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Businesses must reinvent their processes and workforce to scale agentic AI adoption

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Why This Matters

The adoption of agentic AI is transforming the tech industry, prompting businesses to rethink their models and workforce strategies. While many organizations are still in early stages, the push toward scaled AI deployment highlights the importance of resource allocation, governance, and integration to realize AI's full potential for competitive advantage.

Key Takeaways

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ZDNET's key takeaways

Only 15% of organizations have reached scaled multi-agentic orchestration.

Most business leaders are reevaluating their business models in light of advances in agentic AI.

Scaling agentic AI must begin with sufficient resources to transform the workforce.

Most US-based companies are under pressure and working hard to shift from experimenting with AI agents to deploying them in production, according to the latest research from Deloitte.

A survey of 501 senior business leaders involved in driving their companies' AI strategies or implementations revealed that most organizations struggle to develop an executable, integrated roadmap for agentic AI initiatives. The survey found that 42% of organizations are testing small numbers of agents and 43% are expanding deployments of AI agents across functions. Only 15% of organizations have achieved scaled, orchestrated multi-agent deployments across customer service, IT, and engineering.

Also: Business adoption of AI agents tripled this year - as measurable ROI emerges

Business leaders must challenge their dominant logic

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