel chased by the same content over and over again online?
43
Now imagine if that content chasing you, if that amount of content chasing you just explodes.
44
And imagine if that content chasing you also all sounds the same.
45
Now why is that a risk?
46
Generative AI has been trained on existing content and data.
47
Because of that, it reduces divergence of outcomes.
48
And that great equalization of marketing is certainly not a productive outcome.
49
So what is the solve here?
50
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.
51
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.
52
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.
53
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.
54
I recently partnered with a consumer goods company that did exactly that.
55
They decided to grow a left-AI brain advantage.
56
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.
57
That created a super virtuous feedback loop in the entire organization.
58
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.
59
But the team's only a part of the puzzle.
60
I see too many companies out there embarking on this journey, just training their algorithms and models only on their current content and data.
61
Now, if you do that, the risk for a brand is to be trapped in your current territory.
62
Concretely, imagine you are a brand that is super strong with millennials.
63
There is nothing in data and content existing on millennials that will help you to be successful with Gen Z.
64
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.
65
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.
66
Imagine you're a construction company and you decide to market to architects for the first time.
67
You have zero data on architects.
68
What do you do?
69
Who has data on architects?
70
Other construction companies, but they're direct competitors.
71
So where do you go?
72
Well, you go outside your ecosystem, potentially, for example, with financial institutions, insurances.
73
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.
74
And so are you done?
75
If you have that, if you have that data, if you have those skills are you done, you have that left-AI brain advantage?
76
Well, no, actually you are not.
77
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.
78
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.
79
Concretely, that means that new ideas don't come to the surface.
80
It means that true innovation is being stifled.
81
So what is a solve here?
82
Well, you need to identify the true artists, the true differentiators, the true innovators of your function.
83
Now, if you've ever worked in marketing, you know who these people are.
84
They are the ones that always disagree with you.
85
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.
86
But you need to protect them and teach them from using the AI to generate and originate original ideas.
87
For that, they have to use their human brain.
88
To keep those human juices flowing, and that, in turn, will protect the identity of your brand and your differentiation in the market.
89
So I want to close with an advice for any marketer out there.
90
What are you good at?
91
Are you super creative?
92
Are you the true innovator in the room?
93
Well, if you are, cultivate that.
94
That will be your superpower.
95
Do you like data?
96
Are you super rational, are you super fact-based?
97
Then you should specialize.
98
You should grow tech skills.
99
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)
アプリをダウンロード
話したすべての文をAIが採点
TRENDING
人気動画
コンテキストと背景
このTEDトークで、ジェシカ・アポテッカー氏はAI時代におけるマーケティングの進化について考察します。彼女は、過去30年にわたるテクノロジーの進展が私たちの労働環境と生産性を根本的に変えてきたことを強調し、特に生成AIがマーケティング機能に与える影響の大きさを説明します。また、マーケティング業界が左右の脳をどのように活用すべきか、そしてそのために必要なスキルとは何かを考察します。これらの内容は、英語スピーキング練習やIELTSスピーキング対策においても非常に有益です。
日常コミュニケーションのためのトップ5フレーズ
- 「マーケティングは創造性が求められる分野です。」 - マーケティングの本質を理解するために重要なフレーズです。
- 「生成AIは大きな生産性の革命をもたらします。」 - 現代のテクノロジーの波を捉えた言葉です。
- 「私たちのメールはよりパーソナライズされます。」 - 顧客体験の向上を示しています。
- 「コンテンツ overload のリスクがあります。」 - 情報過多に対する懸念を表しています。
- 「左脳的なAIを育てる必要があります。」 - スキルのバランスを考える際に役立つ表現です。
ステップバイステップ シャドーイング ガイド
このビデオを使って英語シャドーイングを行うには、以下のステップを試してみてください：
- 初回視聴：ビデオを一度通して見て、全体の内容を把握しましょう。
- フレーズのピックアップ：上記のトップ5フレーズを重点的に聴き、発音やイントネーションに注目します。
- 再生速度の調整：ビデオの速度を落として、各フレーズを一緒に発声します。
- リピーティング：言い回しを繰り返しながら、正しい発音を身につける時間を設けます。これにより、英語スピーキング練習が効果的になります。
- 自己録音：自分の声を録音し、オリジナルと比較してみましょう。これが、IELTS スピーキング対策としても役立ちます。
このプロセスを通じて、英語スピーキングのスキルを向上させ、ビデオ内の重要なトピックについても深く理解できるでしょう。シャドーイングの際は、shadowspeaksやshadowspeakの手法を取り入れて、より自在に英語を操れるように練習しましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。