Article contents:
- Introduction: A look at the future through the hype cycle
- The autonomous business era: Four key trends
- 1. Machine customers: When machines start shopping
- 2. AI agents: Autonomous assistants are coming
- 3. Decision intelligence: Bridging the gap between insights and actions
- 4. Programmable money: A revolution in the financial world
- Conclusion: Preparing for the next wave of radical change
- Frequently asked questions
Introduction: A look at the future through the hype cycle
Every year, the tech world eagerly awaits the “Hype Cycle for Emerging Technologies” report from leading research firm Gartner. This report does not just tell us what new technologies exist; it puts them into the context of their maturity and potential impact. The 2025 report highlights a set of innovations that will support what Gartner calls the “autonomous business era,” an era where automation and artificial intelligence will redefine everything. Among the most prominent of these technologies are machine customers, AI agents, and programmable money.
The autonomous business era: Four key trends
Arun Chandrasekaran, research vice president at Gartner, says: “After years of digital transformation, organizations are facing a new fundamental shift… CIOs in the new autonomous business era must evaluate how emerging technologies are creating competitive advantages.” The report identifies four key technologies shaping this era:
1. Machine customers: When machines start shopping
Machine customers are non-human economic actors that purchase goods or services on behalf of individuals or organizations. Think of your smart refrigerator automatically ordering milk when it runs out, or your connected car paying for parking on its own. Gartner forecasts that there are approximately 3 billion internet-connected machines that could act as machine customers today, with that number potentially rising to 8 billion by 2030. This will create massive opportunities for revenue and efficiency, but it requires organizations to entirely reimagine their marketing and sales business models to target machines, not just humans.
2. AI agents: Autonomous assistants are coming
AI agents are the next step beyond chatbots. They have the ability to perceive, make decisions, and take actions to achieve specific goals in their digital or physical environments. Organizations can design and deploy these agents to handle complex tasks, such as automating customer service, managing supply chains, or analyzing data. However, the level of trust in these agents remains limited due to concerns regarding their predictability and accuracy in executing tasks. Gartner recommends that organizations integrate them cautiously into strategic planning.
3. Decision intelligence: Bridging the gap between insights and actions
Decision intelligence is a practical discipline aimed at improving decision-making itself. Instead of merely providing analytics and data, this field focuses on understanding how decisions are made, designing them, and evaluating their outcomes. By digitizing decisions and treating them as enterprise assets, this discipline bridges the gap between insights and ideas on the one hand, and practical actions on the other. In a world full of uncertainty, organizations strive for faster, higher-quality, and more consistent decision-making, which is what decision intelligence aims to achieve.
4. Programmable money: A revolution in the financial world
Programmable money is any form of digital currency that can be programmed to dictate its functionality based on algorithmic criteria. This money can rely on blockchain technology and smart contracts. For example, a financial payment can be programmed to be disbursed only when certain conditions are met (such as the delivery of goods). This will radically transform supply chains and finance, and will be essential for dealing with machine customers that will require automated and intelligent payment methods. It represents a major shift for financial service providers and opens the door to entirely new cash markets and digital assets.
Conclusion: Preparing for the next wave of radical change
The Gartner 2025 report provides a clear vision of the future: a world where organizations will operate more autonomously, machines will make economic decisions, and financial value itself will be programmable. For leaders, the question is no longer “whether” to adopt these technologies, but “how” and “when.” Understanding these emerging trends is the first step to preparing for the next wave of radical change and staying ahead of the competition.
Frequently asked questions
Q1: What is the Hype Cycle?
A1: It is a graphical representation provided by Gartner showing the maturity, adoption, and social application of specific technologies. It helps organizations distinguish hype from the real commercial viability of emerging technologies.
Q2: Do machine customers already exist?
A2: Yes, in simple forms. Smart home appliances that reorder supplies, or inventory management software that automatically orders goods, are early examples. However, their capabilities will become much more complex and autonomous in the future.
Q3: What is the difference between an AI agent and a chatbot?
A3: A chatbot interacts and responds to commands. An AI agent, on the other hand, can set goals, make plans, and take actions independently to achieve those goals without constant human intervention.
Q4: Is programmable money the same as cryptocurrencies like Bitcoin?
A4: Not necessarily. Programmable money can be built on blockchain technology like cryptocurrencies, but it can also be central bank digital currencies (CBDCs) or other forms of digital money equipped with programmable capabilities.
