2026年人工智能：AI原生型企业——面向规模化AI应用的企业设计

Designing your enterprise toembrace AI at scale The AI-native enterprise For business, Artificial Intelligence (AI) is entering its next phase. The early years of experimentation, where pilot projects proliferated and algorithms dazzled,have given way to a new reality: AI now underpins strategy, operations, governance, and growthat the heart of business models. What does it mean to be an AI-native enterprise? It means that AI runs through your architecture, operations, and decision-making. It isembedded in processes, not bolted onto them. It is core infrastructure, a key lever of economicopportunity, and the fabric of the future. It remains decidedly human-centred, and relies on newways of learning, thinking and working. In 2026, the central question for leaders is notifto useAI, buthowto organise for it – how to capture its value at scale while sustaining trust, pace, andhuman meaning in the enterprise. Based on an extensive review of global trends and forces, this report distils 26 of the mostconsequential ideas shaping this new landscape. Each represents a discrete but interlinkeddimension of the modern AI-defined enterprise. Together, they sketch what it will mean to lead an AI-native enterprise. The next phase The promise and potential of AI, the rise of trillion-dollar industries, the spectre of autonomous agents,robotic embodiment, protein folding, big deals, datacentres, regulations, record-breaking AI employeeincomes … the headlines and hype leave no doubtthat AI is causing seismic shifts. Today, AI shows thepotential to deliver the next tech-fuelled GDP boom. While the value is real, distribution is spikey. Wheresome have seen speculative efforts result in nothingbut sunk costs, companies that pair bold ambitionwith enterprise-wide execution are pulling ahead. The experience so far has shown that piecemeal AIefforts yield piecemeal results. Scaling requires AI tobe treated as an enterprise-wide system: aligned tostrategy, integrated into architecture, governed fortrust, and built for performance. A systemic approachtowards ‘AI-native’ enterprise. But beyond anecdotes and wild extrapolations,leaders are asking ‘what is it time for in 2026?’ Moving beyond experimentation New rules In 2026, Australia faces a pivotal moment in theevolution of artificial intelligence. The nation enjoys arare convergence of supportive policy, enterpriseinvestment, industry alignment and innovationcapacity. After years of tentative pilots and demos,having come to grips with fundamentally newtechnology categories, AI has matured beyond thelab and onto the boardroom agenda. AI is increasingly becoming the fabric of the future,fundamentally changing how we define opportunity. Instead of a chatbot pilot in customer service, an AI-native enterprise might integrate AI across the end-to-end customer support process, letting algorithmstriage inquiries, draft responses, and only escalate tohumans for complex cases. This new phase is defined by AI becoming anintegrated part of business systems. It is no longer acurious side project or demo – AI is becominginfrastructure: a core part of enterprise systems,processes and decision-making. Leaders are nolonger askingifto adopt AI, but how quickly they canscale AI across their operations. Instead of a single predictive maintenance model onone production line, AI-native manufacturers mightredesign entire maintenance systems that monitorequipment health continuously. In shaping these opportunities, AI is also rewriting therules of strategic advantage: •Speed Matters More: Creative destruction isdone proactively. While some companiescontinue to experiment, leading companies arerunning to integrate AI into everything they do. •Scale Matters Less: Scale has long been avaluable source of advantage, serving as a moatand capability leverage. AI is redefining work andthe size and shape of workforces.•Innovation Matters Most: As whole newcategories of business are invented anddisruption drives both uncertainty andopportunity, innovators will reign supreme.•Trust multiplies everything: Trusted, responsible,ethical AI derisks speed, manages scale, andprovides leaders with the confidence to move. The CEO shift As for the tone from the top, today’s CEOsincreasingly view AI as embedded infrastructure forstrategy and operations. In PwC’s 2025 CEO survey,nearly 70% of global CEOs said that generative AIwill significantly change how their company creates,delivers and captures value in the next three years.And this isn’t a far-off prediction – almost half oftechnology leaders report that AI is already fullyintegrated into their core business strategies. In Australia, an overwhelming nine in ten CEOs seeAI adoption as central to their business strategy overthe next 3–5 years (PwC CEO Survey). Theseleaders understand AI capabilities are now as criticalas finance, sales or any other pillar of the enterprise. As this adoption maturity evolves, AI is being woveninto customer platforms