Expert Predictions for AI in 2025

AI may not be a totally new phenomenon, but modern AI technology has completely transformed the industry and plenty of other industries too.

However, one thing that’s become very clear, especially over the last year or so, is that while AI introduces a lot of exciting potential and ways to revolutionise existing tech, it also poses risks and some ethical concerns, among other things.

As a result, several laws and regulations have been introduced to the industry in an attempt to control what’s going on. But, unfortunately, it’s not as easy as just writing laws and implementing them. In order to do that effectively, you need to properly understand the industry and where it’s heading, and that’s the core of the issue – nobody really knows what’s to come.

Of course, that can be said about any industry, but for AI especially, because the most advanced aspects of the technology are incredibly modern, and the tech also seems to be progressing at a rapid pace. Arguably most importantly, however, AI stands to completely transform the world.

 

What Else Is In Store For 2025?

 

To gain some more insight into the complexities of the AI industry and its future, we spoke to a variety of different experts in the field, specialising in everything from medicine to cybersecurity.

The overwhelming opinion is that the industry has an incredible amount of potential to offer the world, but with it comes a lot of risk and complexity that needs to be understood and monitored.

As we reach the end of 2024, experts share their 2025 predictions for AI, telling us what they think the 2025 will be like for developing tech already in the pipelines as well as the industry more broadly.

 

 

Our Experts

• Niki Bansal: CEO of TeqBlaze
• Chetan Dube: Founder and CEO of Quan
• Christian Perry: CEO at Undetectable AI
• Andy Wilson: Senior Director, New Product Solutions at Dropbox
• Katrina Young: Chief Technology Officer and Futurist at Katrina Young Consulting
• Rob Batters: Director of Technical and Managed Services at Northdoor PLC
• Will Gibson: Vice President, Sales and Marketing at MapleWave
• Chris Royles: CTO in EMEA Field at Cloudera
• Kasia Borowska: MD and Co-Founder of Brainpool AI
• Henry Collins: Managing Director at Redpill
• Professor Eyal Zimlichman MD: Founder and Director of ARC Innovation and Chief Innovation and Transformation Officer at Sheba Medical Center
• Joseph George: General Manager of ITSG at GoTo
• Alex Stil: Chief Commercial Officer at Verve
• Dr. Alexandra Diening: AI Research Scientist and Author of “A Strategy for Human-AI Symbiosis”
• Wilfried Schobeiri: CTO at Ogury
• BS Teh: CSO at Seagate
• Michael Hanbury-Williams: UK MD at Greenbids
• Siggi Rakovic: CEO at Hunch
• Alex Collmer: Founder and CEO at Vidmob
• Monika Rai: Partner at EIP
• Alexander Igelsböck: CEO & Co-Founder at Adverity
• Simon Stone: GM International at LoopMe
• Paul MacKay: Regional VP in Cloud EMEA at Cloudera
• Salvatore Internullo: Chief Growth Officer at MINT
• Andrew Mole: CEO & Co-Founder at PubX
• Dave Mosley: CEO at Seagate
• Mike Britton: CIO at Abnormal Security
• Mindy Lieberman: CIO at MongoDB
• Ofir Bloch: Vice President of Strategic Positioning at WalkMe

 

Niki Bansal, CEO of TeqBlaze

 

 

“The rapid growth of ChatGPT and generative AI over the past two years has brought both profound opportunities and notable challenges to many sectors and departments, tech and HR function being amongst them. At TeqBlaze, a remote-first company operating at the cutting edge of AdTech, we’ve seen firsthand how this technology can enhance efficiency and transform traditional HR processes.

Generative AI has streamlined recruitment by automating CV screening, drafting personalised onboarding materials, and providing instant answers to employee queries, and this allows HR teams to focus on strategic initiatives rather than repetitive tasks.

As we move forward, I believe that generative AI will play a larger role in providing continuous feedback, using unbiased data to help HR deliver actionable insights while empowering employees to track their progress in real time.

