The influence of AI in 2025: Trends you should not miss

While 2023 was the year of awe and wariness, 2024 has become the year of experimentation and 2025 will be the time when companies start to get realistic about what AI can do in their organizations.

Companies have already started to move their PoCs into production and proposals to invest in AI are expected to increase over the coming months. However, there is still a lack of knowledge or doubts about this technology and its future. Therefore, we have compiled the most relevant AI trends that you should keep an eye on.

AI Trends

As we said above, the last two years have been a period of adaptation and experimentation with AI, but, thanks to this moment to better understand the technology, we are at a point where organizations have consolidated their data strategy and have become more systematic in their pursuit of value from AI.

The next goal of the AI strategy will be to operationalize LLMs, which will require evolved approaches to observability, governance, and security. Finding the balance between reliability, transparency, and explainability will be key to achieving AI and data-based projects that generate value and meet the real objectives sought by enterprises.

The overall challenges around governance, security, and compliance are directly related to data quality and AI strategies, leading us to operationalize AI. This may sound challenging at first, as it requires a data platform and tools focused on this technology, but if organizations have a unified data strategy, half the journey is already done. The other half would be to rely on AI tools that align with the objectives of each case, as well as to create a business culture around the technology.

AI and Machine Learning: Key Trends and Developments in 2025

The coming months will be marked by a shift from seeing AI as just another tool to a fundamental part of work and personal life.

AI-powered agents will do things with greater autonomy and simplify our lives, as well as be a key factor in finding new ways to address some of the biggest challenges we face.

For its part, generative AI increased from 55% to 75% over the last year among business leaders and decision-makers, and new AI tools will further increase its potential.

AI Models will become more capable and useful

We have already witnessed how AI models have been getting faster and more efficient, whether with tasks such as coding or writing text from scratch. And this will only get better in 2025.

Models with advanced reasoning capabilities can already solve complex problems with logical steps similar to how humans think before answering complex questions. This has proven very useful in fields such as coding, mathematics, science, medicine, and law, enabling them to generate code, compare contracts or documents, and execute multi-step workflows.

These advances will be very important in model innovation, but also in advances in data curation and post-training. Hence, making models faster, better and more specialized will lead to new AI experiences and greater usability.

Agents will revolutionize the way we work

AI agents are one of the big technology trends for 2025. One example is the figures shared by Microsoft, which says that nearly 70% of Fortune 500 companies already use Microsoft 365 Copilot to perform many repetitive and routine tasks, such as checking email and taking notes during Teams meetings.

In 2025, a new generation of AI agents will reach far beyond these tasks thanks to advances in memory, reasoning, and multimodal capabilities.

Thanks to this, companies can reimagine processes, such as creating HR reports and tasks, solving problems with devices or answering customer questions, and freeing employees from tedious tasks so they can focus on those with the greatest value.

In fact, companies can configure multiple agents to alert supply chain managers to inventory disruptions, recommend new suppliers, and execute sales orders. In addition, the breakthrough is the ability to create and use agents without extensive technical skills, as with Microsoft Copilot.

More efficient resource management

While AI requires resources such as energy, it is also a tool to address this very challenge.

Over the next few years, new AI-enabled data centers that do not consume water for cooling will be commissioned, expanding the use of super-efficient liquid cooling systems.

There will also be investment in carbon-free power sources to bring more carbon-free electricity to the grids where these AI centers are operated.

Measurement and customization to build responsible AI

Measurement serves to define and assess the risks of AI, something that is critical when developing something as important as responsible AI. Therefore, one of the big breakthroughs of 2025 will be testing and personalization.

To achieve AI that is free of bias or creates privacy or security issues, rigorous and thorough testing must be done. If risks and threats can be measured, they can be addressed or mitigated.

In fact, even as models become more secure, testing and measurement need to be brought up to the level of the worst possible threats.

Also very important will be the greater control that people will have over how AI applications work within organizations. They will be able to customize applications that filter content and set limits that suit their work.

Acceleration of scientific advances

We are already seeing the huge impact AI is having around the world and in numerous industries. One of these is the boost it is giving to scientific research, as well as the potential it has to unlock new capabilities in the natural sciences, sustainable materials, new drug discovery, or treatments.

In 2025, we can see how the use of AI in research is driving progress in addressing some of the world’s most pressing concerns, such as climate change and diseases.

