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The impact of Generative AI on UK businesses: a deep dive

Generative AI (GenAI) has seen rapid adoption by individuals and organisations in the UK. Data from Deloitte’s 2024 Digital Consumer Trends shows that an estimated 7 million people in the UK have now used GenAI at work. While another recent study reports that globally only China has a higher proportion of organisations using GenAI than the UK.1

The sentiments of business leaders on GenAI have been captured frequently, with leaders often positive about the potential impact the nascent technology can have on their organisations. Data from the Deloitte’s 2024 Q2 State of AI in the Enterprise shows that 72 per cent of leaders surveyed report their organisation’s trust in all forms of AI has increased since GenAI emerged in late 2022, suggesting a positive outlook on its potential to reshape business operations.2

However, critical questions remain: what do key stakeholders and employees feel about GenAI? And, to what extent do they trust tasks previously completed by humans to be augmented by the technology? Unlocking the transformative potential of GenAI hinges not just on technical prowess, but on fostering a culture of trust.

Organisations that can harness GenAI in a way that builds and maintains the confidence and trust of both employees and external stakeholders, will be best positioned to fully capitalise on the technology. It is the trust of those stakeholders and employees which will determine how rapidly organisations can deploy the technology and the subsequent return on investment. For organisations to build trust in GenAI they must be able to demonstrate transparency in how they are using it. Failure to do so could lead to employee resistance, reputational damage, potential regulatory challenge, and missed opportunities for innovation and efficiency. 

From 28th June to 12th August 2024, Deloitte surveyed 30,252 consumers and employees in Belgium, France, Germany, Ireland, Italy, Netherlands, Poland, Spain, Sweden, Switzerland and the UK, including 44%  who have used GenAI, 22% who have not used GenAI but are aware of it and 34% who are not aware or are unsure of any GenAI tools. Those respondents who are not aware of any GenAI tools were not included in our analysis.

This report compares data collected from respondents in the UK to the mean of the total European sample, comprised of 11 countries. The UK sample is comprised of 2,948 consumers and employees. Of that sample, 39% have used GenAI, 24% who are aware of GenAI but not used it, and 37% are not aware of generative AI.

All respondents (consumers and employees) familiar with GenAI answered questions about the general use and potential impact of these tools. Employees responded to an additional sub-set of questions, specifically addressing their use of GenAI in the workplace.

The samples are nationally representative, and reported bases are weighted unless otherwise specified. Data has been weighted by age and working status interlocked with gender and by region, education (and social grade for the UK only).

Deloitte defines generative AI as a branch of artificial intelligence that can generate text, images, video and other assets in response to a query. These systems, often built using large language models (LLMs), can interact with humans.

Is the UK ready to trust Generative AI?

 

GenAI users in the UK are generally bullish about its potential, with 61 per cent of users agreeing that effective use of the technology by businesses and individuals in the UK will benefit society. The survey also shows that GenAI users in the UK are optimistic that GenAI can help businesses improve their products and services (71%) and create better work experiences for employees (70%). Those based in the UK who are aware of GenAI but do not use the technology are markedly less positive, less than half (46%) believe that GenAI can help businesses improve their products and services while only 36 per cent believe GenAI can create better work experiences for employees. This data aligns with the trends observed in the broader European data.

This difference in opinion between users and non-users might be attributed to the ‘repeated moments of joy’ experienced by GenAI users, where repeated use of GenAI tools create a fuller recognition of its benefits. This contrasts with non-users, whose lack of experiential familiarity likely contributes to a more limited understanding of GenAI’s potential advantages. In the absence of direct experience with GenAI tools, opinion is likely driven by second hand sources like the news and other forms of media.

