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    Six Tech Trends to Watch in 2026

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    Technology does not wait for anyone to catch up. Heading into 2026, the organizations pulling ahead are not the ones with the biggest budgets. They are the ones paying attention to where things are going and moving with intention. From AI taking on a bigger role across every function to entirely new ways of delivering services, this year brings shifts worth understanding. Here are six trends shaping how business gets done in 2026.

    Six Tech Trends to Watch in 2026

    1. Artificial Intelligence Becomes Non-Negotiable

    AI has moved past the exploration stage. Organizations across every sector are building it into how they plan, report, and operate, and those still on the sidelines are beginning to feel the distance from those that are not.

    2. Automation Domination:

    Agentic AI can now handle multi-step tasks on its own, without someone managing every step. Think automated reporting, dynamic pricing, and customer intake workflows that run without constant human oversight.

    3. Expecting the Unexpected:

    Volatility is the new normal, and planning tools need to reflect that. Teams using driver-based forecasting and scenario modeling can respond to change quickly instead of rebuilding their plans from scratch every time conditions shift.

    4. The Rise of Physical AI:

    AI is showing up beyond software, embedded in robots, vehicles, and wearable devices that sense and respond to the world around them. Industries like manufacturing, logistics, and health care are already putting it to work.

    5. Service as Software:

    The next step beyond SaaS is not just giving teams better tools. It is AI that performs the work directly, handling tasks end to end so your people can focus on decisions that actually require judgment.

    6. Doubling Down on Sovereign AI:

    As AI handles more sensitive data, questions about where that data lives and who governs it are becoming impossible to ignore. Organizations in regulated industries need a clear answer before they scale their AI investments.

    The organizations that come out ahead in 2026 will not be the ones that waited to see how things played out. They will be the ones that made thoughtful bets on the right tools, built strong habits around their data, and stayed curious about what is coming next.

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    The platform helps finance and operations teams plan smarter, report faster, and stay prepared for what comes next. Get in touch with our team to see how Solver can support your goals in 2026.

    What are the most important technology trends businesses should prepare for in 2026?

     The six technology trends shaping business in 2026 are: the mainstreaming of AI across planning and operations, the rise of agentic automation handling multi-step tasks without human oversight, driver-based forecasting for navigating volatility, physical AI embedded in robots and devices, AI-delivered services that perform work end to end (often called service as software), and sovereign AI governance for organizations managing sensitive data in regulated industries. 

    What is agentic AI and how are businesses using it?

     Agentic AI refers to systems that can execute multi-step tasks independently, without requiring a person to manage each step. In 2026, businesses are applying it to automated reporting, dynamic pricing, and customer intake workflows, freeing teams to focus on higher-judgment decisions rather than routine process management. 

    What is sovereign AI and why does it matter for regulated industries?

     Sovereign AI refers to how organizations control where their data is stored, processed, and governed when using AI systems. For businesses in regulated industries such as financial services and healthcare, data residency and governance requirements mean that AI scale-up decisions must include a clear answer about data sovereignty before broader deployment. A recent Deloitte survey found that 38% of AI leaders consider data residency constraints extremely important to their organization's strategic AI planning. 

    How can finance teams use scenario modeling to handle business volatility in 2026?

     Finance teams can manage volatility by adopting driver-based forecasting and scenario modeling tools that adjust dynamically as conditions change. Rather than rebuilding plans from scratch when markets shift, these approaches let teams model multiple outcomes in advance and respond quickly, keeping planning cycles shorter and decisions better informed. 

    What is the difference between SaaS and "service as software"?

     Traditional SaaS gives organizations subscription-based access to software tools that humans use to complete tasks. "Service as software" (SaS) is the next evolution: AI that performs the work itself, end to end, without requiring human execution. Instead of a subscription to tax software used by an accountant, SaS means an AI agent that completes the tax preparation directly. Venture capital firm Foundation Capital estimates this shift represents a market opportunity potentially worth $4.6 trillion. 

    TAGS: Thought leadership, Xfp&a, Solver copilot ai