Until now, AI did what you told it to. You asked it a question, it gave you an answer. That was it. In 2026, things have changed fundamentally. Autonomous AI agents no longer wait to be asked – they plan on their own, carry out chains of tasks and collaborate with each other to solve complex problems. At Altanet Craiova, we are following this change closely, because it is already affecting the way businesses operate – including those of our clients.
What exactly is an autonomous AI agent?
Imagine hiring a new colleague. You explain once what needs to be done and they get to work: they look up information, make intermediate decisions, send e-mails, update databases and report the final result back to you. Just like an experienced employee, they do not need to be guided through every decision.
The difference from a classic chatbot is essential:
- The classic chatbot answers a question and stops. It is reactive.
- The autonomous AI agent receives an objective, builds a plan, carries out several consecutive steps and adapts if something goes wrong. It is proactive.
In addition, agents can work in teams. Through protocols such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), a "boss" agent can delegate subtasks to specialised agents, just as a manager divides work between departments.
The figures showing it is not hype
The implementation is real and moving fast. According to data aggregated from sources such as Fortune Business Insights, Mordor Intelligence and IBM:
- 79% of organisations worldwide have already deployed at least one AI agent in operations
- 96% plan to expand in the next 12 months
- Average reported ROI: 171% – the return on investment in the US reaches as high as 192%
- The agentic AI market is growing from USD 5.2 billion (2024) to 10.9 billion (2026) and is expected to reach USD 199 billion by 2034
The chart below shows this evolution:
Actual data
Projection
$5.2B
$7.8B
$10.9B
$16.2B
But where is the catch?
The figures are impressive, but the picture is not entirely rosy. Only 23% of organisations run AI agents at real production scale. The remaining 77% are still piloting or experimenting. MIT Sloan warns directly: agents still make too many mistakes to be left unsupervised in critical processes.
In other words: the potential is enormous, but implementation requires planning and human oversight.
A real example: Danfoss and the 42 hours reduced to zero
Danfoss, a Danish manufacturer of industrial components, has deployed autonomous AI agents in its customer relations workflow. The figures speak for themselves:
- Before: a customer sent a request and waited up to 42 hours for a reply
- After: the AI agent analyses the request, checks stock, calculates the price and sends the quote – almost instantly
- 80% of transactional decisions are now handled fully automatically
We are not talking about a lab experiment. We are talking about a production process, at industrial scale, that runs day after day.
What does this mean for your business?
You do not have to be Danfoss or a multinational corporation to benefit from AI agents. Here are three practical applications, accessible to any company in 2026:
- Automated customer support: An agent answers frequently asked questions, checks order status and escalates only the complex cases to a human – non-stop, with no holidays.
- Document processing: Invoices, contracts, reports – an agent extracts the relevant data, enters it into your systems and flags anomalies.
- Monitoring and alerts: An agent tracks your business's key indicators and notifies you immediately when something goes out of range, without you having to check manually.
What comes next?
Gartner estimates that by the end of 2026, 40% of enterprise applications will include agentic capabilities – compared with under 1% in 2024. Standardisation of multi-agent orchestration protocols will arrive in 2027, which will make implementation even simpler.
The conclusion is simple: autonomous AI agents are not a technology of the future. They are a reality of the present, already deployed by almost 8 in 10 large organisations. The question is no longer "if" but "when and how" for your business.
The Altanet Craiova team can help you understand which processes in your company can be automated with AI agents and what the concrete steps are. Visit our contact page and let's talk.
This article is part of the Altanet series on AI trends in 2026. Next article: GPT-5 vs Claude vs DeepSeek: Who Is Winning the AI Model War in 2026. See also the complete guide to the series.