While UK GenAI users share a similar level of optimism with their Continental European counterparts regarding the potential effects of GenAI, notable differences exist in the degree of trust placed in the technology. Respondents in the survey were presented with several hypothetical scenarios. Broadly, the scenarios can be split into two categories. The first set comprises personal use case scenarios – where the user is actively engaging with the generative AI themselves. The second set of scenarios are relevant to organisations using GenAI within their operations. The survey shows that consumers tend to be more trusting of the results produced by GenAI when the technology is in their own hands rather than in those of organisations.3 Consumers are also more trusting in scenarios that are deemed lower risk – analysis of the survey results show a negative correlation between the perceived criticality of the scenario and the level of trust exhibited by the participants.4

In both personal and organisational use scenarios, UK GenAI users place a higher degree of trust in generative AI than their European counterparts. For personal scenarios, UK users of GenAI who are more likely to trust its results for recommending insurance companies based on previous claims history (64% UK vs 57% Europe), recommending financial products tailored to your needs (64% UK vs 54% Europe), and providing advice that directs you to the right medical care (57% UK vs 50% Europe).

Similarly, UK respondents are slightly more likely to trust the results of generative AI than the overall Continental European sample, when it is in the hands of organisations. For example, they are more likely to trust its results for banks to assess their eligibility to obtain financial credit (56% UK vs 51% Europe), and insurance companies using GenAI to determine the cost of insurance policies by taking into account an individual’s financial risk profile (57% UK vs 54% Europe). Interestingly, there are no scenarios – for personal or organisational use - in which UK GenAI users are less trusting of GenAI than their European counterparts.

Greater trust in generative AI is mirrored by higher usage rates at work by UK respondents, who are more likely to use GenAI for creating presentations (26% UK vs 19% Europe), agenda planning (23% UK vs 17% Europe), transcribing meeting notes (23% UK vs 16% Europe) and creating video content (19% UK vs 13% Europe).

UK respondents who are aware and use GenAI report similar familiarity with ChatGPT as their European counterparts (88% UK vs 87% Europe), but report significantly greater awareness of other GenAI tools, such as Microsoft copilot (51% UK vs 35% Europe), Google Gemini (49% vs 38% Europe) and Snapchat ‘My AI’ (47% UK vs 31% Europe).

 

UK generative AI users balance trust with caution

 

What do higher levels of trust and usage mean for how UK consumers feel about the risks of GenAI? In short, and perhaps counterintuitively, UK users of GenAI have more pronounced concerns compared to European users. These concerns fall across a range of different domains. UK users are more likely have concerns relative to data and security. For example, UK GenAI users are more concerned about data privacy (68% UK vs 61% Europe) and security risks (67% UK vs 60% Europe), and intellectual property rights (60% UK vs 53% Europe) as compared to their European counterparts.

UK users also have greater concern over risks pertaining to accuracy – for example, the risk of users making decisions based on inaccurate results (67% UK vs 60% Europe) and making decisions based on biased results (63% UK vs 56% Europe). The greater perception of risk extends to the socioeconomic impact of GenAI, with users in the UK more likely to cite job redundancies (58% UK vs 52% Europe) and an increase in inequality (53% UK vs 46% Europe) as concerns. Although UK users demonstrate a higher level of concern regarding the risks associated with GenAI compared to their European counterparts, a distinct portion of users do not share these concerns, highlighting a disparity in risk perception.

The trust and concern paradox

 

This paradox of UK consumers simultaneously being more trusting and more concerned by GenAI than their Continental European counterparts can perhaps be explained by greater experience or maturity in using GenAI. The survey reveals that, of those who use GenAI in the UK, 27 per cent use GenAI at least once a day for work purposes and 18 per cent for personal purposes, as compared to 20 per cent and 12 per cent in Europe respectively. It is also reported that the UK has the greatest number of GenAI start-ups in Europe – double that of the second fastest adopter, Germany.5 As UK organisations and employees have adopted GenAI into their operations faster than the European average, those in the UK have likely had greater exposure to the technology. With exposure to GenAI in practical scenarios, users become more familiar with the benefits of the technology. However, while becoming aware of the benefits of the technology, frequent exposure to GenAI may also sensitive users to its flaws.

A second reason that people in the UK may be more aware of the potential risks of GenAI, is the education they receive in the workplace. In the UK, 58 per cent of employees using GenAI tools agree that their organisation is transparent about the impact of GenAI on their role, compared to 51 per cent of Europeans. Transparency is essential as it allows organisations to capitalise on the benefits of GenAI, while making their staff cognisant of the risks. While concern over the risks of generative may be expected to reduce trust levels, the data suggests not. 

