From hype to habit: Microsoft report highlights best practices for Generative AI adoption by industry leaders
Generative AI offers productivity gains and enhances customer experiences, however realising value hinges on the right culture, leadership and skilling approach
New Microsoft research released today shows that generative AI (GenAI) is now being used in nearly every large organisation across Australia and New Zealand (ANZ).
The findings indicate a pivotal moment, with 100 per cent of survey respondents reporting personal time savings at work due to GenAI. They also report a range of other benefits, leading business leaders to examine value beyond personal productivity gains.
From hype to habit: Exploring the value of generative AI at work is based on a YouGov survey of 471 decision makers from organisations across Australia and New Zealand that employ more than 300 people. The report also features insights from interviews with leaders from more than 20 organisations that have been early adopters of Microsoft 365 (M365) Copilot, including Bank of Queensland, Endeavour Energy, TAL, Telstra, and UNSW. These insights reveal best practice approaches to articulating value and return on investment (ROI), skills development, driving adoption and fostering the right culture.
Saving time and finding new areas of value
Fifty-one per cent of surveyed respondents say GenAI saves employees over an hour a day, while 21 per cent report time savings of more than two hours a day.
Time saved was named as an important baseline measure of success for organisations, with 43 per cent of respondents saying they measure ROI by looking at the time they save by using GenAI to complete certain tasks.
The research also explores what employees are doing with their newfound time and capacity. The top areas include being able to focus more time on their core responsibilities and tasks, researching industry trends and best practices, being more creative and innovative, and seeking new business opportunities.
Seventy-one per cent of respondents also say they have seen their organisation’s customer satisfaction levels rise since they started using generative AI.
In addition, the research shows many decision makers are taking a wider view of GenAI’s value beyond personal productivity gains. This includes how the technology is enabling improved quality of work and articulating what people can do now that they couldn’t before.
Culture and change management are crucial to adoption
The survey found that IT departments have the greatest responsibility for generative AI implementation (36 per cent of organisations), followed by data science and analytics (13 per cent) and executive leadership (11 per cent).
A clear trend emerged when speaking to several of the organisations most advanced in their M365 Copilot implementation. Those with the greatest AI adoption rates attributed their success to appointing change managers to partner with IT to drive adoption of GenAI across their organisation.
This was reinforced in the survey, with 32 per cent of respondents saying they have noticed more hands-on training and change management actions with GenAI adoption, compared to other technologies.
Business leaders also pointed to the evolving role of leadership to embrace adaptive leadership principles; to show employees they use AI themselves and model AI adoption from the top.
The research reinforces the value of role-specific training while still allowing time for employees to experiment, share and innovate. Even so, only 32 per cent of respondents feel their organisations adequately train employees in GenAI. Meanwhile less than half (43 per cent) say their organisation wants employees to become more familiar with GenAI tools and actively encourages them to use these tools.
A range of interesting cultural issues also surfaced throughout the research. For example, one in five respondents (19 per cent) feel like they are ‘cheating’ when they use AI to produce a final output. This suggests organisations need to do more to remove guilt around AI, which again can be achieved through leadership advocacy, a change-led focus and empowerment to experiment.
The survey found nearly all respondents (96 per cent) have faced data security and access challenges in adopting GenAI for work. Several M365 Copilot customers noted how security and data challenges surfaced issues that they were aware of but yet to act on; with their adoption of GenAI helping them to accelerate their data governance and privacy efforts.
Surprisingly, 25 per cent of respondents say they use public GenAI tools at work. This highlights the importance of ensuring that organisations’ technology environments have the right guardrails in place to ensure employees are aware of the risks of using public AI tools at work, and how they can enable safe and secure adoption of AI.
Interested in learning more? Read the full report here: aka.ms/hypetohabit