Arts and EntertainmentBusiness Acquisition

How Many Jobs Will AI Eliminate? C-Suite Executives Reveal 2025 Predictions

According to the Forbes Research 2025 AI Survey, 94% of executives predict fewer than 5% of jobs will be eliminated by AI. Companies are shifting focus from job replacement to human-AI collaboration through training and cultural change initiatives.

Artificial intelligence will eliminate fewer than 5% of jobs over the next two years while creating more opportunities than it destroys, according to C-suite executives surveyed in the comprehensive Forbes Research 2025 AI Survey. The research, which polled more than 1,000 global leaders about AI adoption and workforce impact, reveals a significantly more optimistic outlook than previous predictions, with 59% of executives believing AI will ultimately create rather than eliminate job opportunities—a substantial increase from just 33% who held this view in 2024.

Executive Outlook on AI Job Elimination

Economy and TradingEnergy Policy

Federal Reserve October Rate Cut Expected as FOMC Weighs Economic Risks

The Federal Open Market Committee is widely expected to cut interest rates on October 29, with market indicators showing a 97% probability. The Fed faces balancing inflation concerns against emerging employment risks amid economic uncertainty.

Federal Reserve interest rate cuts are overwhelmingly anticipated when the Federal Open Market Committee meets on October 29, with market indicators pointing toward the first reduction in over a year. According to the CME FedWatch Tool which projects the chance of a cut at 97% based on fixed income markets, policymakers are likely to lower the federal funds rate below 4% amid growing concerns about economic softening. This anticipated move represents a significant shift in the Fed’s approach as it navigates competing economic pressures.

Market Expectations for October Rate Decision

Arts and EntertainmentEnergy Policy

AI Weapons Accountability in Modern Warfare: Beyond the Killer Robot Debate

As AI transforms military operations worldwide, the debate around autonomous weapons systems intensifies. This examination reveals why focusing solely on AI accountability misses crucial aspects of how these technologies actually function in combat scenarios and who bears ultimate responsibility.

Artificial intelligence weapons represent one of the most contentious developments in modern warfare, raising fundamental questions about accountability, ethics, and the future of armed conflict. While AI weapons systems undoubtedly introduce new complexities to military operations, the prevailing narrative that these technologies cannot be held accountable fundamentally misunderstands both the nature of artificial intelligence and established principles of military responsibility. As nations worldwide accelerate their adoption of military AI applications, understanding the actual relationship between autonomous systems and human accountability becomes increasingly critical for policymakers and the public alike.

The Evolving Landscape of AI in Military Operations