I also think that it will help HR to create customised career development paths, training plans, and wellness programs that cater to individual needs, enhancing employee engagement and aiding retention of staff who will feel more support and valued by this approach, which can only be a good thing in the tech world, and other sectors.”

 

Chetan Dube, Founder and CEO of Quant

 

 

“Throughout the coming months, you will start hearing, seeing, and reading more about “Agentic AI.” As someone who has worked in the technology field, specifically AI, for decades, I can assure you that it isn’t a buzzword or fad. Agentics is the way of the future for all of us. Agentic AI refers to artificial intelligence (AI) software that can work autonomously, without much supervision from humans. It understands natural language, sets goals for itself, plans workflows, makes decisions, adapts to changing circumstances and, finally, learns and improves from interactions. It will transform the way we live and work.

For example, you will have new coworkers, that were the thing of science fiction in the not too distant past. Sooner rather than later, you will begin working alongside agentic agents, freeing you from mindless tasks and allowing you to focus on innovation, creativity, and personal and business growth.”

 

Christian Perry, CEO at Undetectable AI 

 

 

Andy Wilson, Senior Director, New Product Solutions at Dropbox

 

 

“In 2025, we’ll see meaningful AI implementations for everyone, whether that’s mobile phone enhancements from Apple or Google or a new wonder device. AI will evolve from being a helpful tool to becoming an integral part of daily life and work—and new technologies will blur the lines between digital and physical worlds, offering innovative ways to connect, create, and collaborate.

Mobile devices and wearables will advance, providing AI-powered experiences that feel seamless and intuitive. This rapid integration of AI will open up new opportunities, while also raising new questions for businesses—like how to balance personal AI tools with workplace policies and define boundaries between personal and business data.

At the same time, personalised AI agents will be a game changer. What started with simple tools like ChatGPT is now evolving into something more powerful. In 2025, these agents will become increasingly tailored to serve individual needs, transforming how people manage their daily lives and work. From personal assistants that help you manage your time, to custom AI analysts, these personalised agents will empower users to bring their own data to the table, offering insights and capabilities that were once reserved for big companies with deep pockets. 

As AI adoption accelerates, companies will fall into two categories: those that effectively integrate AI into their workflows and those that don’t. Digital-native companies and startups have already set up the infrastructure needed to make the most of AI, but larger, older businesses may struggle to catch up. For these companies, a lack of AI expertise or the reluctance to change could result in lost opportunities and a talent drain, as employees increasingly demand cutting-edge tools to do their best work. The competition for business efficiency will intensify, and those unable to adapt will find themselves falling behind.

Time will be a critical commodity in 2025. According to Statista, people spent 17 hours a week consuming online content in 2023, the average person works around 40 hours, and it’s recommended you should ideally get 8 hours of sleep. That leaves just 26 hours for everything else. As time becomes more precious, AI will play a central role in helping people to optimise it, especially in the workplace. For example, AI-powered scheduling tools will help individuals and businesses make smarter use of every hour. Meanwhile, AI-powered universal search tools will drastically reduce the time spent searching for scattered work content—whether it’s buried in apps, files, email or browsers. And this focus on time and efficiency optimisation will drive the shift towards smarter, more effective ways of working. 

In addition, specialised niche language models (LLMs) will emerge, offering highly tailored solutions to specific industries, sectors, and even roles. Unlike today’s more general LLMs, which produce broad responses, these specialised models will be focused on the unique needs of different industries. Whether it’s customer support for a tech company or specific legal advice, these LLMs will deliver high-precision results. The rise of these niche AI models will also allow smaller players to provide exceptional value to niche markets, while advanced automation tools will enable businesses to switch between different LLMs depending on the task, further enhancing efficiency.

As these advancements unfold, AI will do more than just streamline work—it will fundamentally change the way we approach productivity, creativity, and time management. By 2025, the businesses that embrace these tools will gain a competitive edge, while those that resist change will struggle to keep up.”

