Featured Post from Aston University

Decoding the Future of AI: From Disruption to Democratisation and Beyond

By Sudhir Pai, Aleks Subic, Alexeis Garcia Perez and Gareth Wilson

Apr 8, 2025

5 min

Alexeis Garcia Perez
The global AI landscape has become a melting pot for innovation, with diverse thinking pushing the boundaries of what is possible. Its application extends beyond just technology, reshaping traditional business models and redefining how enterprises, governments, and societies operate.


Advancements in model architectures, training techniques and the proliferation of open-source tools are lowering barriers to entry, enabling organisations of all sizes to develop competitive AI solutions with significantly fewer resources. As a result, the long-standing notion that AI leadership is reserved for entities with vast computational and financial resources is being challenged.


This shift is also redrawing the global AI power balance, with a decentralised approach to AI where competition and collaboration coexist across different regions. As AI development becomes more distributed, investment strategies, enterprise innovation and global technological leadership are being reshaped. However, established AI powerhouses still wield significant leverage, driving an intense competitive cycle of rapid innovation.


Amid this acceleration, it is critical to distinguish true technological breakthroughs from over-hyped narratives, adopting a measured, data-driven approach that balances innovation with demonstrable business value and robust ethical AI guardrails.


CaptionResizeWrap TextRemove


Implications of the Evolving AI Landscape


The democratisation of AI advancements, intensifying competitive pressures, the critical need for efficiency and sustainability, evolving geopolitical dynamics and the global race for skilled talent are all fuelling the development of AI worldwide.


These dynamics are paving the way for a global balance of technological leadership.


Democratisation of AI Potential


The ability to develop competitive AI models at lower costs is not only broadening participation but also reshaping how AI is created, deployed and controlled.


Open-source AI fosters innovation by enabling startups, researchers, and enterprises to collaborate and iterate rapidly, leading to diverse applications across industries. For example, xAI has made a significant move in the tech world by open sourcing its Grok AI chatbot model, potentially accelerating the democratisation of AI and fostering innovation.


However, greater accessibility can also introduce challenges, including risks of misuse, uneven governance, and concerns over intellectual property. Additionally, as companies strategically leverage open-source AI to influence market dynamics, questions arise about the evolving balance between open innovation and proprietary control.


CaptionResizeWrap TextRemove


Increased Competitive Pressure


The AI industry is fuelled by a relentless drive to stay ahead of the competition, a pressure felt equally by Big Tech and startups. This is accelerating the release of new AI services, as companies strive to meet growing consumer demand for intelligent solutions. The risk of market disruption is significant; those who lag, face being eclipsed by more agile players.


To survive and thrive, differentiation is paramount. Companies are laser-focused on developing unique AI capabilities and applications, creating a marketplace where constant adaptation and strategic innovation are crucial for success.


Resource Optimisation and Sustainability


The trend toward accessible AI necessitates resource optimisation, which means developing models with significantly less computational power, energy consumption and training data. This is not just about cost; it is crucial for sustainability.


Training large AI models is energy-intensive; for example, training GPT-3, a 175-billion-parameter model, is believed to have consumed 1,287 MWh of electricity, equivalent to an average American household’s use over 120 years1. This drives innovation in model compression, transfer learning, and specialised hardware, like NVIDIA’s TensorRT.


Small language models (SLMs) are a key development, offering comparable performance to larger models with drastically reduced resource needs. This makes them ideal for edge devices and resource-constrained environments, furthering both accessibility and sustainability across the AI lifecycle.


CaptionResizeWrap TextRemove


Multifaceted Global AI Landscape


The global AI landscape is increasingly defined by regional strengths and priorities. The US, with its strength in cloud infrastructure and software ecosystem, leads in “short-chain innovation”, rapidly translating AI research into commercial products. Meanwhile, China excels in “long-chain innovation”, deeply integrating AI into its extended manufacturing and industrial processes. Europe prioritises ethical, open and collaborative AI, while the APAC counterparts showcase a diversity of approaches.


Underlying these regional variations is a shared trajectory for the evolution of AI, increasingly guided by principles of responsible AI: encompassing ethics, sustainability and open innovation, although the specific implementations and stages of advancement differ across regions.


The Critical Talent Factor


The evolving AI landscape necessitates a skilled workforce. Demand for professionals with expertise in AI and machine learning, data analysis, and related fields is rapidly increasing. This creates a talent gap that businesses must address through upskilling and reskilling initiatives. For example, Microsoft has launched an AI Skills Initiative, including free coursework and a grant program, to help individuals and organisations globally develop generative AI skills.

What does this mean for today’s enterprise?


CaptionResizeWrap TextRemove


New Business Horizons


AI is no longer just an efficiency tool; it is a catalyst for entirely new business models. Enterprises that rethink their value propositions through AI-driven specialisation will unlock niche opportunities and reshape industries. In financial services, for example, AI is fundamentally transforming operations, risk management, customer interactions, and product development, leading to new levels of efficiency, personalisation and innovation.


