AIBusinessInnovation

KPMG Survey: 73% of CEOs Plan Major AI Workforce Investments in 2025

Nearly three-quarters of global CEOs plan to invest 20% of their entire budget on AI in the coming year, according to KPMG’s latest outlook survey. The findings suggest a rapid shift toward what industry experts call the “superhuman” workforce, where AI agents augment human capabilities rather than replace workers entirely.

The AI Investment Surge

Corporate leaders are placing their biggest bets yet on artificial intelligence, with new data revealing an unprecedented commitment to workforce transformation. According to KPMG’s 2025 CEO Outlook survey of over 1,300 global chief executives, nearly three-quarters plan to allocate a staggering 20 percent of their entire budget to AI investments in the next 12 months alone. This marks the second consecutive year that AI has topped their investment priorities, signaling a fundamental shift in how enterprises view technological transformation.

Arts and EntertainmentSoftware Guides

How Good Is AI At Software Application Development? Evaluating Capabilities & Limitations

AI is revolutionizing software development through agentic coding assistants and large language models. While these tools accelerate development velocity and scope, questions remain about their reliability and safety in production environments. Understanding both the potential and limitations is crucial for effective implementation.

Artificial intelligence is fundamentally transforming how software applications are developed, with agentic AI coding tools and large language models increasingly handling code generation, debugging, and optimization tasks. According to industry experts, these technologies are dramatically accelerating development velocity while raising important questions about code quality, security, and the evolving role of human developers. As teams integrate AI throughout their workflows, understanding both the capabilities and limitations becomes essential for maximizing benefits while mitigating risks.

The Evolution of AI in Software Development