 

Katrina Young, Chief Technology Officer and Futurist at Katrina Young Consulting

 

 

“In my opinion, AI in 2025 will focus on balancing innovation with responsibility. We’ll see more AI-powered solutions integrated across industries, streamlining operations and enhancing user experiences. However, the spotlight will be on ethical safeguarding frameworks to address privacy concerns, algorithmic bias, and data transparency. Organisations will prioritise diverse and inclusive datasets, ensuring AI systems are fair and representative of all demographics.

AI will also redefine human collaboration, combining automation with traits like creativity, intuition, and emotional intelligence to transform workplaces and education systems. This fusion will pave the way for more personalised, human-centric solutions that not only solve problems but elevate how we connect, work, and learn.

The future of AI isn’t just about technological advancements—it’s about creating ethical, inclusive, and impactful solutions that serve the greater good. 2025 will mark a pivotal year for AI’s evolution toward a more equitable and transformative digital landscape.”

 

Rob Batters, Director of Technical and Managed Services at Northdoor PLC

 

 

“We will see a new era of computing. NVIDIA recently announced that the NVIDIA Blackwell platform has arrived — enabling organisations everywhere to build and run real-time generative AI on trillion-parameter large language models at up to 25x less cost and energy consumption than its predecessor. The NVIDIA Blackwell GPUs will be available in Azure VMs alongside a host of other technologies, bringing privately controlled AI to anyone with an account.

The Blackwell GPU features six transformative technologies for accelerated computing, which will help unlock breakthroughs in data processing, engineering simulation, electronic design automation, computer-aided drug design, quantum computing and generative AI. This will power a new industrial revolution as it realises the potential of AI for every industry. It will be exciting to see how this initiative continues to unfold in 2025 and beyond.”

 

Will Gibson, Vice President, Sales and Marketing at MapleWave

 

 

“As 2025 unfolds, AI is no longer just a tool—it’s a transformative force reshaping creativity, business, and human connection.

I am at once a futurist, tech enthusiast, sci-fi author, and Vice President at Maplewave, a commerce platform provider to the telecom industry. I predict a big shift in how AI collaborates with humans to drive innovation.

AI in 2025 isn’t about solving yesterday’s problems; it’s about co-creating tomorrow’s possibilities. From tools that design and deploy full campaigns at great speed to eCommerce platforms predicting needs before customers voice them, AI is empowering us to innovate faster and smarter than ever before.

Drawing on my deep expertise in retail and eCommerce and the global telecoms industry, the big challenge and opportunity is going to be the seamless integration of AI into workflows.

It’s not just about being faster; it’s about being better, and harnessing AI in the right ways can help you achieve that.

To sum up: “The future belongs to those who embrace AI as a partner, not just a tool.”

 

Chris Royles, CTO at EMEA

 

 

On How AI Agents Will Redefine Business Decision Making

“Currently AI still falls short of replicating human-level decision-making, but next year that is set to change with Agentic AI. 

“Agentic AI is set to drive a wave of innovation, transforming real-time problem-solving and decision-making. Expect these AI agents to optimize tasks with ant-like efficiency, navigating challenges quickly and adapting in real-time. This will see businesses building event-driven architectures that allow AI to react instantly to real-life events, revolutionizing industries like telecoms and logistics. 

“Agentic AI’s ability to run complex simulations will enable organizations to plan, test, and optimize faster than ever, offering real-time actionable insights. For instance, we will see telecom networks become smarter, where AI can anticipate disruptions like storms, enabling proactive steps to be taken to minimize potential service disruption, while also enhancing the overall customer experience in unexpected ways.” 

 

‘Always on’ AI Will Reignite Data Management Challenges

“In 2025, we’ll start to see AI infused into nearly everything, with it switched on by default. Your phone will automatically analyze your emails to suggest follow-ups or prioritize tasks based on your daily patterns – with models running locally to preserve your privacy. Your car will even predict optimal routes based on real-time traffic and weather data.”  

“With AI everywhere, the amount of new data generated will skyrocket. This will reignite data management challenges as organizations strive to gain insight from a growing volume and variety of AI-generated data. Poor data management could lead to disillusionment as companies find themselves overwhelmed by the constant stream of information, unable to leverage it effectively. 

