Many Companies Are Chasing AI, But Few Are Innovating

Many Companies Are Chasing AI, But Few Are Innovating

Companies are investing in AI, but few are using it as a revenue growth engine or as a tool to improve customer experience.

In late 2022, the massive emergence of ChatGPT marked a turning point in the history of technology. Since then, Artificial Intelligence (AI) has ceased to be the exclusive domain of specialists, becoming a resource accessible to millions of users and organizations worldwide. Today, just three years after this boom, the impact of this democratization is beginning to become visible: more agile processes, unprecedented speed in data access, and an expansion of capabilities that rival the internet revolution.

EPAM's report, " From Hype to Impact: How Enterprises Can Unlock Real Business Value with AI, " offers a promising perspective on AI adoption. Forty-nine percent of companies globally already consider themselves advanced in AI. While only 5% have managed to translate that maturity into truly disruptive innovation, the majority of organizations are leveraging AI to improve productivity and operational efficiency. This demonstrates that companies have already mastered speed and scale, and now have a significant opportunity to channel that momentum toward new avenues of innovation and growth.

This finding reveals a stark reality of our times. Companies are investing in AI, but few are using it as a driver of revenue growth or as a tool to enhance customer experience. And that's where the true value of this technology lies. The quick wins of automation are relevant but limited. If AI isn't integrated into the long-term corporate strategy, it risks becoming an isolated, tactical resource that has little impact and even less transformative effect.

Companies worldwide are projecting growth in their AI budgets, although current studies estimate a more moderate average increase of around 5–6% annually across global countries. Even so, some organizations already operating AI at scale aim to allocate a significant portion of their future profits to these initiatives. However, the real challenge lies in the human factor. 

Another interesting finding from the report is that 43% of companies plan to hire AI specialists in the next twelve months. This percentage rises to 47% for disruptive companies. However, hiring expert talent is not enough. Success depends on leaders' ability to articulate culture, processes, and strategy around technology. An organization can deploy the most sophisticated algorithms, but without comprehensive change management, that investment will be little more than a brilliant experiment in a laboratory disconnected from the real business.

AI alone doesn't bring about transformation. What transforms things are the people who know how to use it with a strategic vision. The synergy between data, culture, and leadership is what allows innovation to move beyond mere window dressing and become a sustainable competitive advantage.

What's the next step? Companies must broaden their horizons beyond efficiency to transform AI into a driver of growth and differentiation. This involves focusing on three priorities:

1. Putting the customer at the center, making the experience a terrain of continuous innovation.
2. Focus adoption on revenue and strategic value goals, not just cost savings.
3. To orchestrate in a coordinated manner technology with security, governance and human teams prepared to innovate.

The AI ​​revolution will not be remembered for those who reduced operating times, but for those who reinvented entire industries. The difference between being at the forefront and falling behind lies not in the software itself, but in the strategic ambition with which it is leveraged.

Original article published here in Spanish.

Read the full report, “From Hype to Impact: How Enterprises Can Unlock Real Business Value with AI,” here.