Since the invention of the Internet, few technologies have promised to transform the work as radically as artificial intelligence.
According to a recent study conducted with 1,100 IT managers, 95 % believe that the AI transformation wave will be the most intense ever known. 94 % even think that the success of their organization in the next three years will depend on their ability to effectively deploy these new tools.
Nevertheless, it is not because we can adopt the AI that we are ready to do it. Almost 9 out of 10 CIOs (88 %) think that their users will be overwhelmed by this technological surge. Less than half of the employees (47 %) now have the “digital dexterity” necessary to adapt … The race for adoption is launched: companies that will support and train their teams will take a decisive economic advance.
Digital dexterity, a key issue
Digital dexterity designates the ability to learn and use new tools. The stronger it is, the more agile, efficient, and its employees fulfilled. Conversely, the lack of dexterity slows down transformations: 69 % of companies would change SaaS provider if adoption was not an obstacle.
Added to this are the permanent changes: departures, reorganizations … which cause loss of knowledge and the risks of non-compliance. The objective should therefore no longer be simple adoption, but continuous optimization on a large scale of business processes.
With AI, complexity is still increasing. The tools are powerful, but, misunderstood, they can generate misunderstandings and errors. An AI is never more reliable than the data on which it has been formed, and too many users do not know how to assess the validity of its responses.
Change paradigm for the adoption of AI
There is no miracle solution, so it is a question of combining transfer of skills between “Power Users” and colleagues, concrete use cases, and transformation of corporate culture to an “AI-ST” model. The classic methods (documentation, FAQ, etc.) are ineffective: on average, an employee spends 20 days a year looking for how to use his applications! It is necessary to favor in-app support, training on demand, and analysis of uses to adapt the tools continuously.
These approaches improve both productivity and user engagement, as well as their ability to anticipate and adapt to future digital transformations.
Enter the AI era
The AI revolution will lead to changes to change in unprecedented magnitude. Thinking that employees “manage” is illusory. The adoption processes must be rethought in an emergency, because the AI is already there … and we are not ready.