“As AI becomes standard in daily operations, the challenge will be ensuring its insights are relevant and actionable, meeting minimum security and resilience expectations, and not just adding to the noise. To unlock AI’s full potential, businesses will need robust data management and multi-cloud strategies to access, store, and analyze data – whether on-prem, in the cloud, or at the edge – to extract the best value.” 

 

Kasia Borowska: MD and Co-Founder of Brainpool AI

 

 

“Artificial General Intelligence (AGI) has become a central topic of discussion, sparking debates around when AGI will arrive. Given the state of the AI regulatory landscape, this is not the conversation we should be having. With AGI set to surpass human intelligence, our focus must be on addressing current safety challenges before it’s too late and while we still have control.

Governments must mitigate AGI risks from the top down on an international scale by mandating the amount of resources invested into AI safety against AI development and ensuring all companies are transparent about AI implementation with regulators. Experts say at least a third of AI spend should be invested in safety, but currently less than 10% is being invested. Governments must establish clear AI frameworks which promote transparency and provide statutory underpinning to ensure enough is being invested in AI safety vs AI development before we arrive at AGI.”

 

Henry Collins, Managing Director at Redpill

 

 

 

 

“As generative AI continues to revolutionize healthcare, significant advancements are emerging in two key areas: patient-facing AI and provider-facing AI. Provider-facing AI, which automates tasks for clinicians, is much easier to develop and integrate and will continue to be implemented on a wider scale in 2025 to significantly address workforce shortages and burnout.

Patient-facing AI, including virtual nursing avatars to provide essential health information to patients, will expand as well but at a slower rate, due to the need for more complex development and stricter regulations. Both these types of genAI will reduce reliance on human staff, making healthcare more accessible and cost-efficient.”

 

 

 

 

 

“2025 will see consumers place a greater importance on personalised and relevant experiences while remaining vigilant towards brands’ ethical practices and sustainability measures.   

“The increasing dominance of AI in everyday life will condition people to expect brands to anticipate their needs seamlessly – almost telepathically. Advancements in AI-powered recommendation systems and customised creatives, growing environmental concerns, and ongoing economic pressures are all factors driving these changes, prompting consumers to make fewer but more intentional purchases. Brands that fail to balance personalisation and data privacy risk losing relevance.”

 

Dr. Alexandra Diening: AI Research Scientist and Author of “A Strategy for Human-AI Symbiosis”

 

 

“Augmentation is not just a trend—it’s a necessary course correction. For too long, companies have pursued AI for the sake of AI, chasing traditional metrics like efficiency gains and cost savings without considering the long-term impact on their workforce, customer base, and innovation culture.

This narrow focus has often led to more harm than good. Cognitive atrophy—where individuals lose their ability to perform tasks independently of AI—is becoming a real concern. Over-reliance on AI systems undermines human skills, while tools like AI co-pilots in coding have shown that they can introduce higher security vulnerabilities than coders working without co-pilot. These outcomes demonstrate that poorly implemented AI strategies can stifle innovation and diminish the very human capacities they should enhance.

The goal is not to replace humans or blindly augment them based solely on immediate business gains but to enhance their abilities to foster long-term, sustainable empowerment and growth When implemented thoughtfully, AI can enhance human capacity rather than drain it, driving sustainable progress and innovation. This approach is essential for building resilient organizations and a thriving society.”

 

 

 

“Machine learning & artificial intelligence have been central to adtech from its inception—without it, large-scale bidding and optimisation simply wouldn’t exist. While AI represents a technical evolution, at its core, it is essentially advanced signal processing. What has changed is the sheer volume of data that businesses manage today, necessitating ultra-powerful optimisation algorithms and increasingly capable computing systems.

In 2023, the advertising industry was exploring the possible uses of AI, while in 2024, its first practical implementations emerged. In 2025, the focus for advertising players will shift to the widespread adoption of these tools. Specifically, AI will set new standards for advertising creatives, enabling advertisers to generate huge volumes of ads and content in record time. It will also revolutionise dynamic content optimisation, enabling more personalisation and the generation of bespoke creative variants on demand. AI will also play a larger role in media buying, with an increasing number of trading activities becoming automatable, allowing media traders to focus on more strategic activities than day-to-day operations.

