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          Technology Could Cause a Transformational Acceleration in Economic Growth

          1 March 2024

          4 Min Read

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          Key Takeaways

          Historically, major innovations like the waterwheel and the internet have triggered periods of rapidly accelerating economic expansion.

          Current projections may undervalue the full impact of emerging technologies like AI and robotics in driving an economic growth boom.

          Considering the full economic impact of the convergence of certain technologies, the real GDP growth could accelerate to 7% per year on average.

          During the current business cycle, we believe real gross domestic product (GDP)1 growth could accelerate to 7% per year2 on average, surpassing that of any year since 1950. Seemingly outlandish, this estimate is consistent with the dramatic boost to real GDP growth during bursts of technologically enabled innovation in the past 2000+ years.

           

          Since 1 AD, history reveals distinct time periods during which the rate of economic growth has transformed structurally—as shown below. Over each successive time span the underlying rate of economic growth has structurally changed for the better. One can measure this change either by the average yearly growth rate or, as in our case, by calculating how long it would take for the world’s production to grow tenfold. In simpler terms, how many years will it take for us to be ten times wealthier?

           

          Sources: ARK Investment Management LLC, 2024, based on data from Bolt et al. 2022; Nalley et al. 2021; DeLong 1998; The World Bank Group, as of 01/27/23.3 Numbers are rounded. Consensus forecast is the reference economic case for the EIA’s International Energy Outlook. X-axis of log years until 2050 is tuned to the best fit against the historical data. Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.

          During the first thousand years AD, technology breakthroughs—including the development of the waterwheel and advanced infrastructure enabled by concrete—catalysed activity to such an extent that real GDP would have increased 10x over the course of 16,500 years. Through 1500, agricultural innovation, notably the introduction of a plow able to work heavy European soils, improved food protection, boosting growth to a rate that would have multiplied real GDP 10-fold over 1,600 years. During the Enlightenment and first industrial revolution, economic growth was driven by the introduction of the steam engine, taking the amount of time for a 10x improvement in real GDP down to 720 years. Then, the internal combustion engine, the telephone, electrification, and the railroad combined to create another structural shift during the second industrial revolution, pushing the 10x increase in GDP down to 150 years. Finally, in the second half of the 20th and early 21st centuries, the integrated circuit, personal computers, and the internet combined to compress the 10x increase in economic well-being as measured by real GDP into fewer years than the average human lifespan: 65.

          In the chart above, the green dots highlight the growth trajectory that consensus forecasting agencies are predicting. Knowingly or not, they are implying that the innovation enabled by robotics, energy storage, artificial intelligence, blockchain technology, and multiomics sequencing will not impact growth meaningfully and that the global economy is entering a rendition of the dark ages.

          Consistent with techno-economic history, ARK’s forecast through 2030 suggests that the time to 10x will be ~30 years, nearly three times faster than the consensus forecast, as shown in the chart above by the purple dots. Admittedly, the x-axis scaling in the chart above is doing a lot of the work: the x-axis is scaled by log years until 2050, resulting in a clean regression against available historical data. Slight tweaks to that regression could change the timeframe for the acceleration in growth.

          That said, we are comfortable with our forecast based on research suggesting that a small subset of the 14 technologies that we have modelled could deliver the acceleration in real GDP growth. Indeed, adaptive robotics and robotaxis alone could realise almost all of the transformational acceleration we are anticipating, as shown below.

           

          Source: ARK Investment Management LLC, 2024. Based on data from Crafts 2004; McKinsey Global Institute 2017; O’Mahoney and Timmer 2009.4 Forecasts are inherently limited and cannot be relied upon. For informational purposes only and should not be considered investment advice or a recommendation to buy, sell, or hold any particular security or cryptocurrency. Past performance is not indicative of future results.

           

          Other advances—notably in AI software, public blockchains, and multiomics—also could prove transformational for the economy, although macroeconomic statistics could fail to capture their impacts and will have to catch up with reality. In our view, a spate of technological breakthroughs is in the process of transforming not only the global economy but also financial markets.

          References

          1

          GDP, a monetary measure of the market value of all the final goods and services produced in a specific time period by a country or group of countries. https://en.wikipedia.org/wiki/Gross_domestic_product.

          2

          ARK Investment Management. 2024. “Big Ideas 2024: Disrupting the Norm, Defining the Future.”

          3

          Bolt, J. et al. 2022. “Maddison Project Database 2020.” Groningen Growth and Development Centre. DeLong, B. 1998. “Estimating World GDP, One Million B.C. – Present.” University of California at Berkeley. The World Bank Group, as of 01/27/23.

          4

          Crafts, N. 2004. “Globalisation and Economic Growth: A Historical Perspective.” The World Economy. McKinsey Global Institute. 2017. “A Future That Works.” O’Mahoney, M. and Timmer, P. 2009. “Output, Input and Productivity Measures at the Industry Level: The Eu Klems Database.” The Economic Journal.

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