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 enterprise workforce within the next two years. Eric Bahn, co-founder and general partner at Hustle Fund, said he expects to see effects on labor in 2026, though the exact 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 questioned whether this would lead to layoffs, higher productivity, or simply augment existing roles.
A November MIT study supports these concerns, finding that an estimated 11.7% of jobs could already be automated using AI. Employers have reportedly begun eliminating entry-level positions due to the technology, and some companies have cited AI as a reason for layoffs. As enterprises increasingly adopt AI, they may reassess their staffing needs.
The rise of AI tools like robotic process automation (RPA) and machine learning (ML) are enabling businesses to automate tasks previously performed by humans. RPA uses software "robots" to automate repetitive, rule-based tasks, while ML algorithms allow systems to learn from data and improve their performance over time, automating more complex processes. These technologies are being integrated into various enterprise functions, including customer service, data analysis, and software development.
The potential impact of AI on the workforce is a subject of ongoing debate. Some argue that AI will create new jobs and augment existing roles, leading to increased productivity and economic growth. Others fear widespread job displacement and the need for significant workforce retraining and adaptation. The coming years will likely see a continued focus on the ethical and societal implications of AI, as well as efforts to mitigate potential negative consequences for workers.
Discussion
Join the conversation
Be the first to comment