The following is a summary and article by AI based on a transcript of the video "Why AI Will Spark Exponential Economic Growth | Cathie Wood | TED". Due to the limitations of AI, please be careful to distinguish the correctness of the content.
00:04 | Well, today, something is happening in technology |
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00:10 | that has never happened before. |
00:14 | Five innovation platforms are evolving at the same time. |
00:19 | Never happened before. |
00:21 | You have to go back to the early 1900s |
00:24 | to see three platforms evolving at the same time. |
00:28 | You might call them general-purpose technology platforms. |
00:32 | Back then, it was telephone, electricity, automobile. |
00:36 | Game-changing. |
00:38 | Well, today we have five innovation platforms evolving at the same time. |
00:45 | And they're changing growth dynamics incredibly. |
00:50 | So they are highly catalyzed by artificial intelligence |
00:55 | as you see here. |
00:56 | But robotics, energy storage, AI, |
01:01 | blockchain technology and multiomic sequencing. |
01:05 | The growth dynamics are changing |
01:07 | in a way, it reminds me, I got early in the business, |
01:11 | the 1980s, |
01:13 | I was in meetings |
01:16 | where the going assumption was growth, |
01:21 | if it accelerated, |
01:23 | it would decay very quickly back down to nominal GDP growth. |
01:28 | And that was a function of the horrors we had been through in the '70s. |
01:32 | So it was very hard to get investors to believe |
01:36 | that there were companies out there |
01:38 | that were going to help generate productivity growth |
01:41 | and actually have sustained growth rates. |
01:44 | We get into the internet time, |
01:49 | and we begin this experiment with AI: |
01:57 | recommendation engines, predictive AI, |
02:00 | some people would say “pretend AI.” |
02:02 | And still again, after the tech and telecom bust, |
02:07 | we're back in the same kind of environment |
02:10 | where no one believed that growth could be sustained. |
02:15 | And of course, the poster child became Amazon -- |
02:20 | 20-25 percent compound annual growth rates |
02:23 | over 20-25 years. |
02:26 | So it was possible. |
02:28 | And by the end of all of this, and actually today, |
02:33 | many people do believe in the FAANGs |
02:36 | and that growth will be sustained forever. |
02:39 | And yet we're in another transformation. |
02:42 | We're into real AI. |
02:47 | So generative AI. |
02:49 | And we're also seeing these platforms, |
02:53 | these general-purpose technology platforms, converge. |
02:58 | So AI, and I know you're hearing a lot about it here, |
03:01 | according to our work, our chief futurist Brett Winton and his team, |
03:06 | artificial intelligence training costs are dropping 70 percent per year. |
03:11 | What used to happen with Moore's law in two years |
03:16 | is now happening in six months. |
03:19 | We're moving from linear growth, which was that first, |
03:24 | to this belief that exponential growth, |
03:28 | so sustained rapid growth in the case of Amazon, |
03:32 | finally believe that, in the investment community, |
03:35 | the FAANGs are the poster children |
03:38 | we're in this new world with generative AI, |
03:41 | five platforms converging here. |
03:45 | And investors now think that those same companies |
03:50 | are going to be the big beneficiaries this time. |
03:53 | Now, some might, but the history of technology is, they probably won't. |
03:59 | If you look at technology indices |
04:01 | from, you know, 20 years ago, 30 years ago, |
04:05 | the top 10, even in technology, are typically not the top 10 today. |
04:11 | I think Microsoft has been a very big exception to that. |
04:16 | So here we are. |
04:18 | And what does this mean? |
04:21 | Convergence, generative AI. |
04:24 | Well, it means explosive growth opportunities. |
04:28 | I’m going to give you one example: |
04:31 | autonomous taxi platforms. |
04:35 | Autonomous taxi platforms are going to be the convergence |
04:40 | of three of these major, general-purpose technology platforms: |
04:46 | robotics, |
04:48 | autonomous vehicles are robots; |
