The following is a summary and article by AI based on a transcript of the video "What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED". Due to the limitations of AI, please be careful to distinguish the correctness of the content.
00:05 | So let me start by bringing you back in time. |
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00:09 | We are 30 years ago, |
00:11 | and the first word processors and spreadsheets |
00:13 | are about to hit the market. |
00:16 | And the whole economic world is bracing for the next big productivity revolution. |
00:22 | Their promise at the time was we'd all spend so much less time writing, |
00:26 | drawing slides, computing numbers on a calculator. |
00:30 | And here we are, 30 years later, |
00:33 | and the promise has come true. |
00:35 | We all have so much leisure time on our hands, |
00:38 | and personally, I only work two days a week. |
00:42 | Of course, I'm just kidding. |
00:43 | The reality of what has happened 30 years later |
00:47 | is we don't work less. |
00:49 | We just write much longer word documents. |
00:52 | And our PowerPoint decks have gone from six slides to 50 slides. |
00:56 | And I say that as a consultant. |
00:59 | Also, we engage in much more complex decision-making |
01:03 | because the amount of data that we have to process has just exploded. |
01:07 | And why is that important today? |
01:10 | Well, generative AI is coming, |
01:12 | and it's coming to be embedded in the core of our organizations |
01:15 | and the way we work. |
01:17 | And that will be the next big productivity revolution. |
01:21 | So the question becomes: |
01:23 | how do we set ourselves up to actually seize this productivity opportunity? |
01:30 | I'm a marketer. |
01:31 | I spent all my career in marketing and also advising marketing professionals. |
01:36 | Now, some say marketing is the number one impacted function out there. |
01:40 | Some say the productivity impact in marketing |
01:43 | is as high as 50 percent. |
01:46 | So that question of how can I seize that productivity opportunity |
01:50 | is super high on my mind right now, |
01:53 | and I want to make the case |
01:54 | it should be super important to you all as well, |
01:56 | as business leaders but also as consumers. |
02:02 | So what will happen to marketing? |
02:04 | Well, marketing has traditionally been a super right-brained, |
02:08 | creative type of function. |
02:10 | That means what? |
02:11 | Means we have excelled as marketers |
02:13 | by tapping into the emotional needs of our consumers, |
02:17 | coming up with that perfect product, |
02:19 | that perfect innovation to meet that need, |
02:22 | and also then cracking that great message |
02:25 | that will convert the consumer at the right place in the right time. |
02:30 | Already in the past 15 years, with digital marketing and analytics, |
02:33 | marketing has evolved from being only right-brain type of general skills |
02:38 | to a few more specialized skill sets, |
02:40 | for example, digital marketing or marketing technology. |
02:45 | But now the difference with generative AI, |
02:47 | it is transforming the core of marketing activities. |
02:50 | Now, in a recent study |
02:51 | that the Boston Consulting Group conducted with Harvard, |
02:54 | we found that ChatGPT, in its current form, |
02:58 | already improves the right-brain performance of marketers by 40 percent. |
03:04 | Imagine what that number will be in a year or two from now. |
03:09 | So what do you think marketers would do |
03:11 | with a day and a half of free time a week? |
03:15 | More yoga? |
03:17 | More family time? |
03:19 | Do you think companies would allow that? |
03:21 | Or do you think companies will just let large chunks of the marketing function go? |
03:27 | Well, I believe none of this is going to happen. |
03:30 | I think if we don't steer |
03:32 | that productivity revolution very actively, |
03:35 | marketers will invest this time in what they do best: |
03:39 | more content and more ideas. |
03:43 | Now, if you think of more content, |
03:45 | there is a super productive outcome for all of us as consumers. |
03:49 | More content actually means much more personalized content. |
03:53 | Now think of that email |
03:55 | that you're getting from your favorite brand every week. |
03:58 | Imagine if that email was 100 percent tailored to you, |
04:02 | means only images of people your age and gender, |
04:05 | even people wearing T-shirts of your favorite rock band, |
04:09 | every product relevant for you, |
04:11 | and even a human-like experience powered by a bot. |
04:14 | That is certainly a productive outcome. |
04:17 | But there is also a very negative outcome for us consumers here, |
04:21 | and that is content overload. |
04:25 | How many of you already feel chased |
04:27 | by the same content over and over again online? |
04:32 | Now imagine if that content chasing you, |
04:35 | if that amount of content chasing you just explodes. |
04:38 | And imagine if that content chasing you also all sounds the same. |
04:44 | Now why is that a risk? |
04:46 | Generative AI has been trained on existing content and data. |
04:50 | Because of that, it reduces divergence of outcomes. |
04:54 | And that great equalization of marketing is certainly not a productive outcome. |
05:02 | So what is the solve here? |
05:04 | Well, I believe marketing, |
05:05 | but also every function out there |
05:07 | that is being impacted by this productivity revolution, |
05:10 | needs to grow a left-AI brain, grow one fast, |
05:14 | and also identify and protect its top right-brained talent. |
05:19 | You're going to ask me, |
