{"id":9285,"date":"2025-01-13T08:33:29","date_gmt":"2025-01-13T08:33:29","guid":{"rendered":"https:\/\/weareoakland.com\/?post_type=guides&#038;p=9285"},"modified":"2026-05-14T14:31:47","modified_gmt":"2026-05-14T14:31:47","slug":"navigating-the-emerging-generative-ai-gap","status":"publish","type":"guides","link":"https:\/\/weareoakland.com\/guides\/navigating-the-emerging-generative-ai-gap\/","title":{"rendered":"Plugged In or Left Out? Navigating the Emerging Generative AI Gap"},"content":{"rendered":"<section\n    id=\"A Pragmatic View of the Generative AI Gold Rush\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>A Pragmatic View of the Generative AI Gold Rush<\/h2>\n<\/section>\n\n\n<p><a href=\"https:\/\/weareoakland.com\/services\/artificial-intelligence\/\"><span>Generative AI<\/span><\/a> is the buzzword of the moment. Attend any industry conference or skim through the latest Gartner hype cycle, and you\u2019d be forgiven for thinking we\u2019re on the cusp of a generative AI utopia. Everyone\u2019s doing it. Everyone\u2019s winning. Everyone\u2019s transforming their businesses at warp speed.<\/p>\n\n\n\n<p>Except, well&#8230; they\u2019re not.<\/p>\n\n\n\n<p>Here at <a href=\"https:\/\/weareoakland.com\/\"><span>Oakland<\/span><\/a>, we\u2019ve had some revealing conversations while compiling this report on the readiness of major organisations to implement generative AI. Spoiler alert: the reality isn\u2019t quite keeping up with the hype.<\/p>\n\n\n\n<p>Generative AI could be game-changing. But as this report reveals, getting there will require focus, courage, and a clear view of both the opportunities. <\/p>\n\n\n\n<p>Read our full guide on generative AI below.<\/p>\n\n\n\n<style>.responsive-iframe {max-width: 100% width: 100%; height:80vh;} .responsive-iframe iframe {width: 100%; height: 100%;}<\/style><div class=\"responsive-iframe\"><iframe src=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/Oakland_AI-Report_2025.pdf\" title=\"Oakland AI Report\"><\/iframe><\/div>\n\n\n<section\n    id=\"Do Leaders Trust Generative AI Technology\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Do Leaders Trust Generative AI Technology?<\/h2>\n<\/section>\n\n\n<p>Generative AI has been billed as a \u2018digital workforce that doesn\u2019t need vacations or other benefits\u2019 (Gartner, 2024). A new team member who can do things with or without us. Able to upskill your existing workforce and quite frankly do things that no human would have the time to do.<\/p>\n\n\n\n<p>This all sounds like a productivity gold rush, but do business leaders, by now accustomed to the reality of generative AI, trust it to deliver these promises?<\/p>\n\n\n\n<p>When asked to rate their overall trust in generative <a href=\"https:\/\/weareoakland.com\/services\/ai-custom-solutions\/\"><span>AI technology<\/span><\/a>, almost 63% of leaders had either a moderate or high level of trust in the technology. This is largely down to a combination of technological advancements, use cases, and shifting perspectives about generative AI capabilities.<\/p>\n\n\n\n<p>However, this wasn\u2019t the case for all, and a significant proportion, 37%, still have a way to go before they can completely trust the technology.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote remove-margin-top is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8221;Generative AI is transforming the way we work, with data flowing from every direction\u2014spanning business apps to previously inaccessible unstructured data. The key challenge is determining who controls and accesses this wealth of information, driving a boom in generative AI governance.&#8221; &#8211; <em>Oakland Generative AI Report 2024<\/em><\/p>\n<\/blockquote>\n\n\n<section\n    id=\"Are Leaders Ready To Adopt Generative AI\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Are Leaders Ready To Adopt Generative AI?<\/h2>\n<\/section>\n\n\n<p>Overcoming barriers to adoption can be one of the toughest challenges when selecting and implementing new technologies within an organisation. Readiness is one of the most crucial to consider: an effective and beneficial transformation requires firm foundations or projects can easily overrun or underdeliver. After years of digital and data transformation, companies are questioning the return on their technology investments. Now, it\u2019s up to generative <a href=\"https:\/\/weareoakland.com\/services\/ai-consulting\/\"><span>AI<\/span><\/a> to prove its value.<\/p>\n\n\n\n<p>To work out how ready decision-makers feel, we asked them to assess their organisation\u2019s readiness for generative AI adoption. On the whole, leaders took a pragmatic view of generative AI technologies. 5% reported being very prepared with a clear strategy and resources to hand (not surprisingly given the number of organisations without a data strategy) while 29% were somewhat ready, exploring options and building capabilities.<\/p>\n\n\n\n<p>Just over 31% were in the research phase and were looking for information and guidance, which highlights the need for trusted advisors who put the customer before the tech vendors.<br>Almost a third (30%) said they were simply not interested in generative AI adoption at the moment, which is interesting given the amount of noise in the market.<\/p>\n\n\n\n<p><\/p>\n\n\n<section\n    id=\"Is Generative AI Taking Over\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Is Generative AI Taking Over?