More Evenly Distributed
December 8, 2023

More evenly distributed - AI and the crypto winter

Signals from the future:

Emerging trends that are likely to drive changes to the way we live, work and do business.

Climate & Energy

Space & Robotics:

Health:

Demographics:

Focus Issue: Generative AI and the Crypto Winter

Despite some recent gains of the value of bitcoin over the past few weeks, many consider us to be in a "crypto winter". This is a reference to the "AI winter" that was experienced from the late 1990s to just recently, as generative AI has exploded. These are periods where funding dries up and interest fades from the public consciousness.

A common viewpoint is that the current "AI spring" is contributing to the "crypto winter". Crypto miners who saw falling profits from their mining operations have switched to providing compute infrastructure for AI workloads. Platforms like FedML provide a marketplace for this long-tail of AI compute outside of the mega providers like Amazon, Microsoft and Google.

Despite the crypto winter, a generative art NFT collection sold for a whopping $17 million in September 2023, indicating renewed interest in the market. Generative art, which involves creating artwork based on algorithms or instructions, has gained popularity in the NFT space due to advancements in Web3 technologies.

A good way to look at what might happen with these sorts of technologies is to look at startups. In the Y Combinator Winter Batch of 2023, 18% of the 201 startups accepted were AI/ML-related. This is a significant increase compared to the Winter and Summer Batches of 2021, which had 2.5% and 4% Crypto/Web3 startups, respectively. Does this mean that AI is over-invested?

Analyst firm CCS Insight predicts that generative AI will face a "cold shower" in 2024 as the costs associated with the technology increase. They suggest that smaller developers of generative AI will struggle as it becomes too expensive to run.

An interesting concept is the use of cryptocurrencies in various stages of the generative AI value chain. For example, using smart contracts to pay creatives for access to their works as training data may be a compelling way through some of these legal issues.


Consider these strategic insights:

  1. Invest in Education and Training: Businesses should invest in educating their employees about generative AI and cryptocurrencies. This includes understanding the technical aspects, potential applications, and the ethical considerations associated with these technologies.
  2. Develop a Technology Adoption Strategy: Businesses need a clear strategy for adopting and integrating generative AI and cryptocurrency technologies into their operations. This involves identifying areas where these technologies can add the most value, assessing the potential risks and benefits, and developing a roadmap for implementation.
  3. Focus on Data Security and Privacy: With the adoption of generative AI and cryptocurrencies, data security and privacy become even more critical. Businesses must ensure they have robust cybersecurity measures in place to protect sensitive data. They should also stay informed about regulations and compliance requirements related to data protection and privacy.
  4. Explore New Business Models and Revenue Streams: Generative AI and cryptocurrencies open up possibilities for new business models and revenue streams. Businesses should explore these opportunities, such as using AI for personalised customer experiences or leveraging blockchain technology for secure and transparent transactions.
  5. Engage in Industry Collaborations and Partnerships: Collaborating with other businesses, technology providers, and research institutions can provide valuable insights and resources for navigating the complexities of generative AI and cryptocurrencies. Partnerships can also help in sharing best practices, reducing costs, and fostering innovation.

Deep strategy:

Longer form articles rich with insights:

  • Operational Safety With AI: Chevron’s Ellen Nielsen - MIT Sloan Management Review - Chevron is leveraging AI and data-driven decision-making to achieve higher returns and lower carbon emissions. They are implementing AI initiatives such as robots, digital twins, sensors, and citizen development programs. This podcast is a good listen.
  • 3 Traps to Avoid When Executing Your Strategy - Harvard Business Review - Avoid the traps of too many opinions, lack of action, and accountability to execute successful strategies.
  • Why We Should Settle Mars - Quillette - Key Insight: The idea of human settlement in space, specifically on Mars, has significant potential benefits and challenges that can be overcome with advancements in technology. It offers advantages in terms of resources, scientific knowledge, and as a backup plan for humanity.

Business at the point of impact:

Emerging issues and technology trends can change the way we work and do business.

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