The IT singularity has arrived. AI is no longer scarce, experimental, or limited to a handful of use cases. It is becoming embedded across software, workflows, operations, and decision-making. As AI becomes ubiquitous, however, a new reality is emerging: Deploying AI is no longer the hard part. The real challenge is determining how organizations must adapt because of it.

Technology leaders increasingly find themselves confronting questions that previous operating models were never designed to answer. How should work be organized when humans and AI contribute side by side? How do organizations move beyond AI pilots toward meaningful adoption? What governance structures build trust without slowing innovation? How can leaders operationalize AI while maintaining accountability and measurable business value?

At Technology & Innovation Forum Central, coming to Austin September 14–15, several guest speakers will explore these challenges from different perspectives. Together, their experiences illustrate an important truth about the IT singularity: Success depends less on adopting AI and more on adapting organizations to work with it.

AI Is Transforming Work, Not Just Productivity

Much of the conversation around AI focuses on efficiency. Technology leaders often discuss faster coding, improved automation, and increased productivity. Yet many organizations are discovering that AI’s greatest impact may be on how work itself is structured.

As AI systems take on more execution-oriented activities, human responsibilities increasingly shift toward judgment, oversight, governance, and outcome design. Traditional assumptions about roles, teams, and decision-making are beginning to change.

This challenge lies at the center of the session, Changing The Nature Of Work: Redefining The IT Operating Model In The Age Of AI. In this discussion, Sreeveni Kancharla, CIO of SailPoint, and Alejandra Tamez, AI transformation and organizational change leader at Applied Materials, will join Fiona Mark, Forrester principal analyst, to explore how organizations are redesigning team structures, workflows, and governance models to support effective collaboration between people and AI.

The session will examine how AI is reshaping the IT operating model, from role design and decision-making authority to governance and workforce planning. Attendees will hear how leading organizations are balancing automation with human oversight, redefining accountability, and creating the conditions for people and AI to work together effectively while continuing to drive innovation and business outcomes.

The implications extend well beyond technology departments. As organizations seek to scale AI responsibly, they must decide not only which capabilities to automate but also how to redefine accountability, leadership, and organizational design along the way.

The Hardest Part Of AI Adoption Is Often Human

If AI technologies are becoming easier to access, why do so many organizations struggle to achieve lasting adoption? The answer often has less to do with technology than with people. Across industries, organizations continue to launch pilots and experiments only to find that enthusiasm alone does not drive sustained change. Leaders encounter resistance, trust concerns, competing priorities, and uncertainty about how AI should fit into existing ways of working. The result is a growing gap between AI ambition and AI impact.

That challenge is the focus of Driving AI Use From Party Trick To Behaviors That Stick. In this session, Arturo Lopez-Brea Gimenez, head of digital and IT transformation and capabilities at Moeve, will join Kim Herrington, Forrester senior analyst, to share lessons from real-world transformation efforts and discuss what it takes to turn AI initiatives into consistent organizational behaviors.

The conversation reflects a growing reality across enterprises: The biggest obstacles to AI adoption are often human, not technical. Success requires aligning AI investments to business outcomes, addressing workforce concerns directly, and establishing governance models that support change at scale. The speakers will examine how misalignment, resistance, fear, and trust gaps can undermine adoption and what leaders can do to turn AI ambition into lasting organizational behavior. Organizations that treat AI as a technology project may struggle. Organizations that approach AI as a change-management challenge may be better positioned to realize its value.

Operationalization Is The Next Competitive Advantage

As AI matures, another pattern is becoming clear. The organizations creating the greatest value are not necessarily the ones deploying the most AI. They are the ones learning how to operationalize it. Moving from experimentation to execution requires new processes, new operating models, and new ways of measuring success. It requires leaders to make decisions about governance, accountability, workflow integration, and risk management. Most importantly, it requires a willingness to move beyond hype and confront what implementation actually looks like.

At the Executive Leadership Exchange, Jenny Stanley, vice president of information technology for the medtech division at EssilorLuxottica, will join Michael Facemire, Forrester chief technology officer, and Greg Willrich, Forrester VP and executive partner, to discuss what it actually takes to operationalize AI across the enterprise.

The invite-only “Ask Me Anything” session, Operationalizing AI At Forrester, will explore how Forrester translated AI investments into business value while navigating the obstacles that inevitably emerge during implementation. For technology executives, these candid conversations often provide some of the most valuable lessons. Success stories matter, but so do the practical realities, trade-offs, and course corrections that accompany any significant transformation effort.

The Future Of IT Leadership Will Be Defined By Adaptation

Taken together, these conversations point to a broader lesson about the IT singularity. The challenge ahead is not whether organizations will adopt AI. Most already are. The challenge is determining how technology leaders adapt their organizations, operating models, governance practices, and cultures to thrive in a world where AI is everywhere. The leaders who succeed will not simply deploy new tools. They will redesign how work happens, guide organizations through change, and establish the trust and accountability needed to scale AI responsibly.

At Technology & Innovation Forum Central, attendees will hear directly from leaders who are tackling these challenges today. From redesigning operating models and redefining work to driving AI adoption and operationalizing innovation at scale, their experiences offer practical lessons for organizations seeking to move beyond experimentation and build lasting business value in the age of the IT singularity.

The speaker lineup continues to grow. Bookmark the agenda and check back frequently to see newly confirmed speakers.

Now through September 4, save 10% on your Forum pass with our Summer Advantage discount. Join us in Austin to gain the insights, strategies, and peer perspectives needed to scale AI responsibly, strengthen governance, and lead your organization through the next era of technology transformation.