through information week
AI-native companies aren’t just automating: they’re redesigning their businesses. Success requires incorporating AI into strategy, decision-making and workforce evolution.
As AI continues to evolve, the question is whether companies can transform their businesses while adapting their workforce strategies at the same pace. A change in executive mindset, or change of mentality – is necessary not only to reinvent companies, but also to prepare workers for roles that do not yet exist. Seismic changes are coming: artificial intelligence will reshape 86% of companies by 2030, according to a new World Economic Forum (WEF) report. That same report also predicts that AI and automation will create 170 million jobs, while displacing 92 million positions as companies adapt to technological change; 39% of existing skills will become obsolete between 2025 and 2030.
Business transformation, not digital, is the way forward
Enterprises now face a new chapter in the evolution of digital transformation, one that challenges organizations to think beyond digitizing the legacy processes and workflows they prioritized over the past decade. Actually, B.C.G.investigationuncovered that 70% of digital transformations still do not achieve their objectives.
Before the emergence of ChatGPT, one could argue that most digital transformation efforts focused on digitizing and optimizing legacy processes. The pursuit of efficiency, scale and cost reduction limited or damaged the prospect of any meaningful transformation in desired business outcomes. The same thing may already be happening in an age of AI. Companies are prioritizing the automation of digitized processes and workflows over the last decade, which is important, but without exploring the potential for new opportunities in an era of AI, automation may not be enough to evolve.
If digital transformation was the defining strategy in the 2000s, AI-powered business transformation represents a potentially better and more adaptable path forward.
Unlike digital transformation, AI represents an opportunity for business transformation. It is a turning point for reimagining organizations and work in a world where AI is inherently linked to almost all technologies, actions and outcomes.
The next chapter for AI-native companies
2025 will be the year in which not only AI, but also its agents, begin to reshape the company. While organizations are just beginning to recognize the possibilities of AI, they are not yet exploring the implications for businesses accelerating AI-powered transformation. Now is the time for organizations to embrace AI beyond tools and as a core component of their strategic mindset and operational framework.
But what does it mean to be an AI-first company?
To help, let’s replace AI first with native AI: AI as native to the core of one’s business, strategy, operations, culture and value creation.
It’s also more than implementing AI tools across the enterprise. It’s about redefining roles, work and operations, fostering innovation and creating a culture that embraces change. An AI-native company is characterized by the strategic integration of artificial intelligence at the center of its operations and decision making.
n The native AI approach will fundamentally redefine how companies operate, innovate and interact with customers, employees and their ecosystem. AI becomes not just a tool, but the central driver of decision making, operational efficiency and customer interaction.
Lead the AI revolution or be left behind
AI first is not just about using AI, but about making AI native to enterprise architecture, fundamentally.
1) Make AI central to decision making: AI is not just a tool for efficiency; It plays a central role in strategic decision making, forecasting and autonomous execution.
2) Use AI to drive exponential thinking, not incremental optimization: Instead of improving traditional business processes, AI-native companies reimagine workflows, value chains, and customer experiences from the ground up.
3) Automate Adaptability: AI-first companies create systems that can autonomously sense, analyze, and act in real-time across supply chains, operations, and customer engagement.
4) Integrate AI to stimulate network effects and self-learning models: continuously improve through feedback loops, fine-tune AI models, and leverage collective intelligence rather than relying solely on human input.
5) Make data and computing a core asset: Unlike traditional companies that prioritize physical assets or human capital, AI-first organizations treat data, computing power, and algorithmic capabilities as their core competitive advantage.
6) Drive workflow transformation with AI agents: AI agents are the next big evolution in AI-native enterprises. Not only do they improve workflows; They autonomously execute tasks, make decisions, and optimize operations at a scale and speed impossible for human-led organizations. You need to make sure you are designing and improving the workflows of the future, not the past. Because? AI-native companies will rely on agent systems to manage core functions, drive efficiency, and create new competitive advantages.
7) Redefine leadership for an AI-native era: C-Suites are not immune. Empower executives and managers to think strategically about AI adoption, guiding their teams in AI-first decision making and workflow transformation.
8) Invest in reskilling programs for emerging roles: As AI automates repetitive tasks, new roles will emerge that require human creativity, problem solving and supervision. Companies should proactively explore and identify future workforce needs and provide pathways for employees to transition into high-value roles. This includes preparing for an agency business and beyond.
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