Did you know that AI adoption among small and mid-sized businesses grew by 30% last year, with many reporting cost savings and improved efficiency? Finally, AI is no longer a tool only for tech giants like Google or Meta. AI-based services can improve workflows for small and big companies, automating most of their processes.
However, it’s not that simple to integrate this “black box” technology. Let’s dive into what it can bring to you and what types of AI models you should implement into your business to make it succeed!
AI In Business: Quick Recap
Although AI is a relatively new technology, it won the hearts of business and general users. In 2022, less than 3 years ago, it was just some “fun stuff for geeks’ entertainment.”. Now, we see how businesses use emerging learning technologies for mundane and artsy tasks.
According to the recent McKinsey survey, 72% of businesses implement at least one AI tool into their workflow. Thanks to the next-generation AI, companies already see operating costs.
Let’s quickly examine where we can already see the impact of AI tools:
- Online communication with clients. In 2020, businesses need to hire large support teams if they want to be constantly online. In 2025, you can train your chatbot to answer basic questions. You still need people on a support team, but AI innovations can save your resources.
- Translations. You can use AI tools to translate instructions or business texts. You still need a well-trained translator for a text that requires some contextual knowledge or playwords, but AI services can already speed up the process.
- Document Management. Tools like Grammarly or Jasper AI can assist you in writing, editing, and creating content. They will check potential emails and other communication for grammar errors.
- Fraud Detection. AI-based tools excel at noticing even the slightest changes, which can benefit fraud detection in many sectors. Financial institutions will recognize users who commit potential crimes faster than before. Meanwhile, social media can better sort users’ media to remove concerning content.
- Manufacturing. Emerging AI technologies are already a part of quality assurance services that can help businesses optimize manufacturing with improved data analysis. Engineers can use AI tools for proactive maintenance, solving potential problems even before they show themselves.
- Healthcare. AI tools can analyze X-rays, MRIs, and CT scans to detect suspicious patient health changes. New algorithms can help doctors select medicine more accurately.
- Retail. Businesses can use AI tools in retail to provide perfectly tailored suggestions on their platform and target a promo to the general audience.
- Private transportation. We already witnessed driverless taxis in San Francisco. Autonomous AI-based cruise controls in modern cars are becoming better day by day.
- Education. AI services led to the burst of adaptive learning services like Khan Academy or Duolingo, where platforms can slightly tailor their content to personalize learning experiences, sealing students’ knowledge gaps.
It’s only a small part of how AI improvements have already changed the world in less than 2 years from their introduction to the general public.
Deloitte’s survey of manufacturing companies shows that 83% of respondents believe AI has already had or will have, a practical and measurable impact on their company. Among this subset of people, 27% felt their AI projects already delivered value to their companies, and 56% think it’ll take two to five years to reveal their true value.
AI-related Laws: It’s just The Beginning
With AI becoming a more common technology, we will see more restrictions. The most well-known one is the EU’s Artificial Intelligence Act, aimed to regulate the development and usage of AI-based software. The primary purpose of this act is to foster controllable innovations that will remain safe for every party involved.
This act divides all AI software into 4 risk levels for all AI generations:
- Unacceptable risk: Technologies that violate fundamental rights are prohibited.
- High risk: AI used in critical sectors requires strict supervision.
- Low risk: Tools such as general chatbots must meet minimal requirements.
- Minimal risk: Common applications like email filters are not subject to stringent regulation.
Companies who decide to ignore this act and use AI tools in Europe without adhering to these rules can be fined up to 35 million EUR or 7% of a company’s annual turnover.
United States does not have a unified AI regulation but uses a combination of executive orders and proposed legislation. The main regulation is the National AI Initiative Act, which is supported by the Executive Order on Maintaining American Leadership in AI, and the Federal Trade Commission (FTC) AI regulations.
Major AI Trends for The Next 5 Years
AI trend analysis shows that this technology will stay with us for good. It will change every aspect of daily life, simplifying human existence in various fields. Let’s quickly examine how AI tools will change autonomous systems, marketing, human resources, and cybersecurity.
Autonomous systems
We will see the exponential growth of autonomous systems throughout industries. Self-driving vehicles will become a new norm, as most new cars will have this feature. We will see how public and private vehicles, traffic lights, and smart road signs will work in tandem, making roads safer.
The future of machine learning will affect agriculture and even utility services. Autonomous drones with dozens of sensors will analyze the environment. Later, other drones or autonomous transport/robots will perform the assigned missions. We will see autonomous cropping and irrigation systems, drones that fix broken pipes, etc.
