Investors predict artificial intelligence will significantly impact the enterprise workforce by 2026, according to a recent TechCrunch survey. The prediction comes amid rising concerns about AI's potential effects on workers, fueled by advancements in automation and efficiency-promising AI products.

The survey, which did not specifically ask about AI's impact on labor, revealed that multiple enterprise venture capitalists anticipate substantial changes in the workforce within the next two years. This projection aligns with existing research highlighting the potential for AI-driven automation. A November MIT study, for example, estimated that 11.7% of jobs could already be automated using AI technologies.

Eric Bahn, co-founder and general partner at Hustle Fund, anticipates observable effects on labor by 2026, though the precise nature of those effects remains uncertain. "I want to see what roles that have been known for more repetition get automated, or even more complicated roles with more logic become more automated," Bahn said. He raised questions about the potential for increased layoffs, higher productivity, or whether AI will primarily serve as an augmentation tool for human workers.

Employers are already beginning to eliminate entry-level positions due to AI, and some companies have cited AI as a factor in recent layoffs. As enterprises increasingly integrate AI into their operations, they may reassess their staffing needs.

The concept of AI-driven automation involves using algorithms and machine learning models to perform tasks previously done by humans. This can range from automating repetitive tasks like data entry to more complex functions such as customer service or even aspects of software development. The potential impact extends across various industries, prompting discussions about workforce retraining and adaptation.

While the specific details of AI's impact on the 2026 workforce remain to be seen, the consensus among investors suggests a significant shift in the enterprise landscape. The coming years will likely involve navigating the challenges and opportunities presented by AI-driven automation, including addressing potential job displacement and maximizing the benefits of AI as a tool for enhancing productivity.