If 100% of surveyed CIOs are budgeting for AI, why does the public debate still sound like AI is a failed experiment?

Reddit r/artificial 06/26/26, 09:17 AM News

enterprise-ai cio-survey ai-adoption enterprise-spending openai token-budgets rbc-survey

Summary

A new RBC survey of over 100 CIOs finds 100% are budgeting for AI, with nearly 90% reporting manageable token budgets and over half having AI in production, indicating strong enterprise adoption despite public skepticism.

Source: https://www.businessinsider.com/enterprise-ai-spending-grows-openai-leads-rbc-reveals-2026-6 Business Insider covered a new RBC survey of 100+ CIOs and tech leaders. The interesting parts: nearly 90% said token budgets are manageable more than half reportedly have AI already in production another 35% expect to reach production within six months 100% are budgeting for AI / LLM projects OpenAI is far ahead in reported enterprise usage the expected "SaaSpocalypse" has not shown up yet This seems very different from the online narrative that AI is mostly hype, pilots are failing, and companies are about to pull back. My read: consumer AI discourse and enterprise AI adoption are now diverging. Public debate focuses on bad chatbots, slop, job fears, and model drama. Enterprises are quietly turning AI into a budget line, a workflow layer, and eventually a pricing model. That does not mean there is no bubble. It means the bubble debate should probably move from "is anyone using this?" to "who captures the value, and does the ROI justify the capex?" Question: are we underestimating enterprise AI adoption because the public-facing product experience still feels messy?

Original Article

Similar Articles

900 CEOs Surveyed: 80% believe their job is at risk if AI fails this year.

Reddit r/ArtificialInteligence

A survey reveals 80% of CEOs fear job loss if AI initiatives fail, emphasizing the need to empower early adopters and streamline management processes.

@rohanpaul_ai: This survey suggests over 80% of companies have seen no productivity gains from AI so far, despite billions in spending…

X AI KOLs Following

A survey of 6,000 executives finds that over 80% of companies report no productivity gains from AI, with a third of leaders using AI only 90 minutes per week, despite heavy investment. Meanwhile, Goldman Sachs predicts a 24x increase in token use by AI agents by 2030, raising cost concerns for companies like Uber and Microsoft.

Most companies have no idea what their AI actually costs — only 26% have full control over the spend

Reddit r/ArtificialInteligence

A KPMG study reveals that only 26% of companies have full control over their AI spending, with many flying blind; examples include Uber exhausting its Claude Code budget and Teradata diverting salary budgets to AI.

$2.5T in AI spending this year. 95% produces zero P&L impact.

Reddit r/artificial

Despite $2.5 trillion in projected global AI spending in 2026, MIT's NANDA Initiative reports 95% of enterprise generative AI projects deliver zero measurable ROI, with a practitioner's first-hand analysis of 14 engagements pointing to misallocated budgets favoring model work over data infrastructure as the root cause.

Despite anxiety about AI's impact on jobs, only 2% of leaders report pushback from workers when embracing AI agents

Reddit r/singularity

A KPMG survey finds that despite public anxiety about AI's impact on jobs, only 2% of business leaders report pushback from workers when implementing AI agents. The survey indicates widespread acceptance of AI in the workplace among employees.