Speaking of manufacturing, we will see autonomous conveyor systems that can analyze performance and self-repair in real time, reducing downtime. AI-powered devices also benefit logistics by lowering reliance on humans.
AI In Analytics
By leveraging AI for business growth, companies can uncoverinsights that might go unnoticed by human analysts, especially when dealing with scattered or voluminous data. Here is a small list of how AI analytics can benefit businesses:
- Finance: Risk assessment, fraud detection, and investment forecasting.
- Healthcare: Predictive diagnostics, treatment planning, and operational efficiency.
- Manufacturing: Predictive maintenance and supply chain optimization.
- Marketing and Sales: Audience segmentation, campaign performance analysis, and demand forecasting.
It not only saves countless hours but also minimizes the risk of oversight caused by a human factor. In any case, you still need to have data analysts double-check the data and find some tricky data insights.
Moreover, popular AI models can automate filling complex reports, identifying key performance indicators (KPIs), and detecting anomalies within the speed of light.
It enables companies to monitor performance in real time and swiftly address potential issues. In customer-facing roles, AI analytics can segment audiences and personalize offerings, improving customer satisfaction and loyalty.
Improved personalization
The most advanced AI tools can also help you with personalization. And you, as a business, should use this opportunity. Personalization is no longer optional; it’s a key to modern communication. No one wants to spend their days in research.
General users want to get personalized deals that perfectly suit their case. They want ads that reflect their pains. Businesses need to tailor experiences to avoid losing customers.
AI reporting tools excel at synthesizing unrelated points to get data insights. By leveraging it, recommendation systems can deliver highly accurate suggestions. For instance, Amazon or Netflix analyze user preferences to offer highly relevant product or content suggestions. These “you might also like” features can become more intuitive and engaging as AI systems handle larger, more complex datasets.
AI In Cybersecurity
AI transforms cybersecurity by enabling advanced detection, prevention, and response mechanisms. Using big data analysis, AI-powered tools will help you to combat cyber threats.
AI excels at identifying suspicious patterns, such as phishing attempts, viruses, or DDoS attacks. Algorithms can detect anomalies that indicate a potential attack. Most powerful AI systems continuously learn from new data, improving their ability to recognize threats, even those that haven’t been seen before.
AI-powered systems can take immediate action against threats. They can isolate infected devices, or even shut down compromised services.
But, you should remember that criminals also use AI tools. They will make their attacks even more harmful. So, it’s vital to implement AI tools in cybersecurity as soon as possible.
AI In Human Resources Management
Artificial Intelligence reshapes personnel management by streamlining recruitment, enhancing employee engagement, and optimizing organizational structures. Recruiters can use AI-based tools to quickly analyze thousands of resumes to find the most suitable dozen of candidates.
Machine learning algorithms detect resume patterns and can predict candidates’ success in specific roles. Instead of tedious forms, candidates can chat with a bot that summarizes communication for HRs. HireVue already uses data from video interviews to assess candidates’ non-verbal communication and responses, predicting their potential fit and performance.
AI tools evaluate employee productivity by analyzing data on achievements, project participation, and collaborations. Later, those tools can provide personalized development plans for each employee.
By analyzing workforce data, AI can identify trends and predict which employees may leave the company. It allows HR teams to proactively address concerns, improving retention rates and maintaining a stable workforce.
Generative AI
Trends in generative AI change faster than the speed of light. However, it’s easy to spot where all things are moving. It’s been less than 3 years since the first pioneers started using AI in creative fields. Now, this technology acts as a co-pilot for writers, designers, and even musicians.
As we said before, AI still lacks in reading the “hidden meanings” of human communication. That’s why it won’t fully replace humans in creative fields for the next few years.
It’s unlikely that humans will develop self-aware sophisticated robots like in “Futurama” or “Detroit Became Human” for the next 5-10 years. Until then, even the smartest AI algorithms will only be copilots for professionals in creative industries.
ChatGPT can help writers overcome “writer’s block,” while DALL·E can help designers and illustrators by drawing raw sketches that an artist can use for future inspiration.
Even musicians can benefit from AI tools! By analyzing existing songs, AI-based services can produce original tracks. While this might not lead to commercially available, AI-generated music (primarily due to complex copyright implications), it provides a helpful starting point for musicians looking to experiment.
The main role of generative AI research tools is to act as a “Quick draft” tool. Whether for written content, visuals, or music, AI can generate a draft to refine.