Simultaneously, as identity signals phase out, embracing solutions designed with privacy at their core will become imperative. So in 2025, the key challenge for adtech players will be harnessing the power of AI while ensuring data confidentiality and adhering to privacy regulations such as the AI Act, Data Act, and GDPR.”

 

BS Teh, CSO at Seagate 

 

 

“The world is creating data at unprecedented volumes. In 2028, as many as 400 zettabytes will be generated, with a compound annual growth rate (CAGR) of 24%. According to research by the California Institute of Technology, one zettabyte equals as much information as there are grains of sand on the world’s beaches.

As AI matures and scales, the value of data will increase, leading us to store more data for longer. However, the storage install base is forecasted to have a 17% CAGR – a significantly slower pace than the growth in data generated. And it takes a whole year to build a hard drive.

This disparity in growth rates will disrupt the global storage supply and demand equilibrium. As organizations become less experimental and more strategic in the use of AI, they’ll need to build long-term capacity plans to ensure storage supply, and monetize investments in AI infrastructure.”

 

 

 

“As the world at large faces the reality of being wildly off-track with climate goals, digital advertising finds itself in the fortunate position of being able to decarbonise without compromise. Most emissions in ad campaigns are the result of inefficiencies and complexity. By using the right AI-powered technology to optimise media quality, players can boost campaign performance, save and reinvest previously wasted ad dollars and reduce carbon emissions.

In 2025, I expect to see more advertisers come to the realisation that sustainable advertising just makes good business sense. So, whether driven by cost concerns or climate conscience, one thing is certain: the future of digital advertising is going to be green. Those that don’t get on board soon will be left in the dust.” 

 

 

 

“2025 will be marked as the year where marketers learn how to make AI work for them instead of marketers working for AI.

By the end of 2025, AI will have revolutionised many product-level advertising strategies, making real-time, data-driven decisions the new industry standard. Most marketers across agencies and brands will leverage advanced AI tools to gain granular insights from product visuals and content, enabling dynamic ad adjustments that significantly enhance campaign performance and product visibility. 

The misconception that AI merely saves time will dissipate over the next year, replaced by the understanding that it drives superior results and strategic growth. AI will empower marketers to not only streamline tasks but also continually refine creative processes, rapidly identifying and expanding on successful elements while optimising underperforming ones. 

This shift will lead to a new era of proactive, agile advertising, where marketers can thrive by instantly adapting to market trends and consumer preferences. The blend of AI and automation will result in deeply personalised consumer experiences tailored to their behaviour and needs at unprecedented speeds. 

Overall, 2025 will mark the year where the synergy between AI and advertising sets a benchmark for efficiency, revenue growth, and user-centric marketing strategies. Marketers that harness this power will stand out and redefine how success is measured in digital advertising.”

 

 

 

“Creative data will finally have its moment in 2025. With thought leaders such as Forrester and Terry Kawaja of LUMA Partners — among others — already recognizing its importance, the industry is on the cusp of an explosive shift, with AI-driven creative tech emerging as an official category and essential asset for brands seeking competitive advantage. This validation of creative data as a critical field signifies a future where brands prioritize data-backed insights to fuel content that resonates more deeply and dynamically with audiences. 

To compete in the industry, creative data companies will have to offer more sophisticated tools that maximize engagement and optimize creative strategy — at every campaign stage. As creative tech solidifies its place in the ad landscape, companies leveraging AI-driven insights will be positioned for greater relevance, performance, and growth in the years to come.”

 

Monika Rai, Partner at EIP

 

 

“The use of Artificial Intelligence (AI) and technology to make sense of big datasets for achieving new, more precise and efficient healthcare solutions will continue to be a theme in 2025 and beyond. This trend is inevitable with the ever-increasing demand and burden on healthcare systems and aging populations in countries with most advanced and centralised healthcare systems.

