2026 technology industry trends Our Insights

The need to fine-tune models on proprietary data, manage data sensitivity, and deploy low-latency inference is pushing organizations toward hybrid, private, multi and sovereign cloud models, and not by exception. Tech providers that can help businesses tap into open-source AI models and deploy them on-premises securely will help bring the best of public and private cloud worlds to enterprises.84 But it’s likely that, going forward, businesses will seek to adopt the right hybrid blend of cloud infrastructures that fit their specific needs—balancing ease of implementation, flexibility, data security and control, and data sovereignty considerations. Recent research suggests that many businesses are already implementing private clouds with the help of virtualization and private cloud management.78 Some are also aiming for software-defined storage and API-consistent hardware to enable seamless integration of different infrastructure components and to build a hybrid environment. A major factor for building consumer trust appears to be how well gen AI providers manage and provide control over the data they collect.47 The Deloitte Connected Consumer Survey found that only 17% of gen AI adopters feel that their technology providers supply “very clear” data privacy and security policies and give them “very easy” control over their data.48 But in this group, 69% report high or very high trust that their gen AI providers will keep their data secure, while only 8% report low or very low trust. Nearly a third of tech leaders surveyed by Deloitte report rapid adoption of gen AI by their companies—compared with 11% of leaders in other industries—and gen AI tools and applications are widely available to their workforces (figure 1).40 In tech companies, at-scale implementations are progressing fastest in IT (including cybersecurity), followed by product development and research and development—outpacing nontech organizations.41

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What is the impact of generative artificial intelligence on the industry?

Tech leaders should consider a mix of approaches that could enable them to emerge from a downturn with the right tech, talent, and growth opportunities in place. A major challenge now for tech companies is how to weather a potential economic slowdown by trimming costs, increasing efficiency, and growing revenues. While tech stocks outperformed during the pandemic pressures of 2020–21, the sector led considerable stock market declines in 2022. But there are many regulatory incentives that may spur innovation and growth in 2023 and beyond.

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How can manufacturers harness agentic AI to help reshape their business and create value across their organizations? The aerospace and defense sector is entering a new phase of expansion, driven by advancements in AI, digital sustainment, and increasing demand across both commercial and defense markets The authors would like to acknowledge the support of Clayton Wilkerson for orchestrating resources related to the report; Kimberly Prauda and Neelu Rajput, who drove the marketing strategy and related assets to bring the story to life; Courtney Flaherty for her leadership in public relations; Elizabeth Payes, Anu Augustine, and Aparna Prusty from the Deloitte Insights team, who supported the report’s publication; and Harry Wedel for the visual design. The authors would like to thank Vrinda Garg for her key contributions to this report, including research, data collection, and analysis. The AI-fueled data center boom, investments in semiconductor manufacturing, and supportive policies could present new growth opportunities. Manufacturers could also leverage technology to enhance their talent sourcing, screening, and training processes, including a shift to granular, skills-based workforce modeling and planning.

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• Built-in monitoring also includes different agents checking each other’s work, and for higher-risk scenarios, these agents come from different model providers.
• 2025 has been a dynamic year for the UK tech sector.
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She has also held key leadership roles within Deloitte  US, such as leading finance digital transformation for major technology practices. She also serves as the global lead client service partner for a Fortune 100, leading technology company. Gillian has been with CyberPress: Digital news and insights Deloitte for more than 25 years and has worked in both the UK and the US across sectors including energy, healthcare, consumer products, and technology and enjoys being at the heart of industry convergence. Satellite connectivity sees direct-to-device growth but often faces monetization hurdles, while low-Earth-orbit data expansion and tech advancements help reshape deployment and resilience, and create regulation complexities Success will likely hinge on balancing innovation with moderation, as unchecked generative video could disrupt business models, accelerate misinformation, and further fragment society’s shared sense of reality. Over the next decade, significant investment will flow into cloud computing, semiconductors, data centers, AI models, connectivity, and satellite communication efforts.