How Can You Increase Your Revenue with Artificial Intelligence Solutions? [2026 Guide]

Jan. 18, 2026

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Artificial intelligence solutions are no longer a thing of the distant future, but a reality in today's business world. 86% of small businesses believe that AI will be essential to remaining competitive over the next five years. This is not surprising, given that while only 12% of companies used artificial intelligence in 2023, this figure rose to 20% in 2024.

In Hungary, we can also see how the work of data and systems science professionals developing artificial intelligence solutions is transforming the way businesses operate. For example, AI-based accounting systems can reduce manual data entry errors by 82% and speed up invoice processing by 40%. Furthermore, marketing automation can increase sales productivity by an average of 14.5% and reduce marketing costs by 12.2%. In this article, we will show you how you can take advantage of these opportunities and what specific artificial intelligence solutions you should consider to increase your revenue.

AI opportunities for increasing revenue

Today, artificial intelligence creates a competitive advantage that results in tangible revenue growth. According to Eurostat data for 2024, while 41.2% of large companies in the EU already use AI, the figure for SMEs is only 11.2% and 21% respectively [1]. In Hungary, only 7.5% of companies used AI-based solutions in 2024 [1].

According to PwC's forecast, global GDP could grow by 14% by 2030 solely due to the development of artificial intelligence [2]. Half of this growth will be due to increased productivity, which companies can achieve with the help of AI.

A Hungarian e-commerce company reduced customer service response times by 30% and increased its satisfaction index by 15% by introducing an AI-based chatbot [3]. Another company saved 20 working hours per month through marketing automation, while increasing its conversion rate by 10% [3].

According to McKinsey, the best-performing companies attribute more than 10% of their earnings growth to the use of generative AI [1]. The use of AI in research and development can reduce time to market by up to 50% and costs by 30% [4].

Although there may be a temporary decline at the beginning of implementation due to the learning curve, the returns are clear in the medium and long term [1].

8 artificial intelligence solutions,
that can help increase revenue

Keeping pace with technological advances, many businesses are now discovering the true value of AI. Let's take a look at which artificial intelligence solutions can help increase revenue:

AI-based social media content – AI can automate repetitive tasks such as keyword research, content planning, and image generation, significantly increasing efficiency [5]. With the help of artificial intelligence, you can save up to 9 hours per week, which can amount to 468 working hours and $1,200 in savings per year [6].

Chatbots and virtual assistants – 69% of customers would use chatbots for instant responses [7]. These systems provide 24/7 availability and reduce waiting times [8]. 62% of respondents would rather contact a customer service chatbot than wait for an employee [7].

Predictive analytics – This technology analyzes past data to predict future events [9], which can help optimize inventory, forecast sales, and fine-tune pricing strategies [10].

AI project management – According to a report by Gartner, AI can save project managers nearly 9 hours per week [11] by automating schedule creation and task tracking.

AI-based CRM systems – These can analyze customer data, score leads, and personalize offers [12], significantly improving sales results.

AI Voice Agent – These systems communicate in a human voice, reduce waiting times, and provide 24/7 customer service [13], while automatically recording and analyzing conversations.

AI accounting – Automating invoice processing saves time, improves accuracy, and enhances the security of financial processes [14].

Personalized marketing – AI can analyze customer data and create unique offers that increase the likelihood of a sale [15], significantly improving conversion rates.

How do we start implementing AI in our business?

The key to successful AI implementation is gradualism and a well-planned strategy. The introduction of AI in businesses is based on three principles: gradualism, measurability, and patience [16]. Start with a single area where you see the biggest problem—for example, if customer service is overloaded, start by introducing a chatbot, which can increase lead generation by 40% and reduce customer service costs by 67% [16].

First, identify areas for improvement and set clear, measurable goals [17]. Then select the appropriate tools—start with a smaller, easily implementable solution [17]. Next, test and continuously collect feedback, as the effectiveness of AI systems depends on fine-tuning [17].

In practice, rapid results can be seen within 2-4 weeks. Email automation, for example, can improve open rates by 15-25% [16]. Although McKinsey estimates that between 2030 and 2040, more than half of current jobs will be automated [18], it is important to note that AI transforms work, it does not replace it.

We must pay attention to data protection – 86% of respondents reported significant data challenges [19]. The lack of talent can also be a significant obstacle, with 34.5% of organizations citing this as their primary problem [19].

Continuous training is essential—44% of employees will need to acquire new skills in the next five years [20].

Conclusion

So, as we have seen, artificial intelligence is no longer a luxury, but a business necessity in today's market. Although only 7.5% of businesses in Hungary use AI-based solutions, this provides a significant competitive advantage for those who have already taken the plunge. The eight artificial intelligence solutions presented—from social media content creation to chatbots to predictive analytics—can all help increase revenue and improve efficiency.

However, the key to success is gradual implementation. First, it is worth identifying the area where we face the biggest problems, and then start automation there. The process should definitely be accompanied by continuous measurement and fine-tuning.

Although technology is developing rapidly, patience is required. In some cases, results can be seen within 2-4 weeks, but it takes longer to realize the full potential. It is important to note that AI does not replace work, but transforms it—so training and developing employees remains essential.

Overall, the introduction of artificial intelligence solutions can bring significant benefits to our business. Those who start the journey now may have an advantage over those who wait. The data clearly shows that properly applied AI not only reduces costs but also provides real revenue growth and competitive advantage in the age of digital transformation.

Frequently asked questions

What specific benefits can the introduction of AI bring to a business?
The introduction of AI can bring a number of benefits, such as reducing customer service response times, increasing customer satisfaction, automating repetitive tasks, improving marketing efficiency, and optimizing inventory management. Together, these can result in significant revenue growth and cost savings.
How long does it take to see results from implementing AI?
The results of implementing AI can vary, but in some areas, you can see quick wins within 2-4 weeks. For example, email automation can improve open rates by 15-25% in a short period of time. However, it takes longer and requires continuous fine-tuning to reach its full potential.
What challenges must be faced when introducing AI?
Common challenges when introducing AI include ensuring data protection, a lack of suitable specialists, and retraining employees in new skills. Eighty-six percent of respondents reported significant data challenges, while 34.5% of organizations cited a lack of talent as their primary problem.
How should you start implementing AI in your business?
It is best to start implementing AI gradually, with a well-thought-out strategy. First, identify the areas for improvement and set measurable goals. Start with a smaller, easily implementable solution, such as a chatbot for customer service. Continuously test, collect feedback, and fine-tune the system to increase efficiency.
What impact could AI have on workplaces in the long term?
Although McKinsey estimates that more than half of current jobs will be automated between 2030 and 2040, it is important to note that AI will transform rather than completely replace work. Forty-four percent of workers will need to learn new skills over the next five years, making continuous training and development crucial in the future.