2025 will be the year of AI maturity in the enterprise. The evolution of AI has reached a point where increasingly, AI-powered agents will have the capabilities that make them indispensable to knowledge workers. This opens the door for Agentic Automation – a new level of AI support from which employees and companies will be able to benefit reliably for the first time.

UiPath (NYSE: PATH), a leading agentic automation and AI company, sheds light on what to expect in the coming year in its AI and Automation Trends 2025 report. UiPath’s predictions are based on extensive market analysis, current developments in AI research and experience from working with over 10,000 companies worldwide.

“AI has long since left the status of a trend behind. 2025 will be the year in which it establishes itself as an indispensable work tool in many industries through agent-based automation,” says Zakaria Haltout, Area Vice President MEA at UiPath. “The latest Astra Tech study reveals that in the MEA region, 65% of organizations are prioritizing AI-driven strategies, particularly in finance, government, and healthcare. As companies focus on addressing scalability and integration challenges, Agentic AI is poised to accelerate digital transformation and redefine operational efficiency.”

Autonomy within orchestration

The trends that lie ahead are undoubtedly linked to the development of technology. It is therefore a good place to start when analyzing the expected direction its use will take.

Trend I. The rapid development of AI agents that autonomously understand, plan and operate within complex workflows.

Prediction: Agent-based AI will allow companies to automate complex processes with minimal supervision, increasing productivity and opening up new opportunities for industry-specific automation solutions.

Preparation: Subject at least one process to agent automation. Passivity stifles innovation, so it is worth joining the pioneers in agentic AI or at least keeping a close eye on their activities.

Trend II. With the development of agent-based artificial intelligence, orchestration is becoming increasingly important.

Prediction: In order to realize the full potential of agentic AI, businesses will need a dynamic infrastructure that enables humans and robots to collaborate with agents. Additionally, it will need to enable their creation, deployment, as well as monitoring of their activities with transparency and compliance.

Preparation: Create a plan for the introduction and scaling of an agentic AI environment, taking into account the need for human oversight and the role of RPA robots as the ‘hands and feet’ of new agents.

New business strategies

Next year’s changes will not only affect the technology behind AI itself, but also the ways in which it can be used in a business context. Organizations will be rethinking how they approach problems such as technology debt or the lack of a concrete strategy when implementing AI.

Trend III. Executives are disillusioned with spending millions on AI without the expected results. Companies that implement AI without clear strategies to measure and demonstrate ROI will struggle to justify the costs.

Predicion: Companies need to develop procedures to track and measure the impact of AI on key business outcomes such as productivity, cost savings and revenue growth. The role of business technology providers will also increase. One of the most widespread uses of AI are ‘copilots’, which help employees with various office tasks. These are being developed by major enterprise technology providers such as Microsoft, GitHub and Google and are yielding excellent results. For example, UiPath has created Autopilot for Developers, which reduces automation development time by 75%.

Preparation: A greater focus on AI ROI measurement tools and strategies, a thorough analysis of the company’s use of the technology and training in the use of embedded tools such as copilots.

Trend IV. Heads of technical departments are turning to AIOps (Artificial Intelligence for IT Operations) tools to streamline operations, automate routine tasks and improve system reliability.

Prediction: As organisations increasingly rely on complex digital infrastructures, many are struggling with technology debt – accumulated inefficient processes and outdated systems that can slow down innovation or increase the cost of operations.

Preparation: Investing in AIOps can prove invaluable for managing technology ecosystems more effectively. This will reduce short- and long-term technology debt, while freeing up resources to drive innovation.

Regulatory landscape

Trend V. Escalating regulation: global lawmakers are working to control the power of AI.

Prediction: The AI Act introduced by the European Union could result in the first fine related to artificial intelligence. The EU is spearheading the introduction of increasingly restrictive regulations on the technology. This could discourage investment in AI within the EU and stifle growth, or alternatively become a model for legislation in the US, UK and Asia-Pacific, which the AI research communities are still waiting for.

Preparation: Implement robust data governance and adequate security measures, prioritise transparency as well as comprehensibility of AI algorithms and establish clear accountability structures for AI-related decisions.

The world of sports is undergoing a technological revolution, and at the heart of this transformation is artificial intelligence (AI). Sports teams and organizations can gain insights into athlete performance, injury prevention, and tactical strategies by using AI. AI has the potential to revolutionize the way athletes train and compete. AI algorithms can identify patterns, trends, and anomalies that would be difficult, if not impossible, for human analysts to detect. This data-driven approach can help athletes optimize their performance and reduce the risk of injuries.