<\/h2>\n<\/section>\n\n\n<p>Since the generative AI boom kicked into overdrive half a decade ago, many organisations have been experimenting. However, since the much more recent introduction of generative AI capabilities; are these same organisations successfully navigating the new challenges of implementing generative AI, or are obstacles slowing down adoption?<\/p>\n\n\n\n<p>Asking respondents at what stage their organisation was on its \u201cgenerative AI\u201d journey, over half recognise they are already on the generative AI journey, whether that be utilising existing tools like ChatGPT and Co-Pilot (22%), exploring options (26%) or building custom solutions (6%). But, with this market changing so quickly, this is likely to change by the time you\u2019ve finished reading this report!<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>With just over a quarter of businesses still exploring generative AI options, the complexity and choice between vendors, capabilities, and pricing appear to be barriers to confident adoption.<br>Many are dipping a toe in the water by using entry-level generative AI tools, such as ChatGPT or Microsoft\u2019s Copilot, with few committing to custom generative AI solutions that deliver more transformative change. This is not unusual in our experience: larger, tech-centric businesses tend to explore custom solutions, while SMEs and non-tech businesses are more likely to wait and see what works for others.<\/p>\n\n\n\n<p class=\"remove-margin-top\">Find what Oakland thinks about Gen AI, when you download the full report.<\/p>\n<\/blockquote>\n\n\n<section\n    id=\"How Are Businesses Investing In Generative AI\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>How Are Businesses Investing In Generative AI?<\/h2>\n<\/section>\n\n\n<p>Whilst the newer generative AI can drive efficiencies and create opportunities to improve revenue, these will always require investment to make sure they have an impact. With the technology no longer in its infancy, are businesses investing in it? And if so, how are decision-makers carving out funds for initiatives?<\/p>\n\n\n<div class=\"wp-block-image remove-margin-top remove-margin-bottom\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"712\" height=\"413\" src=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3.png\" alt=\"\" class=\"wp-image-9289\" srcset=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3.png 712w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-300x174.png 300w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-595x345.png 595w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-103x60.png 103w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-690x400.png 690w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-579x336.png 579w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-138x80.png 138w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-50x29.png 50w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-672x390.png 672w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-100x58.png 100w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-3-373x216.png 373w\" sizes=\"auto, (max-width: 712px) 100vw, 712px\" \/><\/figure>\n<\/div>\n\n\n<p>When these questions were put to our respondents, almost two-thirds (63%) had not yet allocated any budget for generative AI development in their organisations.<\/p>\n\n\n\n<p>Of those that had assigned a budget, nearly a fifth (17%) were using existing technology budgets, 5% had a dedicated generative AI budget, and another 5% were reallocating budget from elsewhere. The overwhelming majority had not allocated any specific generative AI funding which goes back to our earlier point around data leaders being asked to deliver more with existing budgets.<\/p>\n\n\n<section\n    id=\"How Well Funded Is Generative AI\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>How Well Funded Is Generative AI?<\/h2>\n<\/section>\n\n\n<p>The hype surrounding generative AI has been at a fever pitch for some time now, but has the positive press and excitable generative AI evangelism on social media translated into increased investment? Have the benefits of generative AI earned the technology a right to a greater slice of the pie?<\/p>\n\n\n\n<p>When asked, half of respondents had no specific budget allocated for generative AI.<\/p>\n\n\n\n<p>A very small proportion of organisations (2%) had a significant generative AI budget (more than 20%), which aligns with what we are seeing in the current market.<\/p>\n\n\n\n<p><\/p>\n\n\n<section\n    id=\"How Are Businesses Developing Generative AI Solutions\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>How Are Businesses Developing Generative AI Solutions?<\/h2>\n<\/section>\n\n\n<p>For organisations looking to get started and begin to productionise generative AI solutions there are several ways forward. Developing in-house capabilities with existing teams, hiring in additional generative AI expertise, or using external consultancy services are all possibilities, each suiting different organisations and use cases. We asked organisations which they were pursuing.<\/p>\n\n\n\n<p>Of the 54% of respondents in the process of developing generative AI, 24% had tasked an existing internal team with the project. 10% were using external consultancy services. And another 6% had hired generative AI specialists to guide development.