Davos 2024: AI Focus Shifts to ROI & Adoption – Cognizant’s Hodjat Reports

Davos 2026: AI’s Shift from Hype to ROI – and What Businesses Are Doing About It

The World Economic Forum’s recent annual meeting in Davos, Switzerland, revealed a notable shift in the conversation surrounding artificial intelligence. While AI remained a prominent topic, the initial fervor has given way to a more pragmatic focus on return on investment and responsible implementation, according to Babak Hodjat, chief AI officer at Cognizant Technology.

A Tale of Two Worlds at Davos

Hodjat observed a distinct divergence between the business and political spheres at the forum. The business community demonstrated a keen interest in AI, driven by substantial investments in the technology. However, for political leaders, AI took a backseat to more pressing geopolitical concerns. This marks a change from previous years, where AI often dominated headlines and sparked broader societal debates.

From “Awesome” to Responsible AI: A Cooling of Hype

The initial wave of excitement surrounding AI – the “Wow, AI is awesome” phase – has been tempered by a growing awareness of the need for responsible AI development, safety protocols, and trust-building measures. Businesses are now prioritizing risk awareness and seeking tangible benefits from their AI investments.

The Rise of AI Agents and Internal Adoption

A key area of focus for businesses is the deployment of AI agents to automate internal processes and improve efficiency. Cognizant, for example, has seen significant success with its internal deployment of hundreds of AI agents operating on its intranet. A recent three-month report revealed that these agents completed 11.3 million internal transactions, leading to a noticeable reduction in employee support tickets and a demonstrable return on investment.

Vibe Coding: Democratizing AI Development

To encourage broader adoption of AI within their organizations, companies are exploring innovative approaches like “vibe coding.” This technique, demonstrated at Davos, involves using plain language to communicate desired code functionality to a chatbot, making AI development more accessible to non-technical employees. Cognizant found this approach particularly effective in boosting AI adoption internally.

The ROI Imperative: Aligning AI with Business Value

Despite the enthusiasm for AI, businesses are demanding clear evidence of its value. The expectation for ROI is high, and companies are carefully evaluating the benefits of AI against the costs of implementation. Hodjat emphasized that the timeline for realizing benefits from AI should be viewed in the context of other IT modernization efforts, such as cloud migration and data integration.

Looking Ahead: AI as a Long-Term Investment

The sentiment at Davos suggests that businesses are settling in for a long-term commitment to AI. They recognize that the technology is still evolving and that realizing its full potential will require sustained investment and a focus on responsible development. The focus is shifting from simply exploring AI’s capabilities to integrating it strategically into core business processes.

Pro Tip:

Don’t expect overnight success with AI. Align your AI initiatives with clear business goals and track key metrics to demonstrate ROI.

FAQ: AI Adoption and ROI

Q: What is “vibe coding”?
A: Vibe coding is a method of generating code using plain language descriptions provided to a chatbot, making AI development more accessible.

Q: Is the hype around AI fading?
A: The initial hype is being replaced by a more pragmatic focus on responsible AI development and demonstrable ROI.

Q: How long does it take to observe a return on AI investments?
A: The timeline for ROI varies, but it should be viewed similarly to other IT modernization efforts like cloud migration.

Q: What are AI agents?
A: AI agents are software programs that can perform tasks autonomously, often used to automate internal processes and improve efficiency.

Did you know?
Cognizant’s internal AI agent deployment completed 11.3 million transactions in just three months, significantly reducing internal support tickets.

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