Important points
- The physical world is lagging behind the rapid advances in AI, creating a gap between possibility and reality.
- Achieving theoretical advances in AI will require significant infrastructure upgrades.
- Investors are increasingly valuing companies that reduce their workforce, indicating a change in market dynamics.
- Internal friction within companies is a major barrier to rapid adoption of technology, even with AI capabilities.
- Software disruption is rapidly changing a company’s growth potential and impacting valuations.
- The competitive environment for companies is moving from long-term to much shorter-term.
- OpenAI’s model has fundamentally changed the perception of AI’s potential in Silicon Valley.
- The current valuation of a company like Salesforce reflects a pessimistic view of its growth potential.
- The stock market for code-based projects is starting to resemble a prediction market.
- The last 5-10% of software development is of great value, but many teams may not have invested the effort to achieve it.
- The perception of AI’s potential has changed dramatically with the release of new technologies.
- The revaluation of software stocks is being driven by new competitive threats and software disruption.
- Market sentiment is increasingly influenced by the possibility of workforce reductions.
- The immediacy of competition in the software industry requires companies to adapt quickly.
- Established companies face challenges in adapting to new technologies and sustaining growth.
Guest introduction
Jordi Visser is Head of AI Macro Nexus Research at 22V Research. Previously, he was founder and chief strategist at Visser-Labs, a consulting firm advising asset managers on AI and digital asset disruption. A seasoned macro investor with more than 30 years of experience, he served as President and Chief Investment Officer of Weiss Multi-Strategy Advisers for 20 years.
The gap between AI potential and physical infrastructure
The physical world is not ready for the rapid advances in AI described in Citrini’s paper.
— Jordi Visser
- Achieving theoretical AI advances will require significant infrastructure upgrades.
To get to that point, we don’t have the ability without gas turbines.
— Jordi Visser
- Current infrastructure limitations pose a significant barrier to AI implementation.
- The gap between AI potential and reality highlights the need for technological advancement.
- Understanding infrastructure requirements is critical for advanced AI technologies.
- Theoretical advances in AI are outpacing its practical capabilities.
- The need for infrastructure upgrades is a major challenge in AI adoption.
Investor sentiment and staff reductions
Investors are increasingly valuing companies that can reduce their workforce, regardless of the underlying reason.
— Jordi Visser
- Headcount reductions are becoming an important factor in corporate evaluations.
- This trend reflects a shift in investor sentiment toward cost-cutting measures.
When being able to fire employees would improve a company’s reputation, companies say they want to do it.
— Jordi Visser
- A focus on workforce reductions could impact corporate strategy.
- Understanding market dynamics is critical to addressing changes in employee-related evaluations.
- This trend is likely to impact how companies approach technology adoption and automation.
- Investor action on layoffs highlights shifting market priorities.
Barriers to rapid technology adoption in enterprises
Despite the capabilities of AI, internal friction within companies remains a major barrier to rapid technology adoption.
— Jordi Visser
- Internal friction slows down the adoption of new technology in companies.
- AI capabilities alone are not enough to enable rapid integration into the enterprise.
Adoptions will never happen as quickly as Sattorini wrote because there are too many conflicts.
— Jordi Visser
- Understanding a company’s challenges is critical to technology integration.
- The complexity of enterprise adoption influences market limitations.
- For companies to take full advantage of AI capabilities, they must address internal barriers.
- The slow pace of technology adoption impacts competitive position.
Software Disruption and Corporate Growth Potential
Software-induced disruption is rapidly changing the growth potential of companies.
— Jordi Visser
- Software disruption impacts company valuations and growth expectations.
- The revaluation of software stocks is being driven by new competitive threats.
The reason why it declines is because the probability of becoming a growing company three years from now is drastically reduced.
— Jordi Visser
- Understanding the impact of software interruptions is critical to your investment strategy.
- The competitive environment is shifting from long-term to short-term survival.
- Companies must adapt quickly to remain competitive in the software industry.
- Intense competition requires rapid innovation and adaptation.
Impact of OpenAI models on market perception
The release of OpenAI’s model fundamentally changed the perception of AI’s potential in Silicon Valley.
— Jordi Visser
- The release of OpenAI changed market dynamics and investment strategies.
- The perception of AI’s potential has changed dramatically with the release of new technologies.
Things changed when OpenClaw came out and I listened to Ben Horowitz on the Moon Shot podcast.
— Jordi Visser
- Understanding the importance of models in OpenAI is critical to market positioning.
- The impact of OpenAI’s release highlights the importance of staying informed about technological advances.
- Companies need to adjust their strategies in response to changing market perceptions.
- Changing perceptions will impact how investors approach AI-related investments.
Challenges of valuing established companies
The current valuation of a company like Salesforce reflects a pessimistic view of its growth potential.
— Jordi Visser
- Established companies face challenges in adapting to new technologies and sustaining growth.
- Market sentiment towards incumbents is becoming increasingly pessimistic.
You rephrased it as something like Ford, which will never grow again.
— Jordi Visser
- Understanding financial metrics and growth expectations is critical to making investment decisions.
- The challenges facing incumbent companies highlight the need for innovation.
- To remain competitive, companies must adapt to changing market conditions.
- Valuations of established companies reflect broader market trends and challenges.
Stock market and prediction market dynamics
The stock market for code-based projects is rapidly adapting to new information and is beginning to resemble a prediction market.
— Jordi Visser
- Market valuations, like prediction markets, change based on new information.
- Understanding prediction market dynamics is important for navigating stock valuations.
They are constantly adapting to new news.
— Jordi Visser
- Rapid adjustments in market valuations highlight the importance of staying informed.
- Investors need to be agile in responding to market changes.
- Analogies to prediction markets provide insight into market movements.
- Prediction market dynamics influence how investors approach technology investing.
The value of completing software development
The last 5-10% of software development is of great value, and many teams may not invest the effort to achieve it.
— Jordi Visser
- Completing a software project is critical to maximizing its value.
- The final stage of software development has great potential for value creation.
It’s like the last 5-10% of the software is really worth it.
— Jordi Visser
- Understanding the software development process is critical to your business strategy.
- Companies must invest in completing projects to realize their full value.
- The importance of completing a software project influences investment decisions.
- The potential value in the final stages of development highlights strategic priorities.
