- Report finds that the AI Adoption is exploding but most companies skip the hard preparation work
- Leader teams fail to adapt to AI priorities, leaving strategies broken and confused
- AI is only as good as the data behind it and most data strategies are missing
The wave in the adoption of artificial intelligence has provided for comparisons with the cloud pocket in the last decade, but while the use is growing rapidly, the understanding remains low, new research has claimed.
A hostinger report found that almost 80% of companies are now using or planning to use AI, but a separate Adecco group report claims that only 10% of the C-suite leaders believe their organizations are fully ready for the disturbance AI brings.
Among the estimated 359 million companies around the world, approx. 280 million now AI in at least one feature.
AI -Adoption accelerates but strategy and structure lagging back on the back
A growing number of small businesses turn to the best AI tools to handle tasks such as writing e emails, analyzing data or generating content.
Larger companies can build full teams for implementation, but smaller companies transform quietly operations using LEAN, sometimes improvised, approaches.
Nevertheless, readiness does not follow the adoption and there is a worrying gap in the strategy, as although 60% of managers expect workers to update their skills, 34% of companies have no formal AI policy.
Adecco, who found that over half of the CEOs admit that their teams are struggling to adapt to priorities and only one -third of companies are investing in data infrastructure that would help close these gaps.
However, a small group of “future-ready” companies build more responsive strategies by supporting continuous learning and relying on business-provoking insights to shape their AI direction.
Adecco’s CEO, Denis Machual, clearly states: “AI-driven transformation must be human-centric.”
Many companies rush into AI adoption without understanding what sets them apart, resulting in scattered or redundant projects.
“Without company-provoking insight, AI efforts are being silent and incorrectly adjusted. Enterprise architecture can help focus AI-Initiatives on what really separates a company,” explains Stendera.
By mapping their unique strengths and workflows, organizations can guide AI implementations that strengthen strategic priorities rather than dilute them.
AI depends not only on investments but on introspection, and it is not a magic fix – and if companies do not understand what they need from AI, they do not know how they use it and the result will be disastrous.
