
As generative artificial intelligence (GenAI) adoption reaches critical mass, employers are taking steps to protect jobs and retain essential skills.
Amid the digital transformation currently underway, recognition is growing that human intuition and creativity shouldn't be undervalued in the race to automate.
In our latest Gallagher global survey of business leaders, 85% report they've specifically introduced strategies for protecting employees' jobs as part of their AI adoption framework.
This protection reflects their belief that the AI transformation is more likely to augment rather than replace roles in the business, with the need to upskill staff so they can get the most from the technology.
At the same time, many firms are creating new jobs to bring in external skills and expertise. A third of survey respondents say their business is creating new roles — such as chief AI officers and data scientists — to target talent with specialist digital skills.
Other reasons for job protection strategies include the need to retain and promote creativity, which 38% of business leaders cited as a key priority. Other key drivers are the need to retain the human touch when interacting with clients and to reduce disruption to the workplace as AI is embedded.
A job-centric approach to AI adoption acknowledges that while AI may prove transformational for certain use cases, there's a risk it could overly disrupt the workplace. Integrating AI solutions across the board — and in areas that typically require a more intuitive, human touch — could create issues with workforce engagement and impact customer satisfaction.
Trust is a key issue. When asked about barriers to adoption, a quarter of respondents cited concerns about AI eroding employee trust in the company.
- Negotiation or mentoring
- Ethical sensitivity and moral judgments
- Creative originality and artistic expression
- High-stakes decision making
- Complex problem solving in dynamic environments
The rapid growth of AI adoption
Any fear people have AI replacing them doesn't appear to be impeding AI adoption among the general population. In 2024, downloads of GenAI apps reached 1.5 billion, up from 800 million in 2023.1 And in February 2025, Apple's App Store listed GenAI apps as the top two free downloads.
If anything, the speed of adoption is leaving employers and regulators scrambling to catch up.
Reskilling the workforce to get more from AI
Survey respondents acknowledge that an AI-skilled workforce is essential for AI adoption and long-term success. Developing a skilled workforce will require investment in both training and recruitment.
Nearly half of the respondents said their firms are offering training to upskill employees on AI tools, while 34% have offered to reskill employees whose roles are being replaced by AI.
"At the moment, it feels like we're in an okay place, in that we live in a world where it's normal to come to work and use a computer," says Drew Munn, strategy partner, Future of Work at Gallagher. "But we're not accounting for the fact that 90% of the roles people do in the world are augmented by the technology they've had to be trained to use, which isn't their core function within the business," he says.
The need for ongoing change management
According to Gallagher's global survey, more business leaders think AI will augment than replace existing roles within the workforce (42% versus 15%), while 28% expect a mix of both.
"There's a lot of fear out there at the moment, surrounding, 'Is AI going to take my job?' and 'Are we all going to be automated away?' The noise is making people quite fearful," says Ben Warren, head of digital transformation and AI at Gallagher. "So how do you mitigate that? You need education and change champions."
Another aspect to the AI transformation is that upheavals will be felt disproportionately across the organization, depending upon where the initial use cases are identified.
Functions being impacted more quickly by AI integration are typically the more routine tasks such as database management, scheduling and inventory control2. In the first phase of transformation, back-office jobs are most exposed to disruption.
However, once the primary use case for AI has been identified and implemented, the efficiency gains will make it tempting to mandate rollout to other business functions.
Perhaps unsurprisingly, the global survey found that IT departments are most likely to have adopted AI (58%), followed by customer service (37%) and finance (34%).
Taking a cross-divisional approach to integration and communication
The varying pace of integration within the organization means that workers will have a differing set of concerns and requirements at any one time. This difference has implications for internal communications and training needs.
Counterintuitively, the global survey found that communication relating to AI risks has dipped year over year to 78%, down from 84% 12 months prior.
"You're going to get hotspots within certain divisions at different stages, rather than across the whole organization, and your approach needs to be tailored to that," says Warren.
"Last year, a lot of organizations carried out a few communications campaigns across their teams and organizations and then stepped away. But it's not a one-and-done exercise. When we're working with partners externally, and within Gallagher, we're emphasizing the need for a full and ongoing change management program."
Published February 2025