- Report found
- Leadership teams are failing to align on AI priorities, leaving strategies fracture and confusing
- AI is only good as the data behind it, and most data strategies are missing
The bounce in artificial intelligence adoption has compared the cloud boom of the last decade, but when the use is growing rapidly, the understanding remains shallow, the new research has claimed.
A hostinger report found that about 80% of companies now use or use AI to use AI, but one is different. Edco Group The report claims that only 10% of the C-suits leaders believe that their organizations are fully prepared for the disintegration of AI.
Of the estimated 359 million companies worldwide, around 280 million now integrate AI in at least one function.
AI adoption increases, but the strategy and structure falls behind
The increasing number of small businesses is turning to the best AI tool to handle emails, analyzes data or generate materials.
Large companies can build full teams for implementation, but the small firms are quietly absorbed, sometimes abducted, changing operations using the approach.
Nevertheless, readiness does not follow adoption, and there is a worrying difference in strategy, although 60% of the leaders hope that workers have no formal AI policy to update their skills, to update their skills.
The AdECCO found that more than half of CEOs struggle to align their teams on priorities, and only one -third of business data are investing in data infrastructure that will help closure these intervals.
However, a small group of “ready for the future” is constructing more responsible strategies by supporting continuous learning and relying on the enterprise-wide insight to shape its AI direction.
Dennis Machuel, the CEO of Adecco, clearly calls it: “AI-operated changes should be human centered.”
Many companies run into adopting AI without understanding what separates them, resulting in scattered or fruitless projects.
“Without enterprise-wide Insight, AI’s efforts become silent and go wrong. Enterprise architecture can help focus on AI initiative that really separates a company,” the stander explains.
By mapping their unique strength and workflows, organizations can guide AI deployment that strengthens strategic preferences rather than diluted them.
AI depends not only on investment, but also on introspection, and it is not a magic fix – and if companies do not understand what they want from AI, they will not know how to use it, and the result will be destructive.