Navigating AI Integration and Adoption


Integrating AI is not just about deployment; it is about ensuring enterprises are structurally prepared. Legacy IT architectures, fragmented data ecosystems and rigid workflows can hinder the full potential of AI. Organisations must invest in cloud scalability, intelligent automation and agile operating models to make AI a seamless extension of their business. Equally critical is ensuring workforce readiness, which involves strategically embedding AI literacy across all organisational functions and proactively reskilling talent to collaborate effectively with intelligent systems.


Embracing Responsible AI


Ethical considerations, data security and privacy are no longer afterthoughts but are becoming key differentiators. Organisations that embed responsible AI principles at the core of their strategy, rather than treating them as compliance check boxes, will build stronger customer trust and long-term resilience. This requires proactive bias mitigation, explainable AI frameworks, robust data governance and continuous monitoring for potential risks.


CaptionResizeWrap TextRemove


Call to Action: Embracing a Balanced Approach


The AI revolution is underway. It demands a balanced and proactive response. Enterprises must invest in their talent and reskilling initiatives to bridge the AI skills gap, modernise their infrastructure to support AI integration and scalability and embed responsible AI principles at the core of their strategy, ensuring fairness, transparency and accountability.


Simultaneously, researchers must continue to push the boundaries of AI’s potential while prioritising energy efficiency and minimising environmental impact; policymakers must create frameworks that foster responsible innovation and sustainable growth. This necessitates combining innovative research with practical enterprise applications and a steadfast commitment to ethical and sustainable AI principles.


The rapid evolution of AI presents both an imperative and an opportunity. The next chapter of AI will be defined by those who harness its potential responsibly while balancing technological progress with real-world impact.


Resources


Sudhir Pai: Executive Vice President and Chief Technology & Innovation Officer, Global Financial Services, Capgemini
Professor Aleks Subic: Vice-Chancellor and Chief Executive, Aston University, Birmingham, UK
Alexeis Garcia Perez: Professor of Digital Business & Society, Aston University, Birmingham, UK
Gareth Wilson: Executive Vice President | Global Banking Industry Lead, Capgemini


1 https://www.datacenterdynamics.com/en/news/researchers-claim-they-can-cut-ai-training-energy-demands-by-75/?itm_source=Bibblio&itm_campaign=Bibblio-related&itm_medium=Bibblio-article-related


Connect with:
Alexeis Garcia Perez

Alexeis Garcia Perez

Professor Of Digital Business And Society

Garcia Perez researches the relationships between people and technology, cyber security management and data-driven innovation

Cyber Security ManagementDigital LeadershipDigital TransformationDigital ResilienceKnowledge Management
Powered by

You might also like...

Check out some other posts from Aston University

3 min

New research partnership to develop biodegradable gloves from food waste for healthcare sector

Knowledge Transfer Partnership between Aston University and PFE Medical to develop a biodegradable clinical glove from food waste The gloves will provide a low-cost, convenient and sustainable alternative to the 1.4bn disposable gloves used in the NHS each year The innovation will reduce clinical waste and costs and help the NHS reach its net zero goals. Aston University and Midlands-based company PFE Medical are teaming up to create biodegradable gloves made from food waste for use in the NHS. They will offer a low-cost, convenient alternative to disposable gloves without compromising patient safety. More than 1.4bn disposable gloves are used by the NHS each year. They create large volumes of clinical waste which has both an environmental and economic cost. The Knowledge Transfer Partnership (KTP) project will develop a more sustainable alternative made from polymers derived from food waste such as orange peel, able to degrade naturally. The gloves will initially be for use during low-risk tasks such as ultrasound scans, rather than in more critical situations such as operating theatres. The gloves would be designed to not only reduce clinical waste and costs in the NHS, but also carbon emissions, helping the NHS reach its goal to be the world’s first net-zero health service. With most personal protective equipment (PPE) currently sourced from Chinese manufacturers, the goal is to develop a biodegradable glove that can be manufactured using a UK supply chain. The challenging project draws on Aston University’s expertise in sustainable polymer chemistry, centred at Aston Institute for Membrane Excellence (AIME). Aston University has one of the largest research groups of polymer chemists in the UK. The project will be led at the University by Professor Paul Topham, director of AIME, and Dr James Wilson, AIME associate member. The research team have chosen to focus on polymers from food waste in order to ensure that the final product can be manufactured sustainably. Most polymers are currently made from petroleum. Polymers made from food waste, ranging from fruit waste to corn or dairy products, have the potential for antioxidant and antibacterial properties if designed appropriately. The team will manipulate the polymer molecules so that they include the right monomers (the smaller units which make up the molecules) in the right location to achieve the properties they require. Critical to the success of the project will be PFE Medical’s commercial and clinical experience of taking new innovations into medical use. It will be the third KTP between Aston University and PFE, following on from successful projects to develop an automated endoscope cleaner, now in use across University Hospitals Birmingham NHS Foundation Trust (UHB). Professor Topham said: “At Aston University, we have a long history of working with industry, of translating fundamental research into solutions for real world problems. This project with PFE Medical provides us with that route, to take our science and engineering and make a difference to peoples’ lives. That’s exactly where, as researchers, we want to be.” Rob Hartley, CEO of PFE Medical, said: “Our previous KTP with Aston University was a phenomenal success, thanks to the brilliant team we had on board. I’m just as excited by this project, which is looking to solve an equally long-standing problem. If we can achieve our goal, then the implications are huge, going far beyond the NHS to all the other situations where people are wearing disposable gloves.” KTPs, funded by Innovate UK, are collaborations between a business, a university and a highly qualified research associate. The UK-wide programme helps businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills. Aston University is a sector-leading KTP provider, ranked first for project quality, and joint first for the volume of active projects. For further details about this KTP, visit the webpage: www.aston.ac.uk/business/collaborate-with-us/knowledge-transfer-partnership/at-work/pfe-medical.

