2026年人工智能：AI原生型公司：面向规模化AI应用的企业架构设计研究报告

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 use 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 interlinked 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 doubt While the value is real, distribution is spikey. Wheresome have seen speculative efforts result in nothingbut sunk costs, companies that pair bold ambition 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 for 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, 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 to 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 no Instead of a single predictive maintenance model onone production line, AI-native manufacturers mightredesign entire maintenance systems that monitor 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 are 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. Scale Matters Less: Scale has long been avaluable source of advantage, serving as a moatand capability leverage. AI is redefining work and Innovation Matters Most: As whole newcategories of business are invented anddisruption drives both uncertainty and 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 critical Trust multiplies everything: Trusted, responsible,ethical AI derisks speed, manages scale, and As this adoption maturity evolves, AI is being woveninto customer platforms, supply chains, and decisionworkflows, augmenting human judgment withmachine intelligence at scale. As a result, AI is nowpowering real productivity gains – from 15% to 40% AI in 2026 This report distils 26 of the most consequential ideasshaping the AI landscape in 2026. Each represents adiscrete but interlinked dimension of the modern AI- Built on PwC global case studies and research, theseideas ultimately sketch what it will take to lead yourenterprise into an AI-native future. Strategic advantage Strategic advantage shows where AI reshapesstrategy, markets, and value creation. Value creation pinpoints the profit pools and growth betsthat AI can drive and ties them to measurable outcomes.Industry edge hardens advantage by embedding domainknowhow into workflows and decisions. Ecosystems andinnovation build speed, innovation and optionality throughpartners and platforms, without locking the business into asingle path. Enterprise blueprints scale what works into Value creation A true value creation strategy looks at how AI moves v