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9 articles
Enterprises entering the agentic era must shift from traditional AI investment metrics to measuring useful work per dollar and scaling high-value workflows for maximum ROI.
As companies invest billions in AI, the debate over return on investment intensifies with potential economic impacts reaching $3 trillion. The question remains whether AI delivers on its promises or becomes a costly distraction.
Venture capitalist Tiffany Luck discusses the AI spending backlash, as companies like Uber and Meta scale back on excessive AI adoption and investors demand clearer ROI.
This article explains the concept of tokenmaxxing in AI systems, where companies aggressively maximize token usage without proper cost controls, leading to financial risks and inefficient resource allocation.
CMOs are under increasing pressure to prove marketing ROI amid tighter budget scrutiny and evolving boardroom expectations. A new operating system for accountability is emerging as essential for success.
Learn to build a customer service AI agent that delivers measurable ROI by following these 6 practical steps. This beginner-friendly tutorial teaches you how to create, test, and measure AI agent performance.
Uber is questioning the value of its AI investments after exhausting its annual budget in just four months of 2026, as the company struggles to see clear returns on its spending.
At TechEx North America, industry leaders grappled with the challenge of proving AI's value, highlighting the critical gap between pilot projects and scalable implementations.
ABB and NVIDIA are partnering to use physical AI simulation in factory automation, enhancing ROI by bridging the gap between digital training and real-world production environments.
