Navigating the Future of Technology in Life Sciences and Healthcare
Introduction
Nearly half of all consumers are already using generative AI for health advice1. They are becoming the ‘CEOs’ of their own health, seeking more convenient, personalised models of care. For Life Sciences and Healthcare (LSHC) organisations, this is a present-day reality that leaders and technologists are actively responding to.
This shift is driving an unprecedented focus on technology, with artificial intelligence at the forefront. Discussions are rapidly evolving from traditional AI to large language model chatbots and more recently, AI 'agents' – autonomous systems that can perform complex tasks on behalf of a user or an organisation.
While AI currently captures the headlines, implementation challenges – both new and familiar – are common across the entire technology spectrum. For LSHC leaders, success depends on navigating complex regulations, overcoming legacy systems, and embedding effective change across people and processes. A critical and persistent question remains, how to harness the right technologies to support their strategic imperatives, rather than impede them.
The organisations best positioned to thrive will be those that can earn and maintain the trust of these new ‘CEOs’ of health as well as navigate a myriad of technology opportunities. This means delivering personalised experiences and redefining care as a lifelong partnership, with technology strategically positioned as the key to unlocking innovation, streamlining operations, and enhancing the consumer experience.
So, how are leaders bridging the gap between ambition and reality? Our research provides a fresh perspective on five key trends from our 2026 Tech Trends report2 that are shaping the technology landscape.
Trend summaries
- Agentic AI is reshaping LSHC: nearly a third of organisations now regard it as strategically important. With 38% of entities piloting agents and 11% already in production2, momentum is clear, presenting a pathway to scale as organisations refine processes, build trust and integrate people and machines. Agentic AI automates complex value-chain tasks and accelerates innovation; organisations that redesign operations, skills, and governance will unlock greater impact.
- AI goes physical: projections estimate 2 million humanoids in workplaces by 2035 and 300 million by 20502; a market that could rival major industries within 25 years. For LSHC, and especially MedTech, adaptive robots and AI-enabled devices promise step-change gains in diagnostics, imaging and surgical support, improving precision, patient outcomes and operational velocity.
- An AI Infrastructure reckoning is allowing LSHC organisations to refine their compute strategies for AI-driven innovation. Despite token costs decreasing 280-fold in two years2, enterprises are making strategic investments in infrastructure to support compute-intensive workloads such as genomics and clinical trials, with some experiencing monthly expenditures in the tens of millions, reflecting the ambitious scale of their AI initiatives. Data sovereignty, patient privacy, and intellectual property protection are paramount, leading to the adoption of hybrid architectures (cloud, on-premise, edge) to achieve an optimal balance of cost-effectiveness, agility, and security. On-premise deployments are proving highly economical when cloud costs surpass 60% to 70% of equivalent on-premise systems2, providing tailored solutions for sustained strategic growth.
- The great rebuild focuses on establishing AI-native technology organisations, where AI serves as a central driver of strategic innovation. This fundamental restructuring of organisational frameworks, governance, and leadership is yielding leaner, more agile, and AI-integrated models that continuously learn and optimise. A significant 64% of organisations plan to increase AI investments over the next two years, and 78% of technology leaders anticipate broad integration of AI agents into architecture workflows within five years2. For LSHC, this translates into "AI-native" investments, skill-based operating models, and robust ethical frameworks that foster seamless human-machine collaboration, thereby enhancing efficiency and accelerating progress in commercial and research and development applications.
- The AI dilemma underscores AI's potent capabilities in strengthening cybersecurity. For LSHC, AI represents a critical instrument for reinforcing patient safety and data protection. Healthcare organisations project 14% of technology budgets will be allocated to cybersecurity tools, reflecting a strong commitment to leveraging advanced solutions. Organisations are actively deploying AI for enhanced cyber defence, concentrating on robust governance, secure AI development, and upskilling their workforce to proactively safeguard sensitive data and uphold trust within an increasingly digital environment.
These five trends provide a view of how technology is being used to innovate and improve the future of patient care and health outcomes. The gap between organisations that act decisively and those that hesitate is widening.
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