Artificial IntelligenceBusinessNewswireTechnology

AI Adoption Stalls Due to Lack of Training and Support

▼ Summary

AI adoption in enterprises has stalled, with low uptake of “agents” despite hype, due to training gaps, tool access issues, and lack of management support.
– Frontline workers face an AI adoption ceiling, with 51% using AI (down from 52% in 2023), while 72% of all employees use AI regularly.
– Key barriers include inadequate training (only 35% receive sufficient AI training), lack of tools (40% report unmet needs), and insufficient leadership support (only 25% of frontline workers feel it).
– Most AI usage is basic (e.g., ChatGPT deployment), with only 22% of companies developing new AI-driven processes, and job loss fears are higher (41-63%) in regions/companies reshaping workflows.
– AI agents remain poorly understood (35% lack clarity) and underused (13% adoption), but 77% believe they will be critical in 3-5 years, with education seen as key to broader acceptance.

Businesses worldwide are hitting roadblocks in AI adoption, with frontline workers struggling to embrace the technology due to inadequate training, limited tool access, and weak leadership backing. A recent global study by Boston Consulting Group reveals that while 72% of employees now use AI regularly, progress has plateaued, particularly among non-managerial staff.

The research, surveying over 10,600 professionals across organizations of all sizes, highlights a troubling gap: only 35% of workers receive sufficient AI training, and just 25% feel executives actively champion the technology. Without these fundamentals, adoption rates have slipped slightly year-over-year among frontline teams, dropping from 52% to 51%.

Training quality directly impacts outcomes. Employees with five or more hours of instruction, especially in-person sessions or with dedicated AI coaches, demonstrate higher confidence and better results. Yet nearly 40% report lacking proper tools, prompting many to sidestep company policies. Over half admit using unauthorized AI solutions, a figure that jumps to 62% for Gen Z workers, exposing organizations to security risks.

Leadership ambivalence compounds the problem. Companies with clear C-suite support see stronger engagement, but most employees operate without this advantage. “AI is now part of daily work, but frontline teams face an adoption ceiling,” notes the report, emphasizing that strategic investment in training and tools could unlock productivity gains.

Despite widespread ChatGPT deployments, only 22% of firms leverage AI for true innovation, like redesigning core processes. BCG warns that basic chatbot implementations deliver minimal value compared to transformative projects. Organizations prioritizing “reshape and invent” strategies report employees saving time on routine tasks and focusing on higher-value work, yet this shift fuels anxiety. 41% fear job displacement, rising to 46% in companies aggressively reengineering workflows.

Regional disparities reveal deeper concerns. In high-adoption markets like India, Spain, and the Middle East, over 60% of workers believe their roles could vanish within a decade. Broader unease persists around accountability (35%), algorithmic bias (32%), and unchecked AI decision-making (46%).

Agentic AI, touted as the next frontier, remains niche, with just 13% of enterprises embedding it into operations. While 77% predict these autonomous systems will be crucial within five years, 34% of employees struggle to grasp their functionality. Early adopters, concentrated in Brazil, India, and the US, report shifting perceptions: once workers understand agents, they view them as collaborators rather than threats.

The findings align with broader industry warnings. Like Deloitte’s earlier study signaling corporate unpreparedness for generative AI, BCG’s data underscores that success hinges on education, executive buy-in, and intentional process redesign, not just technical deployment. For now, the promise of AI outpaces its practical integration, leaving many teams caught between potential and paralysis.

(Source: zdnet)

Topics

ai adoption enterprises 95% frontline workers ai adoption 90% barriers ai adoption 85% ai training inadequacies 80% lack ai tools 75% leadership support ai adoption 70% basic ai usage vs innovation 65% job loss fears due ai 60% ai agents adoption understanding 55% regional disparities ai adoption 50%
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