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote remove-margin-top is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Rather than creating separate generative AI departments, most organisations are embedding generative AI capabilities within their existing data teams. This aligns with our belief that generative AI is most effective as part of a broader data toolkit.<\/p>\n\n\n\n<p>However, a significant challenge arises from the shortage of generative AI experts, particularly for organisations looking to implement generative AI solutions. The rapid evolution of this technology has outpaced the supply of skilled professionals, creating a highly competitive market for talent.<\/p>\n<\/blockquote>\n\n\n<section\n    id=\"How Transformative Will Generative AI Be Over The Next 3 Years\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>How Transformative Will Generative AI Be Over The Next 3 Years?<\/h2>\n<\/section>\n\n\n<p>Generative AI technologies and capabilities are developing at a breathtaking pace. What was only recently possible with generative AI only a few years ago has today transformed entire industries.<\/p>\n\n\n\n<p class=\"remove-margin-top remove-margin-bottom\">Do businesses intend to focus on generative AI over the near term to stay ahead of the curve? If so, what do they think this change will look like?<\/p>\n\n\n<div class=\"wp-block-image remove-margin-top remove-margin-bottom\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"722\" height=\"427\" src=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4.png\" alt=\"\" class=\"wp-image-9290\" srcset=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4.png 722w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-300x177.png 300w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-720x427.png 720w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-595x352.png 595w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-101x60.png 101w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-676x400.png 676w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-568x336.png 568w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-135x80.png 135w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-49x29.png 49w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-672x397.png 672w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-100x59.png 100w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-4-373x221.png 373w\" sizes=\"auto, (max-width: 722px) 100vw, 722px\" \/><\/figure>\n<\/div>\n\n\n<p>When polled, only a fifth (21%) were planning to use generative AI to either significantly or transformatively change their business, contradicting many online articles and publications intimating industry scale change is upon us.<\/p>\n\n\n\n<p>The majority (37%) of respondents today said they were planning to implement minimal change using off-the-shelf tools like ChatGPT and Microsoft Copilot.<\/p>\n\n\n\n<p><\/p>\n\n\n<section\n    id=\"What Are Businesses Top Generative AI Use Cases\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>What Are Businesses Top Generative AI Use Cases?<\/h2>\n<\/section>\n\n\n<p>Finding the right use cases for generative AI is critical to ensuring success. Yet, while all businesses are unique, generative AI uses typically fall into a limited range of categories.<br>When asked which was their organisation\u2019s primary use case, <a href=\"https:\/\/weareoakland.com\/blog\/how-improve-knowledge-management-strategy-gen-ai\/\"><span>knowledge management<\/span><\/a> was by far the most popular, chosen by 36% of respondents.<\/p>\n\n\n\n<p>Operations and process optimisation (31%) was the second-most popular use case, followed by marketing and sales (30%), customer service (28%), and research and development (24%). 14% reported another use case.<\/p>\n\n\n\n<p>Read our blog, on <a href=\"https:\/\/weareoakland.com\/blog\/generative-ai-use-cases\/\"><span>how to find generative AI use cases for enterprise. <\/span><\/a><\/p>\n\n\n\n<blockquote class=\"wp-block-quote remove-margin-top is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Our research confirms the importance of clear use cases and capabilities in generative AI deployment, highlighting the need for organisations to enlist expertise that guides them towards specific, value-driven applications. <\/p>\n\n\n\n<p>For once, companies with extensive historical unstructured data are well-positioned to leverage generative AI in knowledge management. Legacy data, previously viewed as an impediment, can now serve as a key differentiator for organisations in<br>traditionally non-digital industries.<\/p>\n<\/blockquote>\n\n\n<section\n    id=\"What Are The Greatest Barriers To Generative AI Adoption\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>What Are The Greatest Barriers To Generative AI Adoption?<\/h2>\n<\/section>\n\n\n<p>As seen throughout the survey, many businesses have had trouble adopting generative AI or remain unconvinced. To understand what has been stopping them, we asked leaders what barriers they felt were holding them back the most.<\/p>\n\n\n\n<p>A majority (41%) felt that a lack of expertise and skills was the main barrier to adopting generative AI in their organisation. Just over a third (35%) had data and privacy concerns, while 31% were concerned with a lack of proven ROI.<\/p>\n\n\n\n<p>A quarter (25%) had encountered resistance to change within their organisations, while 22% saw high implementation costs as the greatest hurdle.