Agentic AI Spending Soars Beyond $10M as Scaling Stalls

7 hours ago

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Why have companies spent over $10M on Agentic AI without achieving clarity?

What challenges are companies facing in scaling Agentic AI?

Is the high spending on Agentic AI worth it for companies struggling to scale?

Agentic AI Spending Soars Beyond $10M as Scaling Stalls — Image source: Unblock Media

Corporate agentic AI spending surpasses $10M, but rollout success lags at 14%.
Hurdles include unclear strategies, resistance to change, and internal disorganization.

On September 24, 2025 (UTC), Cryptopolitan reported that corporate spending on agentic AI surpassed $10 million per company, but full adoption remains elusive, with only 14% of firms implementing these autonomous systems at scale. While businesses continue to invest heavily, most remain mired in pilot stages due to unclear strategies and limited organizational readiness.

Experts from EY and Searce point to several reasons behind this stalled momentum. Internal disorganization, inadequate scaling frameworks, and resistance to change remain major barriers. Dan Diasio, EY’s global AI leader, emphasized that many purported "agentic AI" technologies function mainly as basic assistants, falling short of delivering truly autonomous, context-aware decision-making capabilities.

Transitioning from pilots to scalable, full implementations requires overcoming resistance to change and building structured internal knowledge systems that support agentic workflows. Experts recommend shifting focus from additional pilot spending to foundational readiness, which is necessary for integration and scalability.

To address these obstacles, industry experts propose five actionable solutions. First, organizations should organize internal knowledge into structured data to enhance AI usability. Second, developing and formalizing AI-human collaboration strategies will clarify the division of roles between employees and AI systems. Third, iterative deployment with incremental improvements is advised over large-scale, abrupt rollouts.

Firms are also encouraged to strengthen AI-specific cybersecurity measures, including ethical guidelines and usage rules. Lastly, empowering small, skilled "AI blackbelt" teams can decentralize development, enabling different departments to create their own agentic workflows and fostering broader adoption and innovation.

As of September 24, 2025, 13:00 UTC, Ethereum (ETH) is trading at $1,732, with a 3.8% increase in 24-hour trading volume, according to CoinMarketCap.