How AI Agents, Infinite Memory, and Automation Will Reshape Enterprise IT

Artificial intelligence has moved from experimentation to becoming the primary force reshaping enterprise IT. From generative models and autonomous agents to AI-driven application development, the speed, scale, and intelligence of modern systems are redefining how work gets done and how IT teams operate. What once required years of planning and execution is now unfolding in months, driven by AI’s ability to automate, generate, and retain knowledge at unprecedented levels.

This shift is forcing organizations to rethink foundational assumptions about application delivery, security, and governance. AI is multiplying the number of apps and agents in the enterprise, changing how humans interact with software, and introducing new risks around data persistence and control. The following predictions explore how AI, particularly the rise of intelligent agents, large-scale automation, and persistent AI memory, will redefine IT management, cybersecurity, and the future of digital work by 2026.

The Explosion of Apps and Agents Will Transform IT Management

Today, the average IT department manages around a hundred applications. But in 2026 that number will grow dramatically. Creating apps and AI-powered agents will become so fast and easy that IT teams could soon find themselves managing thousands of them – some will exist long-term, while others will be in use only for hours or days.

This explosion will make IT environments far more complex and increase security, compliance, and data management risks. To stay ahead, organizations will need automation and intelligent tools that simplify how applications and agents are delivered, secured, and governed across any platform or cloud.

The future of cybersecurity and IT management will depend on this balance between rapid innovation and strong control.

AI’s Infinite Memory Will Redefine Cybersecurity

In the coming years, one of the biggest concerns for businesses will be what happens to their data inside AI. GenAI models operate in public cloud environments with virtually infinite memory and computational power – they can process anything and remember everything, unlike humans who have finite capacity and natural forgetfulness.

As AI becomes more deeply integrated into business systems, cybersecurity will need to evolve beyond traditional boundaries. In addition to protecting data through secure application delivery models, organizations will need clear policies and guardrails around how data is used, prompted, and shared.

We can’t assume these systems will forget – so businesses must be intentional about what data goes into models, how it’s managed within applications, and how to prevent it from making its way out into the world.

Cybersecurity will be no longer just about securing perimeters or endpoints – it’ll be about much more than that.

The Future of VDI – Delivering Apps and Agents

AI is accelerating the evolution of the tech world at remarkable speed. The rate of diffusion here is unlike anything we’ve seen in decades – it’s moving a lot faster than the cloud revolution.  As a result, traditional VDI will change, shifting from delivering only applications to delivering both applications and agents.

This will make it increasingly important to simplify how applications and agents are published, delivered, and managed through automation at scale. The key questions will be: How easy is migration? How easily can new apps, agents, and desktops be introduced — with fewer human touchpoints but greater control?

IT and developer agility, security, and management will become more and more critical in this next phase of application and agent delivery.

SaaS Isn’t Dead – But It’s Fading Into the Background

SaaS isn’t dead – but it’s changing. System-of-record and mission-critical applications, like CRMs and databases, will remain essential. But there’s a real shift underway: people won’t spend as much time in their apps directly.

Instead, they’ll write agents that connect to those apps through APIs. These agents might not be perfect, but they’ll handle 70% or more of the work users once did manually. In many cases, users won’t even need to open the apps themselves.

As a result, some systems will become less relevant in daily workflows – still important in the backend but no longer front and center. SaaS isn’t dead, but applications will become the invisible backbone powering agents. The less people think about their apps, the more seamlessly they’ll work.

An AI-Driven Inflection Point for the Digital Enterprise

The next era of IT will be shaped not just by more technology, but by more intelligence embedded into every layer of the enterprise. AI-driven agents will multiply faster than traditional applications ever did, transforming how work is executed and how systems are managed. At the same time, AI’s ability to retain and reason over vast amounts of data will force organizations to rethink cybersecurity, shifting the focus from perimeter defense to continuous governance of data, models, and intent.

While SaaS platforms and traditional delivery models will remain critical, they will increasingly move into the background as AI agents become the primary interface between people and systems. Success in this new landscape will depend on how effectively organizations adapt their infrastructure, security posture, and operational models to support AI at scale.

Enterprises that treat AI as a foundational layer, embrace intelligent automation, enforce clear controls around AI memory and data usage, and modernize how applications and agents are delivered will be best positioned to lead. Those that do not risk being overwhelmed by the very intelligence they deploy.

About the Author

Prashant Ketkar serves as chief technology and product officer for Parallels, leading the product and engineering operations that drive the continuous evolution and transformation of the Parallels product portfolio. Ketkar has a bachelor’s degree in Electronics Engineering from the University of Mumbai and an MBA from the Asian Institute of Management.