The AI Horizon: What 2025 has in store for enterprise tech

Ori Herrmann
By Ori Herrmann
Updated January 6, 2025

As AI continues to grow and root itself at the heart of organizations, speculation abounds about its future impact and potential value. While many organizations have begun their AI journey, those failing to adapt risk falling behind in this rapidly evolving technological revolution. Our latest eBook, “The Hidden Cost of Failed AI Adoption,” explores these risks in detail, offering crucial insights for business leaders navigating this transformation.

To understand what lies ahead, we turned to the experts at WalkMe, gathering insights from leadership and technology specialists who are at the forefront of AI innovation and implementation. Their predictions and observations paint a compelling picture of AI’s trajectory in 2025 and beyond.

The rise of intelligent agents

According to WalkMe’s Global CIO Uzi Dvir, 2025 marks a significant shift from basic chatbots to sophisticated AI agents. “If 2024 was all about chatbots, 2025 is all about the agents,” Dvir notes. This evolution represents more than just an incremental improvement – it’s a fundamental reimagining of how businesses operate, with AI agents moving beyond task augmentation to become integral parts of enterprise operations.

Digital omnipresence: The next frontier

Dr. Ron Zohar, EVP of Engineering & Product at WalkMe, points to an emerging paradigm he calls “digital omnipresence.” This represents AI that seamlessly integrates across the digital workplace, transcending individual applications and platforms. This integration is crucial for organizations seeking to maximize their AI investments and create cohesive digital experiences.

Bridging the adoption gap

One of the most pressing challenges in enterprise AI adoption is usability and implementation. Liya Speigel, Senior Director of Product, emphasizes that success in 2025 will belong to organizations that can bridge the gap between AI’s theoretical potential and practical execution across their fragmented technology landscape.

Quantum computing: AI’s next catalyst

A game-changing development looms on the horizon, according to VP of Corporate Marketing Ofir Bloch. Quantum computing is transitioning from experimental technology to practical application, promising to solve complex problems at unprecedented speeds. This convergence of quantum computing and AI could dramatically accelerate technological advancement.

The future of AI governance

WalkMe CEO Dan Adika predicts a growing emphasis on transparency and analytics in AI implementations. Organizations will increasingly demand solutions that provide clear visibility into AI adoption patterns, performance metrics, and security considerations – essential factors for sustainable AI integration.

Looking ahead

As we navigate through 2025, the message is clear: AI adoption is no longer optional for enterprises seeking to remain competitive. The costs of failing to adapt are substantial, as detailed in our comprehensive eBook, “The Hidden Cost of Failed AI Adoption.” Organizations must act now to harness these emerging technologies effectively or risk being left behind in an increasingly AI-driven business landscape.

Want to learn more about the risks of delayed AI adoption and how to avoid them? Download our eBook today to ensure your organization stays ahead of the curve.

Ori Herrmann
By Ori Herrmann
Ori is a Content & Creative Manager at WalkMe, where he excels in brand messaging and implementing effective content strategies. With a degree in Graphic Communication Management and experience in B2C content marketing & creative management, he helps WalkMe connect with its audience, fostering meaningful engagement.