At the end of 2025, passion for artificial intelligence will face severe scrutiny. If advances are insurmountable, the shadow of a potential technology project and Generativa IA (GenIA) projects with implementation difficulties requires a strategic response. At SAS, before 2026 is the year the accounts are released, with Return Inversion (ROI) and rules going to be the cornerstones of the company’s success.
The message from our experts is clear: for IA to truly help and benefit people and organizations, it is essential that suppliers as users take full responsibility. The path to accelerated innovation depends on adopting reliable data management and IA fundamentals.
Here are some of the people Predictions How to set the institutional agenda for 2026:
1. Real ROI Necessity: End of “Testing Step”
With significant shifts in internal audit tools without a core strategy, CFOs demand reasonable results. Those companies that do not demonstrate tangible gains, increased inputs or sustainable productivity improvements in the 6-12 month arena will open their suspended projects or replaced suppliers. “Cost of consultation” and accuracy will be monetary measurements.
2. The new role of the CIO: Chief Integration Officer
The CIO function has evolved decisively. In 2026, the CIO will strive to be a technology specialist only to transform into Integration Manager. Its mission will be to have an ecosystem with non-existent IA agents alone, provided that it is integrated under strong management and a cohesive IT architecture.
3. Agent Artificial Intelligence: Sus nuevos colaboradores digitales
We are entering an era where IA agents have no tools, and are equipment buddies. In 2026, companies operate with hybrid groups of humans and autonomous agents who execute tasks, compare context, and constantly learn. In fact, I hope that Fortune 500 companies (the annual list of the 500 largest companies in the world) EE.UU (through entries) report that their systems’ agents independently produce greater than a quarter of a fraction of complete interactions with customers.
4. IA is for improvement, not replacement
Leaders will make a strategic decision: use AI to remove business difficulties or enhance human talent and create competitive opportunities. At SAS, we ensure that IA empowers people. Successful organizations are those that work hard to navigate and inspire cultural change in some way.
5. The rise of data vigilance and hybrid IA
In 2026, the argument will not be used or not, but he must have real control over the information. Organizations, especially in regulated sectors, adopt designs Aya Soberana. This allows companies to implement AI models within their own security and fidelity limits. Companies rely on external generic solutions to run customized systems that respect privacy and local standards.
6. Sunni data: the new battlefield
Before high-quality real data and privacy constraints escape, synthetic data is emerging as a strategic weapon. In 2026, efficiency is about what can generate real-world technical data that allows for the development of experimental capabilities that contain core business benefits.
Do you want to direct your organization?
Thanks to the increased publicity of the accounting step, responsible innovation is only being revived. The market rewards disciplines that focus on the basics: data collection, solid data modeling, and interpretable data management.
On SAS Colombiawe are ready to accompany in this transition, making sure that IA delivers not only one promise, but a driver of food impact and a tradition of its organization.
(tags for translation)IA
