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For the last two years, the conversation around AI has largely been dominated by fear. Concerns surrounding mass layoffs, automation and worries that companies are quietly building workforces where humans become optional. Sometimes, even using people to train the AI that鈥檒l eventually replace them, without anyone even knowing.

And to some extent, those fears are very much understandable. Across industries, businesses are already reducing headcount, automating workflows and experimenting with AI agents capable of replacing parts of human labour. In some sectors, particularly customer service, administration and junior-level operational roles, the impact is already visible.

But a growing number of business leaders and AI experts are arguing that companies may be approaching AI entirely the wrong way.

Instead of replacing people with AI, what if businesses used AI to remove the repetitive, time-consuming and low-value parts of work, while allowing employees to focus on the areas where humans still outperform machines? What if AI didn鈥檛 mean getting rid of people but rather changing their jobs and extending their output?

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The Shift From Replacement To Reinvention

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The idea behind augmentation is relatively simple. AI handles the administrative burden, the repetitive processing and the 鈥済runt work鈥�, while people focus on creativity, judgement, strategy, relationships and decision-making. This听approach is already taking shape across industries.

At inDrive, Dr. Roman Atachiants says over 80% of the workforce already uses AI daily, but not to eliminate jobs. Instead, AI is being used to support teams with time-consuming tasks while employees focus on more complex work requiring empathy and human judgement.

The same pattern is emerging in sectors like finance, law, cybersecurity and marketing. Paul Lodder from Dext argues that AI is transforming accounting by automating manual data entry and administrative processes, allowing accountants to move into more strategic advisory roles. Instead of spending hours processing spreadsheets, they can now focus on helping SMEs navigate uncertainty, cash flow planning and business strategy.

For many experts, this is where the real long-term value of AI sits 鈥� not in laying off staff and having advanced technology do the work they used to do, but in going step beyond that and freeing up humans to do so much more than anyone ever had time or capacity for. According to Cassandra MacDonald of BPP, organisations focused purely on replacing jobs are 鈥渕issing the bigger opportunity鈥�. While AI can remove repetitive tasks, she argues that skills like 鈥渃ritical thinking, empathy, ethical judgment and collaboration鈥� are becoming even more valuable as AI adoption grows.

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A Potential Productivity Boom We Should Be Focusing On

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The side of the conversation that often gets overlooked is potentially the most important.听Historically, major technological shifts haven鈥檛 just reduced labour. They鈥檝e expanded what businesses are capable of doing, and听AI may do the same.

If teams can complete administrative work faster, reduce bottlenecks and automate repetitive tasks, businesses suddenly gain something valuable: capacity. That means more time, more output and more room for innovation.

Arturo Buzzalino at Epico ddescribes this as a potential 鈥渞enaissance of innovation鈥�, arguing that AI could create massive efficiency gains while freeing people to focus on improving systems, solving problems and developing new ideas.

Indeed, Matt Sherwen of Sherwen Studios makes a similar point, saying the real opportunity is not simply maintaining the same output with fewer people, but expanding what businesses can actually deliver.

That may ultimately become the biggest competitive divide of the AI era 鈥� companies that use AI purely to reduce costs and those that听will use it to extend capabilities.

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Human Skills May Become More, Not Less, Valuable

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Ironically, the rise of AI may also increase demand for distinctly human skills.听As AI-generated content, analysis and recommendations become easier to produce, businesses may place even greater value on people capable of interpreting nuance, building trust and exercising judgement.

That鈥檚 especially true in industries built around relationships.听Kate Buckley from Twenty7tec argues that in financial advice, trust remains central to every client interaction. AI can process data and reduce administrative work, but it cannot replicate reassurance, emotional understanding or contextual decision-making.

Similarly, Heather Delaney of Gallium Ventures warns that relying too heavily on AI risks creating an industry flooded with 鈥淎I slop鈥� and weak creative work.

Indeed, the concern isn鈥檛 necessarily that AI will replace expertise. Rather, it鈥檚 that听businesses chasing short-term efficiency gains may accidentally weaken the very human capabilities that make organisations valuable in the first place.

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Striking the Right Balance

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That doesn鈥檛 mean augmentation is guaranteed 鈥� not in the slightest. Many companies are still approaching AI primarily as a cost-cutting exercise, particularly under economic pressure. And there are legitimate concerns about what happens to junior roles when AI absorbs entry-level administrative work.

Several experts also warn that businesses risk over-relying on AI systems that still hallucinate, reinforce bias and lack contextual understanding.

Brett Candon from Dropzone AI argues that AI works best in 鈥渉uman-in-the-loop workflows鈥�, where AI accelerates investigation and surfaces information, but humans remain responsible for judgement and accountability.

