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publish-dateOctober 1, 2024

5 min read

The Strategic Generative AI Investment You Can't Afford to Miss in 2025

Written by

Damanpreet Kaur Vohra

Damanpreet Kaur Vohra

Technical Copywriter, NexGen cloud

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Table of contents

It’s 2025 already and every business leader’s question is no longer if they should invest in GenAI but why haven't they already? While AI has advanced rapidly over the last decade, the rise of generative models capable of producing highly relevant and creative content has opened numerous opportunities for businesses looking to scale.

From financial services and healthcare to retail and media, adopting Generative AI is essential for business growth and the global economy. J.P. Morgan Research estimates that generative AI could add between $7 to $10 trillion to the worldwide GDP by increasing economic productivity by as much as 10%. It’s time for enterprises to realise that the early adopters of this powerful technology are set to lead ahead of their competitors.

In this article, we explore why investing in Generative AI  in 2025 is a move that will pay off for companies both immediately and in the years to come.

Save Your Business Time and Money

Generative AI can generate new content based on existing training data. It has already been adopted across various industries, from healthcare to media and e-commerce. Its ability to reduce the time, money and human effort required for content creation makes it one of the most valuable tools for modern enterprises. In a business environment where agility and efficiency are key, the ability to quickly generate high-quality content- be it text, video, audio or even code is a strategic advantage. There are popular GenAI platforms, including models such as OpenAI’s ChatGPT, Codex and Meta Llama have enabled businesses to scale content production for everything from marketing campaigns to customer support and even product design.

Let’s consider software development where writing, debugging and optimising code can be time-consuming for developers. With generative AI, companies can streamline these tasks by leveraging AI-powered tools to generate efficient, clean code and even identify and fix bugs in a fraction of the time. Tasks that once required extensive manual effort from a team of developers can now be accelerated for faster project delivery and reduced resource costs. For app development or custom software solutions, generative AI can also assist in creating tailored algorithms or features to improve functionality while maintaining high quality.

In sectors like banking and finance, where regulatory compliance and data security are imperative, use cases of Generative AI in finance could be drafting legal documents, analysing contracts and even generating customised financial reports. These solutions show how GenAI is not just about generating content but a productivity tool that could assist companies in various fields like compliance, AI customer service and business intelligence, all with efficiency.

Build Innovative Models and Applications

But it’s not just about short-term gains. As businesses invest more in generative AI, the technology could open new revenue-generating streams. Companies can leverage GenAI to develop new applications like Retrieval-Augmented Generation (RAG) systems for intelligent information retrieval, LLM-based AI chatbots for customer interactions or custom LLMs tailored for domain-specific needs. For instance, a financial services firm could develop a custom LLM trained in regulatory frameworks and market data. This application could help analyse trends, automate compliance tasks and provide clients with personalised investment strategies.

However, building such applications requires scalable solutions and robust infrastructure. So businesses need powerful hardware for AI such as cutting-edge and latest NVIDIA GPUs. But that doesn’t stop there, Generative AI is a powerful technology that requires a solution that is highly scalable and optimised to handle the massive workload and data. We understand this and provide GPU Clusters for AI like the NVIDIA HGX H100, NVIDIA HGX H200 and the upcoming NVIDIA Blackwell GB200 NVL72/36 at scale on the AI Supercloud with optimised features including NVIDIA Quantum-X800 InfiniBand and CPU-GPU connectivity, liquid cooling, high-speed networking and WEKA storage, so your custom models perform optimally and deliver consistent value.

Get Measurable Business Returns

We’ve already seen some early success stories in which Generative AI delivers measurable business outcomes. Take PepsiCo’s “Messi Messages” campaign powered by Synthesia’s AI video platform. Messi fans produced over 7 million videos in eight languages which would have been impossible using traditional video production methods. The campaign’s ability to create hyper-scalable and personalised video messaging is the perfect example of Generative AI delivering significant value by improving customer engagement at a fraction of the cost.

