Software publishers and IT service companies leverage AI to increase productivity. Yet, CIOs observe that these gains do not always translate into tangible benefits for their organizations.
Introduction
With the rapid rise of artificial intelligence (AI), many players in the IT sector are seeing significant productivity increases. Software publishers and IT service companies (ESNs) are leveraging these technologies to automate tasks, improve the quality of their deliverables, and reduce development timelines. However, this productivity improvement does not always seem to benefit the information systems departments (CIOs), who are beginning to question the real value AI brings to their projects.
Increased Productivity on the Supplier Side
IT solution providers have quickly integrated AI into their internal processes. Code automation, AI-assisted generation, and predictive analytics tools allow for an increased production pace while maintaining a high level of quality. These gains often translate into cost reductions and a better ability to meet client needs within shorter deadlines.
ESNs, in particular, benefit from these advances to optimize resource management and improve team efficiency. Software publishers, meanwhile, use AI to accelerate research and development, detect anomalies more quickly, and offer more frequent updates.
A Gap with CIO Expectations
Despite these advances, CIOs express some frustration. According to several recent studies, the productivity gains observed among suppliers do not always result in cost reductions for clients or improved responsiveness in project management. Some CIOs even note increased complexity in communications, linked to the sometimes heterogeneous integration of AI tools into existing processes.
This gap is partly explained by the fact that suppliers use AI to optimize their own operations rather than to rethink collaboration with their clients. Furthermore, AI benefits are sometimes absorbed by internal needs for upskilling or team adaptation, without a direct impact on the value delivered to CIOs.
Challenges of AI Integration on the Client Side
For AI to fully benefit CIOs, a more collaborative approach is essential. IT departments must be involved from the initial phases of projects to clearly define objectives and performance indicators related to AI. This notably involves:
- Defining concrete use cases aligned with business strategy
- Ensuring transparency on the real contributions of AI solutions
- Implementing continuous evaluation processes of results
- Promoting change management support for internal teams
Moreover, CIOs must invest in training and upskilling their employees to better understand and leverage the AI tools offered by suppliers. This technological maturity is a key factor in transforming productivity gains into tangible operational benefits.
Perspectives and Recommendations
Artificial intelligence represents a major opportunity for the entire IT chain. However, to prevent its benefits from being confined to suppliers, better integration and strengthened collaboration are essential. CIOs have a central role to play by steering these transformations with a clear vision of business and technological objectives.
It is also recommended that CIOs:
- Regularly assess the impact of AI solutions on their processes
- Demand clear commitments from suppliers regarding expected results
- Foster long-term partnerships focused on co-innovation
- Encourage experimentation to identify the most relevant use cases
In conclusion, while AI undeniably boosts supplier productivity, CIOs must remain vigilant to transform these advances into genuine value levers within their organizations.