That balance may become increasingly important. Because while AI can generate answers at extraordinary speed, it still cannot fully replicate experience, intuition or human reasoning.

And despite all the predictions about replacement, those may ultimately become the most valuable skills in the workforce.

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Experts:

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• Cassandra MacDonald: Dean of School of Technology, BPP
• Brett Candon: VP International at Dropzone AI
• Laura Moss: Managing Partner at Parisi
• Dr. Roman Atachiants: Data and AI Architect at inDrive
• Kate Buckley: Chief Revenue Officer, Twenty7tec
• Pat Murphy: Founder and CEO of MurphyCobb Associates
• Heather Delaney: Founder and MD of Gallium Ventures
• Peter Pugh Jones: EMEA Field CDO at Confluent
• Arturo Buzzalino: Chief Innovation Officer at Epicor
• Kevin Gaskell: Chair of ITS and former MD for Porsche, BMW and Lamborghini
• Matt Sherwen: Managing Director at Sherwen Studios

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Cassandra MacDonald, Dean of School of Technology, BPP

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鈥淭his view is not a pipe dream. Organisations that focus solely on AI replacing jobs are missing the bigger opportunity. While automation can and should remove certain tasks, particularly repetitive or data鈥慼eavy ones, it cannot replace core human skills such as critical thinking, empathy, ethical judgment and collaboration. In fact, the paradox is that these skills are becoming more, not less, important as AI scales. While demand for some easily replaceable skills has declined, demand for others has more than doubled, suggesting AI is reshaping roles rather than eliminating them altogether.

鈥淭here is a genuine risk that organisations treating AI purely as a shortcut to reduce headcount will fall behind. The real value lies in redesigning roles so humans and AI complement each other, enabling higher鈥憅uality outcomes, faster adaptation and more meaningful work. That combination creates a win-win situation for employees, customers and the organisation alike.鈥�

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Brett Candon, VP International at Dropzone AI

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The fear that AI will replace people is understandable. We鈥檝e already seen organisations use automation as a blunt instrument to cut costs. But treating AI as a substitute for human judgement is where things go wrong, particularly in high鈥憇takes areas like security.

There is a global shortage of experienced cyber professionals at the same time as alert volumes continue to grow. That combination has exposed a problem automation alone was never able to solve. AI is now addressing the scale issue by taking on repetitive, high鈥憊olume work, allowing teams to focus on what only humans can do such as applying context, setting priorities, challenging assumptions and making accountable decisions.

This isn鈥檛 a pipe dream. We鈥檙e seeing organisations benefit from human鈥慽n鈥憈he鈥憀oop workflows where AI surfaces signals, drafts recommendations and accelerates investigation, while people validate, steer and own the response. Instead of burning out from chasing needles in haystacks or missing critical signals, teams gain the time and clarity they need to think clearly and act decisively. If leaders use AI simply to maintain output with fewer people, they鈥檒l save in the short term but pay later in risk. Augmentation allows companies to scale impact while keeping the responsibility with humans.

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Laura Moss, Managing Partner at Parisi

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鈥淎I can absolutely speed things up and automate parts of what we do 鈥� and that鈥檚 genuinely useful. In what we do for example, it can stitch together data from multiple sources and pull-out insights that would take hours to compile manually. But someone still has to interpret that, add the 鈥楽o What鈥� 鈥� what does this mean and what do we do about it. That鈥檚 where the expertise comes in, and that鈥檚 what clients are actually paying for.

鈥淢any companies are still figuring out the right approach. The focus often leans toward cost-cutting, rather than thinking about how their people could use the extra time to do more valuable work.

鈥淭he risk of going too far too fast is also underestimated. You lose the middle layer 鈥� the experienced people who turn information into advice and who junior staff learn from every day. Clients still buy from people. They want the nuance, the expertise and human intelligence. AI can support all of that, but it can鈥檛 replace it.鈥�

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Dr. Roman Atachiants, Data and AI Architect at inDrive听

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鈥淎t inDrive, we specifically focus on augmenting our workforce with AI. Over 80 percent of our workforce uses AI daily to help with time-consuming tasks rather than to eliminate roles. For example, 40% of our first-line customer support is now fully automated. We redirect those agents to handle complicated cases where human judgment and empathy truly matter instead of reducing our headcount.

鈥淎nother example is that our legal team recently used agentic AI to automate an internal process that previously required 16 lawyers working for three quarters.The AI reduced the time spent on this task by 85 percent, allowing our team to focus entirely on high-value legal analysis.

