What the data shows
What does the future hold for the workforce as artificial intelligence (AI) continues to evolve? This pressing question arises as Jack Dorsey, CEO of Block, announced that the company will be shedding almost 50 percent of its workforce due to the increasing reliance on AI tools. This decision not only highlights the immediate impact of AI on employment but also raises concerns about a broader trend that could affect many companies in the near future.
Dorsey anticipates that a majority of companies will reach similar conclusions regarding workforce reductions within the next year. This shift is already evident, as some organizations report that their code is composed of 25 percent to 75 percent AI-generated content. Such a significant integration of AI into business operations suggests a transformative moment in how companies function and the roles that human employees will play.
Supporting this trend, Citrini Research has outlined a scenario where AI could lead to a stock market crash of up to 60 percent. The implications for the economy are staggering, with predictions indicating that the US jobless rate could hit 10 percent by June 2028 due to AI displacement. Furthermore, the S&P 500 could potentially lose 57 percent of its value compared to its peak in October 2026, driven by economic disruptions stemming from AI advancements.
In the realm of AI capabilities, recent benchmarks have revealed significant disparities between AI and human intelligence. Google’s Gemini model scored 45.9 percent on a comprehensive examination designed to assess AI against human intellect, while OpenAI’s ChatGPT achieved a mere 3 percent accuracy in 2024. This examination, consisting of 2,500 questions across roughly 100 disciplines, was developed by Scale and the Centre for AI Safety, aiming to provide a clear assessment of the gap between AI and human intelligence.
Anthropic’s Claude system also participated in this benchmark, scoring 34.2 percent. Calvin Zhang, one of the creators of the examination, stated, “We wanted to create this close-ended academic benchmark, set to the frontier of expert humans, that only a handful of people on earth can really solve.” This statement underscores the ongoing efforts to understand and quantify the capabilities of AI in comparison to human intellect.
As the landscape of employment and economic stability shifts, the historical context of automated trading strategies, which contributed to the Black Monday crash of 1987, looms large. The potential for AI to disrupt markets and employment raises urgent questions about the future of work and economic resilience.
As companies like Block navigate these changes, the broader implications for the workforce and economy remain uncertain. What remains clear is that the integration of AI into business practices is not just about efficiency; it is reshaping the very fabric of the job market. Details remain unconfirmed about how these trends will unfold, but the urgency of the situation cannot be overstated.