Generative AI Trends

We could not dedicate a special section to specific GenAI trends. A recent Gartner report entitled “Hype Cycle for Generative AI, 2024”, tells us about four major trends that are attracting the greatest interest in the industry.

The first, already mentioned above, would be AI agents, models that move away from traditional chatbots to become a more active and effective profile. In order to meet our expectations, the models must evolve significantly, as they need reasoning, memory, and the ability to remember and contextualize things. And 2025 could be the time when we see these advances.

The second trend is multimodality, which is more familiar and has evolved from text-only models to more advanced examples that accept image, video, or audio input.

IA Open Source es la tercera tendencia, modelos que se han convertido, y lo harán aún más, en una valiosa forma para que las empresas los tomen como base para personalizarlos y desplegarlos de forma flexible.

The fourth is Edge AI, attributed to AI that is able to run without connection to the cloud. An example is Apple Intelligence, which, thanks to this local execution and processing, is able to protect the privacy of data and interaction with the machine.

The last trend is somewhat more abstract and refers to the control of expectations and the danger of falling into disappointment when the expected objectives are not achieved in a short period. Therefore, we must be clear that AI is making great progress, but we must have a little patience to witness its full potential.

Trends in AI Security

Another major pillar of AI trends is related to cybersecurity. 2025 is expected to be the time when the total cybercrime market will expand as attackers add more tactics to their tools. These cybercriminals will continue to take advantage of the volatile geopolitical environment and cybersecurity challenges will move to new frontiers, but thanks to innovation in AI agents, the way will be paved for the rise of multi-agent systems.

According to Cyberdaily, annual cybercrime revenues are estimated to exceed $8 trillion, and the continued growth of devices and systems also increases potential attacks. In fact, it is estimated that 18.8 billion connected devices will be online by the end of 2024. Hence, the growing adoption of AI is focusing on driving even more interconnected systems, as well as new data centers and infrastructure worldwide.

On the other hand, in 2025 we will see increased innovation and adoption of AI agents, as well as the emergence of multi-agent systems, where groups of autonomous agents work together to tackle complex tasks. This will pose new cybersecurity challenges, so specialized teams will need to think about how to protect these systems to prevent data poisoning, information injection, or social engineering attacks.

This is two-sided, as threat actors will try to attack these AI agents and multi-agent systems that specialize in autonomous tasks such as surveillance, brokering, exploiting vulnerabilities, summarizing data for intelligent exfiltration, etc. The good news is that we will also start to see use cases of multi-agent systems in cyber defense, with potential for early use cases in incident response, application testing, and vulnerability detection.

The risk of insider threats will increase, forcing organizations to expand Zero Trust strategies. This approach will give companies a powerful weapon, which will need to integrate a behavioral understanding dimension to their traditional security approaches.

Protecting space infrastructure and systems will also become a critical imperative. The space industry will face new challenges as post-orbit threats increase and satellites move up the list of targets.

Artificial intelligence is not a passing trend; it is already positioning itself as a fundamental game changer in the global business and economic landscape. Leaders who develop robust AI strategies will be able to position their organizations at the forefront of growth, innovation and leadership for years to come.

At the speed at which this technology is advancing, and especially with the advent of generative AI, there is little room for reflection for companies that are not yet incorporating AI-driven strategies, putting them at serious risk of being left behind.

Strategic decisions are the most important way to influence a business, and if you don’t know where to start, Plain Concepts can help you clarify all your doubts and shape a strategy that creates real value for your business.

We will design your strategy together, so that you have a protected environment, choose the best solutions, close technology and data gaps, and establish rigorous oversight to achieve responsible AI. This will enable you to achieve rapid productivity gains and build the foundations for new business models based on hyper-personalization or continuous access to relevant data and information.

We have a team of experts who have been successfully applying this technology in numerous projects, ensuring the security of our clients. We have been bringing AI to our clients for more than 10 years and now we offer you an AI Adoption Framework:

• Unlock the potential of end-to-end generative AI.
• Accelerate your AI journey with our experts.
• Understand how your data should be structured and governed.
• Explore generative AI use cases that fit your goals.
• Create a tailored plan with realistic timelines and estimates.
• Build the patterns, processes, and teams you need.
• Deploy AI solutions to support your digital transformation.

Don’t wait any longer to start understanding these trends and make the most of them!