Artificial Intelligence Bubble Won’t Burst Soon: Viktor Shvetz

AI is operating on a bubble, much like earlier waves of revolutionary technology, but it is unlikely to cause a protracted financial meltdown. Global strategist and author Viktor Shvetz said at the CFA Institute India Investment Conference that any general-purpose technology, including telephones and railroads, needs a capital-fueled bubble to promote acceptance and growth.

AI bubble seen as necessary for long-term growth

“We do not need capital; we have enough of it. He clarified that having a large amount of capital cushions both the market and economies.

Although short-term, dramatic drops in AI valuations are possible, they are probably going to be considerably smaller and shorter than previous tech booms. Shvetz said, “The rehabilitation period will be significantly shorter if anything similar happened on Thursday and goods went to waste.”

Artificial intelligence bubble explained by Viktor Shvetz at an investment conference
Artificial intelligence bubble explained by Viktor Shvetz at an investment conference

 

Short-term volatility but limited downside risk

AI is still in its early stages of development. Despite significant investments, especially in hyperscale infrastructure, end-user revenue is still rather low. The market has not yet reached the type of peak that telecommunications had in the late 1990s, according to Shvetz.

According to him, the AI bubble is both unavoidable and essential as it will enable the technology to seep into industrial processes, infrastructure, and applications, setting the stage for long-term social and economic change.

Early-stage AI adoption and infrastructure build-up

🤖 AI Capital Boom & Infrastructure Expansion

  • Theme: Capital-fueled AI bubble
  • Key Driver: Hyperscale data centers and compute investment
  • Current Reality: End-user revenue remains relatively low
  • Comparison: Earlier than late-1990s telecom peak
  • Impact: Faster adoption across industries and infrastructure
  • Outlook: Short corrections, faster recovery cycles

Shvetz also emphasized how the world of innovation is evolving. He cautioned that recent governmental choices are threatening the US’s ecosystem, despite the country’s long history of combining creativity and innovation. “In terms of supporting our basic research as well as clusters, the United States has been shooting itself in the foot over the last four months. “That is not good news,” he said.

In contrast, China has shown exceptional invention even in the absence of profound imagination. China has not created anything in the last forty years. However, it has been the biggest product and service inventor in history, according to Shvetz. “That is precisely the argument Xi Jinping is making,” he said, adding that robots are driving innovation more and more, which lessens the need for individual freedom. In fact, you do not have to give up much power to establish such clusters.

US innovation risks and China’s execution-led model

⚠️ AI Productivity, Labor & Social Impact

  • Core Risk: Labor polarization and rising inequality
  • Productivity: Output per employee rising, multi-factor lagging
  • Timeline: Broad productivity gains may take 10+ years
  • Social Impact: Wealth concentration without skilling policies
  • Stability: Markets may be underestimating disruption
  • Policy Need: Inclusive growth and workforce reskilling

Structural dangers still exist in spite of this. While both China and the US strive for the elusive objective of 5% productivity growth with 0% inflation, which might take ten years or more to attain, China confronts significant overinvestment and misallocated resources.

Markets could be underestimating how AI will affect labor, capital, and societal stability, Shvetz said. “Multi-factor productivity has not taken off, although output per employee is increasing. That will not happen for at least ten years,” he said. Over the following ten to fifteen years, he also warned about the societal repercussions, such as growing inequality and labor polarization.

Long-term productivity and inequality concerns

Shvetz argued that equities markets in India are undervaluing long-term structural issues. Managers of equity funds are only able to value what they can. He said, “They do not look at things they do not value, and those things come back to bite you.” The advantages of AI-driven development might stay concentrated in the absence of strategies to control inequality and promote skilling, leaving significant portions of the workforce underrepresented in wealth.

Frequently asked questions

1. What makes AI a “bubble,” according to Viktor Shvetz?

According to Shvetz, in order to develop infrastructure and adoption, all general-purpose technologies (such as the internet, telephones, and railroads) need a capital-driven bubble. AI is acting in a similar manner.

2. Like the dot-com crisis, will the AI bubble burst?

Unlikely. According to Shvetz, any correction will be severe but brief due to the abundance of global capital that supports economies and markets.

3. Is the development of AI still in its early stages?

Indeed. AI-generated end-user revenue is relatively low despite significant expenditures in infrastructure and data centers, suggesting an early-stage cycle.

4. What are the differences in AI innovation between the US and China?

Although the US has historically been at the forefront of creativity and invention, legislative decisions run the danger of undermining its ecosystem. China thrives in quick product and service innovation via size and execution, but being less creative.

5. What dangers does AI present to the job market and society?

If productivity advances do not result in widespread benefits, Shvetz warns of growing inequality, labor polarization, and societal instability over the next ten to fifteen years.

Conclusion

According to Viktor Shvetz, rather than causing a protracted collapse, the AI boom is an unavoidable and essential bubble that powers infrastructure, speeds up adoption, and permits long-term change. Although short-term volatility is anticipated, resilience is suggested by the amount of capital and the early stages of AI.

But there are also a lot of hazards, particularly with regard to productivity, inequality, and job relocation. To guarantee that AI-driven prosperity benefits a wider portion of society, nations like India must address inclusiveness and skilling.

Disclaimer: This content is for informational purposes only and does not constitute financial or investment advice.

Gourav

About the Author

I’m Gourav Kumar Singh, a graduate by education and a blogger by passion. Since starting my blogging journey in 2020, I have worked in digital marketing and content creation. Read more about me.

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