AI could surpass human workers within decades: expert

A former Citi executive predicts that AI robots could outnumber human workers within a few decades as companies increase investment in automation.

Rob Garlick, Citi Global Insights’ former head of innovation, said that the number of AI robots is expected to rise significantly, with estimates reaching 1.3 billion by 2035 and over 4 billion by 2050, according to a 2024 Citi report.

He noted that AI robots can be cost-effective, with some models paying for themselves within weeks through labor savings.

Garlick also cited that many AI robots are already available for purchase, with payback periods of less than 10 weeks for certain humanoids.

Reports from Microsoft and McKinsey suggest that AI agents are increasingly integrated into workplaces, with McKinsey predicting an equal number of human workers and AI agents within 18 months.

Industry leaders like Elon Musk have also forecasted AI surpassing human intelligence soon.

🔗 Source: CNBC

🧠 Food for thought

Implications, context, and why it matters.

Fast payback and early field use push the robot surge

Adoption keeps rising because the math works. A $15,000 robot can recoup its cost in 3.8 weeks if it replaces a worker earning $41 per hour 1.
AI robots and other autonomous systems already run in real workplaces across many industries 2.
More than 1 million robotaxi rides without a safety driver occur each month worldwide. Tesla plans to ramp production to 50,000–100,000 units over the next year 2.
Companies also lean on these tools to cope with labor shortages tied to aging populations and tighter immigration policies 3.

Job loss worries drive renewed robot tax ideas

Some policymakers now treat the prospect of robots outnumbering human workers as an immediate risk.
A U.S. Senate committee report says AI could displace nearly 100 million U.S. jobs within the next decade. It projects automation rates above 80% in some fields 4.
Democratic lawmakers have proposed a “robot tax” on businesses that replace people with technology 4.
Supporters also pitch an “AI tax” modeled on a carbon tax. They argue job displacement amounts to “social pollution” and say companies should cover those costs when AI boosts productivity 5.