04:50 | energy storage, they will be electric; |
04:54 | and artificial intelligence, |
04:56 | they will be powered by AI. |
04:59 | This one opportunity, we think, |
05:02 | in the next five to 10 years |
05:05 | is going to scale to a revenue opportunity |
05:09 | of eight to 10 trillion dollars, from essentially nothing now. |
05:13 | Now for perspective, global GDP today, |
05:17 | all of global GDP today, |
05:20 | is not much more than 100 trillion dollars. |
05:23 | And here, we're telling you, in the next five to 10 years, |
05:28 | we're going to see up to 10 trillion in gross revenues, |
05:32 | with the platform companies getting half of that. |
05:35 | If the platform companies get half of that, four to five trillion, |
05:40 | they're probably going to be worth |
05:43 | somewhere in the 20 to 50 trillion-dollar range. |
05:48 | Now, that's just one example of convergence |
05:52 | and generative AI combining |
05:55 | to create an explosive growth opportunity. |
05:59 | Now, for the economy as a whole, |
06:04 | we believe that GDP growth is going to accelerate. |
06:08 | Now we've been in an environment |
06:10 | of two to three percent growth on average for years. |
06:15 | And if you go back in history, |
06:18 | the history of technology |
06:19 | is you get jump starts in growth |
06:25 | to completely new rates of change. |
06:28 | And very often the jump is between three and five times |
06:32 | what the previous growth rate was. |
06:35 | We think we're in such a time now |
06:37 | because the artificial intelligence |
06:40 | and the convergence of these platforms |
06:44 | is going to generate enormous productivity growth |
06:49 | the likes of which we have never seen. |
06:51 | So there are today roughly a billion knowledge workers, |
06:58 | and their wages and compensation, |
07:03 | roughly 32 trillion dollars |
07:06 | around the world. |
07:08 | We think they're going to become four times more productive. |
07:13 | And typically, |
07:15 | productivity gains result in rapid growth gains |
07:20 | much lower than expected inflation. |
07:24 | And if we're right, |
07:26 | the GDP growth -- |
07:28 | and I know this sounds crazy, |
07:29 | and most people think we’re crazy when we say things like this -- |
07:33 | but we really do believe that real GDP growth around the world |
07:39 | is going to accelerate from that two to three percent range |
07:43 | into the six to nine percent range, |
07:46 | and a lot of that will be productivity-driven. |
07:50 | With productivity comes tremendous wealth creation. |
07:54 | Productivity can end up in three places. |
07:57 | It can end up in profits. |
08:01 | It can end up in wages going up as employees become more productive. |
08:07 | And we think that will happen as well. |
08:09 | And/or, |
08:11 | and it's probably all three, |
08:13 | lower prices, deflation. |
08:16 | That’s the other thing I don’t think people are expecting out there: |
08:20 | deflation. |
08:21 | We think we're heading into a highly deflationary period. |
08:25 | And all you hear today is inflation, inflation. |
08:29 | And you've got monetary policy focused on lagging indicators of inflation |
08:35 | and jacking interest rates up. |
08:38 | So yes, this is why the financial markets are in a funk. |
08:44 | The Fed believes we're in an inflation-prone economy like the '70s. |
08:50 | We are not. |
08:51 | We went through a massive supply chain shock |
08:56 | in the last few years, |
08:58 | and we believe that is unwinding. |
09:01 | And that Fed policy is going to ensure that we end up with falling prices, |
09:07 | which means margins are falling. |
09:09 | Innovation solves problems. |
09:12 | AI and these new technologies will enhance margins. |
09:17 | So we think, during this time, |
09:20 | and I think we're seeing it empirically, |
09:23 | that these innovations are gaining more traction today: |
09:30 | better, faster, cheaper, |
09:31 | more productive, more creative products and services. |
09:36 | And so we're pretty excited about the next few years. |
09:40 | And do believe that the Fed is making a mistake, |
09:44 | that something out there, |