Potential Challenges With AI Implementation
While this new technology can benefit humanity in so many ways, we still need to consider its drawbacks. Otherwise, we, as humanity, may end up in a “Skynet” situation, where artificial intelligence will control every aspect of human lives.
Combatting Data Biases
The first AI drawback is the potential bias. AI heavily rely on datasets. Unfortunately, they can be incomplete or biased, leading to unfair decisions.
Many AI’s function as “black boxes,” hiding the decision-making processes. In many industries people need to know the reasons behind the decision.
For instance, while AI tools can help doctors, they still can’t use this technology. It happens due to lack of “black box” accountability. Current AI can’t say “I choose this treatment due to the next chain of factors”, but doctors need this info. That’s why, most doctors will refuce to use AI tools due to potential data biases at least for next few years.
Preventing Data Looting
The next challenge is to prevent data looting. Many businesses asks for too much data, that can lead to misuse or overreach concerning personal information. Mismanaged AI may also inadvertently amplify social inequalities by favoring entities or already advantaged individuals.
Meanwhile, AI systems themselves are not immune to cyberattacks. Hackers can manipulate input data to exploit algorithm weaknesses, stealing all data.
The last challenge is the social disruption. Since AI automate mundane tasks, businesses tend to fire more and more workers. It can lead to high unemployment and economic disparity.
Mitigating Potential Challenges
If businesses want to make their AI development less challenging, they should adopt proactive measures:
- Ethical AI Development: Implementing bias mitigation strategies during the data collection and training.
- Robust Security Protocols: Employing the best cybersecurity measures to safeguard AI models and the processed data.
- Transparent AI Models: Encouraging explainable AI to enhance trust and accountability.
- Engaging Experts: Collaborating with specialized teams to design and implement secure, efficient, and ethical AI systems.
Corpsoft Solutions is a developing team specializing in creating and optimizing software solutions, including AI systems. If you are looking for experienced developing team, it’s your sign to contact us today 🙂
Preparing Your Business for AI Integration
Incorporating AI-based services can streamline business operations and boost overall productivity. However, to get the best results, you should properly pave the way for the AI model development.
1. Identify Where AI Can Benefit Your Business
The first step is to determine where exactly AI-services can help your businesses. As we reviewed before, this technology can help you with automation, personalization, or analytics. AI can streamline repetitive tasks, tailor recommendations, and provide AI-power insights.
2. Upskill Your Team
AI tools are only as effective as the people who use them. Invest in training employees to understand how AI tools make their decisions. Ensure that your team knows all vital aspects of AI so they can even self-train if they want to.
3. Start Small with Pilot Projects
Rather than diving into full-scale AI integration, test its impact through small-scale projects. Add a small feature and leave it under the control of tech-savvy team members. There is no need for rushing, as a one-week delay doesn’t matter as much in the greater scheme of things. But these 5-10 extra days can help you understand whether you need some features and what you can change to make it more user-friendly for customers and staff.
4. Leverage the Right Tools
The next step is to adopt specialized AI tools tailored to your needs:
– Amplitude and Mixpanel for analytics and A/B testing.
– Zeda.io for managing product feedback and AI-driven documentation.
5. Continuous Monitoring and Adaptation
The last step is endless. Any software needs regular updates and bug fixes. AI-based software needs it even more than traditional platforms. The easiest way to ensure proper development and continuous adaptation is to collaborate with experienced AI development teams. They can tailor services to your needs, lower potential risks, and ensure smooth implementation.
The Future Of AI Tools Is Here: Why It’s Important To Leverage This Techinology Today?
AI is no longer a some entertainment for geeks or enterprises. Today, companies should implement AI-based tools just to stay afloat. These services can simplify all aspects of your businesses: from inner communication to customer personalization.
However, it’s vital to collaborate with experienced developers. Teams like Corpsoft Solutions, with a proven record integrating AI-based services, can ensure a seamless integration even of the most complex tools.
Start your AI journey today!. Book a meeting with the Corpsoft Solutions today to take the first step toward transforming your business!
FAQ
- What is emerging technology?
Emerging technology is a disruptive technology that is currently in its early stages. As of 2025, these are AI, blockchain, and quantum computing. They are already used in many businesses, but they are not so common like social media or cloud services.
- What is the most advanced AI right now?
Speaking of the first half of 2025, Sophia is the most advanced AI now. It understands many human concepts, which helps her make funny jokes. It understands gestures and facial expressions, so she could mimic actual human-ish reactions during conversations.
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