In a world of ever-changing technology, if you blink, you might miss the newest software developments or the latest digital capabilities of machine intelligence. The acceleration of new tech continues to reshape industries with advancements in areas like artificial intelligence and quantum computing – making what we once thought was impossible a reality.
Predictions for 2025 are shaping up to be an evolutionary convergence of sophisticated and autonomous systems that will help industries tackle issues like energy efficiency, cybersecurity, and risk management.
Let’s take a closer look at what’s on the horizon…
Technology Magazine recently broke down leading global IT researcher, Gartner’s predictions for 2025 and what these new technological advancements mean for global tech industries going forward. Here are a few of those tech trends predicted to debut in 2025:
Agentic AI
Named the top tech trend of 2025 by Gartner, Agentic AI refers to artificial intelligence systems designed to act as autonomous agents. This type of AI represents a huge step towards intelligence with more human-like characteristics.
Agentic AI systems can work independently and with little human oversight. An example of Agentic AI include tools like AutoGPT, which generate, prioritize, and complete tasks using AI models like GPT. Another example would be the use of AI-powered robotics to navigate and perform tasks independently in industries like healthcare and manufacturing.
Agentic AI can also take the form of a virtual assistant, going above and beyond simply responding to commands, but rather managing calendars, workflows, and communication – much like a human assistant would accomplish.
AI Governance Platforms
AI Governance Platforms are tools and systems that are designed to aid in the management and monitoring of AI systems. The goal is to ensure organizations that AI systems are being developed and deployed responsibly and ethically. These platforms will assist in addressing risks, all while complying with regulatory requirements and promoting transparency and accountability, all within the AI framework.
It is predicted that by 2028, all organizations using AI Governance Platforms will experience 40% fewer AI-related ethical issues, compared to those who are not using these governing systems.
The goal of this technology speaks for itself – to identify and prevent the spread of disinformation through detection, monitoring, prevention and cybersecurity. This new technology will aim to discern content through methodological systems to ensure integrity and prevent digital issues like deepfakes, phishing, and disinformation campaigns.
According to Gartner, it is predicted that by 2028, nearly half of all enterprises will begin adopting products and services which address disinformation. Major tech companies have already implemented such security measures, including Meta, who mandated the disclosure of all AI-generated content. Google and Microsoft are currently in the development of advanced detection algorithms to combat disinformation.
Postquantum Cryptography
Postquantum Cryptography (PQC) refers to encryption methods designed to stay secure against the threats posed by quantum computers. Quantum computers could solve certain complex problems, like factoring large numbers, much faster than regular computers, which could break current encryption systems.
There’s significant focus on postquantum cryptography (PQC) in the tech world because it addresses the potential threat of quantum computers breaking current encryption methods.
According to Gartner, switching cryptography methods is no easy endeavor. It requires a longer lead time for organizations to prepare themselves for this huge transition. Several tech companies have already begun taking the first steps of this shift, including HP, who will become the first PC maker to protect its on-board firmware with PQC. Google, IBM, and Microsoft are also in development of quantum-resistant algorithms.
As of August, the US National Institute of Standards and Technology (NIST) is leading efforts to standardize PQC to help guide the industry’s new transition and adopt quantum-safe cryptographic systems.
Ambient Invisible Intelligence
Ambient Invisible Intelligence aims to seamlessly integrate AI-powered systems, allowing technology to work in the background without users noticing that this is happening. Devices and systems can automate tasks and provide services that essentially create an invisible user experience.
For example, in the healthcare industry, patients wear sensors which monitor vitals and allow hospitals to detect irregularities, alerting caregivers silently in the background when a patient needs assistance. In the workplace, smart offices utilize technology that can accomplish many things in the background, including optimizing energy efficiency and adjusting room settings.
Energy-Efficient Computing
To address environmental issues, we turn to energy-efficient computing – the design and use of computer systems (hardware and software) that work to minimize energy consumption and improve performance. The goal is to reduce operational costs while minimizing the negative impact on our environment. This endeavor hopes to address the growing energy demands of modern technology infrastructures, including data centers, personal devices, and edge/ cloud computing systems.
Major tech companies (Google, Microsoft, and Amazon) are already using renewable energy, AI-based cooling systems, and optimized servers to reduce energy consumption. In fact, Google’s AI-driven cooling reduces energy used for data center climate control by nearly 40%.
As energy demands increase, energy-efficient computing will play a critical role in minimizing the environmental impact while ensuring sustainable digital transformation.
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