AI will impact all IT tasks by 2030

AI will impact all IT-related tasks by 2030according to the forecasts of the consulting firm Gartner, with a work landscape driven by humans, supported by AI, and with everything orchestrated by the Director of Information Systems.

By 2030, therefore, IT managers hope that there will be no IT work where people work without using AI. 75% of these tasks will be carried out by people with the help of AI, and the remaining 25% by AI alone. This has emerged from a Gartner survey of more than 700 IT directors carried out last July.

This implies that companies must balance AI readiness, as well as people readiness, to maintain the value of this technology. On the other hand, the company’s analysts have pointed out that the impact of AI on global employment will be neutral until 2026, and that by 2028 AI will create more jobs than it will destroy.

According to Gabriela Vogel, Vice President and Analyst at Gartner«AI has nothing to do with job losses. It is about the transformation of the template. CIOs must begin to transform their workforce by restricting new hires (especially for positions involving low-complexity tasks) and redeploying talent to new revenue-generating areas of the business.«.

Furthermore, Gartner points out that restricting hiring may help improve productivity and optimize costs, but also that to capture new value, more must be done, and they warn that the workforce must be able to work with AI in new ways. The skills they need are going to change.

Gartner analysts assure that organizations’ skill development plans must go beyond training people in new skills. If people rely too much on AI and stop using its basic skills, they can atrophy. That’s why workers need to be regularly evaluated to ensure they maintain critical skills to perform important roles.

AI readiness must be evaluated in terms of costs, technical capabilities and suppliers. On the cost side, in EMEA 73% of IT directors say their organizations are breaking even or losing money on their AI investments. For every AI tool organizations purchase, they must anticipate 10 hidden costs, in addition to the transition costs of training and change management. Organizations must conduct an analysis and decide what costs they will fund.

Additionally, some AI capabilities such as search, content and code generation, and synthesis are ready. Other capabilities, such as AI accuracy and AI agents, are not. When considering the accuracy of technology and agents, organizations must move from conversational to decision-making agents. They should also invest in AI agents who are experts.

As for vendors, choosing the right one for an organization’s AI needs depends on the type of technology implementation. So, if an organization is planning a massive AI deployment, hyperscalers have the AI ​​infrastructure needed to support a wide range of outcomes.

For industry-specific use cases, startups can offer domain-specific AI agents, deep insights, and capabilities that can deliver immediate benefits.

For rapid innovation and cutting-edge AI capabilities, AI R&D companies are primed for innovation, but they don’t have the scale to be fully enterprise-ready. It must be taken into account that Every decision made regarding AI is a decision of sovereigntyhence AI sovereignty should not be ignored.