Unisys: How AI & Quantum Tech Will Impact Global Tech

Approaching 2025, the enterprise technology market is being shaped by AI, changing workplace dynamics and mounting environmental concerns.

Looking at these challenges, Unisys has released its IT Insights report, identifying eight crucial trends that are set to impact how organisations operate in the future.

This forecast comes whilst Gen AI has altered business expectations and capabilities.

Simultaneously, organisations are still adapting to post-pandemic operational models, sustainability imperatives, navigating regulations and economic uncertainty.

The timing of these predictions is especially pertinent as enterprises face mounting pressure to make strategic technology investments amid economic uncertainty. 

Unisys's analysis draws on eight key trends spanning across AI, cloud computing, workforce dynamics and security considerations, providing a holistic view of the challenges and opportunities that lie ahead.

Natural language reigns as the AI default

Unisys believes that the next wave of AI development will focus on more intuitive, voice-driven interfaces that move beyond traditional screens and keyboards.

According to Unisys, organisations should prepare to integrate conversational AI and explore voice and gesture interfaces to enhance user experience and efficiency.

This shift towards natural language interfaces is expected to revolutionise how users interact with technology, making it more accessible and user-friendly.

Shift to smaller AI models and edge computing

The report also suggests that smaller, specialised AI models combined with edge computing often outperform larger models in business applications.

This approach can reduce costs, improve latency and enhance security by processing data closer to its source.

Edge computing allows for real-time data processing and decision-making, which is crucial for applications such as autonomous vehicles, industrial IoT and smart cities.

Strategic hybrid cloud use grows

Rising cloud costs are driving a shift back to hybrid approaches, according to Unisys.

It recommends that organisations evaluate cloud costs against business value and develop clear migration criteria to optimise resources and ensure compliance.

This trend reflects the growing need for flexibility and cost-effectiveness in IT infrastructure management.

Post-quantum cryptography emerges as indispensable

As quantum computing advances, the potential to break current encryption methods increases.

Unisys advises companies to adopt post-quantum cryptography standards, identify vulnerable systems and update encryption protocols to protect data from future quantum threats.

This proactive approach is essential for safeguarding sensitive information in the long term.

Embrace entry-level talent as AI adopters

Unisys also highlights the value of entry-level workers in AI implementation, noting their digital fluency complements experienced teams' business knowledge.

It recommends prioritising hiring young talent and creating mentorship programmes to blend fresh perspectives with seasoned expertise.

This approach can foster innovation and help organisations stay ahead of the curve in AI adoption.

Three-day hybrid work model becomes the new sweet spot

A balanced three-day in-office schedule is expected to enhance productivity and flexibility.

The report suggests companies strengthen remote engagement tools, design collaborative office spaces and support mental health initiatives for remote workers.

This hybrid model aims to combine the benefits of in-person collaboration with the flexibility of remote work.

Energy-efficient AI fuels competitive advantage

Sustainable AI practices can differentiate companies and reduce environmental impact, according to Unisys.

As a result, the company advises monitoring AI energy usage, adopting efficient architectures and considering alternative energy sources to improve performance at lower costs.

This focus on sustainability aligns with growing environmental concerns and regulatory pressures.

AI compliance requires localisation

Diverse global data regulations are also pushing companies to adapt to localised operations.

Unisys recommends establishing governance frameworks, complying with regional data rules and providing clear AI usage guidelines to ensure compliance and protect data integrity.

This trend underscores the importance of navigating complex regulations in the global AI market.

Peter Altabef, Unisys Chair and CEO, says: "Business leaders today are on the cusp of extraordinary opportunities and face unprecedented complexities as innovations reshape the organisational landscape.

“Unisys' IT Insights for 2025 is a blueprint for aligning technology with the dynamic demands of business, environmental sustainability and regulatory compliance.”

He concludes: “The report’s findings empower leaders to harness these trends as a strategic roadmap that will help them seize competitive advantage and secure long-term success.”

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