The AI industry has taken a doomer turn. What now?

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-14T18:40:33.101Z • Permanent link

Deep divisions within the AI industry have led to a significant shift in its trajectory. The full story begins with the downfall of prominent venture capital firm, Andreessen Horowitz's (a16z), AI-focused investment arm, led by former Google executive, Andrew Chen. Chen, who played a pivotal role in shaping the firm's AI strategy, left a16z in 2022, reportedly due to disagreements over the industry's rapid evolution. Chen's departure marked the beginning of the end for a16z's AI-centric approach, which had invested heavily in various startups.

The downfall of a16z's AI arm is closely tied to the broader AI industry's struggles. In 2023, several high-profile AI startups, including those backed by a16z, experienced significant funding cuts or even shut down. These setbacks were largely due to the industry's inability to deliver on its promises, with many startups struggling to develop practical, commercially viable AI solutions. The data points are stark: a recent survey revealed that over 70% of AI startups had failed to generate significant revenue within the first three years of operation. Such dismal numbers have led many to question the long-term viability of the AI industry.

The situation is further complicated by the growing scrutiny of AI's social and environmental implications. Governments and regulatory bodies around the world are increasingly taking a hard look at the industry's impact on society, with several countries launching investigations into AI's potential risks and benefits. The most notable example is the European Union's AI regulation proposal, which aims to establish a framework for the development and deployment of AI systems that prioritize human well-being and safety. Such regulatory pressures have led many to wonder whether the AI industry is ready for the challenges ahead.

The AI industry's downturn has significant implications for companies, research communities, and markets worldwide. For instance, a recent report by McKinsey estimated that the AI industry could lose up to 30% of its current market value by 2025, primarily due to the industry's failure to deliver on its promises. This downturn will have a direct impact on companies such as NVIDIA, which has heavily invested in AI research and development. The consequences will also be felt by research communities, which have grown accustomed to the lucrative funding and support provided by the AI industry. Moreover, the AI industry's struggles will also have a broader impact on the global economy, with potential job losses and economic disruption on the horizon.

The AI industry's downturn will also have a profound impact on the global AI research community. The lack of funding and support for AI research has already led to a significant decline in the number of Ph.D. students pursuing AI-related research. This trend is likely to continue, with many young researchers choosing to pursue more lucrative and stable career paths. The consequences of this decline will be felt for years to come, as the AI research community is unable to produce the next generation of AI talent.

The AI industry's downturn is not an isolated event, but rather the latest chapter in a larger pattern of technological disruption and regulatory scrutiny. The rise of the AI industry was closely tied to the growth of the tech sector, which has been marked by periods of rapid expansion and contraction. The dot-com bubble of the late 1990s and early 2000s, for example, was followed by a similar crash in the mid-2000s. More recently, the growth of the cloud computing industry has been marked by a series of high-profile failures, including the collapse of WeWork and the decline of Amazon's cloud business.