75% will integrate
AI by 2026

But 80% of AI initiatives fail

We’ve entered an era where artificial intelligence isn’t just transforming business—it’s redefining the fundamentals of organizations’ capabilities. By 2026, 75% of enterprises will have integrated AI into their operations, with AI projected to inject $15.7 trillion into the global economy by 2030. This isn’t adoption. This is an inflection point that will separate leaders from laggards.

Yet beneath these promising numbers lies a sobering reality: 80% of AI initiatives fail to deliver on their promises.* Organizations are investing billions into AI capabilities while watching strategic advantages evaporate in the dust of failed implementations, siloed in-fighting and misaligned expectations. The gap between AI’s potential and today’s ROI continues to widen. And it’s creating an existential risk and an unprecedented opportunity.

One of the key differentiators between organizations that succeed with AI and those that fail?
AI literacy.

This isn’t about technical proficiency alone—it’s about building organizational intelligence that bridges the gap between AI’s potential and practical value creation. As the European Union’s AI Act crystallizes into law, organizations face a dual imperative: harness AI’s transformative power while ensuring responsible, compliant deployment across every level of operation.

The challenge transcends traditional change management. Leaders must architect a new kind of organizational capability—one where technical expertise meets strategic insight, where governance enables innovation rather than constraining it and where every stakeholder understands their role in the AI value chain.

This ebook offers a strategic framework for building that capability. Whether you’re a CIO
charting a responsible AI roadmap, a business leader seeking to bridge technical and strategic conversations or a decision-maker focused on scaling AI initiatives with confidence, you’ll find actionable insights for transforming AI literacy from an aspiration into an operational reality.
The stakes have never been higher.

In the generative AI era, organizational intelligence will separate market leaders from laggards.
The time to build that intelligence is now.

AI literacy refers to the ability to understand, utilize and govern AI technologies responsibly and effectively. It’s a competency that enables teams to make informed decisions about AI and ensures that deployments align with organizational objectives, regulatory requirements and ethical principles.

According to the European Union’s AI Act, AI literacy is the “knowledge and understanding required to mitigate risks, align systems with human decision-making and comply with governance standards.” It goes beyond technical skills and encompasses an awareness of AI’s broader implications, such as algorithmic bias, privacy concerns and societal impact.

AI literacy and the EU AI Act
"AI literacy is the “knowledge and understanding required to mitigate risks, align systems with human decision-making, and comply with governance standards.”
- 2024 European Union AI Act

Get smart about AI

A manufacturing company using AI for predictive maintenance must ensure its teams understand how the model operates, the limitations of its predictions and the implications of false positives or negatives. Misinterpreting AI outputs could lead to costly disruptions or safety hazards without this understanding.

AI literacy also fosters collaboration between technical and non-technical teams, creating a shared language that bridges silos and aligns efforts.

Learn how Collibra can help with EU AI Act compliance