For healthcare businesses, this represents an opportunity for increased efficiency, accuracy and innovation such as by designing better clinical trials and shortening the time it takes to develop medicines. However, the use of AI and Big Data in healthcare also means increasing responsibility and challenges in terms of a) access to, and responsible as well as contextual use of, medical data to come up with representative and reliable datasets in order to find the right solutions, and b) smaller markets for precise personalised treatments.

Aspects such as the need for sector-wide reliable datasets will also necessitate increasing collaboration in the highly competitive healthcare industry and at an inter-governmental level (a challenge at all times but particularly in these times of increasing geopolitical turmoil). All this while continuing to develop and provide traditional healthcare solutions still unavailable to a huge part of the global population.

Innovation in this sector will continue to require interdisciplinary skill sets and collaborations. Biologists and chemists need to work with experts in quantum computing and machine learning to continue to innovate and meet the healthcare needs of the human race. The 2024 Nobel Prize for chemistry going to such an interdisciplinary innovation for computation protein design and protein structure prediction using AI is just one example of how Big Data and AI is reshaping drug discovery and healthcare innovation.”

 

 

 

“Tackling data trust issues will be vital as brands and agencies seek more reliable answers to important performance questions. Without accurate insight, it’s impossible to identify how campaigns are moving the revenue needle, which tactics are driving the best engagement, and whether traffic is coming from real consumers or bots — all factors that are critical at a time when budgets are tight and usage of data-driven AI continues to grow. 

Next year is likely to bring an increased focus on boosting information quality rather than just quantity. Alongside an increase in strict data audits, with industry players looking closer at data integration and monitoring approaches to determine if outputs are both precise and comprehensive enough to guide good decisions and effective activity.”

 

 

 

“AI will continue its journey to revolutionise every aspect of campaigns, including customer experience, personalisation, data analytics, and advertising creative. For brands, this will mean more targeted, automated, and efficient advertising strategies that use real-time data and advanced AI algorithms for superior campaign optimisation. As a result, ads will be smarter, more personalised, and relevant, leading to improved ROI, deeper customer engagement, and a more seamless experience across channels. 

However, in 2025 marketers will also start to realise that not all AI is created equal and we should expect to see them becoming more selective about the tools that they incorporate. The game-changing potential of these tools has been discussed at length, but if advertisers are to truly unlock them and drive real efficiencies, they will need to be more considerate with the AI solutions they select, and when they deploy them.”

Paul MacKay, Regional VP for Cloud EMEA

 

 

“Companies will get real with AI next year or risk losing business. After the hyperbolic narrative around AI for the last 18 months, 2025 will be the year of realism, as customers look to make AI work for them. The use cases of AI are undoubtedly vast, but deployments will be ineffective without a clearly defined focus. Before rushing in, companies need to establish how AI can improve products and services, and whether this can be done safely. The companies that can walk the walk and prove their AI capabilities will rise to the top, but those that just talk the talk risk disappointing customers.”

 

 

 

“As AI transforms the advertising landscape, collaboration between CMOs and CIOs has become essential for success. Bringing CMOs and CIOs together on AI initiatives isn’t just a trend—it’s an imperative. Historically siloed, marketing and IT are now converging to create AI-driven solutions that are both customer-centric and technologically robust. From anticipating customer behaviour, optimising budgets, and forecasting sales, predictive AI is emerging as a cornerstone of marketing strategies. By enabling brands to move from reactive to proactive approaches, marketers are not only empowered to respond to trends but to actively shape them.”

Aligning business goals with technological investments ensures AI strategies are cohesive, actionable, and competitive.’ This partnership is key as enterprises increasingly rely on AI to make data-driven decisions, setting the stage for a future where marketing and IT jointly drive innovation and customer engagement.”

The winners in this new era will be those who view technology not as a series of tools but as an integrated fabric that weaves together data, insights, and action.”

 

 

 

“While AI may have been a buzzword in recent months, it is by no means a new technology or trend. However, what I would like to see in 2025 is a greater understanding of the benefits of AI, when used responsibly, and less mistrust around this tech. 

