Trask Future Insight 2025: The Race for AI Advantage Begins
Are we on the brink of the end of traditional software? Imagine a world where AI agents communicate and even conduct business transactions independently. Artificial intelligence is evolving rapidly, gaining new capabilities. The pace of change in both business and the workforce will accelerate. Companies that adapt quickly and embrace innovative technologies will gain a significant competitive edge.
The seventh annual of Trask Future Insight 2025 presented the key technological challenges businesses will need to navigate. "In a turbulent environment where long-term planning now means looking six months ahead, adaptability to innovation is absolutely essential," explains Jan Antoš, CTO of Trask.
Top 10 Key Technology Trends According to Trask
- AI Agents – A business revolution driven by autonomous technology.
- Cybersecurity – New opportunities for automating both attacks and defense using AI.
- Integration Infrastructure – Self-service integration and self-integrating applications will transform system connectivity.
- Data Infrastructure – The ability to "converse with data" will replace many of today’s reporting tools.
- Hyper-personalization – Customizing services to meet individual customer needs.
- Platform Engineering – Systematic platform development to support business technologists.
- AI-Augmented Development – A shift from code copilots to design-to-code tools
- Proof of Value (PoV) – Moving away from PoC, with a focus on significant business impact.
- Green Software Engineering – Optimizing IT energy consumption, particularly due to AI’s growing demands.
- IT Job Market – Emerging skills and roles in AI and data analytics.
Technology Investments Are a Must! Companies Focus on AI and Cybersecurity
To stay ahead of the competition, companies must invest in technological innovation. Where are they planning to allocate the most resources? According to Gartner analysts, the top investment areas include:
- Cybersecurity (88%)
- Artificial Intelligence (86%)
- Business Intelligence & Data Analytics (82%)
- Cloud Platforms (77%)
- Application Modernization (75%)
"The most impactful technology for businesses today is artificial intelligence - 74% of CEOs at major enterprises believe this."
— Jan Antoš.
The Key to AI Implementation Success: Proof of Value over Proof of Concept
Despite the growing adoption of AI, many companies struggle with implementation. On average, only two out of 27 Proof of Concept (PoC) projects make it to full production.
"One of the main reasons is unrealistic expectations. Companies focus more on execution than on the actual value technology brings. That is why we've replaced PoC with PoV - Proof of Value at Trask. This approach emphasizes significant business impact," explains Trask CEO Pavel Riegger.
As part of this shift, the role of the CIO is expected to evolve. CIOs should take responsibility for the success of digital projects and bridge the gap between IT, top management, and business operations. However, according to Gartner, only 16% of CIOs currently function in this capacity.
AI Agents on the Rise: A Technological Revolution Enabling New Business Models
One of the biggest trends shaping the future is the emergence of Large Activity Models (LAMs), enabling AI to perform specific tasks autonomously. While AI has primarily been used for information retrieval and content generation, it is now evolving to manage complex problem-solving tasks.
This advancement paves the way for fully autonomous AI agents, whose widespread adoption is expected within the next three years. "This shift represents a fundamental change in how we approach technology. It opens new opportunities for business models, potentially even A2A (AI-to-AI) commerce, where AI agents conduct transactions independently," says Jan Antoš.
From Design-to-Code to Green Software Engineering: AI Reshaping IT Development and Operations
AI is already reshaping business operations, and its influence is growing. Companies should also focus on related technological trends, including AI-augmented development. Today, most developers use copilots, but the next major shift will be automating the transition from design to development, driving the rise of design-to-code tools.
Another key trend is Green Software Engineering. As technology demands continue to rise, sustainability is becoming a priority. AI-driven processes consume up to 10 times more energy than standard internet searches. This has led to new energy-efficient solutions, such as Carbon-Aware APIs, which can reduce energy consumption or automatically optimize energy use based on supply and demand.
Green software engineering is now an essential area for companies looking to stay ahead in efficiency and sustainability.
"Cybersecurity is also a major concern. How do we defend against new threats? The answer is to use the same tools as cybercriminals - artificial intelligence," warns Jan Antoš.
The Fastest-Growing AI-Related Jobs by 2030
AI is also transforming the job market. The fear of widespread job losses is unfounded - while AI will replace workers in low-value areas, it will also create new opportunities, particularly for those skilled in AI technologies. The ability to work with data, machine learning, and cybersecurity will be among the most in-demand skills. Predictions indicate that AI will generate more jobs than it will eliminate.
According to Gartner, the fastest-growing job roles by 2030 include:
- Big Data Specialist (+110%)
- Fintech Engineer (+90%)
- AI & ML Specialist (+82%)
- Software or Application Developer (+55%)
- Security Management Specialist (+50%)
Bridging the Gap Between Technology and Business: The Rise of Self-Service Platforms
Another major technology trend is Platform Engineering, which enables organizations to build self-service platforms that streamline operations and increase agility.
"Companies need to scale their business, production, flexibility, and workforce. However, the success rate of digital projects remains low - only 48% achieve their intended goals. The key issue is a lack of collaboration and strategic alignment between technology and business teams. Platform Engineering effectively bridges this gap, enabling faster implementation of changes," explains Martin Citron, Integration Competency Leader at Trask.
A Single Source of Truth: High-Quality Data Enables Hyper-personalization
As digital maturity grows and competition intensifies, capturing customer attention is becoming increasingly difficult - personalization and rapid response times are the keys to engagement.
Hyper-personalization, one of the most discussed trends, leverages advanced analytics, AI, real-time data processing, and cross-channel interactions. It allows companies to deliver precisely what customers need at the exact moment they need it. This makes data the most valuable competitive advantage.
However, many companies still struggle with data silos. Employees spend countless hours each week searching for information across fragmented systems, which not only slows down their work but also delays customer responses.
The solution lies in a new generation of data platforms, capable of unifying data from various sources and incorporating native AI support. "It is now possible to 'talk' to data - asking questions in natural language and receiving AI-generated analytical insights," adds Jan Antoš.
