Accenture/ZDNETResearch from 2025 finds that 77% of executives believe unlocking the true benefits of AI will only be possible when it is built on a foundation of trust, according to the Accenture Technology Vision 2025 report.The Accenture Technology Vision 2025 explores how the future is being shaped by AI-powered autonomy. As adoption of AI accelerates across all businesses and society at a rate faster than any prior technology, 69% of executives believe AI brings new urgency to reinvention and how technology systems and the processes it enables are designed, built, and operated. The ripple effect of AI and its impact will be felt across multiple dimensions, including technology development, customer experience, the physical world, and the workforce. Also: AI agents might be the new workforce, but they still need a managerAccenture identifies four key emerging trends in AI, autonomy, and trust, focused on the following: what happens when AI acts autonomously at the center of enterprise technology, speaks on behalf of your brand, inhabits robotic bodies, and collaborates on behalf of employees.The Binary Big Bang: When AI expands exponentially, systems are upended – As generative AI becomes central to enterprise tech, development costs plummet, new systems abound, and digital agents gain autonomy — transforming applications as we know them.Your Face, in the Future: Differentiating when every interface looks the same – AI agents can personalize customer interactions at scale, but brands must protect their unique voice to avoid becoming generic.When LLMs Get Their Bodies: How foundation models reinvent robotics – Robots with embedded LLMs have generalist versatility, enabling them to take on new tasks in human spaces beyond today’s highly programmed use cases.The New Learning Loop: How people and AI are defining a virtuous cycle of learning, leading, and creating – When generative AI is diffused through an organization, every employee has the full power of their organization behind them, which expands the autonomy of both people and AI over time. More