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THE REAL RISK OF HOMOGENOUS TECH TEAMS
I’ve spent my career delivering technology and change across tier-one investment banks and markets, commercial banking, and group-wide HR. In that time, I’ve seen first-hand how the composition of technology teams directly shapes outcomes, and what becomes possible when organisations take a different approach to building those teams.
Tech teams now sit at the heart of how organisations compete, manage risk, serve customers, and build trust. And the cost of getting it wrong is higher than ever.
That’s why who you have in the room matters. Teams with different perspectives are far better at spotting blind spots early, challenging assumptions, and building technology that actually works in the real world.
Some organisations are already taking a different path. They’re bringing in diverse talent, lowering costs, and building tech teams ready for the challenges ahead. I’ll share how one programme helped a major bank achieve this.
Why diversity matters
Diversity matters in technology, not because it is morally right, but because technology now makes decisions about people’s lives. When teams are built from narrow hiring pipelines, blind spots appear in product design, accessibility, risk assessment and AI decision-making. In 2026, those blind spots don’t stay small – they scale.
Why 2026 is a tipping point
Diversity has always been important. But right now it’s critical.
Banks and large corporations are dealing with:
- Fully digital customer journeys
- AI and automation embedded in day-to-day decisions
- Rising cyber and fraud threats
- Far greater regulatory and ethical scrutiny
Tech teams don’t just build things anymore. They decide how customers get services, how decisions are made, and how risks are managed.
If everyone on the team thinks alike, they miss problems. They don’t see how different customers experience products, they don’t question AI bias, and they don’t spot how new tech can be misused.
A good example is the Equifax breach in 2017. Hackers stole the personal info of over 150 million people because a known software problem wasn’t fixed. The company had warnings, but nobody pushed hard enough to fix it – maybe because everyone just assumed things were okay. That failure to question and challenge cost millions.
As AI steps into decisions around credit, fraud, and customer service, organisations need people who’ll ask the tough questions and spot when systems aren’t fair. That’s only possible when teams include people with different life experiences.
In short: the more digital and AI-driven organisations become, the more dangerous homogeneity becomes.
This doesn't need to be a cost, and can be a cost-saving
One of the most common objections I hear from large organisations is that improving diversity in technology “sounds expensive” or “adds complexity”. My experience suggests the opposite.
Traditional tech hiring often involves the cost of:
- High agency fees
- Time spent sorting through loads of candidates
- Attrition risks with people who don’t fit or aren’t engaged
When I helped set up a career switcher programme with Code First Girls, we deliberately challenged this model.
The bank sponsored women who already had workplace experience but had not previously worked in technology. CFG identified, assessed and filtered candidates, ensuring only high-quality, motivated individuals entered the programme. Candidates received structured training, and only those who passed both the course and interview process were offered roles.
The result?
- No agency fees
- Reduced internal hiring effort
- Candidates who had already demonstrated technical capability
- Exceptionally low attrition rates
From a pure business-case perspective, the cost of sponsorship was offset (and often exceeded) by savings in recruitment spend and retention.
Why sponsorship works for both individuals and organisations
For the individuals involved, the impact was transformational. Many were highly motivated women who had previously assumed technology roles were inaccessible to them. The programme removed financial barriers, provided credible training and offered a clear route into a permanent role.
For the organisation, the benefits were equally compelling:
- Highly engaged employees, motivated and ready to contribute with this new opportunity
- Strong loyalty and retention, reducing turnover costs
- Fresh perspectives brought into established teams
- A tangible way to improve diversity without lowering standards
Crucially, diversity and quality were not trade-offs. CFG candidates had to pass rigorous training and interviews. The difference was not capability – it was access.
Why Code First Girls works
Creating momentum by showcasing what works
The impact of sponsoring career-switcher candidates through Code First Girls went far beyond recruitment. Within six months:
- 77% of hires were actively contributing code
- Twice as productive as peers from other recruitment channels
- Over £5 million in cost savings
The programme also sparked wider cultural benefits. Existing employees stepped into mentoring roles during onboarding, embedding knowledge and fresh perspectives across teams. Meanwhile, each cohort of women became part of a growing internal network, supporting new hires and “paying it forward” to future cohorts. This created incredible momentum: productivity, engagement, and collaboration all accelerated, amplifying the impact beyond the initial hires.
By tracking these outcomes, the bank could clearly see that structured, high-quality diversity initiatives deliver more than hires—they deliver measurable business results and lasting cultural impact. In short, building teams that are diverse, engaged, and supported isn’t just the right thing to do—it’s the smart thing to do in a digital and AI-driven world.
Some final thoughts
As 2026 unfolds, organisations that don’t rethink how they build tech teams risk falling behind in performance, resilience, and the trust they earn from customers and regulators.
Building diverse tech teams isn’t about ticking a box anymore. It’s about creating measurable business advantage:
- Boosting tech skills by bringing in motivated candidates who are ready to contribute
- Improving diversity to drive better decision-making, reduce blind spots, and foster innovation
- Cutting hiring costs and boosting retention by investing in high-quality, engaged talent from the start
- Preparing teams for a digital and AI-driven future with people who can challenge assumptions and spot risks early
The organisations that succeed will be the ones that see diversity not as a compliance exercise, but as a strategic lever – one that strengthens teams, drives measurable results, and builds momentum across the business. In short, investing in diverse, capable, and supported tech talent isn’t just the right thing to do – it’s a smart business move.
