This issue is all about money — banking, finance and insurance. AI has moved from a better chatbot to a question about where bank profits come from: McKinsey says $170 billion is in play by 2030. Almost every finance firm now uses AI, but few get real value from it. In the Gulf the banks lead the region, yet lack the people to scale and govern it. The pattern repeats everywhere: the winners pair fast AI with strong governance and the right people — TASC's ground. Here's the news, why it matters, and a playbook to get there.
What's moving in AI worldwide
AI is about to reshape where banks make their money
AI in banking is no longer about a better chatbot. McKinsey says it's about to move where the profits sit.
$170bn — of global bank profit at risk by 2030 without new business models (McKinsey)
AI in banking has moved past better chatbots. McKinsey says it now reaches the profit pool: as consumers get AI agents that chase the best rates and zero-fee transfers, about $170 billion — roughly 9% of global bank profit — is at risk by 2030 unless banks change how they operate.
The same report frames the upside. Banks that move early on agentic and generative AI could lift their return on tangible equity by up to four percentage points over slower rivals, and cut operating costs by as much as a fifth. That gap is not a one-off; it compounds, because early movers bank years of productivity gains before those gains become the industry baseline.
For a bank or insurer leadership team, the takeaway is blunt. AI is no longer a line item in the innovation budget — it is a question of where future profits come from and who captures them first. The institutions pulling ahead are the ones treating it as a business-model decision, governed from the top, not a series of departmental pilots.
Why it matters: AI shifts from a cost-saving IT project to a board-level question about future profit — and early movers compound the lead.
Source: McKinsey — Agentic AI will shake up banking, shrinking global profit pools
AI is everywhere in finance now — but the value is uneven
Almost every financial firm now uses AI. Far fewer get real value from it — and fintechs are pulling ahead of the banks.
81% — of financial-services firms now use AI in some form (only 2% use none) (Cambridge CCAF)
The Cambridge Centre for Alternative Finance's 2026 report says the adoption race is essentially over: 81% of finance firms now use AI and only 2% use none. The harder truth is underneath — just 40% have scaled it, and proving clear, enterprise-wide value is still difficult.
There's also a gap opening between challengers and incumbents. Fintechs are more than three times as likely as traditional financial institutions to have reached the 'transforming' stage — 19% against 6%. The report points to the same three barriers again and again: poor data quality, a shortage of AI talent, and legacy systems that slow everything down. The top risks named are model hallucinations, opacity and a lack of explainability.
For an established bank or insurer, the message is uncomfortable but useful. Having AI is now table stakes. The edge comes from turning it into measurable outcomes — on top of old systems, with people who are hard to hire, under rules that are getting stricter. That is a leadership and workforce problem as much as a technology one.
Why it matters: 'We use AI' is no longer a differentiator. The real contest is turning it into measurable value — and incumbents are behind.
Source: Cambridge Judge Business School — The 2026 Global AI in Financial Services Report
AI in the region: UAE & KSA
Gulf banks lead the region on AI — but can't find the people
UAE banks top the Middle East & Africa for AI, with Saudi's Al Rajhi close behind. The thing holding the region back isn't technology — it's people.
316 vs 1,763 — average AI staff at Middle East & Africa banks versus global peers (Evident AI Index)
The Evident AI Index for Banks (MEA), released in June 2026, is good news and a warning at once. Emirates NBD ranked the most AI-advanced lender in the region, with First Abu Dhabi Bank third and Saudi Arabia's Al Rajhi Bank ninth; Mashreq also made the top ten.
The warning is about people. Banks in MEA employ an average of 316 AI professionals, compared with 1,763 at the global peers Evident tracks. And the gap that matters most isn't raw headcount — it's the small group of people who can bridge technology, risk, regulation and business operations. Those are the people who turn an AI tool into a governed, scaled, revenue-generating capability, and every major bank in the world is competing for them.
Evident's view is that Gulf banks have a narrow, valuable window — 'definitely on this side of 2030' — to build a durable lead before AI capability becomes evenly distributed. They can't control regional conflict or out-spend every rival on salaries, but they can compete on training, opportunity and smart access to talent. That is precisely where a regional workforce partner earns its place: reskilling the people a bank already has, and supplying specialist talent, compliantly, when and where it's needed.
Why it matters: The Gulf's banks have the strategy and the backing; what they lack is the people to scale and govern AI safely.
What to do: Don't try to out-bid New York and London on every hire. Reskill the risk, compliance and ops people you already have, and secure flexible, compliant access to specialists for builds and peaks — so your AI plan isn't capped by your hiring pipeline.
