
Executive summary
Confidence with AI tends to sit unevenly across a firm, with a few people out in front and many more unsure where to start. This piece covers what the research says about how people feel about AI in the workplace, why uneven confidence matters for a firm, what a confident team looks like, and where that confidence comes from.
Confidence with AI can look different from one desk to the next. Some people may have already found two or three uses that save them time each week, and they would happily show a colleague how.
Others may know they should be using AI and are holding back. Some are nervous about it, some tried it once, got a strange answer and put it down, and some have Copilot open all day without being sure what it is allowed to see or whether its answers are right.
1How people feel about AI in the workplace
In the Ipsos AI Monitor 2026, 67% of Australian adults said products and services using AI make them nervous, level with Canada for the highest of the 32 countries surveyed. Excitement came in at 36%.
Researchers at the ANU surveyed 3,577 Australian adults in October 2025 for AI Adoption in Australia, a partnership between Google and the ANU. Of those surveyed, 57% agreed that a lack of training or skills limits their use of generative AI.
In Employment Hero's AI Paradox Report 2026, a vendor survey of 1,634 Australian workers, 42% said using AI to complete parts of their job feels like cheating.
Inside a single workplace, the spread can be wide: a Gartner survey of 574 Australian employees in early 2026 found 17% used AI heavily and felt positive about it, and 56% used it little and felt negative about it.
When we talk about confidence with AI, we mean knowing which tools you can use for your work, what they do well, where they fall down, and what is allowed to go into them. It also means being comfortable saying that you use them.
2Why it matters to a firm
Some of that nervousness is about jobs. Randstad's Workmonitor Pulse, a vendor survey run in October 2025, found 32% of Australian workers are worried about AI-driven job loss. The Productivity Commission, drawing on Jobs and Skills Australia's research, reports that for most occupations, AI has a greater likelihood of "augmenting" a task than of "automating" it. We look at what that means for lawyers and accountants in separate posts.
Not knowing how to use the tools can feel like being handed an impressive new program and left to work it out. In the National AI Centre's adoption tracker for December 2025 to February 2026, 19% of small and medium businesses said they don't know how to use AI in their business. Among 105 medium to large firms surveyed by the Reserve Bank in 2025, nearly 40% reported minimal use so far, with firms pointing to a lack of knowledge about the possible applications.
When people work it out on their own, they tend to work it out differently. Employment Hero found 34% of Australian workers use AI tools at work without their employer knowing, and 51% picked up their AI skills from social media. In New Zealand, the same research found 28% using AI without their company knowing. That can mean different tools and different standards for the same piece of client work, which is how shadow AI tends to begin.
Almost two-thirds of Australians in the ANU survey said concerns about how their personal data is used limit their use of AI. In a firm holding client files, people need to know which tools are approved and what client information can go into them.
3One person out in front
A natural place to start can be the person who is already good at it. What we tend to see is that the gains stay in that person's corner of the work. The work around them keeps its old pace, so the bottleneck moves to the next person in the chain. Colleagues may also start sending their AI questions to the one person who knows, which adds to that person's load.
A confident person can also head off in their own direction, with methods and tools the rest of the team can't follow. Building a Champion AI Team covers how that individual skill can become a shared method across the firm.
In a study of customer support agents published in the Quarterly Journal of Economics, Erik Brynjolfsson, Danielle Li and Lindsey Raymond found an AI assistant raised productivity by 14% on average and by 34% for novice and lower-skilled workers.
Bringing a whole team along is hard to do, and the gaps can be hard to see. Randstad found 48% of Australian workers agree they have received training on the AI tools that will reshape their jobs, while 56% of employers say their workforce has been trained. In Microsoft's 2026 Work Trend Index, 28% of the 2,000 Australian AI users surveyed said their organisation is clearly aligned on AI strategy and policies. Among professionals whose firm has a formal AI strategy, Thomson Reuters found 35% say it is not visible in their day-to-day work.
AI Uplift Program
See where your team's confidence sits
The investigation shows how your people feel about AI and what they can already do. You keep the findings either way.
4What a confident team looks like
A confident AI team shares a starting point: which tools are approved, what they do well, where they fall down and what can go into them. The National AI Centre's Guidance for AI Adoption sets out the same idea: making sure the people using or overseeing AI "can understand each system's capabilities, limitations and failure points, and when to intervene".
Knowing where a tool falls down matters as well. In a 2023 Harvard Business School experiment, consultants who used AI on a task it handled poorly were less likely to reach the correct answer than consultants working without it.
People also know who in the team can do what. If the person in accounts has worked out a good way to check a reconciliation with AI, the rest of the team knows to ask her, and her method can become the way the team does it.
From there, each person learns the tools that fit their role. The marketing team may use different AI tools from the research team, and both may use different tools from accounts. Content creation can stay with the people whose job it is. Our post on skills by role goes through it from reception to the partners.
Confidence left to each person
- A few people race ahead and the rest hold back
- Each person learns from wherever they can
- AI questions all go to one desk
- People guess what is safe to put into a tool
- AI use stays quiet
A confident AI team
- The whole team shares a starting point
- People learn the tools for their role
- The team knows who is good at what
- People know what is safe to put in
- AI use is talked about openly
5Where confidence comes from
In the 2025 Victorian Lawyer Census, 72% of lawyers using AI had received AI training in the past year, compared with 38% of those not using it. The census shows the two go together, though it can't show which came first. In total, 70% of the 1,887 lawyers who responded felt they would benefit from AI training or learning materials.
Workplace AI guidelines existed for 42% of the Victorian lawyers surveyed. Of those using AI, 63% worked where guidelines existed, compared with 31% using it without them.