<\/p>\n\n\n\n<p><\/p>\n\n\n<section\n    id=\"Our Key Steps To Getting Started With Generative AI\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Our Key Steps To Getting Started With Generative AI<\/h2>\n<\/section>\n\n\n<p>Many organisations find it challenging to start and implement generative AI initiatives. In our experience, 5 initial steps are crucial to create a strong foundation for responsibly launching and scaling generative AI in a way that is both strategic and impactful.<\/p>\n\n\n<div class=\"wp-block-image remove-margin-top remove-margin-bottom\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"86\" src=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-1024x86.png\" alt=\"\" class=\"wp-image-9287\" srcset=\"https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-1024x86.png 1024w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-300x25.png 300w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-768x65.png 768w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-595x50.png 595w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-714x60.png 714w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-952x80.png 952w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-345x29.png 345w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-950x80.png 950w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-672x56.png 672w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-100x8.png 100w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1-373x31.png 373w, https:\/\/weareoakland.com\/wp-content\/uploads\/2025\/01\/image-1.png 1357w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/div>\n\n\n<p>Find out more in our full Generative AI Guide above. <\/p>\n\n\n<section\n    id=\"Unlocking Value In Your Knowledge Management\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Unlocking Value In Your Knowledge Management<\/h2>\n<\/section>\n\n\n<p>Right now, knowledge management is a key focus area for generative AI implementation. Within the topic, there are three key problem areas generative AI applications are particularly effective at solving:<\/p>\n\n\n\n<ol class=\"wp-block-list remove-margin-top remove-margin-bottom\">\n<li>Unlocking your document mountain<\/li>\n\n\n\n<li>Organising the information tsunami<\/li>\n\n\n\n<li>Expert shortage<\/li>\n<\/ol>\n\n\n\n<p>Find out more in our blog, <a href=\"https:\/\/weareoakland.com\/blog\/what-is-knowledge-management\/\"><span>What is Knowledge Management?<\/span><\/a><\/p>\n\n\n<section\n    id=\"Why Choose Oakland\"\n    class=\"section-title\"\n    style=\"text-align: left;\">\n    <h2 class='h3'>Why Choose Oakland?<\/h2>\n<\/section>\n\n\n<p>Oakland is a consultancy focused exclusively on liberating and activating data. We help transform and grow businesses in sectors from <a href=\"https:\/\/weareoakland.com\/sectors\/water-utilities\/\"><span>Water Utilities<\/span><\/a> and Rail and Transport to Media and Telecoms by giving them access to the latest skills and technology, leaving them free to grow with the confidence that their data is continuously working for them.<\/p>\n\n\n\n<p>The speed of technology presents a dizzying array of choices and Oakland helps some of the UK\u2019s largest companies navigate these in an informed and measured way. Importantly, we draw on our teams of strategy, governance, engineering, AI and analytics experts.<\/p>\n\n\n\n<p>Engineers at heart, we are hands-on partners right through the data lifecycle, achieving powerful results for our clients and giving them the freedom to focus on their business goal.<\/p>\n\n\n\n<ul class=\"wp-block-list remove-margin-top\">\n<li><a href=\"https:\/\/weareoakland.com\/services\/strategy\/\"><span>Data Strategy<\/span><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/weareoakland.com\/services\/governance\/\"><span>Data Governance<\/span><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/weareoakland.com\/services\/platform\/\"><span>Data Engineering &amp; Platform<\/span><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/weareoakland.com\/services\/analytics-and-business-intelligence\/\"><span>Analytics &amp; BI<\/span><\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/weareoakland.com\/services\/artificial-intelligence\/\"><span>Generative AI consulting and solutions<\/span><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Generative AI is the buzzword of the moment. Attend any industry conference or skim through the latest Gartner hype cycle, and you\u2019d be forgiven for thinking we\u2019re on the cusp of a generative AI utopia. Everyone\u2019s doing it. Everyone\u2019s winning. Everyone\u2019s transforming their businesses at warp speed.<\/p>\n<p>Except, well&#8230; they\u2019re not.<\/p>\n<p>Here at Oakland, we\u2019ve had some revealing conversations while compiling this report on the readiness of major organisations to implement generative AI. Spoiler alert: the reality isn\u2019t quite keeping up with the hype.<\/p>\n","protected":false},"featured_media":9036,"comment_status":"closed","ping_status":"closed","template":"","guides_category":[409],"class_list":["post-9285","guides","type-guides","status-publish","has-post-thumbnail","hentry","guides_category-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Navigating the Emerging Generative AI Gap | Oakland<\/title>\n<meta name=\"description\" content=\"Separating the hype from the reality. How ready are UK organisations for generative AI? 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