Just 10% of organisations are scaling AI at a transformative level,
with weak data foundations and competing leadership priorities stalling value realisation
London, UK – 09 July 2026 – A new report from Gate One, with research and analysis from IDC, finds that leadership misalignment is emerging as a major barrier to transformation.
Organisations are under pressure to drive growth while increasing efficiency with 32% already citing budget constraints as a major challenge. As agentic AI accelerates change, the real test is whether organisations are equipped to deliver more with less amid misaligned leadership priorities and weak operational foundations for scaling transformation.
The finding is at the heart of the 2026 Transformation Index. Based on a survey of 750 senior decision-makers across the UK, Ireland, France and the United States, the research shows that only 11% of organisations are considered transformation ‘Leaders’, while 51% remain stuck at mid-maturity, unchanged from 2025’s findings.
The research points to a growing disconnect at the top of organisations. CEOs rank workforce capability and skills among the three biggest threats over the next 12 months, while only 34% of Chief People Officers are prioritising talent acquisition and retention compared to an average of 48%, focusing instead on data and AI skills for the future workforce. Gate One says that difference in focus is making transformation harder to execute.
That misalignment sits alongside competing demands on the business. Some 44% of organisations rank growth among their top three priorities for the year ahead, together with efficiency (43%) and cost savings (38%). Yet, 39% highlight conflicting stakeholder demands as a key challenge in prioritising initiatives, particularly with short-term financial performance and long-term transformation goals (63%), business expectations and current technology capabilities (50%), and risk or compliance requirements versus innovation ambitions (45%). External pressures such as economic uncertainty (35%), budget constraints (32%) and workforce capability gaps (32%) only add to the burden when prioritising transformation initiatives.
AI investment is scaling the problem, not solving it
Into this environment, organisations are deploying AI at scale, but not always wisely. Some 63% are using AI to automate routine tasks and 60% to optimise process speed. Yet only 10% of organisations are already using generative AI and AI agents as a core part of how they operate and deliver value, and only one in three such initiatives currently meet or exceeds expectations.
The contrast with leading organisations is instructive. Those at a transformative stage of generative AI and AI agent deployment are using the technology not only to automate routine tasks but to support decision-making, enhancing operational decisions (57% versus 46% average) and optimising resource allocation and workforce planning (47% versus 40% average). Critically, 84% of leaders prioritise end-to-end process redesign before deploying AI, compared with fewer than 40% of non-leaders.
The data readiness chasm
Underlying the AI challenge is a more fundamental problem with data. Only 24% of organisations actively manage data to create value. Among transformation leaders, that figure rises to 80%. This 56-point gap helps explain why heavy investment in data (55%) and AI (48%) is failing to deliver expected returns.
Leading organisations address this by building strong foundations first, prioritising data, customer experience technologies and core systems modernisation, each at 60%, before scaling AI. Success, however, is not purely a technical matter. Persistent skills gaps and people-related barriers remain recurring constraints, with 50% citing change management as a significant challenge. Digital skills (75%) and data and AI skills (74%) dominate as the most critical capabilities identified for future workforce readiness.
From change fatigue to change capability
Transformation programmes rarely fail because of the technology. They fail when organisations underinvest in people, processes and culture. The data bears this out: 38% of organisations report high to very high levels of transformation fatigue, and 70% say initiatives have been delayed or constrained by people-related execution challenges.
Leading organisations have developed a formula that is disciplined and deliberate:
- Treating data and governance as non-negotiable foundations
- Continuously measuring ROI and business value, with 37% adjusting initiatives in near real time and a further 63% doing so at least quarterly
- Tightly aligning and prioritising transformation efforts (97%)
- Investing in upskilling and reskilling to enable long-term success (54%)
Who is getting it right?
Consumer-facing industries are leading the field. Life Sciences, Retail, and Passenger Transportation and Travel sit at the top of the maturity ranking, with roughly one in six organisations already at the leading stage. Life Sciences organisations (18%) are three times more transformationally mature than their counterparts in Banking (6%).
At the other end of the spectrum, regulated, capital-intensive industries, including Banking, Insurance and Utilities, record the lowest overall scores, reflecting the combined weight of legacy estates, rising compliance demands and structural pressure to change. Transformation fatigue is most acute in Insurance and Retail, where 43% of organisations report high to very high fatigue levels, against a cross-sector average of 38%. Transportation, by contrast, reports the lowest fatigue at 34%, alongside Hospitality and Government at 35%.
James Cooper, Partner at Gate One, comments: “Our 2026 Transformation Index shows that, while the pressure to grow and simultaneously cut costs isn’t new, applying AI to broken processes is. Our assessment is clear: deploying AI onto processes never designed for the pace, flexibility or data quality modern transformation demands is not working. Automating a broken process doesn’t drive efficiency, it simply scales inefficiency. At Gate One, we see that technology can accelerate transformation, but it won’t fix misaligned leadership or weak foundations. The organisations pulling ahead are making clear choices on where to focus: accelerating performance by aligning leadership, prioritising what matters most and redesigning how work gets done to unlock sustainable value.”
Andrea Siviero, Senior Research Director at IDC, comments: “Organisations that transform successfully are clear on the measurable outcomes they’re targeting, whether that’s improved experience or cost savings, and they continuously review progress. But transformation only works when the whole workforce feels part of it, and those that invest in both growth and efficiency, rather than focusing on cost alone, are far more likely to stay competitive.”
For the full paper, visit: https://gateoneconsulting.com/transformation-index
Methodology
The Transformation Index 2026 is based on primary mixed-method research conducted and analysed by IDC commissioned by Gate One between April and May 2026. The study assessed organisations’ transformation maturity across the United Kingdom, Ireland, France and the United States. Data collection comprised telephone surveys with 750 respondents, supplemented by six in-depth qualitative interviews conducted by IDC analysts. All participants are director-level or above, spanning executive, digital, transformation, operations, commercial and HR functions at organisations with $500m or more in revenue or 1,000 or more employees. All hold decision-making authority or influence over transformation initiatives within their organisations.
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