鈥淭he nuance here is setting realistic expectations about these efficiency gains. If a task took ten hours before, expect it to take a few hours with AI rather than ten minutes. There is no magic. This realistic reduction still provides immense benefits while maintaining the high standards that only human professionals can guarantee.鈥�

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Kate Buckley, Chief Revenue Officer, Twenty7tec

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鈥淭he idea that AI should augment rather than replace people is not just plausible, it is critical, particularly in the mortgage and financial advice industry where trust sits at the centre of every interaction. Buying a home or making financial decisions is deeply personal. Clients are not just looking for information, they are looking for reassurance, context and someone who understands their situation. An adviser can hear hesitation in a voice, pick up on nuance in a conversation and adapt their approach in a way that technology simply cannot replicate. AI has a clear role to play in improving efficiency. It can process data faster, reduce administrative workload and surface insights that support better decision-making. But it cannot replace the human connection that underpins good advice. The firms that will succeed are those that use AI to give their people more time to focus on clients, not less. This is not about replacing expertise, it is about strengthening it, combining technology with human understanding to deliver better outcomes and build lasting trust.鈥�

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Pat Murphy, Founder and CEO of MurphyCobb Associates

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鈥淩esearch summaries, reporting, presentation building and structured production work like early copy development and concept support are exactly the kinds of tasks AI is absorbing first. The opportunity is that marketers can spend less time producing decks and more time on judgement, creativity, strategy and understanding human behaviour. That鈥檚 where competitive advantage will increasingly sit.

鈥淲ithin the next five years most marketing teams are likely to look structurally different, with fewer production-heavy junior roles and more AI-augmented strategic roles. The organisations that get this evolution right will be the ones that treat AI as a capability multiplier, not just a cost-saving tool.

鈥淢ake AI part of the workflow, not an experiment 鈥� AI really can impact speed, cost, and scale simultaneously. However, unmanaged, it creates chaos. For me the difference is governance. In recent client work, AI has been most powerful not in replacing creativity, but in accelerating iteration 鈥� faster concepting, faster localisation, faster adaptation.鈥�

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Heather Delaney, Founder and MD of Gallium Ventures

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鈥淭he most creative and impactful campaigns come from human hearts and minds, so we know that in PR & Marketing, AI won鈥檛 replace our human approach to creating campaigns and communications strategies; however, it can support us.

鈥淭he way to use AI to its fullest capability is to master the art of collaboration. LLMs haven鈥檛 yet reached the point of being completely trustworthy on their own, so the value of human input should not be disregarded. Whilst undeniably useful, AI is not, and should not, be the end-all, be-all. Making it such will create an unstable industry, where clients will receive bad work, freelancers will receive bad work, and before we know it, the foundational skills of PR and marketing will be long forgotten.

鈥淭raditionally, industry juniors are tasked with the most administrative responsibilities of monitoring and reporting. The delegation of these tasks to AI should, excitingly, mean that juniors can get involved and contribute in a more impactful way, earlier on in their career. This has the power to change the trajectory of the industry鈥檚 career ladder as we know it, as long as the introduction of AI doesn鈥檛 reduce the number of entry-level jobs available.鈥�

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Peter Pugh Jones, EMEA Field CDO at Confluent听

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鈥淭he human brain is incredible; a creation that we cannot simply replicate in data or AI.

鈥淭his means that while some repetitive roles are starting to be automated in sectors like finance and law, recreating an experienced, well-rounded business leader is a very different challenge. It鈥檚 also true that, even in less senior roles, the human touch is still a must 鈥� in customer service, for example.

鈥淎s such, it remains best practice for decision-makers to ground their choices in the context and evidence of their data, rather than offload the thinking behind them to an AI-driven system. Organisations should take a a hybrid approach in which AI handles the routine and allows humans to tackle the more intricate decisions 鈥� relying on technology to empower decision making, rather than absorb it.

鈥淭he real concern here is timely access to the data that grounds human expertise. Confluent鈥檚 Quick Thinking 2026 report has found that six in 10 business leaders find that data is too difficult to access at their level; a further 62% say that there simply isn鈥檛 the time to analyse data before they need to make their decision.

鈥淎I doesn鈥檛 need to be able to apply specialist knowledge to every facet of the business. But it does need to be able to empower and enable the decision-makers that possess that expertise.鈥�

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Arturo Buzzalino, Chief Innovation Officer at Epicor听

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鈥淭here鈥檚 obviously some anxiety among the workforce about the potential for AI to displace jobs, especially since it鈥檚 proving to be very effective in certain specific use cases.

