Firms face culture debt as AI integration accelerates

Businesses are struggling to bridge a massive “execution gap” as they race to integrate artificial intelligence into the workplace, according to a new report from Deloitte.

The above insight was part of Deloitte’s annual Global Human Capital Trends report, released on Thursday.

More broadly, the report highlighted how organisations can gain a competitive edge by building the human advantage in a new era of work.

The findings of the report were circulated locally by Deloitte Cyprus, drawing attention to how businesses on the island can adapt to rapid workplace transformation driven by artificial intelligence.

Additionally, the report found that organisations face growing pressure to become more agile, redesign work models, strengthen trust, and align workplace culture with AI integration.

It emphasised that adaptability is becoming the new change advantage, with 85 per cent of leaders saying it is critical to build organisational and workforce adaptability at speed.

However, only 7 per cent of leaders believe they are currently leading in helping their workforce continuously grow and adapt, highlighting a significant execution gap.

The report also underscored that work design is critical to achieving returns on AI investment, as organisations that successfully integrate human and machine collaboration are better positioned for long term success.

Despite this, just 6 per cent of leaders reported making progress in designing effective human AI interactions, suggesting that most organisations are still at an early stage.

At the same time, AI is challenging workplace culture, with 65 per cent of organisations believing their culture must change significantly to keep pace with technological transformation.

The report warned that as AI moves from experimental phases into everyday decision making, organisations are reaching a tipping point in how work is structured and governed.

It found that many organisations are experiencing sustained operational strain, rising trust concerns and cultural friction, even as they seek greater speed, resilience and innovation.

Leaders are now at a critical juncture, where they must guide the adoption of human AI collaboration while ensuring that culture is treated as a core organisational infrastructure.

Failure to do so risks creating “culture debt,” defined as the negative consequences of neglecting organisational culture during transformation.

The report highlighted that employees are facing intensifying demands for constant change, with one third of workers experiencing 15 major changes in the past year alone.

This rapid pace of transformation is having a direct impact on wellbeing, clarity, engagement and workload, raising concerns about workforce sustainability.

At the same time, traditional approaches to managing change are proving insufficient, with only 27 per cent of leaders stating that their organisations manage change effectively.

The report introduced the concept of “changefulness”, urging organisations to move beyond conventional change management.

It explained that changefulness involves embedding continuous learning, real time feedback and adaptive support directly into daily work, often supported by AI tools.

The study also explored the challenges emerging at the intersection of humans and machines, particularly around trust and accountability.

It found that while 60 per cent of executives already use AI in decision making, only 5 per cent believe they manage its use effectively.

This gap reflects significant shortcomings in governance and accountability frameworks for AI deployment.

Furthermore, 56 per cent of leaders reported designing AI systems solely for business outcomes, while only 40 per cent consider both business and human impacts.

These findings indicate that many organisations are failing to account for AI’s broader effects on employees and workplace dynamics.

The report noted that these challenges are increasingly cultural rather than purely technical in nature.

It found that 34 per cent of organisations believe their culture is actively hindering their ability to achieve AI transformation goals.

Meanwhile, 42 per cent of workers said their organisations are not adequately evaluating AI’s impact on people, further highlighting a disconnect between leadership priorities and workforce concerns.

The report also identified structural inefficiencies within organisations, particularly in traditional functions such as HR, finance, IT and legal.

These functions were originally designed for efficiency and control within siloed environments, which now limits cross functional collaboration.

As a result, organisations face a widening gap between functions, constraining growth, agility and value creation.

According to the report, 66 per cent of C suite leaders acknowledge that traditional functions must change.

However, only 7 per cent say they are making meaningful progress towards this transformation, underscoring the scale of the challenge.

This gap is becoming increasingly critical as seven in ten business leaders identify speed and agility as their primary competitive strategy over the next three years.

“In a new era where artificial intelligence is drastically changing the way we work, true advantage belongs to organisations that invest in the human advantage,” said George Pantelides, Partner and Consultative Businesses Leader at Deloitte Cyprus.

“The adaptability, trust, and culture we cultivate are not merely success factors, but are the most fundamental factors that will lead to innovation and sustainable growth,” he added.

“When we combine human creativity, empathy, and critical thinking with technology, we pave the way for an organisation that does not fear change but embraces it and moves forward towards a future full of opportunities and progress,” Pantelides continued.

The report further stated that leading organisations are distinguished by their ability to embed adaptability directly into workflows, rather than relying on one off transformation programmes.

It also stressed the importance of building trust in AI systems through transparency, authenticity and critical thinking skills.

Moreover, successful organisations are those that redesign work to optimise collaboration between humans and machines, balancing business performance with human outcomes such as fairness and skills development.

Finally, the report emphasised that treating culture as a foundational infrastructure for AI transformation is essential to avoid long term organisational risks and ensure sustainable progress.