In the publishing industry specifically, there is a fear of generative AI taking away jobs and impacting the creative process. However, beyond GenAI there are countless applications that hugely benefit publishers, hidden behind the content production hype. 

The fact of the matter is that creating content and a brand remains rooted in personal connection, so is necessarily human led. What doesn’t need to be human led are Big Data tasks requiring extensive time for analysis, without the tools to do so. This is where I see AI going forward: supercharging the humans that manage publisher monetization to maximise yield.”

 

Dave Mosley, CEO at Seagate

 

 

“According to McKinsey’s Global Survey on AI, 72% of organizations worldwide have integrated AI technology into at least one business function. This trend is particularly evident in Europe, where 90% of professionals use generative AI tools for work or personal reasons. But AI can only be trusted if the data behind it is trustworthy.

Whether it’s capturing training checkpoints to saving source data sets, the more data we retain, the more we can validate A’s trustworthiness. That data therefore needs to be available long term, not just to comply with legal requirements but also to ensure inference is explainable.

Recent Deloitte research found users are still reluctant to trust AI, particularly in high-stakes, complex decisions. To counter this, companies applying trustworthy AI principles, including focusing on governance, regulatory compliance and education, will face a mass data surge, meaning scalable storage innovations are more critical to the AI ecosystem than ever.”

 

Mike Britton: CIO at Abnormal Security

 

 

The “gold rush” for generative AI  is over – now, it’s about finding value

“In 2025, organisations will continue to heavily adopt generative AI, but as we move past the initial hype phase, organisations will begin to realise that simply adopting it will not be enough. Now, they will need to undergo a dedicated effort around understanding how it can deliver results. 

To do this, businesses should start by identifying which parts of their workflows are highly manual, which can help them determine how AI can be overlaid to improve efficiency. Key to this will be determining what success looks like. Is it better efficiency? Reduced cost? Stronger user engagement? This will allow the business to measure ROI and more accurately determine AI’s potential.” 

Deepfakes will edge closer to the mainstream
“While the ‘Year of the Deepfake’ is probably still a couple of years away, in the year ahead, we’re going to steadily see more incidents of malicious deepfake activity. 

 

Mindy Lieberman, CIO at MongoDB

 

 

“As tech vendors added AI capabilities to their offerings in 2024, we have seen IT departments adopt and release these features. This has resulted in small to moderate business improvements, but not the seismic shift that might have been implied by the hype. Leaders are still trying to crack the code of how AI will bring either significant productivity, reduction in operational complexity, or improvements in employee experience. 

2025 will start to show more meaningful progress towards using AI to create business impact. First, AI will show value for employees to “shift left” and perform tasks of greater value and complexity, while digital AI agents will be able to answer the typical questions handled by front-line support teams. Bots will be ubiquitous to all organizations to answer inquiries ranging from Sales account summaries to HR benefits. Second, the introduction of reasoning capabilities will ultimately be a game changer, but each organization will need to assess how to utilize it. 2025 will mark the beginning, but not the end, of that journey.

2025 will also show the development of permission-aware RAG layers.  For AI to deliver the most value, it has to blend public data with private data found within the walls of the company. The private data has to respect any permissions and privileges of the person running the AI query which are typically set within the application or service hosting the source data.”

 

Ofir Bloch, Vice President of Strategic Positioning at WalkMe

 

 

“Whether moving away from legacy technology or adopting AI, most enterprises are in the middle of a huge digital shift. They need to resist the urge to base their whole strategy around the mantra that ‘the only constant is change’. As Jeff Bezos once advised, businesses should be equally focussed on what won’t change.

When it comes to technology change, the one constant is the end user, and focusing on them will be critical. If employees cannot use new AI capabilities, for example, due to poor user experience or a lack of defined use cases, the result will be a failed transformation and wasted investment. Next year, AI transformations will hinge on organisations’ ability to provide unified workflows and reduce the need for technical expertise to get the best out of AI and workplace IT. Those who overlook these important ‘human’ elements of AI transformations will be set to fail.”