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Artificial Intelligence and the Next Productivity Cycle

Artificial Intelligence and the Next Productivity Cycle

How AI Could Influence Productivity and Long-Term GDP Growth

Artificial intelligence (AI) is increasingly viewed as a transformative technology with the potential to significantly improve productivity and support long-term global GDP growth.

While much public attention has focused on automation and consumer applications, the broader economic story may center on AIʼs ability to enhance efficiency, accelerate innovation, and augment human work across a wide range of industries.

As businesses continue integrating AI into operations, many economists believe the technology could contribute to a new era of productivity-driven growth similar to past technological revolutions such as electrification, personal computing, and the internet.

Why Productivity Matters

Productivity growth — producing more output with the same level of labor and capital — is one of the most important drivers of long-term economic expansion and rising living standards.

Over the past two decades, productivity growth in many developed economies has slowed. At the same time, aging populations and slower labor force growth have created additional pressure on economic output.

This backdrop has increased interest in technologies that can improve efficiency at scale.  AI may represent one of the most significant of these technologies.  With that increased productivity though, many questions still arise around the labor force itself, automation, various levels of jobs, etc.

How AI Could Improve Productivity

Unlike earlier forms of automation that primarily replaced physical labor, AI has the ability to assist with cognitive and information-based work.

AI systems can help employees:

●    Analyze data more quickly

●    Automate repetitive administrative tasks

●    Improve research and decision-making

●    Generate writtenand technical content

●    Enhance customerservice operations

The result may be higher worker output and improved operational efficiency across industries. Potential areas of impact include:

●    Software development

●    Healthcare administration and diagnostics

●    Financial analysis

●    Legal and compliance workflows

●    Supply chain management

●    Professional services

If you read the above and thought, this sounds a lot like entry level jobs that would ultimately grow into higher-level roles within firms; you’re right.  What individuals and companies are trying to wrap their heads around is the idea of whether this means less jobs, jobs that work more efficiently, or creates new jobs around the technology.

The Connection Between AI and GDP Growth

Economic growth is typically driven by two factors:

1.       Labor force growth

2.      Productivity growth

Because labor force expansion is slowing in many developed economies, future GDP growth may increasingly depend on productivity improvements.

AI could support GDP growth through:

●    Faster and more efficient business operations

●    Lower operatingcosts

●    Accelerated innovation

●    Increased capital investment in technology infrastructure

Even modest productivity gains applied across large portions of the economy can have meaningful long-term economic effects.

Some estimates suggest AI could contribute trillions of dollars to global economic output over the next decade, although the timing and scale remain uncertain.

Keep in mind that if productivity increases, we see a labor force reduction, we may be at a net neutral for GDP growth.  If AI is something that augments and complements the current labor force in some more meaningful way, that is the best-case scenario for all involved.  The ability for everyone to do more with their time, more efficiently, while remaining gainfully employed is the hope.  But the counter of that, slowing labor growth or decline, with similar or slightly better output would be concerning for the other side of the economy.

Industries Likely to See Early Impact

AI adoption is expected to vary across sectors, with knowledge-intensive industries likely to experience the fastest changes.

Areas expected to benefit include:

●     Technology

●    Healthcare

●     Financial services

●    Professional services

●    Manufacturing andlogistics

 Businesses that successfully integrate AI into workflows may improve efficiency, reduce costs,and enhance competitiveness.

Labor Market Considerations

AI will likely reshape many jobs rather than eliminate work entirely.

Historically, technological innovation has displaced certain tasks while also creating new industries and opportunities. AI may follow a similar pattern,increasing demand for skills related to analysis, oversight,creativity, and strategic decision-making.

Before the invention of the automobile there were no need for mechanics, no need for paved roads and all the materials that go into them.  Before the personal computer becoming more prevalent and used within the workspace, having an IT department was not even thought of.  Cybersecurity blossomed from the internet, as well as so many other industries.  

The point is that industries adapt, the labor force adapts, and even when more things become automated or change we tend to adapt even if it is not anything we could have imagined.

Risks and Uncertainties

Despite its potential, AI also presents challenges. Key considerations include:

●    Regulatory and ethical concerns

●    Data privacy and security

●    Infrastructure and energy demands

●    Uneven adoption across companies and industries

●    Workforce disruption during transition periods

 

In addition, the economic benefits of transformative technologies often take longer to materialize than early expectations suggest.

The cost and use of tokens within the AI space also play a huge role. Data centers are seemingly popping up everywhere.  More new data centers are either being built, in a search for power, or being blocked by local residents who do not want mor estrain on their local power grid.  

With energy and power scarce,but the need for power as intense as the race to be the leader in AI, we are at a really interesting point.

Conclusion

AI has the potential to become a major driver of productivity and economic growth over thecoming decade.

By improving efficiency, accelerating innovation, and augmenting human capabilities, AI could influence industries, labor markets, and investment trends on a global scale.

While uncertainty remains regarding the pace and magnitude of adoption, AI is increasingly emerging as an important long-term economic theme with implications that extend well beyond the technology sector itself.

The truest conclusion of this is that there is none.  We won’t really know what worked and what did not work until years, possibly decades to come. If history has taught us anything it is that the human race has adapted before and despite the concerns with AI many firms are in a position where they do not exactly know what or how to leverage the technology in the best way for them and their customers.

If you have questions or want to learn more how this may impact your portfolio, or how to take advantage of it, please reach out to us at HUDSONPOINT capital.  We would love to chat.

The opinions expressed are those of HUDSONPOINT capital and not those of Arete Wealth.

Please note that any investment involves risk including loss of principal. This is for informational and educational purposes only and should not be construed as investment advice or an offer or solicitation of any products or services. Opinions are subject to change with market conditions. The views and strategies may not be suitable for all investors and are not intended to be relied on for legal or tax advice.

Securities offered through Arete Wealth Management, LLC, members FINRA and SIPC. Investment advisory services offered through Arete Wealth Advisors, LLC an SEC registered investment advisory firm.

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Artificial Intelligence and the Next Productivity Cycle
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