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Do artificial intelligence (AI) truly create value for corporations?

With the escalating use of AI, companies need to transition past the buzz and concentrate on tangible results.

In the rapid expansion of AI integration, companies need toshift focus from buzzwords to tangible...
In the rapid expansion of AI integration, companies need toshift focus from buzzwords to tangible results.

Do artificial intelligence (AI) truly create value for corporations?

AI's Role in Modern Business: Separating Hype from real Value

Artificial Intelligence isn't merely a buzzword in today's world - it's the key driver propelling innovation and competition across industries. Businesses are tweaking their operations, decision-making processes, and value delivery systems to stay afloat in this AI-dominated landscape. Over the coming five years, AI's influence on these businesses is set to be a deciding factor in whether they outperform the competition or fall behind.

However, an essential question persists:

Is AI truly driving tangible value for businesses, or are they still languishing in pilot projects and theoretical concepts?

Let's examine if AI is delivering real-world benefits or if its potential remains unfulfilled for most companies.

According to a survey conducted by Valantic, a staggering 70% of responding businesses claimed that the use of Applied AI has already delivered measurable value within their organizations. These gains aren't limited to operational improvement but encompass financial growth as well. 36% of respondents reported increased profitability, 34% witnessed a rise in profits, and 28% experienced higher revenue. The financial impact of AI tended to fall between 10% and 39%, varying with specific AI use cases.

From these numbers, it's evident that AI has departed from the realm of long-term aspirations and has begun delivering tangible returns for progressive organizations. Successful implementations frequently involve integrating AI into core business processes instead of viewing it as an isolated exercise. Be it intelligent forecasting, automated processes, or personalized customer experiences, Applied AI is showing remarkable potential when aligned with concrete business objectives.

However, not all businesses have reached this stage. Many still face challenges scaling beyond pilot projects due to data silos, skill gaps, or unclear ROI metrics. To transition AI from hype to genuine value creation, businesses need more than just the right technology - they require strategic clarity, cross-functional collaboration, and a focus on measurable outcomes.

With escalating economic pressures and digital rivalry, the motivation to nail AI has never been higher. Companies that view AI as a strategic asset - rather than a passing trend - are already reaping rewards.

So, do businesses really harness value from AI?

The answer is increasingly "yes" - but only when deployed with foresight, precision, and a long-term vision.

Insights from Enrichment Data:

  • AI Adoption: By 2025, 78% of companies are anticipated to embrace AI technologies[5], signaling its widespread adoption across various domains.
  • AI in Operations: Around 40% of global companies are tapping AI, with India leading the charge[2]. However, the effectiveness of these implementations still needs to be analyzed.
  • Benefits of AI: AI boosts business efficiency, with 28% of business leaders utilizing AI to trim costs[1]. However, the statistics do not directly illustrate the overall effectiveness of AI implementations in generating real-world value. To obtain a clear understanding of AI's impact, more specific data on the efficiency of AI implementations is required.

In light of the survey conducted by Valantic, it appears that a significant number of businesses are indeed experiencing tangible value from the use of Applied AI, with gains encompassing operational improvement, financial growth, and increased profitability. However, many businesses still face challenges in scaling AI implementations beyond pilot projects, necessitating strategic clarity, cross-functional collaboration, and a focus on measurable outcomes. To fully capitalize on the potential of AI, companies need to view it as a strategic asset and embark on its deployment with foresight, precision, and a long-term vision.

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