If you think almost every assumption about work has already been challenged, prepare for even more rapid change in 2026.
What is the key driver? Agent AI.
Because while major paradigm shifts are already occurring in where we work, how we work, and who we work with, the biggest transformation is still upon us.
This is the consensus opinion of Cisco's workforce technology experts, including Lawrence Huang, senior vice president and general of Network Platforms and Wireless. Snorre Kjesbu, Senior Vice President and GM of Cisco Collaboration. Aruna Ravichandran, Senior Vice President and CMO of AI, Networking and Collaboration; Vinod Muthukrishnan, VP and GM of Webex Customer Experience. Austin Lin, Vice President of Network Platform Product Management. Bob Cicero, Americas Director, Potential Workplaces.
All shared their predictions about the profound changes AI will bring to the workplace. Its impact on leadership, security, customer experience, and more. We'll also explain how your organization can thrive amid the big changes in the coming months.
Connected intelligence: human to human, human to AI, AI to AI
Perhaps the most comprehensive workplace trend of 2026 will be around what Cisco calls connected intelligence. This is a new collaboration model that brings together people and people, people and AI, and increasingly, AI and AI.
“By 2026, the workplace will evolve not with more apps and digital assistants, but with connected intelligence that brings people, data, and digital workers together,” Ravichandran explained. [AI agents] Please cooperate together. ”
Cultural and geographical barriers are also broken down.
“Connected intelligence removes the limitations of geography and individual capabilities,” she continued. “Knowledge and expertise moves instantly where it’s needed. Digital workers surface contextual insights, silently automate workflows, and keep work moving forward, without hindering human creativity or decision-making.”
This means that the agent AI effectively becomes a member of an integrated team.
“We are used to talking about closing the distance between people. But by 2026, we will be closing the distance between people and AI, and even between different AIs. We will begin to rely more on our AI colleagues, experts who can handle everything from summarizing meetings to translating languages and even providing expert recommendations.”
Modern networks fit for AI
The widespread acceleration of AI usage and capabilities will place new demands on infrastructure. And Huang sees enterprises changing the way they build their networks to support the next generation of AI applications while increasing security to protect against next-generation threats.
“Enterprises will need to think about new business outcomes and which AI use cases will account for them to drive and modernize network infrastructure,” said Huang. “This includes exponential growth in network traffic, latency requirements, moving AI inference closer to where data is generated, and the ability to identify, segment, and secure each user, agent, and service.”
Given that powerful AI capabilities are moving to the edge, Huang sees a key benefit in bringing network intelligence there as well.
He said, “As enterprise AI matures, we'll see frontier models converge, agents proliferate, and efficient models move to the edge.”
AI-driven environments will further transform the way workplaces function.
Cicero predicts that “agent AI will leverage data from Wi-Fi, sensors, and connected devices to make real-time adjustments.”
“For example, on winter days when there are fewer people, AI can automatically adjust thermostats, dim lights, turn off power in unused spaces, and suggest collaborative work areas to reduce energy consumption while meeting sustainability goals,” he explained.
Simplify IT operations with AI
From an IT perspective, all of this may sound complicated. However, Cisco's workforce of technical experts has seen a major shift towards simplicity on the networking side. As Lin predicts, AI-powered NetOps, predictive analytics, and generative user experiences will transform the way enterprises design, manage, and secure their digital infrastructure.
“What started as AI-assisted troubleshooting evolves into AgenticOps,” Lin says. “IT teams will be able to empower their organizations with digital workers who autonomously support parts of the network lifecycle. These agents will help detect anomalies, correlate root causes, monitor configuration drift, remediate issues, and continuously optimize performance in a closed-loop manner. These digital agents will free up IT professionals to focus on defining service expectations, policies, and business intent, delivering a more seamless and efficient experience for organizations.”
Ravichandran agreed.
“In 2026, networks powered by intelligent AI agents will manage complexity in the background, constantly learning and adapting to provide seamless connectivity. This new partnership means IT teams can focus their talent on driving strategy and innovation, while AI ensures networks are resilient, responsive and always move at the speed of business,” she highlighted.
When AI and CX meet
In 2026, the way consumers and brands interact will be redefined as consumer and business environments converge. As AI-powered assistants and intelligent, human-like concierge agents become the new face of customer interactions, organizations must seamlessly blend human and digital teams and leverage new workforce engagement tools specifically designed to optimize this hybrid workforce, delivering faster resolutions and more connected customer journeys.
“In 2026, rapid advances in AI multi-agent collaboration and orchestration will enable new levels of automation and the creation of brand concierge agents,” Muthukrishnan said. “Agentic AI enables us to reimagine the workforce for a new era where AI agents work alongside human agents to deliver true connected intelligence and superior customer experiences.”
Muthukrishnan predicts that these technological advancements will significantly change the role of human agents by 2026 and force organizations to adopt new staffing models.
He predicted, “Innovations in areas such as AI-powered workforce engagement tools such as quality control and AI routing, and real-time voice-to-speech translation will be leveraged. These innovations will fundamentally transform the way organizations manage and optimize hybrid teams of AI and human agents, working together seamlessly to deliver true connected intelligence.”
Evolving security, trust, and leadership
Trust is essential in times of rapid change. And organizations must prioritize ethics, compliance, and transparency to build trust in AI.
Of course, security is a big part of trust. And without it, AI isn't going anywhere.
By 2026, enterprises will need to take a more “blended” approach to security, Krzesve stressed. “Protection is built in at every layer, from the edge to the cloud to the core. With AI built into everything, we'll need smarter, more adaptive security that can respond to new threats. And we'll need to think about how security and network management work together rather than in silos.”
At the same time, leaders need to adapt. Many leaders still struggle with managing employees who are in the office, at home, or thousands of miles away. But in 2026, they'll be managing teammates who aren't even human. However, trust, empathy and communication are as important as ever.
“Organizations that lead in 2026 will embrace open, interoperable ecosystems built on trust,” Ravichandran concluded. “By integrating secure connectivity and intuitive built-in AI, we are creating a workplace where people and digital workers work as one, enabling new levels of agility, creativity, and performance.”
The opportunity in 2026 is to leverage both technology and human skills to unleash the best that your team has to offer.
Ravichandran believes that “collaboration becomes a strategic advantage, complexity fades into the background, and work ultimately moves at the speed of ideas.”
Written by Kevin Delaney, Cisco Global Communications Senior Writer