09:47 | we thought it was the regional bank crisis in early March, |
09:51 | no, |
09:52 | something out there will telegraph to the Fed, |
09:57 | that the fight now is not against inflation, |
10:01 | and that real growth is not inflationary. |
10:05 | In fact, if you get real growth, productivity-driven, real growth, |
10:09 | it is disinflationary if not deflationary. |
10:13 | So we're pretty excited about the next five to 10 years. |
10:20 | And so what's the bottom line of all of this, |
10:23 | if we're so excited |
10:25 | and think we're going to get beyond the macro environment? |
10:29 | So this is what we think is going to happen |
10:33 | thanks to the convergence of those five |
10:38 | general-purpose technology platforms. |
10:42 | What you see here is a chart, |
10:45 | and the blue part is disruptive or transformative innovation. |
10:52 | Today, it is valued in the global equity markets, |
10:57 | both public and private, |
10:59 | at roughly 13 trillion dollars. |
11:04 | That's a little more than 10 percent |
11:07 | of all global equity market valuation. |
11:12 | We believe that is going to scale, |
11:15 | thanks to the convergence of these platforms |
11:18 | and the explosive growth opportunities that they will provide, |
11:22 | to more than 200 trillion dollars. |
11:25 | That is a 40 percent compound annual growth rate. |
11:32 | It's very hard to believe, I know. |
11:34 | In the markets, they do think we're a little crazy. |
11:38 | But the building blocks of our confidence here, |
11:44 | comes from our research around these platforms. |
11:47 | 40 percent compound annual rate of growth |
11:50 | makes sense in the world of accelerated real GDP, |
11:55 | very low inflation |
11:58 | and very high productivity. |
12:00 | And the number I threw out |
12:03 | just for autonomous taxi platforms is in that 200 trillion. |
12:07 | It's somewhere, |
12:09 | alone, that one opportunity is between 20 and 50 trillion dollars. |
12:14 | Now what's the other message from this chart? |
12:16 | The other message is |
12:19 | that besides disruptive innovation |
12:23 | being a very good place to invest, |
12:27 | is that the other side of disruptive innovation |
12:31 | is creative destruction. |
12:33 | And we're going to -- I just described autonomous taxi platforms, |
12:38 | that is going to transform all of transportation |
12:42 | and mobility completely. |
12:45 | The convergence of artificial intelligence, |
12:49 | multiomic sequencing |
12:51 | and one the other technologies underlying, CRISPR gene editing, |
12:57 | is going to transform health care. |
12:59 | We think blockchain technology and artificial intelligence -- |
13:04 | we did a fascinating podcast |
13:07 | on the convergence between those two -- |
13:10 | is going to transform not only |
13:14 | the entire financial services sector, |
13:18 | but is going to lead to a whole new area |
13:23 | of property rights in the digital realm. |
13:27 | A lot of young people today |
13:29 | spend more than half of their discretionary time online. |
13:33 | That's where they're interested in staking out property rights. |
13:37 | So we're pretty excited about that as well. |
13:40 | Many people ask me, |
13:43 | we have a lot of doubters out there, |
13:45 | which I think you probably know about, |
13:47 | how we maintain our conviction in this kind of forecast. |
13:52 | And our conviction has not wavered. |
13:54 | In fact, it's increased over the last five years, |
13:56 | and the numbers have grown larger |
13:58 | because of the breakthroughs in AI |
14:01 | that we didn't even expect to happen this quickly. |
14:04 | The courage of our conviction comes from our research. |
14:08 | First principles research, |
14:10 | white sheet of paper, |
14:12 | you know, how is this new world going to work? |
14:16 | So as I say, make sure, |
14:19 | given all the creative destruction |
14:21 | that there is going to be out there, |
14:24 | to get on the right side of change and hang on for the ride. |
14:30 | Ignore the noise. |
14:32 | Because truth will win out, and the opportunities are enormous. |
14:37 | Thank you. |
14:38 | (Applause) |