Argomenti trattati
On January 27, 2026, NTT DATA, a leading company in the fields ofartificial intelligenceand digital services, released its latest Technology Foresight Report. This annual publication provides a detailed analysis of how advanced technologies likeAIare fueling growth across various sectors. As we enter the age ofmass intelligence, organizations are increasingly focused on integrating intelligent systems that prioritize learning, adaptation, and autonomous operations.
The report outlines six critical trends essential for businesses looking to navigate the complexities of today’s technological landscape. By analyzing these trends, companies can formulate strategies that not only enhance their market presence but also consider the broader interplay between technology, society, and business.
Key trends shaping technology in 2026
Human-orchestrated autonomy
The concept of autonomy is evolving to include systems that can perform tasks independently while remaining under human oversight. Consider a scenario where delivery networks automatically adjust routes during emergencies or customer service platforms resolve inquiries without needing human intervention. This shift represents a move from simple task automation topurpose-led intelligence, where humans define the intent and intelligent systems execute it efficiently.Adaptive autonomyis being developed to ensure that every decision made by machines is accountable and can be revisited if necessary.
Emotionally intelligent systems
The emergence ofemotionally aware systemsrepresents a significant trend in technology. These systems can comprehend human emotions by interpreting vocal tones and body language, enabling them to adjust their responses accordingly. For instance, a digital health assistant that detects anxiety in a patient’s voice can modify its communication style to offer reassurance. This level of emotional engagement not only fosters trust but also enhances the However, it raises important ethical considerations surrounding consent and transparency regarding data usage.
Building trust and informed infrastructure
3. Trust in intelligence
The emergence of autonomous AI systems necessitates a fundamental shift in how trust is established within organizations. As businesses move away from traditional security protocols, they are increasingly adopting frameworks that prioritizeexplainable intelligence. This approach ensures that the decision-making processes of AI are transparent and can be audited effectively.
Moreover, as cybersecurity measures advance, protecting AI systems from biases and manipulations becomes crucial. Implementingzero trust architecturesand continuous verification processes is essential for upholding integrity and maintaining public confidence in these technologies.
Intelligent infrastructure
Modern infrastructure serves as more than just a backdrop; it is evolving into a dynamic catalyst for innovation. Current systems are designed to learn and adapt, enabling them to anticipate needs and optimize performance in real-time. This transformation empowers organizations to identify challenges proactively, rather than merely reacting to them. These infrastructures function across various environments, including cloud platforms and edge devices, making informed decisions that align with economic and regulatory frameworks.
Emerging ecosystems and sustainable practices
5. Sovereign silicon ecosystems
The race for semiconductor innovation is intensifying as nations increasingly recognize the strategic importance ofsilicon control. With the growing demand for AI technologies, there is a noticeable shift from general-purpose chips to specialized processors designed to manage complex tasks effectively. This transition has resulted in the establishment of robust semiconductor ecosystems aimed at securing supply chains and sustaining technological leadership while simultaneously promoting sustainability and ethical practices.
Redefining efficiency
The final trend emphasizes the need to move beyond the relentless pursuit of efficiency towards achievingsufficiency. Organizations are now focusing on resilience and long-term value rather than sheer speed and growth. By leveraging AI and digital twins, businesses can model optimal resource utilization, fostering innovation within constraints. This new perspective prioritizes stability, trust, and
The NTT DATA Technology Foresight Report 2026 invites businesses to consider how they can leverage these insights to create responsible, empathetic, and sustainable technology solutions. As we stand on the brink of a new era defined bymass intelligence, understanding the implications of these trends is essential for navigating the future effectively.