AI trends 2025: Embrace the technological revolution today

Over the past few years, AI technologies have been adopted at various levels, but many saw them more as a novelty than a practical tool. In 2025, the adoption of AI systems across industries is set to accelerate, marking a significant turning point. The percentage of business leaders and AI decision-makers using generative AI increased from 55% to 75% in 2024, and even more potential will be unlocked by new AI tools. Chris Young, Executive Vice President of Business Development at Microsoft, believes that artificial intelligence will soon transform every aspect of our lives, given that the use of AI across many organizations has already increased by 20%.

As we move into 2025, new frontiers of computing redefine what is possible, impacting industries like healthcare, eCommerce, transportation and logistics, education, media, and just about all of them. So what exactly has been going on with AI models? What other predictions for 2025 will help CIOs and IT leaders reinvent their organization’s AI strategy? Let’s find out!

The dawn of AI’s next chapter

Generative AI is gaining significant momentum, and the figures speak louder than any statement. In 2023, revenues from generative AI reached $67 billion, accounting for 2% of global IT revenues and a remarkable 378% increase since 2020. The market is projected to generate $1.3 trillion annually by 2032, nearly 20 times the 2023 value, and will account for over 12% of global IT revenues. The industry is expected to triple between 2026 and 2030, demonstrating revolutionary growth.

Chart 1. Global generative AI revenue and IT percentage (2020-2033)

And this comes as no surprise! Generative AI offers unparalleled versatility, providing a wide range of solutions and applications across various industries and use cases. Beyond popular AI tools like ChatGPT and Gemini, there is a growing demand for Copilot, a coding assistant, and MidJourney, an image-from-text generation tool. Overall, the modern AI landscape has something to offer, regardless of your purpose, budget, or technical background, making it accessible to both businesses and individuals.

Chart 2.Most Popular Generative AI Tools 2024

Now, before tackling the key trends that will reshape the future of AI, there’s an exciting announcement that can’t be ignored. GPT 5 is expected to be released in early 2025, so the tech community is buzzing with excitement. The updated language model is rumored to feature enhanced multimodality, with some suggesting it could take a significant step toward Artificial General Intelligence (AGI)—an AI system capable of outperforming humans in most economically valuable work.

AI agents: Overthinking the potential of AI

Let’s kick off with a definition. An artificial intelligence (AI) agent is a software or system that can define its workflow and use the tools at its disposal to carry out tasks on behalf of a user or another system. Although the terms “AI agent” and “GPT” are often used interchangeably, they’re different in their nature. While the first one can autonomously perform tasks and take proactive steps to solve problems, the second one was designed to generate one-time, human-like text outputs based on the prompts received.

Table 1. AI Agents vs. Language Models

Collaborative AI agents are designed to work alongside humans, assist with complex tasks, and automate processes whenever possible. These AI-powered tools learn from user feedback and adjust their behavior to meet both individual and organizational needs, setting them apart from typical AI tools. A prime example is the Do Anything Machine, a task management AI personal agent. This agent evaluates your tasks and ranks them based on several criteria, including deadlines, priority, and urgency. According to its developer, the Do Anything Machine is a ‘self-executing to-do list.’ Another example is Tusk, an AI coding agent that generates new code to address bugs and quality tickets in products. With just one click, engineers can convert tickets into pull requests thanks to Tusk’s integrations with GitHub, Jira, Notion, and Linear. Tusk secured $500,000 in pre-seed funding from Y Combinator in April 2024.

While the early 2020s saw the rise in popularity of large language models and question-answering systems, 2025 will be the year of AI agents—the top strategic technology capable of executing tasks. Even more groundbreaking developments are expected in the following years. According to Konstantine Buhler, a partner at Sequoia Capital, we can anticipate swarms and networks of agents collaborating—or even competing—with one another. Most importantly, agentic AI will shift its focus from merely instructing people on how to do the work to actually doing the work for them.

Energy-efficient computing for a sustainable future

In a recent survey, 84% of organizations say they are expanding their spending in data and AI efforts, and 82% are either utilizing or investigating AI. These numbers show the adoption of AI in 2025 is expected to grow even more, specifically in industries such as healthcare, fintech, edTech, and others. Traditional data centers are known for their massive energy consumption, meaning they are not the greenest technology out there. Energy-efficient computing, on the other hand, requires significantly less power without compromising performance.