The UAE sets the AI rulebook for finance
UAE banks and insurers now have a clear expectation from the regulator: deploy AI, but govern it — with the board accountable and a human a customer can always reach.
5 — core principles UAE banks must now build into every AI system (Central Bank of the UAE)
As AI spreads through Gulf banking, the regulator has set the guardrails. The Central Bank of the UAE's guidance applies to every licensed financial institution and turns 'responsible AI' into specific rules — with the board and senior management accountable for AI outcomes.
The consumer-facing requirements are the sharpest. AI must not produce discriminatory or manipulative outcomes. Firms must be transparent about where and how they use it. And a customer can request a human review or explanation of an AI-generated decision — with an alternative route if they don't want to be subject to an AI decision at all. The UAE is not alone here: the guidance arrived alongside similar moves from the US Treasury, the European Central Bank, the Reserve Bank of India, and Qatar's and Jordan's central banks.
For leaders the practical message is to build governance in, not bolt it on. That means naming who owns AI risk at board level, keeping audit trails of models and decisions, designing a human-in-the-loop path customers can actually use, and testing for bias before a model goes live. Done early, this is far cheaper than retrofitting it after a regulator or a customer complaint — and it's fast becoming the baseline for operating at all.
Why it matters: Governance in finance is no longer optional. Without explainability, a human in the loop and a documented framework, you're now offside.
What to do: Stand up a documented AI governance framework now: name board-level ownership, log every model and its decisions, build a human-review path for customers, and test for bias before launch — not after a complaint.
Source: The National — UAE Central Bank issues new guidelines on the use of AI in financial sector
AI agents & your workforce
How to keep your Arabic and English documents in sync when AI speeds everything up
UAE and KSA banks and insurers run on two languages and a strict rulebook. As AI churns out more disclosures, customer letters and policy documents, keeping the Arabic and English versions accurate — and correctly laid out — is what slows you down. Here's how to keep both in step.
Five steps to bilingual documents that keep pace with AI
- List what must exist in both languages. Map your disclosures, terms, customer letters, policy documents and regulator submissions — so nothing slips through in one language only.
- Translate meaning, not just words. Financial and legal terms need an AI agent trained on the domain, not a generic tool that translates word by word.
- Keep the layout intact. Tables, charts and headers must rebuild correctly in right-to-left Arabic. A tool like TASC Translate does this in one step.
- Put a human on anything customer-facing. A person reviews and signs off every customer or regulatory document before it goes out — that's now the regulator's expectation too.
- Version both languages together. When the English changes, update the Arabic the same day so the two never drift apart.
When AI speeds up your output, bilingual accuracy is what holds you back. Fix it once and you can move fast without the compliance risk.
How to close your bank's AI talent gap without losing the bidding war
The people who can scale and govern AI are scarce, and global banks are bidding hard for them. Here's how to get the talent you need without betting everything on hiring.
Five steps to the AI talent you actually need
- Find the real shortage. It's rarely just coders. It's people who can bridge technology, risk, regulation and the business — and they're the hardest to hire.
- Reskill the people you have. Train your risk, compliance and ops staff to supervise and govern agents, not just use them.
- Pick the few roles you must own. Hire for those, and don't try to out-bid global banks on every single seat.
- Bring in specialists on demand. Use flexible, compliant access to AI and governance experts for builds and peaks, then release them when the need passes.
- Make governance a skill, not a department. Every team running an agent needs someone accountable for it — build that into the role, not a separate silo.
You can't hire your way out of this alone. Mix reskilling with flexible specialist access and you move at the speed of your AI plan, not your hiring pipeline.
The Banking Leader's AI Playbook
Playbook. Almost every bank and insurer now uses AI — but only a few turn it into real value, and the Gulf is short of the people to scale it safely. This six-step playbook walks bank and insurance leaders in the UAE and KSA from AI pilots to governed, scaled, value-generating AI: where to start, how to clear the data and legacy hurdles, how to meet the UAE Central Bank's governance bar, and how to win the talent race without out-bidding everyone. Written for the C-suite, Directors and VPs running BFSI in the region.
Spotlight: AI Translation with Document Reformatting
TASC Translate. TASC Translate uses custom AI agents to translate English ⇄ Arabic and rebuild your whole document for right-to-left — tables, charts, headers and layout, all in one step. Works on DOCX, PDFs and PPT up to 50MB. Built for the bilingual, highly regulated documents that banks and insurers produce every day.
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