Everyone Uses AI; Few Organizations Create Value
By 2026, artificial intelligence is no longer a curiosity, but a part of daily work. A leading AI tool has reached approximately 800 million weekly users, equivalent to 10% of the world's population. Despite this, the picture on the corporate side is very different: according to Deloitte's Tech Trends 2026 report, only 11% of organizations have truly put AI agents into production; 35% have no agent strategy at all.
So the real problem is not "using artificial intelligence." The real problem is transforming scattered and experimental uses into systems that are measurable, manageable, and value-generating. Microsoft's 2026 Work Trend Index report also states that "frontier firms" that redesign work around AI are still only 19% — but these organizations are rapidly gaining ground.
Why Do Projects Fail? "Redesign, Don't Automate"
Gartner has a striking prediction: over 40% of agentic AI projects will be canceled by the end of 2027. The reason is not that the technology doesn't work; it's that organizations automate broken processes as they are.
The clearest message in Deloitte's report is this: "Redesign, don't automate" — redesign before automating. Because speeding up a bad process doesn't make it better, it just produces errors faster. Winning organizations start not with technology, but with the problem.
The Real Gap: Not Technology, But People and Measurement
Perhaps the most surprising finding is in the distribution of investment: organizations allocate approximately 93% of their AI budget to technology, and only 7% to people. However, Microsoft's data shows that organizational factors play more than twice the role of individual factors in the impact of artificial intelligence. In other words, value lies not in the model, but in human preparation, the process, and the measurement of the outcome.
This is why leading organizations in 2026 do three things together: measurement (seeing what works), learning (preparing people and teams), and artificial intelligence (using it in the right place, in a measurable way).
MediaRubic's Approach: Measurement × Learning × Artificial Intelligence
MediaRubic's roots are precisely at this intersection: for years, we have been developing measurement and evaluation platforms, training, and learning experiences for organizations. Today, we combine this accumulated knowledge with artificial intelligence.
Within our team, consisting of 3 AI Developers who develop AI products and 2 AI Content Creators who produce AI-supported content, we create solutions ranging from real-time voice AI assistants to corporate RAG chat systems, from image-based measurement to AI-supported evaluation. In other words, artificial intelligence is not a slogan for us, but an area where we develop products every day.
We bring this approach to organizations through two channels:
- Next-generation AI solutions: MediaRubic Technology develops custom AI agent systems, AI-supported measurement and evaluation, and computer vision-based performance analysis for organizations.
- Training that prepares people: MediaRubic Workshop offers practical workshops and guides that enable teams to use artificial intelligence correctly and productively.
Where to Start?
If you want to move artificial intelligence in your organization from scattered experiments to real value, the right first step is not choosing a tool; it's clarifying a problem. You can contact MediaRubic Technology to analyze your needs together and design the most suitable solution for you. Because what matters is not using artificial intelligence, but generating value from it.