One of the most significant applications of AI in sports is player performance analysis. By tracking metrics such as speed, acceleration, and heart rate, AI can provide coaches with detailed insights into an athlete’s strengths and weaknesses. This information can be used to develop personalized training plans and improve overall performance.

AI can also play a crucial role in injury prevention and recovery. Analyzing data on factors such as workload, sleep patterns, and nutrition can identify potential risk factors for injuries,  enabling coaches and trainers to take proactive measures to prevent injuries and optimize athlete recovery.

Additionally, AI-powered wearable devices can monitor an athlete’s vital signs in real-time, alerting coaches and medical staff to any potential issues. This can help to minimize the severity of injuries and accelerate the recovery process.

One of the most famous examples of AI and data analytics revolutionizing sports is the Oakland Athletics baseball team. The team, led by General Manager Billy Beane, used advanced statistical analysis to identify undervalued players and build a competitive team despite a limited budget.

While not explicitly AI, the statistical analysis and data-driven approach used by the Athletics laid the groundwork for the widespread adoption of data analytics in sports. The book “Moneyball” and the subsequent film adaptation popularized the concept of using data to gain a competitive edge. While the specific techniques used by the Athletics may not be as advanced as modern AI applications, the core principle of using data to make informed decisions remains relevant.

AI is not only transforming the way athletes train and recover but also the way games are played and watched. An in-depth analysis of vast amounts of data on player performance, team tactics, and historical match statistics can provide coaches with valuable insights into optimal strategies. Furthermore, AI is enhancing the fan experience.

As AI technology continues to advance, we can expect to see even more innovative applications in the world of sports. From personalized training plans to predictive analytics, AI is poised to revolutionize the way athletes perform and fans experience the game.

As the UAE leads the way in building a sustainable workforce environment, HP is redefining the Future of Work by designing solutions that inspire meaningful and collaborative work to accelerate progress and productivity. HP highlights its expertise in the AI-first world, emphasizing its commitment to delivering seamless, personalized experiences and improving business practices sustainably through AI-driven solutions.

“The technology people use every day can either hold them back or drive them forward, and the main objective for AI should always be to provide tangible benefits for creativity and efficiency,” said Peter Oganeasen, Managing Director Middle East and East Africa, HP. “At HP, we’re not just responding to the changes in the workplace -we’re leading them, ensuring individuals and businesses have the tools to thrive in an AI-driven world.”

Insights from HP’s Work Relationship Index reveal the critical transformative role of AI in enhancing work satisfaction and productivity. In 2024, AI adoption among knowledge workers surged to 66%, up from 38% the previous year. Workers who use AI report an 11-point higher satisfaction level in their relationship with work compared to non-users. However, the Index also revealed that only 28% of knowledge workers globally enjoy a healthy relationship with work, emphasizing the need for AI-enhanced tools to bridge this gap.

Additionally, people increasingly seek meaning from their jobs, particularly younger members of the workforce. According to a recent study, 89% of millennials say having a sense of purpose in their work is critical to them. HP’s vision for the future is one where work is rewarding and fulfilling. The company is creating technology with embedded AI capabilities that fit the needs of every worker, enabling them to make an impact wherever they are. With advancements in Generative AI, HP is now delivering the tools to help people work faster, think more creatively, and connect on a deeper level—all while being perfectly tailored to their unique work experiences.

HP’s Next-Gen AI PCs: Power and Performance Redefined

HP’s latest product lineup of AI PCS, including the HP EliteBook X Flip G1i, HP EliteBook X 14-inch, HP OmniBook Ultra Flip, embodies the company’s commitment to innovation:

• HP EliteBook X Flip G1i: Designed to unlock a modern leader’s full potential with its versatile x360 flip design, the HP EliteBook X Flip G1i is built from eco-friendly materials. It features AI-powered Intel Core Ultra 5 and 7 processors, advanced collaboration tools, and robust security.
• HP EliteBook X 14-inch: This powerful notebook boasts up to 55 TOPS of NPU performance, cutting-edge memory architecture, and AI-powered security features to support the most demanding workflows.
• HP OmniBook Ultra Flip: This 2-in-1 next-gen AI PC delivers flexibility and power for creators and freelancers, offering advanced features like a 3K OLED display, 20-hour battery life, and AI-enhanced collaboration tools, keeping data secure and protecting against cyber-threats.

Alongside these innovations, HP continues to lead in collaboration technology with its Poly portfolio, offering AI-enabled video conferencing solutions that redefine hybrid work experiences.