However, Messi Messages is just one example of a “Top-of-funnel marketing” deployment and how GenAI can improve customer experience. Its impact can be felt throughout the entire customer journey. Depending on a specific business area, Generative AI can improve mid-funnel product demos, boost lead generation with personalised customer journeys and drive customer retention with better support services. According to McKinsey, GenAI could drive $2.6 trillion to $4.4 trillion annually to the global economy across various industry sectors. Sectors like banking, high-tech and life sciences are expected to experience the most substantial revenue growth from the technology. For instance, in banking, fully implementing generative AI could generate an additional $200 billion to $340 billion annually. Retail and consumer packaged goods could see a similar boost with potential gains ranging from $400 billion to $660 billion annually.

Keep Customer Experience on Top

Generative AI helps businesses to personalise their interactions with customers through tools that can anticipate needs, generate content dynamically and tailor services at the individual level. For instance, an e-commerce business using AI-generated designs or marketing copy that speaks directly to a customer's preferences and tastes. Or consider a consumer tech company with AI-driven virtual assistants that provide real-time responses and offer personalised product recommendations. A new report “How AI is Changing Employee & Customer Experiences” from RingCentral found that AI independently manages about 41% of customer interactions on average, eliminating the need for live agent involvement across all study participants. In the "success group" of companies—those that saw above-average business improvements due to AI—this figure increased to 51.5%.

And that’s how we know GenAI isn’t just helping businesses create new products or scale up operations, it is improving their value proposition with better customer experiences and reducing unit costs- all contributing to better ROI.

Conclusion

Generative AI is here to transform not only how businesses operate but also how the global economy functions. By helping companies reduce operational costs, increase productivity and create new products and services, GenAI offers profound value for companies looking to invest in their future. The data is clear- the impact of GenAI is far-reaching with massive long-term implications for industries worldwide.

In 2025, businesses must act quickly to capitalise on the benefits of Generative AI. If you're unsure which Generative AI applications are right for your business, we are your AI Transformation Partner. At NexGen Labs, we provide the expert guidance and cutting-edge resources needed to tackle the complexities of Generative AI. 

  • Our AI Strategy Consulting helps you with personalised guidance, readiness assessments, and strategic roadmaps for seamless AI adoption. 
  • With NexGen Cloud’s high-performance NVIDIA infrastructure, we support efficient model development, while our R&D Partnerships provide access to the latest hardware and dedicated clusters for innovative research. 
  • We also offer Technical Training & Workshops to enhance your team’s expertise in AI model training and machine learning. 
  • Our Infrastructure & Deployment Advisory ensures scalable, eco-friendly solutions with GPUaaS offerings.

And voila, we evaluate and integrate the best Generative AI applications, including RAG systems, chatbots and custom LLMs to optimise workflows and drive efficiency in your business.

Speak to An Expert to Get Started with Generative AI

FAQs

What is Generative AI? 

Generative AI refers to AI models that can create new content such as text, images, audio, or code based on existing training data. It is a transformative technology for businesses looking to scale their operations.

How can Generative AI save businesses time and money? 

By automating content creation and software development tasks, Generative AI significantly reduces the time and resources needed for manual processes, enhancing overall efficiency.

What industries can benefit from Generative AI? 

Sectors such as healthcare, finance, retail, media, and technology can all benefit from Generative AI by streamlining operations, improving customer experiences, and driving innovation.

How does Generative AI improve customer experiences? 

Through personalisation, Generative AI tailors content and services to individual needs, enhancing customer engagement and providing dynamic, real-time responses through AI-powered tools.

Why should companies invest in Generative AI in 2025? 

Investing in Generative AI will offer long-term business returns by boosting productivity, reducing operational costs and opening new avenues for innovative product and service development.

How can NexGen Labs help businesses adopt Generative AI? 

NexGen Labs offers AI Strategy Consulting, helping businesses develop personalised roadmaps for seamless AI adoption while providing expert guidance through readiness assessments and tailored solutions.

What infrastructure does NexGen Labs offer for Generative AI projects? 

NexGen Labs provides high-performance NVIDIA infrastructure and GPU-as-a-Service (GPUaaS) offerings, ensuring scalable, eco-friendly solutions to support the development and deployment of AI models.

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