A Growth Performance Framework
The Augmented Us: identity leadership for the era of AI
The Augmented Us is an identity leadership framework for leaders running teams where AI has moved past the pilot phase. It draws on the social identity tradition of Tajfel and Turner and the contemporary identity-leadership synthesis developed by Haslam, Reicher, Platow, Steffens and colleagues over the past two decades. It applies that work to the new reality of human-AI hybrid teams using recent research from Yan et al., McWilliams et al., Xin et al., Krug et al. and Glickman and Sharot, and tests the argument against the 2026 Microsoft Work Trend Index of 20,000 AI users.
What this is
Most AI enablement programmes train people to use the tools. The Augmented Us works one layer up, on the question of how teams hold together when part of "us" is no longer human. AI is now a quasi-member of the team that quietly reshapes psychological safety, the team's distribution of capability, and the cognitive habits members fall into. The leader's job is not to teach the tools. It is to sustain the team's sense of "us" through the change the tools introduce. The contribution of this framework is the operationalisation of identity leadership for AI-augmented teams, structured into a six-stage practice supported by four practitioner artefacts that fit the existing rhythms of real teams.
The three problems it solves
If you recognise yourself in any of these, you are the right audience.
PROBLEM 01
You can describe the AI strategy on a deck. You cannot describe how your team's character has changed in the last twelve months.
You are leading the team you had a year ago, while the team has quietly become something different. The framework gives you the language and the practice to name and shape that change deliberately, rather than presiding over it by default.
PROBLEM 02
AI is shaping how your team works, whether or not anyone has decided it should.
Yan et al. (2025) showed in a study with 905 participants that AI personas reshape team behaviour even when members do not detect their presence. Identity is being formed by default. The leader's job is to do that work consciously, before it is done by software vendors.
PROBLEM 03
You have invested in AI tool training. You are not seeing the team-level effects you expected.
AI fluency programmes answer the tool question. The Augmented Us answers the identity question. The strongest results come from running both: tool fluency at the individual level, identity leadership at the team level.
The framework, summarised
The augmented 6R practice. A six-stage rhythm, not a one-off intervention.
Readying
Wake leaders up to the silent identity work AI is already doing.
Reflecting
Map the team's identity ecology, including the AI tools and agents in it.
Representing
Articulate what the team exists to do, and what AI is for inside it.
Realising
Pair every priority with an explicit human-AI division of labour.
Reinforcing
Install the monthly ritual that surfaces drift before it hardens.
Recalibrating
Quarterly reset as AI capability and team composition shift.
The framework preserves the four mechanisms of identity leadership defined by Steffens et al. (2014): prototypicality, advancement, entrepreneurship and impresarioship. Each is reframed for augmented teams, where the prototype, the collective interest and the boundaries of "us" all shift.
It adds a fifth task: sustaining identity continuity. Krug et al. (2021) showed empirically during COVID-19 that continuity mediates between identity leadership and team wellbeing. AI is the next disruption of that kind, and arguably the larger one.
The randomised controlled trial of the 5R programme produced large gains in identity leadership knowledge and medium gains in team engagement and "teamfulness". The augmented version adds a sixth stage, Recalibrating, because the 2026 Microsoft Work Trend Index reports a fifteenfold rise in unique active agents year on year (eighteenfold in large enterprises). A six-month-old identity exercise is already out of date.
The evidence base
Every claim in the framework is referenced and verifiable.
67% vs 32%
AI impact split
Across 29 measured factors, organisational variables (culture, manager support, talent practices) account for 67 per cent of the explained variance in AI impact, against 32 per cent for individual mindset and behaviour. Organisational AI culture is the single strongest predictor.
Microsoft (2026) Work Trend Index, 20,000 respondents
905
participants
AI personas reshape team dynamics across analytical, creative and ethical tasks even when participants do not detect AI involvement.
Yan et al. (2025)
1,401
participants
Human-AI feedback loops amplify human biases significantly more than occurs in interactions between humans alone.
Glickman and Sharot (2025), Nature Human Behaviour
32,000+
across 128 studies
Meta-analytic confirmation that leader prototypicality predicts effectiveness, trust, identification and willingness to follow.
Steffens et al. (2021)
The full evidence base is in the white paper.
A note on what this framework is and is not
The Augmented Us is not a new theory of leadership. The theoretical contribution belongs to Haslam, Reicher, Platow, Steffens and colleagues, whose social identity approach the framework builds on. The Identity Leadership Inventory remains Steffens, Haslam and Reicher's (2014). The 5R programme remains the work of the Queensland and St Andrews groups. Growth Performance's contribution is the application, operationalisation and practitioner translation of identity leadership for AI-augmented teams. It is also not an AI fluency programme and does not teach prompt craft, tool selection or model choice. It sits one layer up, on the team-identity layer that fluency programmes do not address.
Who has done this work
The framework draws on patterns from the leadership workshops Growth Performance Ltd runs for local, national and global clients across financial services, media, manufacturing and professional services. The same pattern shows up repeatedly. The leader can describe the AI strategy on the deck. They can name the approved tools. They cannot tell you how their team's character has changed in the last twelve months. Growth Performance delivers The Augmented Us solution directly and through channel partners.
The practitioner artefacts
Four artefacts the team uses, included in the white paper.
The augmented social identity map
A two-axis canvas mapping the team's full identity ecology, including AI tools and agents.
The team charter for augmented work
A one-page document answering what the team exists to do, how AI helps, and where they stay deliberately human.
The human-AI division of labour tool
A three-column tool, used quarterly, that distinguishes what AI accelerates from what humans must lead.
The monthly continuity ritual
A fifteen-minute team practice that surfaces what AI is quietly reshaping and what the team is choosing to preserve.
Clients receive guided versions through the consultancy engagement.
How the framework shows up
Three ways to engage.
Free download
The white paper
An evidence-based primer with the full framework, the research base, and the four practitioner artefacts. Quote and share with attribution.
Twelve-week intervention
The consultancy engagement
A twelve-week engagement with a leadership team. Walks the team through the six-stage practice over four sessions, embeds the artefacts, and exits with the team running the monthly continuity practice without external facilitation.
Forty-five minutes plus discussion
The keynote
Why your team's identity is being authored by your software vendors, and what to do about it. Delivered to executive audiences, conference platforms and leadership team awaydays.
About the author
Ben George
Ben George is the Founder and Principal of Growth Performance, a UK-based learning and performance consultancy specialising in leadership, management and AI enablement programmes for major corporate clients. Growth Performance works directly with leadership teams across the UK and internationally. The Augmented Us is the most recent in a series of frameworks Ben has developed for the era of AI-enabled work.
What part of how your team works was quietly shaped by AI in the last month?
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