The combination of simultaneously being more open to the opportunities of GenAI while also being more concerned about the dangers, may read as paradoxical, but is likely to be of benefit to our society and organisations. Being open to adopting GenAI and having trust in its benefits allows for the adoption of the technology which comes with many potential benefits – both for employees and customers. At the same time, concerns over inaccurate or biased results, data privacy and security risks are not unfounded, and maintaining a degree of criticality over the technology is healthy. Users of GenAI should ensure that their understanding of the risks associated with the technology is appropriately reflected in their practices when engaging with the technology.

Trusting the technology enough to use it, while maintaining awareness of the risks, can help to form an environment where the benefits are maximised and harms minimised. Organisations should strive to create an environment where employees can safely use GenAI. This includes putting the right controls and guardrails in place, ensuring proper training and providing access to sanctioned tools. Equally, organisations need to ensure they transparently communicate how they will use GenAI to build and maintain trust with stakeholders, to fully harness the potential of the technology.

As Generative AI (GenAI) becomes more embedded into everyday life, it is clear that how much individuals trust GenAI will be critical to successful adoption for businesses in all sectors.

Organisations are beginning to scale their GenAI pilots, and moving toward launching GenAI tools which interface directly with customers. This research shows that people are concerned about the risks associated with GenAI, which aligns with what I am seeing and hearing from my clients. Business leaders are increasingly focused on how they can not only deliver GenAI which is Trustworthy, but how they be transparent about how they have confidence that their GenAI is safe, secure, ethical and compliant. I expect the regulatory landscape, which is dynamic and evolving, to further enhance these transparency requirements over coming years.

I am beginning to have more conversations about how businesses can streamline AI governance processes to achieve AI which is Trustworthy, without stifling or slowing down innovation. I am very optimistic that this balance can be achieved and even believe sensible AI governance can enhance innovation. In my view getting this right is one of the keys to unlocking the value from GenAI, and I am excited and optimistic about what the future holds.

Gen AI. Let’s progress with confidence.

Lewis Keating
Deloitte TrustworthyAI Lead UK

Key recommendations

In several metrics, the UK exhibits higher adoption and trust in GenAI compared to the European average. Interestingly, UK GenAI users also report greater concern when it comes to the risks associated with GenAI. This confluence of trust and concern presents a valuable opportunity for UK organisations.

To leverage this, organisations should cultivate environments where employees can confidently explore GenAI's potential within safe boundaries. This includes establishing clear usage guidelines, providing comprehensive training on both capabilities and risks, and ensuring access to vetted and secure tools. By fostering informed experimentation, organisations can empower employees to unlock GenAI's benefits while mitigating potential downsides.

Organisations should proactively communicate their GenAI strategy to employees, detailing how the technology will be integrated into workflows and its potential impact on roles. This transparency should extend beyond simply stating intentions to include demystifying GenAI itself.

Explain what it is, its strengths and limitations, and provide practical guidance on crafting effective prompts to elicit optimal results. By fostering a clear understanding of both the opportunities and risks associated with GenAI, coupled with practical knowledge, employees can leverage the technology more safely and effectively.

Building trust is paramount when it comes to Generative AI (GenAI). While customers recognise the potential benefits of GenAI, they also harbour concerns about data privacy, security, and the accuracy of outputs. This apprehension is amplified when organisations utilise GenAI, particularly in high-risk applications, as customers tend to be more trusting of their own personal use of the technology.

To foster trust and encourage adoption, organisations must proactively address these concerns by implementing ethical safeguards. This includes communicating transparently with customers about how and when GenAI is being used - for example, being clear when a customer is talking to a chat bot rather than a real person; implementing robust data protection measures; and establishing mechanisms to ensure the accuracy of GenAI outputs. These outputs should be auditable and open to inspection, allowing for verification and accountability. By taking these proactive steps, organisations can demonstrate their commitment to ethical GenAI practices, effectively addressing customer concerns and fostering a trustworthy environment for innovation.

For a more comprehensive analysis of the steps that can be taken to develop ethical safeguards around AI, you can consult Deloitte’s Trustworthy AI™ framework.

Prepare your organization for the boundless potential of GenAI in the workplace and its impact on jobs. Consult our Human Capital team on how you can empower your workforce to harness the power of GenAI.

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