In today’s rapidly evolving technological landscape, an unprecedented shift is underway — one that is not simply about integrating machine learning into existing systems, but about empowering artificial intelligence to act independently, adapt dynamically, and collaborate intelligently with humans. This transformation, known as the rise of agentic AI, is radically redefining how organizations design, execute, and oversee their operations. As study after study continues to emphasize, both individuals and enterprises that proactively embrace this evolution stand to gain significant advantages in terms of higher earning potential, long-term job security, and strategic relevance in the market. Yet amid this fervent call to action, a practical question emerges for technology and business professionals alike: which specific roles will drive this agentic transformation, and how can one meaningfully prepare for them?\n\nAccording to industry experts, particularly insights shared by Andie Dovgan, chief growth officer at Creatio, four distinctive roles are coming to define this emerging frontier—each blending technical fluency with business insight and creative problem-solving. These positions include AI leaders, agent operators, AI no-code creators, and workflow architects—each essential to orchestrating the complex interplay between human intelligence and autonomous digital agents. Dovgan notes that the essence of these roles lies not only in technical execution but also in strategic integration, ensuring that artificial intelligence serves enterprise objectives responsibly, ethically, and with long-term sustainability.\n\nAI leaders, the first and perhaps most transformative of these new positions, hold the crucial responsibility of translating the abstract potential of artificial intelligence into concrete business value. Their role extends far beyond the traditional mandate of overseeing technology deployment; they act as visionaries who craft comprehensive AI strategies, define use cases for agentic systems, and nurture a culture that encourages responsible innovation. These leaders bridge the gap between human creativity and machine capability, harmonizing both to achieve organizational excellence. Although there is no standardized career route into this domain, what unites these professionals is their spirit of experimentation, a forward-thinking mindset, and a commitment to ensuring that AI functions as a catalyst for positive, measurable change.\n\nAgent operators, by contrast, embody a more hands-on supervisory function within organizations that deploy agentic systems. Acting as human overseers in environments increasingly shaped by autonomous workflows, they monitor AI agents as they execute tasks, step in when complex judgment or ethical decision-making is required, and ensure that automated processes remain aligned with business priorities, compliance frameworks, and operational continuity. Typically emerging from operations or business process management backgrounds, these professionals possess an intimate understanding of workflows, metrics, and key deliverables — expertise that allows them to fine-tune automation systems to support, rather than disrupt, organizational goals.\n\nComplementing them are AI no-code creators, a new generation of innovators who harness no-code and low-code platforms to design, configure, and refine AI-driven agents without writing traditional software code. They represent an evolution of the modern business analyst or digital transformation specialist — individuals already skilled at mapping processes, defining requirements, and conceptualizing optimal workflows. With no-code tools, they transcend documentation and move into active creation, defining agent behaviors, parameters, and decision rules. Their ability to merge process insight with accessible AI development allows organizations to accelerate innovation and lower technical barriers, democratizing the ability to build intelligent systems.\n\nThe final critical role, that of the workflow architect, demands a panoramic understanding of how humans and artificial agents function in synergy. These professionals are charged with reimagining fundamental work structures — designing frameworks in which human judgment, empathy, and strategy coexist harmoniously with machine precision and scalability. Their success relies on deep domain expertise and rigorous analytical skills, as they must ensure that redesigned workflows enable meaningful efficiency gains rather than simply automating existing inefficiencies. Understanding the practical limits and contextual nuances of agentic AI becomes essential here, as agents, if misdirected, may optimize for undesirable outcomes.\n\nAcross all four of these emerging disciplines runs a unifying principle: ownership. Effective AI adoption demands personal accountability for outcomes, ethical oversight of agent behavior, and a constant cycle of evaluation and adjustment as market conditions evolve. Dovgan emphasizes that these functions will not materialize overnight but will evolve incrementally from existing roles in business, technology, and operations. Over time, professionals who deliberately combine business literacy, AI comprehension, and no-code configuration abilities will be best positioned to assume these hybrid responsibilities.\n\nIn the early stages of adoption, many organizations will likely depend on external expertise to bridge skill gaps and establish foundational practices in deploying agentic systems. During this transition, internal IT and operations teams will undergo a profound transformation, adopting fresh approaches and discarding outdated frameworks of automation. As Dovgan predicts, the market ecosystem will remain fluid and highly collaborative rather than dominated by a single vendor archetype. AI software providers will increasingly apply hands-on, forward-deployed engineering models to help clients customize and operationalize their agentic infrastructures. Meanwhile, global consulting firms will deepen their investments in agentic practices, leveraging their institutional knowledge of governance, compliance, and enterprise-scale integration. Parallel to these giants, boutique consultancies specializing in highly specific domains—from finance to healthcare to logistics—will emerge, offering niche expertise and tailored AI strategies that cater to precise business contexts.\n\nThe agentic AI revolution, therefore, represents far more than a technological trend; it signifies a paradigm shift in how organizations structure accountability, design workflows, and harness intelligence. Those willing to cultivate interdisciplinary expertise—merging human insight, digital architecture, and ethical foresight—will not only remain relevant in this new era but will define its success. As the boundaries between human creativity and machine autonomy continue to blur, the professionals who lead with strategy, empathy, and a sense of ownership will be the ones to shape the intelligent enterprises of tomorrow.
Sourse: https://www.zdnet.com/article/4-new-roles-will-lead-agentic-ai-revolution/
