Jordi Visser: AI Potential Hindered by Old Infrastructure, Investor Sentiment Drives Workforce Decline, and Software Disruption Changes Company Value

Basic considerations

• The physical world lags behind the rapid advancement of AI, creating a gap between potential and reality.
• Achieving theoretical advances in AI requires significant infrastructure upgrades.
• Investors are more appreciative of companies that are downsizing, indicating a shift in market dynamics.
• Complexity within businesses is a major barrier to rapid technology adoption, even with AI capabilities.
• Software disruptions can quickly change a company’s growth potential and impact values.
• The competitive landscape for companies has shifted from a long term to a much shorter term.
• OpenAI models have completely changed the perception of the potential of AI in Silicon Valley.
• Current valuations of companies like Salesforce reflect a pessimistic view of their growth potential.
• The stock market for code-based projects is similar to the prediction markets.
• The last 5-10% of software development is there for significant value, but many teams don’t make the effort to achieve it.
• The perception of AI’s potential has changed dramatically with new technology releases.
• Software stocks are re-evaluated with new competitive threats and software disruptions.
• Market sentiment is heavily influenced by the prospect of a labor contraction.
• Direct competition in the software industry requires rapid adaptation by companies.
• Established companies face challenges in adapting to new technologies and sustaining growth.

Introduction of guests

Jordi Visser is the head of AI Macro Nexus Research for 22V Research. He previously served as the founder and chief strategist of Visser-Labs, a consulting firm that advises asset managers on disruptive artificial and digital assets. With more than 30 years as a veteran macro investor, he spent two decades as president and chief investment officer of Weiss Multilateral Advisors.

The difference between AI potential and physical infrastructure

• The physical world is not ready for the rapid advances in AI as described in the Citrini paper.

  – Jordi Visser

• Achieving theoretical AI advances will require significant infrastructure improvements.

• We just don’t have the capacity to get to that point, we don’t have gas turbines.

  – Jordi Visser

• Current infrastructure limitations are a significant barrier to AI implementation.
• The gap between AI potential and reality underscores the need for technological progress.
• Understanding the infrastructure requirements for advanced AI technologies is critical.
• The theoretical advances of AI far exceed the practical possibilities.
• The need to upgrade infrastructure is a major challenge for AI adoption.

Investor sentiment and labor cuts

• Investors are more appreciative of companies that can downsize their workforce regardless of the underlying reasons.

  – Jordi Visser

• Reducing the workforce becomes an important factor in the company’s valuation.
• The trend reflects a shift in investor sentiment toward cost-cutting measures.

• When companies get higher prices, when they can get rid of employees, they say they want to do it.

  – Jordi Visser

• The focus on workforce reduction may affect corporate strategies.
• Understanding the dynamics of the market is important to navigate the changes related to the workforce.
• The trend can influence how companies approach technology adoption and automation.
• The behavior of investors in the direction of reducing the labor force emphasizes the changing preferences of the market.

Obstacles to the faster introduction of technology in enterprises

• Regardless of AI’s potential, disagreements in businesses are a major obstacle to rapid adoption of the technology.

  – Jordi Visser

• Internal problems slow down the adoption of new technologies in companies.
• AI capabilities alone are not enough to ensure rapid integration in enterprises.

• There are so many differences that adoption will not happen as quickly as what Satrini wrote about.

  – Jordi Visser

• Understanding enterprise challenges is critical to technology integration.
• Enterprise adoption challenges are influenced by market constraints.
• Companies must address internal barriers to fully exploit AI’s capabilities.
• The slow pace of technology adoption affects the competitive position.

Software development and company growth potential

• The complexity created by software is rapidly changing the growth potential of companies.

  – Jordi Visser

• The software shutdown will affect the company’s valuations and growth expectations.
• The revaluation of software resources is driven by new competitive threats.

• The reason for the decline in jobs is that the company’s probability of falling significantly over a three-year period.

  – Jordi Visser

• Understanding the impact of software disruptions is critical to investment strategies.
• The competitive landscape is shifting from long-term survival to short-term survival.
• Companies must adapt quickly to compete in the software industry.
• The urgency of competition demands rapid innovation and adaptation.

The impact of OpenAI models on market perception

• The release of OpenAI models has completely changed the perception of the potential of AI in Silicon Valley.

  – Jordi Visser

• OpenAI releases have changed market dynamics and investment strategies.
• The perception of AI’s potential has changed dramatically with new technology releases.

• The game changed when OpenClaw came out, if you listen to Ben Horowitz on the Moon Shot podcast.

  – Jordi Visser

• It is important to understand the importance of OpenAI models for market positioning.
• The impact of OpenAI’s releases underscores the importance of staying up-to-date on technological advancements.
• Companies must adjust their strategies in response to changing market perceptions.
• A shift in perception will affect how investors approach AI-related investments.

Valuation challenges for established companies

• Current valuations of companies like Salesforce reflect a pessimistic view of their growth potential.

  – Jordi Visser

• Established companies face challenges in adapting to new technologies and sustaining growth.
• Market sentiment is increasingly pessimistic about established companies.

• You’ve re-rated it, it looks like a Ford, well it’s never going to get big again.

  – Jordi Visser

• Understanding financial ratios and growth expectations is critical to investment decisions.
• The challenges facing established companies underscore the need for innovation.
• Companies must adapt to changing market conditions to remain competitive.
• The valuation of established companies reflects broader market trends and challenges.

Stock market and forecast market dynamics

• The stock market for code-based projects resembles prediction markets, adapting quickly to new information.

  – Jordi Visser

• Market values ​​are based on new information, similar to forecast markets.
• Understanding predictable market dynamics is critical to navigating stock valuations.

• They are constantly adapting to new news.

  – Jordi Visser

• Rapid market price adjustments highlight the importance of being aware.
• Investors must be agile and responsive to market changes.
• Comparison to forecast markets provides insight into market behavior.
• The dynamics of prediction markets affect how investors approach technology investments.

Cost of completing software development

• The last 5-10% of software development is there with significant value, and many teams do not make the effort to achieve it.

  – Jordi Visser

• Completing software projects is critical to maximizing their value.
• The final stages of software development have significant potential for value creation.

• It’s almost like the last five or 10% of the software is what really has the most value.

  – Jordi Visser

• Understanding software development processes is critical to business strategy.
• Companies must invest in completing projects to fully realize their value.
• The importance of completing software projects affects investment decisions.
• Potential value in the final stages of development highlights strategic priorities.