Navigating the New Era of AI in Work and Education

In October 2023, Professor Ethan Mollick wrote about "The Shape of the Shadow of the Thing," a speculative piece on how artificial intelligence (AI) might evolve in the coming years. Now, just over two years later, we can see that shadow much more clearly. The transformation is profound and has significant implications for work, education, and daily life.

From Co-Intelligence to AI Management

When ChatGPT was introduced, it marked a new phase of human-AI interaction known as co-intelligence. In this model, humans would prompt AI systems back-and-forth to get assistance on various tasks. However, starting in late 2025, we entered an even more advanced era with the advent of AI agents like Claude Code, OpenAI’s Codex, and OpenClaw. These systems can handle complex tasks that previously required hours of human effort, delivering reasonable and useful results in just minutes. This shift from co-intelligence to AI management is a significant step forward.

The Exponential Improvement of AI

Understanding the rapid advancement of AI requires grasping the concept of exponential improvement. Imagine an otter on a plane using Wi-Fi-a whimsical but effective way to visualize technological progress. In 2022, when ChatGPT was launched, AI image models struggled with this task. By April 2025, they were producing nearly perfect images. This rapid progress is not just limited to static images; video has become the new frontier and has seen exponential gains as well.

To illustrate, consider a recent experiment where I provided an advanced (and still unreleased in the U.S.) AI video model from TikTok maker Bytedance with the same otter challenge. The results were astonishing, demonstrating that what once took years of development can now be achieved in months.

Implications for Work and Education

The shift to AI management has profound implications for both work and education. In the workplace, tasks that were once time-consuming and labor-intensive can now be delegated to AI systems. This means that employees will need to develop new skills to manage these tools effectively. For example, understanding how to frame a problem or task in a way that an AI system can understand is becoming increasingly important.

In education, the role of teachers and students is also evolving. Traditional rote learning may become less relevant as AI systems can quickly provide answers to factual questions. Instead, there will be a greater emphasis on critical thinking, creativity, and emotional intelligence-skills that are harder for AI to replicate. Educators will need to adapt their curricula to prepare students for a future where AI is an integral part of the workforce.

Balancing Benefits and Risks

The benefits of this new era of AI are clear: increased efficiency, reduced workload, and the potential for more innovative solutions to complex problems. However, there are also risks that need to be addressed. The rapid advancement of AI could lead to job displacement, particularly in industries where tasks can be easily automated. There is also the risk of bias and ethical issues if AI systems are not designed and managed responsibly.

To mitigate these risks, it is crucial to invest in retraining programs for workers whose jobs may be affected by automation. Additionally, policymakers need to work with tech companies to ensure that AI systems are transparent, fair, and accountable. This includes setting standards for data privacy and security, as well as creating frameworks for addressing ethical concerns.

Looking Ahead

As we continue to ride the exponential curve of AI improvement, it is essential to stay informed and engaged. The changes brought about by this new era of AI will affect everyone, from students and workers to policymakers and business leaders. By understanding the capabilities and limitations of these technologies, we can better prepare for a future where AI plays an increasingly prominent role.