05:21 | "What do you mean by growing a left-AI brain?" |
05:23 | Well, I mean, the function needs to strategically reskill and reorganize |
05:28 | to embed people that can build, |
05:31 | use and diffuse predictive AI tools in the heart of decision-making. |
05:37 | I mean, for marketing, building teams of marketing data scientists, |
05:41 | marketing data engineers that build solutions |
05:44 | that can be distributed to all marketers |
05:47 | to, for example, unpack performance and predict outcomes. |
05:51 | Imagine in marketing |
05:53 | being able to understand what audience creative couples |
05:57 | are really hitting it off in the market, |
05:59 | or what product is working with which consumer and why |
06:04 | or how is the marketing funnel evolving. |
06:08 | I recently partnered with a consumer goods company that did exactly that. |
06:12 | They decided to grow a left-AI brain advantage. |
06:16 | We helped them build tools |
06:18 | that were diffused in the entire organization, |
06:20 | that helped every marketer predict for every marketing initiative |
06:25 | what was going to be the sales outcome, |
06:28 | how a consumer behavior is going to be impacted on every channel |
06:31 | and every touchpoint, |
06:33 | and go deep in unpacking execution insights |
06:36 | to understand what creative was working and why. |
06:40 | That created a super virtuous feedback loop in the entire organization. |
06:45 | It also took building a team of 30-plus left-AI brain marketers |
06:50 | that build these tools, customize them, |
06:53 | but also in turn upskill the entire organization to use them. |
07:00 | But the team's only a part of the puzzle. |
07:03 | I see too many companies out there embarking on this journey, |
07:06 | just training their algorithms and models only on their current content and data. |
07:12 | Now, if you do that, |
07:13 | the risk for a brand is to be trapped in your current territory. |
07:17 | Concretely, imagine you are a brand that is super strong with millennials. |
07:22 | There is nothing in data and content existing on millennials |
07:27 | that will help you to be successful with Gen Z. |
07:30 | And in turn, if you're never successful with Gen Z, |
07:33 | you will miss out on important innovations and trends |
07:37 | that will make you stronger with millennials. |
07:39 | So I advise every company out there: |
07:42 | think outside of the box, |
07:44 | think outside your direct ecosystem |
07:46 | on who could be super relevant data and content partners for you. |
07:52 | Imagine you're a construction company |
07:54 | and you decide to market to architects for the first time. |
07:57 | You have zero data on architects. |
07:59 | What do you do? |
08:00 | Who has data on architects? |
08:02 | Other construction companies, but they're direct competitors. |
08:05 | So where do you go? |
08:06 | Well, you go outside your ecosystem, |
08:08 | potentially, for example, with financial institutions, insurances. |
08:13 | You can set up a federated model with them, |
08:15 | train algos on that, |
08:17 | that will in turn make you much stronger |
08:19 | to market to a new consumer segment. |
08:22 | And so are you done? |
08:23 | If you have that, if you have that data, if you have those skills |
08:27 | are you done, you have that left-AI brain advantage? |
08:30 | Well, no, actually you are not. |
08:32 | If you do that, there is a risk you give all of your right brain |
08:35 | to generative AI |
08:37 | and in turn run a real risk of losing that divergence, |
08:41 | losing that super strong brand identity, |
08:44 | being trapped in that grand equalization of marketing |
08:47 | I was talking about a minute ago. |
08:50 | In the Harvard study we conducted |
08:52 | with the Boston Consulting Group and Harvard, |
08:55 | we found that when people over-rely on generative AI, |
08:59 | the collective divergence of ideas drops by 40 percent. |
09:03 | Concretely, that means that new ideas don't come to the surface. |
09:07 | It means that true innovation is being stifled. |
09:11 | So what is a solve here? |
09:13 | Well, you need to identify the true artists, |
09:17 | the true differentiators, |
09:18 | the true innovators of your function. |
09:21 | Now, if you've ever worked in marketing, you know who these people are. |
09:25 | They are the ones that always disagree with you. |
09:28 | Now you take these people |
09:30 | and you need to strategically reskill them to use AI well, |
09:33 | for example, to be inspired by new ideas, |
09:36 | to be inspired by new trends, |
09:38 | to also crack fast prototypes, |
09:41 | to multiply their impact once they've cracked a great idea. |
09:45 | But you need to protect them and teach them |
09:48 | from using the AI to generate and originate original ideas. |
09:53 | For that, they have to use their human brain. |
09:57 | To keep those human juices flowing, |
09:59 | and that, in turn, will protect the identity of your brand |
10:03 | and your differentiation in the market. |
10:06 | So I want to close with an advice for any marketer out there. |
10:11 | What are you good at? |
10:13 | Are you super creative? |
10:16 | Are you the true innovator in the room? |
10:18 | Well, if you are, cultivate that. |
10:20 | That will be your superpower. |
10:23 | Do you like data? |
10:24 | Are you super rational, are you super fact-based? |
10:27 | Then you should specialize. |
10:28 | You should grow tech skills. |
10:30 | You should be investing in predictive AI competencies. |
10:34 | But right now, every marketer out there needs to choose their brain. |
10:39 | Thank you. |
10:40 | (Applause) |