KPMG\u2019s 2025 CEO Outlook<\/a>\u00a0survey of over 1,300 global CEOs reveals that nearly three-quarters plan to invest 20 percent of their entire budget on AI in the 12 months alone. It is their top investment priority for the second year running. But what matters most is that these leaders aren\u2019t preparing for mass layoffs, they\u2019re actively hiring for AI skills and investing in upskilling. They\u2019re investing in the emergence of what I call the \u201csuperhuman\u201d employee \u2014 i.e., professionals augmented by AI to achieve what was once impossible.<\/p>\nAI agents are the catalyst for this transformation. Instead of following set steps, they focus on achieving specific goals. With the right context, they independently marshal whatever tools, knowledge, and resources are needed to achieve it, with optimal human agency. They don\u2019t ask \u201chow has this always been done?\u201d Instead, they give you the leverage and power to ask, \u201cwhat\u2019s the best way to solve this?\u201d \u2014 and even,\u00a0\u2018What\u2019s stopping me from doing that?\u2019 It sounds straightforward, but this simple shift has the power to unlock a \u201csuperhuman\u201d effect.<\/p>\n
This breaks down the artificial boundaries that have constrained how we work for too long \u2014 the silos between functions, the limits of individual expertise, the old assumptions about what\u2019s possible in a workday. When a procurement analyst can seamlessly work with AI agents that understand finance, third-party risk, analyze vendor relationships and pathways through complex graphs, and vendor activity investigation and optimization, they\u2019re no longer just doing procurement.<\/p>\n
This augmentation boosts economic activity and creates new opportunities. Yes, there\u2019s short-term disruption, but the reward is transformative. We\u2019re rewiring\u00a0how enterprises operate, creating entirely new ways to solve problems and deliver value that weren\u2019t possible with yesterday\u2019s constraints.<\/p>\n
Three Roles, One Revolution<\/p>\n
This will fundamentally reshape the workforce itself, and we will see a clear split emerge. Those who build, manage, upkeep, and govern AI agents \u2013 the Agent Bosses. Those who evaluate and operate them \u2014 the Agent Evaluators. And finally, those who collaborate with these agents as everyday teammates \u2014 the Superhumans. But the implications go deeper than job titles.<\/p>\n
Traditional organizational structures \u2014 built around functional silos and rigid hierarchies \u2014 won\u2019t support this new reality. We\u2019ll need to rethink organization and team composition, newer responsibilities (who do you call when there\u2019s a\u00a0problem with an agent?), decision rights, and how work flows through a business.<\/p>\n
A team might consist of three humans and a dozen AI Collaborator agents. New operating models will be essential. How do you onboard an AI agent and give it an identity? How do you measure productivity and business value when a single employee is orchestrating multiple agents across different functions? How do you maintain accountability when decision-making becomes a human-AI collaboration? Who is responsible for the upkeep of said agents?<\/p>\n
These aren\u2019t theoretical questions. Forward-thinking organizations are already experimenting with hybrid team structures, creating new roles like Agent Bosses and redefining performance metrics to account for human-AI collaboration. The practicalities matter as much as the vision.<\/p>\n
Building the Foundation<\/p>\n
But none of this works without the right foundation. The biggest challenge isn\u2019t the technology, it\u2019s context. Much\u00a0of the expertise within organizations currently resides in people\u2019s heads, and as such is tribal knowledge that\u2019s never been formalized.<\/p>\n
For Superhumans and their AI teammates to thrive, enterprises must build robust data foundations and memory systems.\u00a0 This means capturing and protecting an organization\u2019s collective intelligence \u2014 not just data, but the decisions, judgment, intuition, and know-how that usually live in people\u2019s heads. It\u2019s a bit like creating a\u00a0Pensieve\u00a0for the enterprise \u2013 a living memory any AI agent can draw from. We call these context cartridges and knowledge capsules. Without them, we\u2019re building superhumans on quicksand.<\/p>\n
Equally critical is the Agent Control System \u2014 a single hub to register, govern, operate, and continuously improve a federated workforce of enterprise agents. Think of it as the operating system for your AI workforce. Just as you have HR systems for human employees, you need infrastructure to manage agent lifecycles, give them identities, monitor performance, ensure compliance, and enable continuous upkeep. You also need to hold their Agent Bosses accountable. Organizations that build this infrastructure now will have an enormous advantage.<\/p>\n
The interface revolution is already under way. In the next 18 months, expect to see radically new ways of working with AI agents \u2014 natural interfaces across voice, text, visuals, or gesture. Ambient systems that sense and anticipate what you need.<\/p>\n
The superhuman workforce isn\u2019t a future vision \u2013 it\u2019s already emerging in pockets across enterprises globally. The question isn\u2019t whether this transformation will happen, but whether businesses will shape it or be shaped by it. After more than quarter of a century in AI, I can tell you that the leaders who act now and build the right foundations, won\u2019t just survive this shift, they\u2019ll define it.<\/p>\n
The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of\u00a0Fortune.<\/p>\n","protected":false},"excerpt":{"rendered":"I\u2019ve spent more than 25 years working in AI & Digital, and I can tell you this \u2014…\n","protected":false},"author":2,"featured_media":99641,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[365,363,364,41336,30760,111,139,69,145],"class_list":{"0":"post-99640","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-consulting","12":"tag-kpmg","13":"tag-new-zealand","14":"tag-newzealand","15":"tag-nz","16":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/99640","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/comments?post=99640"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/posts\/99640\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media\/99641"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/media?parent=99640"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/categories?post=99640"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/nz\/wp-json\/wp\/v2\/tags?post=99640"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}