Forbes Councils member Tim Beerman argues that IT teams must shift how they learn about AI to keep pace with rapid advances, emphasizing hands-on, continuous training over traditional certification-ba…
Forbes Councils member Dr. Suresh Rajappa argues that AI tokenomics is the discipline of making intelligence economically sustainable, not a cost-cutting exercise, as enterprises face rising costs fro…
Forbes Councils member Kunal Chopra argues that AI hallucinations stem from using the wrong architecture, urging leaders to distinguish between generative AI and discriminative AI to deploy each appro…
Forbes Councils member Vyom Bhardwaj reports that companies are investing heavily in AI without first defining their business context, leading to a gap between investment and outcome. Bhardwaj argues …
Forbes Councils member Alec Scott argues that leaders must govern a third system of thinking beyond fast and slow, focusing on when to trust, verify, or challenge AI, as organizations that master this…
Forbes Councils member Nidhi Jain reports that shadow AI adoption has outpaced enterprise security controls, leaving organizations exposed to data leakage and compliance risks. Jain notes that vendors…
Forbes Councils member Bindu Madhavi Mangalampalli reports that real-time interoperability and artificial intelligence are transforming healthcare by enabling the connection and interpretation of grow…
Forbes Councils member Mark Orttung reports that in an AI-driven market, consulting firms should focus on KPIs such as proposal volume, win rate, and staff time efficiency, noting that a salesperson i…
Forbes Councils member Ipsita Mohanty advises businesses on achieving returns on AI investments and preventing 'tokenmaxxing', emphasizing that the goal of integrating AI is to boost productivity and …
Forbes Councils member Bernard Aceituno reports that AI agents are delivering measurable results in five enterprise use cases across regulated industries, including customer service automation, docume…
Tech leaders are prioritizing internal initiatives to prepare for an AI-intensive, interconnected, and security-conscious business environment in the second half of 2026, according to a Forbes Council…
Nick Damoulakis, a Forbes Councils member, advises leaders to write the business problem in one sentence before approving any AI budget, emphasizing the need to demystify AI and focus on core business…
Companies face governance risks from AI systems that infer sensitive customer information beyond what customers explicitly share, warns Christophe Kolb of Forbes Councils. Most firms govern data custo…
Ami Bhatt, writing for Forbes Councils, argues that the true measure of healthcare AI is whether patients correctly understand the information it provides, not just whether the AI produces accurate an…
Forbes Councils Member Prashanthi Nuthi argues that token spend is a hidden cost in AI that demands leadership attention, urging a shift from selecting the smartest model to the most appropriate one.…
CIOs face a dilemma between aggressive AI investment and steady, measured adoption, according to Farooque Munshi of Forbes Councils. Munshi argues that a serious AI program will generate failed experi…
The workforce of 2030 will be defined by how effectively people, AI systems, automation and intelligent machines operate together as a unified system, according to John Healy of Forbes Councils. Indus…
Managing AI agents is fundamentally an HR problem disguised as an engineering challenge, according to Forbes Councils Member Erik Aasberg. Engineers are increasingly becoming orchestrators of AI syste…
AI-driven risk management in the automotive industry fails at the point of execution, according to Anand Gupta of Forbes Councils, because manufacturers cannot act on AI insights in time to prevent la…
Matt Swann, Forbes Councils Member, argues that leaders must establish clear governance and operating rules before scaling AI agents across workflows to prevent risks and ensure alignment with busines…