Artificial intelligence has moved from an experiment to a major force reshaping enterprise IT. From generative models and autonomous agents to AI-driven application development, the speed, scale, and intelligence of modern systems is redefining how work gets done and how IT teams operate. What once took years to plan and execute can now be accomplished in months thanks to AI's ability to automate, generate, and retain knowledge at unprecedented levels.
This change is forcing organizations to rethink fundamental assumptions about application delivery, security, and governance. AI is increasing the number of apps and agents in the enterprise, changing the way humans interact with software, and creating new risks around data persistence and control. The following predictions explore how AI, specifically the rise of intelligent agents, large-scale automation, and persistent AI memory, will redefine the future of IT management, cybersecurity, and digital work by 2026.
The explosion of apps and agents is transforming IT management
Today, the average IT department manages approximately 100 applications. But by 2026, that number will increase dramatically. Creating apps and AI-powered agents will be so quick and easy that IT teams will soon be managing thousands of apps. Some are present for a long time, while others are only used for a few hours or days.
This explosion adds complexity to IT environments and increases security, compliance, and data management risks. To stay ahead, organizations will need automation and intelligent tools to simplify how they deliver, secure, and manage applications and agents across any platform and cloud.
The future of cybersecurity and IT management depends on this balance between rapid innovation and strong control.
AI’s infinite memory redefines cybersecurity
One of the biggest concerns for businesses over the next few years will be what will happen to the data in AI. GenAI models run in a public cloud environment with virtually unlimited memory and computing power. Unlike humans, who have finite abilities and natural forgetfulness, GenAI models can process anything and remember everything.
As AI becomes more deeply integrated into business systems, cybersecurity must evolve beyond traditional boundaries. In addition to protecting data through a secure application delivery model, organizations need clear policies and guardrails around how data is used, prompted, and shared.
It is inconceivable that these systems will forget. As a result, companies must be intentional about what data goes into models, how it's managed within applications, and how to prevent data from leaking into the world.
Cybersecurity will no longer be just about protecting the perimeter and endpoints, it will be much more than that.
The Future of VDI – Delivering Apps and Agents
AI is accelerating the evolution of the technological world at an impressive rate. The speed of adoption here is unlike anything we've seen in recent decades, and is moving much faster than the cloud revolution. As a result, traditional VDI will change, moving from application-only delivery to both application and agent delivery.
This makes it increasingly important to simplify how applications and agents are published, delivered, and managed through automation at scale. The main questions are: How easy is the transition? How easily can you deploy new apps, agents, and desktops while reducing human touchpoints and increasing control?
The next stage of application and agent delivery will increasingly focus on IT and developer agility, security, and control.
SaaS isn’t dead – but it’s fading into the background
SaaS isn't dead, but it's changing. Systems of record and mission-critical applications such as CRMs and databases will continue to be essential. But real change is afoot. People spend less time directly using apps.
Instead, create agents that connect to those apps through APIs. These agents may not be perfect, but they handle over 70% of the work you once did manually. In many cases, users don't even need to open the app themselves.
As a result, some systems become less relevant to day-to-day workflows, still important on the backend, but no longer on the frontend or center. SaaS is not dead, but applications will become the invisible backbone that powers agents. The less people think about your app, the more seamlessly it will work.
AI-driven inflection point in the digital enterprise
The next era of IT will be shaped not just by more technology, but by more intelligence built into every layer of the enterprise. AI-driven agents will proliferate faster than traditional applications, transforming the way work is performed and systems are managed. At the same time, AI's ability to hold and reason with vast amounts of data will force organizations to rethink cybersecurity, shifting the focus from perimeter defense to continuous governance of data, models, and intent.
SaaS platforms and traditional delivery models will continue to be important, but they will increasingly move into the background as AI agents become the primary interface between people and systems. Success in this new environment will depend on how effectively organizations can adapt their infrastructure, security posture, and operating models to support AI at scale.
Companies that treat AI as a foundational layer, embrace intelligent automation, enforce clear controls over AI memory and data usage, and modernize how applications and agents are delivered will be best positioned to lead. Those who do not risk being overwhelmed by the very intelligence that is unfolding.
About the author
Prashant Ketkar is Chief Technology Officer and Head of Product at Parallels, where he leads product and engineering operations that drive the continued evolution and transformation of the Parallels product portfolio. Ketkar holds a bachelor's degree in electrical engineering from the University of Mumbai and an MBA from the Asian Institute of Management.
