2024 witnessed the rise of AI, transforming business operations and customer experiences across the globe.
But the true potential of AI is yet to be unleashed. 2025 promises a convergence of transformative technologies – 6G, quantum computing, and cloud – that will redefine the limits of speed, scale, and security.
This powerful fusion is poised to reshape industries in unexpected ways, addressing long-standing challenges and unlocking a new era of unprecedented opportunities. Here’s how these technologies will combine to shape the future:
Next-Gen Computing Power – Speed, Speed, Speed
With AI becoming integral to emerging technologies, the telecommunications sector is no exception. The convergence of 6G and AI will redefine the technology ecosystem in 2025, significantly boosting the performance of AI applications. This enhanced performance will allow businesses to gain from faster data processing time and real-time decision making, and AI will be the foundation of 6G technology, creating a space where innovation thrives as it powers 6G to ensure data can be transmitted, processed and utilised in real time.
To fully harness this potential, however, business leaders will need to develop an in-depth understanding of the technologies behind 6G and how to best personalise it for the needs of their organisations and shape this new environment. This deeper understanding enables the development of unique, user-centric solutions for evolving customer needs. Engaging with international bodies for standardisation models to bring global experts together to agree on the best methods of practices and advocating for AI-native networks will allow businesses to unlock the full capacity of 6G and AI.
The Quantum Leap
Beyond 6G, another transformative technology that will reshape industries in 2025 is quantum computing. This isn’t just about faster processing; it’s about tackling problems that are currently intractable for even the most powerful conventional systems. Think of the implications for AI training itself – imagine feeding massive, complex datasets into quantum-powered algorithms. The potential for breakthroughs in AI research and development is immense. This next-gen computational power is expected to solve complex problems that were previously deemed unsolvable, ushering in a new era of innovation and efficiency.
The impact of these developments will be felt in a range of industries such as pharmaceuticals, cryptography and supply chains. For instance, in the pharmaceutical sector, quantum computing is set to speed up drug discovery. This includes the potential for rapid simulation of molecular interactions across a multitude of compounds, a task that would take conventional computers years to complete. This accelerated process could not only reduce the time it takes for new
medications to reach the market, but also substantially cut down the costs tied to research and development.
The Infrastructure of Innovation: Cloud and Edge
The rise of distributed cloud models and edge computing will also speed up services and provide value and innovation – placing cloud technology at the centre of every organisation’s strategic roadmap. Leveraging cloud infrastructure allows businesses to rapidly scale AI models, process enormous volumes of data in real-time, and generate actionable insights that facilitate intelligent decision-making. Coupled with the advancements in quantum computing, this creates a powerful feedback loop: faster processing leads to better AI, which in turn fuels demand for even more powerful computing resources.
This synergistic relationship between cloud and AI empowers businesses to streamline operations, cultivate unique customer experiences, develop new products and services, and discover previously unexplored revenue streams, transforming industries like manufacturing and enabling organisations to achieve market agility and secure a lasting competitive edge.
AI’s Expanding Role and Associated Challenges
Whilst AI can bring a range of benefits and use cases, the increasing use of customised AI models will mean that foundational models will not only have to be fine-tuned, but pre-trained. As large language models (LLMs) are trained on massive datasets, biases present in the data can easily creep into the model’s behaviour. To mitigate this, establishing clear guidelines for data collection, curation, and labelling is crucial to reduce bias and ensure fairness. Without high-quality synthetic data, AI models may be trained on biased or incomplete information, leading to inaccurate or unreliable outputs. Gartner predicts that by 2026, 75% of businesses will use Gen AI to create synthetic customer data, so robust AI governance frameworks are crucial to ensuring data quality and accuracy. There is a real fear that poor-quality, algorithmically generated data could harm LLMs as they run out of human-derived training data and as AI-generated text increasingly pervades the web. AI governance can provide the guardrails for the responsible development of AI-driven solutions, which becomes increasingly important in areas such as cybersecurity.
A New Era for Cybersecurity
Alongside AI governance, quantum computing can bring a promising future in cybersecurity, more specifically for our current encryption methods. While traditional computing struggles to generate decryption keys, quantum computing will assist businesses in mitigating future quantum attacks. This is where the convergence of AI and quantum becomes crucial. Increasing worries of “Harvest now, decrypt later” attacks and Post Quantum Crypto Readiness questions will bubble up to the boards of many companies, especially in the BFSI, Telecom, and Government sectors. To overcome this, businesses will need to use AI in cohesion with quantum computing to develop and train new algorithms that are resistant to quantum attacks of the future. These AI-driven cybersecurity solutions will help manage digital security by identifying attacks, trending available data to spot gaps in security controls, and most
importantly, acting on remediating vulnerabilities based on past data, making AI’s role pivotal. This isn’t just about reacting to quantum threats; it’s about proactively building a more secure future by leveraging the combined power of AI and quantum.
Navigating the Future of Converged Technologies
The convergence of 6G, AI and quantum computing in 2025 presents a significant opportunity for organisations to revolutionise their operations, enhance security, accelerate operations and drive innovation at scale. However, realising this potential is not enough. Business leaders must prioritise developing and implementing robust AI governance frameworks, demonstrating a concrete commitment to mitigating bias, ensuring data privacy and promoting responsible AI usage throughout the entire lifecycle of these systems.
Investing in the necessary talent and infrastructure, and fostering a culture of responsible AI adoption, is critical for businesses to thrive in this evolving landscape. This proactive approach will shape a future where AI not only drives innovation but also contributes to a positive and equitable impact on society, creating a world where technology empowers us all.
About the Authors
This article was co-written by Sendil Kumar J, Technology Architect – Connectivity, Wipro Engineering Edge, Caroline Monfrais, Vice President & Europe Head of Consulting, Wipro Limited, Jo Debecker, Managing Partner and global Head, Wipro FullStride Cloud, Ivana Bartoletti, Global Chief Privacy and AI Governance Officer, Wipro Limited and Saugat Sindhu, Senior Partner and Global Head of Advisory Services, Wipro Limited