鈥淚鈥檝e been working in AI for a long time, and I鈥檝e built systems in the past that were even designed to replace certain types of roles鈥攍ike in retail and other industries. But one of the biggest lessons I鈥檝e learned is this: you can鈥檛 succeed without the human element, especially when it comes to the strategic side of things.

鈥淎I can accelerate the mundane, repetitive tasks, the kinds of work that humans aren鈥檛 particularly good at or don鈥檛 enjoy. But what we are good at is creativity, strategic thinking, and approaching problems from new angles. And those are exactly the qualities that become more valuable as AI takes on more of the grunt work.

鈥淪o actually, I believe we鈥檙e entering a kind of renaissance of innovation. As AI tools remove more of the tasks that slow us down鈥攍ike combing through spreadsheets or routine reporting鈥攑eople will have more freedom to focus on what really matters: improving systems, designing better processes, asking better questions. It shifts the focus from 鈥渇inishing the task鈥� to 鈥渉ow do we make this better?鈥�

鈥淚 often say we鈥檒l see a 10X gain in efficiency thanks to AI. But even more exciting, I think that will translate into a 100X gain in innovation, because it frees up human talent to do what it does best鈥攏ot replace it, but amplify it.鈥�

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Kevin Gaskell,听Chair of ITS and former MD for Porsche, BMW and Lamborghini

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鈥淎I is not some mystical force destined to replace human endeavour; it is simply the latest in a long line of powerful tools. Like every tool before it, its value lies in how intelligently we choose to use it. The real prize is not wholesale automation, but the disciplined removal of routine low-value tasks that drain time and energy from capable people.

鈥淲hen you free team members from that burden, you unlock something far more valuable: space to think, to create, to connect. That is where organisations differentiate themselves through insight, judgement, and genuinely personal service. Get the foundations right with robust, automated core processes, and you create the platform upon which your people can excel, elevating performance and delivering experiences that are not just efficient, but distinctive and memorable.鈥�

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Ella Broadbent, Senior PR Consultant and AI specialist at Petal & Co

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鈥淎s AI becomes more capable, it鈥檚 changing the nature of work rather than replacing it outright. The expectation is that AI will take on repetitive and time-consuming tasks, allowing people to focus on higher-value work. This raises important questions about entry-level roles, where much of this foundational work has traditionally been concentrated. However, similar concerns have emerged in previous shifts, such as the introduction of Google Search, which is now fully embedded in everyday work.

鈥淭he more significant shift is in skills. AI literacy is becoming essential, particularly in how problems are framed and how outputs are interpreted. Poorly structured prompts or unclear objectives consistently lead to weak results. As answers become easier to generate, the ability to ask better questions becomes more important than the answers themselves.

鈥淭here鈥檚 also a growing risk of confirmation bias. If AI is used only to validate existing thinking, it can reinforce assumptions rather than challenge them. This makes critical thinking even more important. AI should always be treated as a tool, not a source of truth.

鈥淎t the same time, generative AI tends to produce outputs that are 鈥済ood enough鈥�. While useful in many contexts, this creates a risk that organisations accept average quality and 鈥楢I slop鈥� without sufficient scrutiny. Human judgement is essential to recognise when higher standards are required and to refine outputs accordingly.

鈥淭his is where distinctly human capabilities become more valuable. Intuition, empathy, context and meaning remain difficult for AI to interpret. As a result, creativity, ethical reasoning and imagination are becoming more important in decision-making roles. The balance is shifting away from purely technical execution towards judgement-based work in complex environments.鈥�

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Matt Sherwen, Managing Director at Sherwen Studios

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鈥淯sing AI to augment teams rather than replace them should be critical to any AI strategy. When used correctly, AI can streamline processes, eliminate bottlenecks, and speed up outputs. We鈥檝e moved beyond using AI to maintain the same level of output more quickly. The real opportunity is to expand what can be delivered through more intuitive ways of working, improved services or entirely new business solutions.

鈥淗owever, too many organisations remain focused on using AI as a cost-reduction mechanism rather than creating additional value. That鈥檚 where opportunities are being lost. AI is often positioned as a customer-facing tool, but its greatest impact lies in the internal functions. When teams work more cohesively, they can improve collaboration and make better use of shared data across departments.

鈥淎I outputs are only valuable if they are accurate, and a single error can quickly undermine confidence or cause significant damage. Human oversight remains critical at every AI touchpoint because while AI can rapidly process data, it cannot replicate the context, nuance and experience people bring. It can鈥檛 react to changing market conditions, because it only works within the confines of the data it鈥檚 trained on.

鈥淭he businesses that succeed will recognise that AI must be combined with human experience to deliver long-term benefits.鈥�

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