2 min

Aston University’s Professor Gina Rippon wins British Psychological Society book award for The Lost Girls of Autism

Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University, has won an award for her book, The Lost Girls of Autism The book won the 2025 British Psychological Society Popular Science Award It explores the emerging science of female autism, and examines why it has been systematically ignored and misunderstood for so long. The Lost Girls of Autism, the latest book from Gina Rippon, professor emeritus of cognitive neuroimaging at Aston University Institute of Health and Neurodevelopment (IHN), has won the 2025 British Psychological Society (BPS) Popular Science Award. The annual BPS Book Awards recognise exceptional published works in the field of psychology. There are four categories – popular science, textbook, academic monograph and practitioner text. With the subtitle ‘How Science Failed Autistic Women and the New Research that’s Changing the Story’, The Lost Girls of Autism explores the emerging science of female autism, and examines why it has been systematically ignored and misunderstood for so long. Historically, clinicians believed that autism was a male condition, and simply did not look for it in girls and women. This has meant that autistic girls visiting a doctor have been misdiagnosed with anxiety, depression or personality disorders, or are missed altogether. Many women only discover they have the condition when they are much older. Professor Rippon said: “It's such a pleasure and an honour to receive this award from the BPS. It’s obviously flattering to join the great company of previous winners, but I’m also extremely grateful for the attention drawn to the issues raised in the book. “Over many decades, due to autism’s ‘male spotlight’ problem, autistic girls and women have been overlooked, deprived of the help they needed, and even denied access to the very research studies that could widen our understanding of autism. This book tells the stories of these girls and women, and I’m thrilled to accept this prize on their behalf.”

3 min

New book from Aston University academic shows that Christmas tasks mostly fall on women

New book by Dr Emily Christopher shows differences in how household tasks are divided by men and women Book highlights that women tend to buy the Christmas presents and send cards Men often see women as being more thoughtful or having better knowledge of what people would like. A new book from Aston University’s Dr Emily Christopher reveals that when it comes to sending Christmas cards and buying Christmas presents, women are still mostly doing the work as they are perceived to have better knowledge of what people would like. Dr Emily Christopher, a lecturer in sociology and policy at Aston School of Law and Social Sciences, has recently published her book Couples at Work: Negotiating Paid Employment, Housework and Childcare, which look at how household tasks are divided by men and women and the reasons behind these divisions. The data for the book has been collated over an eight-year period with couples being interviewed twice to provide a robust set of results. It looks at how different sex parent couples combined paid work, housework and childcare. The research revealed how gender norms continue to shape how certain daily household jobs are divided. Women were more likely than men to clean the house, especially bathrooms, wash clothes and put clothes away. Men still tend to do tasks like mowing the lawn and DIY but now are also more likely to do the cooking and the grocery shopping. The research shows that the key to understanding how household tasks are divided lies in the meaning they hold for partners. With the festive season upon us, the book reveals that woman are largely responsible for the Christmas present buying and sending cards with 100% of those taking part in the research saying that women mostly carried out these tasks. This also included buying for the male partner's relatives. In instances where men had a 'helping' role in these tasks, this included being involved in the discussion or consulting on choice of presents, especially for children, with only a small minority buying presents for their own family. The data revealed that where women didn't choose and buy presents for their partners family, they were still involved in reminding their partners that this needed to be done or advising on choice of gifts, showing that women were still taking on the mental load of planning for the festive season. The book reveals that when men were questioned about why they didn't get involved in present buying, they drew on gender norms. Women were often described, by the men, as being more thoughtful or having better knowledge of what people would like. Men often described how family members wouldn’t receive presents at all if it relied on them. Although much of the gift giving and organising represented love and affection for the women, which many found enjoyable, many still saw it as work and expressed that they would like their partners' to be more involved. Dr Christopher said: “This book takes an in-depth look at the way in which everyday roles around the household are divided between men and women. “The research shows that over a period of eight years fathers increased their role in childcare tasks but this did not always extend to housework. “The pandemic was an opportunity to change how couples share housework but women were still more likely to carry out tasks like cleaning, washing clothes and putting clothes away and overwhelmingly remained responsible for the mental orchestration of family work.”

View all posts
Powered by