As innovations continue to accelerate, the technology landscape in 2026 may reach a turning point, marking a shift from research and development (R&D) to adaptation. This year’s outlook highlights a shift towards smarter, autonomous systems that operate within the physical world. Organizations that embrace this shift may thrive, while those that lag behind may risk losing pace with a rapidly accelerating digital economy.
1. Moving Toward AI Integration
Virtually every industry has begun adopting AI, moving from experimentation to practical, integrated deployment in business operations. Companies have set their sights on practical applications using AI-powered agents and workflows to automate business processes and deliver a return on investment. At the same time, some software as a service (SaaS) providers have worked to integrate new AI features directly into their software to provide greater insight into data and operations. These trends may continue to drive not just technology adoption, but also full-scale business process transformation as companies rebuild their core processes around AI. As AI becomes more deeply embedded into the heart of business operations, companies may begin placing greater importance on AI governance and reporting, both to ensure operational excellence and to demonstrate the return on investment they and investors are seeking.
At the same time, we may see investment continue to flow into the development of new AI technologies. The data center boom might begin to translate into development of new AI models – some of which may seek to deliver industry-specific capabilities, such as pharmaceutical design and scientific discovery. These trends in model innovation may include “physical AI,” where customized models are embedded into robotics and AI-powered machines that interact with their environment autonomously. Physical AI may begin to transform industries like manufacturing, logistics, and healthcare, where AI’s attention to small details may have a significant impact on outcomes. With this, there may be an increased focus on safety and quality control, both for the companies developing and using the technology, as well as for the regulators seeking to maintain effective oversight.
2. Quantum Computing Reaches an Inflection Point
2025 was a watershed year for quantum computing, with technology moving from a research phase into a commercial stage alongside increased private investment and governmental support.
- Technology Development: Major technology companies made progress in developing quantum processors and related techniques last year. Some startups – such as those in the neutral atom or trapped ion space (e.g., Infleqtion and QuEra) – demonstrated practical advantages, while startups in the superconducting space demonstrated improved performance.
- Private Funding: Investors continue to see quantum computing as a burgeoning industry. In 2025, the sector saw around $2 billion in private investment in the United States and around $4 billion worldwide. Some companies completed large funding rounds, such as PsiQuantum ($1 billion Series E) and Quantinuum ($600 million equity capital raise). The latter company recently announced plans for an IPO, as did Infleqtion.
- Government Backing: The bipartisan Department of Energy Quantum Leadership Act authorized over $2.5 billion in funding for quantum R&D. U.S. policymakers have signaled the need to accelerate the adoption of post-quantum cryptography technologies; that effort seeks to ensure that data encryption is not vulnerable to attack from quantum technologies.