2024 was a challenging year, and there are no two ways to go about it. Some businesses struggled to keep their doors open, while others proved just how resilient they could be.
Now that we've stepped into 2025, let's hope for a better year and talk about the future. As we explore the top tech trends 2025 promises to deliver, here are my picks for what to watch.
The next evolution of AI
AI is leading the way - as to be expected.
The last couple of years have seen mass adoption, with a McKinsey survey showing that AI adoption jumped to 72% in 2024, compared to a slow climb from 50% over the previous six years. With adoption now widespread, it's all about refining how AI is used to make it more efficient and impactful. Here's where the changes are happening and where I predict 2025 will take us:
Specialized models
Large Language Models (LLMs) like OpenAI's ChatGPT are now the norm, but another innovation is stealing the spotlight: Small Language Models (SLMs). These task-specific AI tools are leaner, faster, and perfect for niche applications where precision matters most. In 2025, I expect to see more organizations using SLMs for specific use cases instead of relying on overarching LLMs, which are much more intensive regarding resources and cost (in most cases).
SLMs are being used on a smaller scale, data, resources, and task-wise, to undertake tasks such as sentiment analysis and content creation, which are low-risk uses of AI and can be easily overseen by humans. It's becoming highly adopted, and I expect to see more variations and testing of SLMs this year.
The truth vs. hallucination: instilling trust in AI
AI, particularly Generative AI (GenAI), is being used everywhere, and one critical challenge has been ensuring that the information it provides is factual and unbiased. With GenAI increasingly used for decision-making, misinformation, more commonly called "hallucinations," can have significant consequences.
In 2025, it will be out with the hallucinations and in with trustworthy AI, or what I call a "truth engine."
A "truth engine" would create a secure layer between raw data and AI tools, ensuring fact-based insights and reliable outputs from the front-end tech, such as chat engines and back-end analytics systems. The secure and trustworthy foundation will empower businesses to trust AI for critical insights without second-guessing its credibility.
Trust and security underpin Panintelligence's adoption of AI. For 2025, we will focus on truth verification, traceability, and translating data into actionable insights, setting a new benchmark for transparency in the AI ecosystem.
AI-to-AI communication
AIs are starting to talk to each other, and it's aiding in streamlining tasks. By communicating directly, they're making complex workflows smoother, smarter, and more integrated. For example, supply chains could use AI-to-AI communication to practically manage themselves or customer service systems that efficiently manage communications and solutions.
However, as AI-to-AI interactions grow, the importance of grounding their exchanges in verified truth increases exponentially.
Miscommunications or unverified data being passed between systems could snowball into larger issues. This makes integrating a secure, truth-enforcing layer even more crucial in the future AI landscape.
AI in security: New threats and defences
AI isn't just being used for good—cybercriminals are using it to their advantage. Generative AI (GenAI) makes attacks like phishing and ransomware even more challenging to detect. Here are some ways in which businesses are fighting back, aligning with key tech trends 2025 to address growing security challenges:
Sophisticated threats demand sophisticated responses
Hackers are increasingly using AI to create deepfakes, launch targeted attacks, and even democratize cybercrime so that small groups can cause chaos. GenAI and GenAI are going head-to-head to attack and defend, with businesses deploying them for smarter threat detection and rapid response.
Regulatory measures
Governments are stepping up with new rules to help standardise and combat the use of AI. In 2025 we expect to see more legislation put in place, or more countries adopting existing legislation. Some examples of existing legislation are as follows:
- EU's Cyber Resilience Act (CRA): This 2024 legislation requires stronger security for everyday tech products.
- US National Cybersecurity Strategy: Updated last May, it focuses on IoT security, international standards, and more robust cyber drills.
Disinformation security
Can you trust everything you read on the internet? Most people would say no (I'd like to think anyway), but it is getting more difficult to understand what is real or not. AI's ability to spread (and fight) disinformation is essential. I expect to see more and more tools being developed to sniff out fake news and keep our information ecosystems trustworthy.
Job security vs. automation
AI's continuing evolution has reignited the debate about automation and jobs, AI vs human. Here's what's happening:
The rise of agentic AI
Agentic AI works with minimal human input and is causing a stir with concerns about job displacement. The goal now is to find a balance where automation handles the mundane work, leaving humans to focus on the creative, strategic and governing capacity - keeping the human in the loop.
Emerging roles
New jobs are cropping up in areas like AI ethics, regulation, and oversight. These roles show that humans still play a crucial part in guiding AI's development and ensuring it's used responsibly.
Innovation through partnerships
Moving away from the transformative nature of AI as a whole, partnerships will play an important role in truly innovative breakthroughs. You know what they say: teamwork makes the dream work. Organizations are teaming up to tackle challenges that they can't handle themselves, and the days of holding all your cards close to your chest are disappearing.
Comprehensive Solutions
Tech is moving towards an all-in-one solution model, but this can create a jack of all trades and a master of none if collaborations with specialists are not put in place. When I think of Panintelligence, it's the same story. You have an app, solution, or product that you want to gather insights from, but development in-house is slow and lethargic. Your users need it, so you collaborate or partner with an expert to get the job done—it's the same thing.
Cross-industry teamwork makes innovations possible. These integrated approaches solve big problems while delivering real value to users.
The rise of Robotic Process Automation (RPA)
Robotic process automation (RPA) uses intelligent automation technologies to perform repetitive office tasks of human workers, such as extracting data, filling in forms, moving files, and more. RPA can work with AI or singularly remove repetitive tasks from employees to free up their time for more meaningful work.
RPA tools will become the norm for a lot of organizations, and in 2025, I expect to see RPA work on some tasks and then be further enhanced with the use of AI, as expected.
Conclusion: A glimpse into the future
It's AI, AI, AI everywhere. Yes, we expected that but the deeper you dig, the more you uncover how far its influence spans.
I feel that the key to thriving will be by staying informed, adaptable, and by embracing change. And as AI evolves, anchoring it in truth, transparency, and security will ensure it becomes a cornerstone of the most impactful tech trends 2025.
