AI Backlash and the #QuitGPT movement: Why leaders must address and not ignore growing ethical concerns
The AI backlash movement is growing in momentum, driven by community anxieties over AI job displacement, personal data usage and growing concerns over privacy. IP infringements of creative work, hallucinations and growing awareness of environmental impact is also driving the backlash movement. Ethical concerns with AI usage recently leapfrogged a number of societal issues to become the second most challenging future matter to navigate in our 10th Ethics Index.1
2026 is a critical inflection point for how AI will be embraced in the workplace, with ethical leadership including much-needed transparency and accountability at the centre of how effectively the technology will be managed. Leaders should be asking themselves, how, why and where is AI being used across the organisation, assessing its underlying long-term value, purpose and how clearly and effectively its usage is being communicated to internal and external stakeholders including the broader community, regulators, third-party suppliers and employees.
Understanding AI Backlash
The backlash is not solely driven by a disliking for new tech. Rather, it is a combination of factors that leads individuals to believe a sense of control or autonomy is being lost in everyday decision-making in the workplace, particularly so where HR and recruitment may be concerned. Increasing evidence suggests a hollowing out of graduate-roles, leading to greater scepticism from Gen Z, whilst baby boomers, similarly feel increasingly displaced by the emerging technology.
The AI backlash movement demonstrates increasing awareness and discomfort with personal data usage as well as greater emphasis for privacy protections. What we have witnessed in other jurisdictions across the world, particularly the EU, is a back peddling from robust data protection laws that emphasise individuals rights to data protection and privacy and move towards a simplification of tech laws to boost competitiveness and cut red tape.2
Amnesty International described these as “proposals presented under the guise of “simplification” amount to an unprecedented rollback of rights online at the EU level that protect us from corporate and state surveillance, discrimination at the hands of AI systems, and much more.”3
Announcements were also made to weaken and delay implementation of rules in the EU AI Act, which has been viewed as particularly problematic for high-risk systems that pose risk to health and safety. The delay in the full implementation of the AI Act and the weakening of the EU GDPR has sparked conversation over how to balance new innovations and technologies, whilst protecting fundamental human rights.
The debate over whether Australia should implement its own AI Act is not raging right now, as government has clearly demonstrated its intention to utilise and amend existing legal frameworks, such as consumer and competition law to reinforce the necessary protections of citizens that may potentially be harmed by AI use when it announced the National AI Plan in late 2025.4
However, the AI Plan does not resolve entirely community anxieties over how AI is being used in workplaces. People have become more cautious about it being involved in high-stakes decisions like hiring, firing, or promotion. Australian Unions have warned employers they will be ramping up their campaign insisting employers are transparent and follow their legal obligations the minute they choose to adopt AI.5 In recent comments made by ACTU Assistant Secretary, Joseph Mitchell, ‘Consultation is a clear requirement of Australian employers, and the ACTU will coordinate a response to any employer who does not abide by their legal obligation, placing themselves at risk of disputation proceedings and reputation damage.‘6
That mix of privacy anxiety and decision-making risk is a big reason the conversation has shifted from “What can AI do?” to “Should we use it here?”, “What does our AI governance framework look like?” and “Do we have appropriate legal protections and safeguards in place?”
The QuitGPT Movement: Origins and Motivations
One visible expression of this pushback is the QuitGPT movement, which encourages people to step back from ChatGPT or other generative AI tools. It has been promoted through a dedicated website and social sharing, framing the choice as a values-based boycott of specific AI products and business decisions. Not everyone joins for the same reason. Some people are reacting to privacy and data use concerns, others to worries about bias or over-reliance, and some simply want to protect time for “human” work like critical thinking and original writing.
Addressing Common Complaints and Knowing Where to Start
Most complaints fall into three buckets: “Will this replace jobs?”, “Why can’t anyone explain how it reached that answer?”, and “What if it bakes in bias?” Those concerns are not abstract. A practical response is to keep humans in the loop of high stakes decisions, documenting where AI is used, testing and screening for bias, and being open and transparent about data sources and limitations. That is also consistent with the OECD’s emphasis on transparency, robustness and accountability.
The National AI Centre’s Guidance for AI Adoption sets out six essential practices for responsible AI governance and adoption that is aimed at building trust with stakeholders, benefiting from AI whilst managing the risks, building public confidence in adopting AI and setting up a roadmap for navigating complex governance landscape.7 Best practice deployment is often driven by a foundational understanding of key terms and definitions, appropriately assigning accountabilities, measuring and managing risks, testing, monitoring and maintaining human oversight, and mapping impacts and planning accordingly.8
Best practice adoption often starts with Chief Risk Officers, having the right list of questions and conversations with employees, customers, suppliers, management and the Board, to ensure that AI technologies are ‘the right fit’ for the organisation, setting out and ‘strategically planning’ how AI will support organisational goals, purpose and values.9
Recent Developments
In day-to-day life, the “AI debate” often shows up as simple expectations: people want to understand what is happening to their data, and they want meaningful explanations when AI influences a decision. Many people say they understand little to nothing about what companies do with their personal data, and that uncertainty feeds demand for clearer disclosure. At the same time, online communities continue to swap tips on when to use AI, when to avoid it, and what alternatives might better match their values.
Voluntary disclosure of how, why and where AI is being used across the organisation was taken by Commonwealth Banks’ with the release of their recent report on ‘Our Approach to adopting AI’ – a clear recognition and move towards the need for greater transparency.10 To boost public trust and confidence, best practice deployment should be demonstrated through a clear commitment to universally adopted AI Ethical Principles11, critically maintaining governance and accountability, whilst leveraging technology and risk management frameworks to fundamental drive organisational change and long-term value.
Conclusion
The AI backlash, and movements like QuitGPT, are a reminder that trust and ethical decision-making matters as much as tech capability. The path forward is not “use AI everywhere” or “ban it all.” It is choosing the right use cases, setting clear boundaries, and being upfront about data, risks and accountability. If we anchor adoption in widely recognised principles like transparency, human oversight, robustness and accountability, as outlined in the National AI Centre and Governance Institute’ AI Governance and Ethics White paper, we have a much better chance of getting the benefits of AI without losing public confidence.12
1 — 2025 Ethics Index Report
2 — amnesty.org/en/latest/campaigns/2026/04/eu-simplification-laws/
3 — amnesty.org/en/latest/campaigns/2026/04/eu-simplification-laws/
4 — industry.gov.au/publications/national-ai-plan
5 — actu.org.au/media-release/ai-unions-put-corporate-australia-on-notice/
6 — actu.org.au/media-release/ai-unions-put-corporate-australia-on-notice/
7 — industry.gov.au/publications/guidance-for-ai-adoption
8 — industry.gov.au/publications/guidance-for-ai-adoption
9 — governanceinstitute.com.au/app/uploads/2025/12/Cisco-GI-AI-Risk-Report.pdf
10 — commbank.com.au/content/dam/commbank-assets/about-us/docs/our-approach-to-adopting-ai-december-2025.pdf
11 — oecd.ai/en/ai-principles
12 — White paper on AI Governance