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.

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.

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.

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.

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!