So, how does it work? Gartner believes that using up-to-date hardware and efficient coding can bring organizations closer to sustainability, but on their own, they may not be sufficient. To see real impact, it’s critical to:

• Invest in energy-efficient hardware. Specialized processing units like GPUs or field-programmable gate arrays (FPGAs) are designed to handle AI workloads with minimal energy consumption.
• Adopt green data centers. Many facilities leverage renewable energy and advanced cooling systems to reduce environmental impact.
• Optimize AI models. Lightweight architectures, model pruning, and efficient algorithms lower computational demands.
• Leverage edge computing. To reduce the need for energy-intensive cloud activities, process data locally using energy-efficient hardware.

As the world is moving towards a greener future, the evolution of AI is bound to face a challenge only the most forward-thinking and sustainably-driven organizations will overcome.

Image processing unlocking new dimensions

According to a recent analysis by Grand View Research, Inc., the global digital image processing market is expected to reach USD 21.73 billion by 2030, growing at a robust CAGR of 19.7% from 2023 to 2030. But what exactly is image processing? It involves using algorithms and AI models to enhance, analyze, and modify images to extract valuable insights or generate new visual outputs. This technology transforms raw visual data into usable outputs for generation, analysis, or interpretation.

In the medical field, AI-enabled technologies evaluate images to detect illnesses early, while AI helps surgeons do precise operations. Retail and eCommerce utilize this technology to provide individualized customer experiences like virtual try-ons for clothing or makeup. Autonomous vehicles also benefit from AI-driven image processing by detecting objects, traffic signals, and lanes for safe navigation. Plus, Advanced Driver Assistance Systems (ADAS) can’t do without image processing: features like collision avoidance, and parking assistance. The most cutting-edge 3D modeling, increased generative AI precision, and wider applications in spatial computing and the Internet of Things could further revolutionize picture processing in the future. The future is promising!

Spatial computing reshaping realities

Spatial computing is one of the key trends for 2025, but it is far from a new concept. In 2003, researcher Simon Greenwold, then at the MIT Media Lab, defined it as ‘human interaction with a machine in which the machine retains and manipulates referents to real objects and spaces.’ This definition remains relevant today, and although it has evolved slightly, it still refers to technology that digitally enhances the physical world. Take, for example, the Apple Vision Pro. This device marks Apple’s first foray into spatial computing, signaling a shift from traditional devices to spatial computing systems.

But why is it so revolutionary? With consumers seeking more immersive and unique experiences, spatial computers can provide sophisticated visualization. Gaming is among the industries that have been impacted the most. This AI-generated technology takes gaming experiences to a completely new level, with people completely emerging into the entertainment reality. Beyond gaming, it introduces a brand new level of visualization in healthcare, manufacturing, and retail.

Interestingly, spatial computing can even help empower equal employment opportunities for people with disabilities. One NGO, the Dan Marino Foundation, has used spatial computing to assist neurodivergent students in interview preparation. Instead of relying on outdated slide decks and poorly made films, they employed spatial computing to create more immersive training. Teachers could monitor candidates’ reactions, eye contact, body language, and participation throughout the interview process by simulating both friendly and hostile interviewers. As a result, students gained a better understanding of the interview process and had the opportunity to practice their eye movement and self-presentation skills.

The market for spatial computing is expected to reach over $200 billion by 2025, and the numbers speak for themselves. This technology will continue redefining what’s possible, so organizations must adapt their business functions to fully leverage its potential.

Disinformation security in the digital age

Finally, disinformation security technology is among the most anticipated generative AI trends. The most recent generative AI tools have broad capabilities, from creating engaging clips and images to “deep-fakes”. Plus, misinformation has also become easier to generate and spread, meaning the demand for disinformation security has never been higher. It boils down to how people can use AI to spread lies and fight against them.

A recent MIT study shows that AI can mimic human decision-making with 85% accuracy by studying our behaviors. Naturally, this precision has its benefits and downsides — it can help you plan for the next trip considering all your preferences, or craft a convincing phishing email that mimics your tone and style to deceive your colleagues or friends. This is where disinformation security comes into play. It can significantly decrease fraud by improving identity validation and identifying fake news, data, or content distributed online. Further, it can also be useful in preventing identity theft and analyzing email content and links to ensure the safety of sensitive information. All these measures, and even more will become instrumental in a world where truth becomes the cornerstone of trust.

Top AI trends 2025: more to come

Summing things up, 2025 will see the continuation of the AI era, yet this technology will become increasingly sophisticated and will manage to execute a wide variety of tasks, even beyond its current capabilities. From safeguarding the truth online to helping people get the job done and taking entertainment to a completely new level — AI will continue to transform our productivity, mobility, and care.

Just like any other technology trend, generative AI models evolve from merely helping people, to executing tasks independently and professionally. Want to learn more about the strategic technology trends for 2025 and beyond? Contact Avenga, your trusted expert in digital transformation and AI development.