In Denmark, Anders Humlum and Emilie Vestergaard studied about 25,000 workers in 11 occupations exposed to AI, including accounting and legal work. Where the employer had done nothing to encourage it, about 41% had used AI chatbots at work. Where the employer encouraged use, provided a tool and trained people, 93% had used them and 28% used them daily.
Microsoft found organisational factors such as culture, manager support and talent practices were associated with about twice the reported AI impact of individual factors (67% against 32%). When Salesforce and YouGov asked 2,132 Australian and New Zealand knowledge workers what would make them comfortable using AI at work, 45% named access to expert support and 40% easy access to approved tools.
When a team talks regularly about what is working and what went wrong, people have somewhere to ask questions and share what they have learned.
The approved tools, the training and the written guidelines are decisions only a firm can make, and once they are made, people can stop guessing.
6Four ways to build confidence
Ask your people how they feel
Ask anonymously how confident people are with AI, which tools they use, and what worries them about it. Include a question about jobs.
Agree a shared starting point
Decide what every person in the firm should know: the approved tools, what they do well and where they fall down, what can go into them, and who to ask. Keep it short and practical. Training that sticks looks at how to make it last.
Match the tools to the roles
Go team by team and list the AI tools each one uses for its own work. Give people permission to leave the rest to the teams that need them.
Write it down
Keep a short list of who to ask about which tool, and put the firm's guidelines in writing. A policy that says yes covers what a draft policy for your partners to finalise can include.
7Where we come in
Our investigation includes a whole-of-firm survey and conversations across the firm, so you can see how confident your people feel with AI and what they can already do. It also measures how long the firm's work takes today, so the firm starts from a baseline of its own. The findings belong to your firm whether or not we go any further together.
From there, every person completes AI Foundations before cohort workshops grouped by team or skill level, and an AI Champion in each team keeps it going after we leave.
If you'd like to find out how confident your team feels with AI, get in touch. The first conversation works out whether your firm is the right fit for the AI Uplift Program, and whether we are the right people to help.
Building confidence
Frequently asked questions
What does it mean to be confident with AI at work?
Knowing which tools you can use for your work, what they do well, where they fall down and what can go into them, and being comfortable saying you use them.
How do Australians feel about AI in the workplace?
In the Ipsos AI Monitor 2026, 67% of Australian adults said products and services using AI make them nervous, level with Canada for the highest of 32 countries. In an ANU survey, 57% said a lack of training or skills limits their use of generative AI.
How many AI tools does each person need to learn?
The tools that fit their role, plus a starting point the whole firm shares: which tools are approved, what they do well, where they fall down and what can go into them.
Where does confidence with AI come from?
Training, agreed guidelines, support from managers and colleagues, and talking openly about what works. In the 2025 Victorian Lawyer Census, lawyers using AI had been trained at almost twice the rate of those who were not using it.
Are people worried AI will take their jobs?
Randstad found 32% of Australian workers are worried about AI-driven job loss. The Productivity Commission, drawing on Jobs and Skills Australia, reports that for most occupations AI is more likely to augment a task than to automate it.

About the author
Julia leads the investigation and is the author of the report presented to your leadership. Her background is in research, data analysis and business strategy.
Primary sources
Ipsos, The Ipsos AI Monitor 2026, 23,532 adults in 32 countries including about 1,000 in Australia, 2 June 2026resources.ipsos.comHerrington, Biddle, Okai-Ugbaje and O'Brien, AI Adoption in Australia: A Partnership between Google and ANU, ANU, 3,577 Australian adults, 9 July 2026cybernetics.anu.edu.auEmployment Hero and Focaldata, AI Paradox Report 2026, 1,634 Australian workers and 1,008 business leaders, 2 July 2026employmenthero.comEmployment Hero, Kiwis Are Embracing AI At Work, But Many Are Afraid To Admit It, 820 New Zealand employees, 7 July 2026scoop.co.nzGartner, Gartner HR Survey Finds AI is Boosting Productivity but Widening Workforce Divisions in Australia, 574 Australian respondents, 2 June 2026gartner.comRandstad, New data warns of looming AI 'skills cliff' for Australian workers, Workmonitor Pulse, 2 March 2026randstad.com.auProductivity Commission, Harnessing data and digital technology, Inquiry report no. 111, 10 December 2025assets.pc.gov.auNational AI Centre, AI adoption insights: December 2025 to February 2026, 7 May 2026ai.gov.auFernando, McLoughlin and Ratnayake, Technology Investment and AI: What Are Firms Telling Us?, RBA Bulletin, 13 November 2025rba.gov.auBrynjolfsson, Li and Raymond, Generative AI at Work, Quarterly Journal of Economics, 2025 (foundational)nber.orgMicrosoft, Aussie Workers Charge Ahead with AI, While Leadership Falls Behind, 2026 Work Trend Index, 15 June 2026news.microsoft.comMicrosoft, 2026 Work Trend Index report: Agents, human agency, and the opportunity for every organization, 5 May 2026microsoft.comRunyon, 2026 Future of Professionals: What the data says about the human side of AI, Thomson Reuters Institute, 8 July 2026thomsonreuters.comNational AI Centre, Guidance for AI Adoption: Foundations, October 2025ai.gov.auDell'Acqua et al., Navigating the Jagged Technological Frontier, Harvard Business School working paper 24-013, 18 September 2023 (foundational)papers.ssrn.comVictorian Legal Services Board and Commissioner, Generative AI Use in the Legal Profession: Findings from the 2025 Victorian Lawyer Census, 20 April 2026lsbc.vic.gov.auHumlum and Vestergaard, Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI, NBER working paper 33777, revised March 2026nber.orgSalesforce and YouGov, Personal AI use triggers surge in workplace confidence across Australia and New Zealand, 2,132 knowledge workers, 20 January 2026salesforce.comGeneral information about how firms organise their AI use. It is not legal, tax or professional advice.
