GCC's AI Training Gap: 82% Use AI Weekly But 1 in 4 Has Never Been Trained
By Tim Kreling, Co-Founder, OVI
The Gulf's AI revolution has a blind spot — and it is not adoption.
A sweeping new study from Al-Futtaim Group, conducted in partnership with IBM, Microsoft, and Inception42 (a G42 company), surveyed 1,143 professionals across six GCC markets and found that 82% of Gulf workers already use AI on a weekly basis (Al-Futtaim "Unlocking AI for the GCC Workforce," October 2026 — Khaleej Times). The tools are deployed. The budgets have been approved. But only 39% of those workers feel highly confident using the technology their employers handed them.
The culprit is not resistance, complexity, or cost. It is training — or, more precisely, its absence. One in four GCC employees has never received any formal AI training from their employer (Al-Futtaim, October 2026 — TechItUpMe). For HR leaders across the Gulf, the message is blunt: you rolled out AI at scale but forgot to teach people how to use it.
The Usage-Confidence Disconnect
The Al-Futtaim white paper, released on October 23, 2026, paints a region where AI has become embedded in daily workflows far faster than the skills infrastructure can support. With 82% of respondents reporting weekly AI use across roles and industries, the GCC has reached adoption rates that most global markets are still working toward.
Yet confidence tells a different story. Only 39% of those surveyed describe themselves as highly confident AI users (Al-Futtaim, October 2026 — Khaleej Times). That 43-percentage-point gap between usage and confidence is not a curiosity — it is an operational risk. Workers who use tools they do not understand produce inconsistent outputs, miss productivity gains, and create compliance exposure that compounds over time.
The problem is structural. Just 20% of GCC employees received extensive AI training from their employers, while a full 25% received none at all (Al-Futtaim, October 2026 — TechItUpMe). The remaining majority sits somewhere in between — perhaps a webinar here, a vendor demo there — but nothing approaching the depth required to move from basic prompting to genuine fluency.
This is not unique to the Gulf, but the scale of the problem is. A Korn Ferry survey of 105 GCC CHROs published in Q1 2026 found that while 93% of Gulf organisations are exploring AI, only 1% consider themselves ready to scale it (Korn Ferry — People Matters Global, Q1 2026). The exploration is happening. The enablement is not.
Training Is the Single Biggest Lever
The most striking finding in the Al-Futtaim study is the confidence multiplier: employees who received extensive AI training are 2.5 times more confident than their untrained peers (Al-Futtaim, October 2026 — Khaleej Times). No other variable in the dataset — role seniority, industry, age, or organisation size — produced an effect of comparable magnitude.
That 2.5x multiplier is not abstract. Confident users are productive users. The same study found that 73% of regular AI users report tangible productivity gains — but those gains materialise only when workers have the training to move beyond surface-level interactions with AI tools (Al-Futtaim, October 2026 — TechItUpMe).
The financial stakes reinforce the point. PwC's 2026 Global AI Jobs Barometer found that in the UAE, workers with verified AI skills command a wage premium of up to 92% in financial services (PwC 2026 — Gulf News). For individual employees, the training gap is not just an engagement issue — it is a real financial loss measured in foregone earnings. For employers, it means the talent they are paying market rates for is operating well below its potential.
Who Gets Left Behind
The training deficit does not fall evenly. Nearly half of professionals aged 45 and older received no formal AI training from their employer, compared to significantly higher training rates among younger cohorts (Al-Futtaim, October 2026 — Khaleej Times). These are often the most experienced, highest-paid employees in the organisation — managers and directors whose decisions carry outsized impact. Leaving them without AI fluency is not a demographic footnote; it is a strategic liability.
Leadership behaviour compounds the problem — or solves it. The Al-Futtaim study found that organisations where senior leaders actively use AI see 3x higher adoption rates across the workforce (Al-Futtaim, October 2026 — TechItUpMe). When the C-suite delegates AI to junior staff and skips its own upskilling, the rest of the organisation gets the message.
Security concerns also persist at every level. One in three respondents cited data security as their primary concern about AI use, regardless of role, seniority, or age (Al-Futtaim, October 2026 — Khaleej Times). Without structured training that addresses responsible AI use and data governance, those concerns fester into quiet non-adoption or, worse, unsanctioned workarounds.
Yet despite this environment, only 3% of GCC organisations give HR primary ownership of AI strategy, according to Korn Ferry's CHRO survey (Korn Ferry — People Matters Global, Q1 2026). The function best positioned to design and deliver workforce training at scale is largely cut out of the conversation.
What HR Must Do Now
The Al-Futtaim data makes the prescription clear. GCC employers do not need more AI tools — they need to invest in the people using them. HR leaders should focus on four priorities:
1. Make AI training mandatory, not optional. The 25% who received zero training represent a policy failure, not a resourcing constraint. Structured AI literacy programmes — covering prompt engineering, data governance, and domain-specific applications — should be as standard as compliance training.
2. Prioritise experienced professionals. With nearly half of workers over 45 untrained, HR must design learning pathways that respect their expertise while building AI fluency. Age-segmented cohorts, executive workshops, and peer coaching models can close the gap without alienating senior staff.
3. Get senior leaders using AI visibly. The 3x adoption multiplier from leadership engagement is too large to ignore. CHROs should partner with the C-suite to embed AI use into leadership routines — not as a mandate, but as a demonstrated practice.
4. Own the AI enablement agenda. With only 3% of GCC organisations giving HR primary AI ownership, there is an opening for CHROs to claim the function's natural role in workforce development. Training, change management, and skills assessment are HR competencies — apply them to AI.
Screening for AI Fluency in a Training-Starved Market
GCC employers who underinvest in AI training now face a second, compounding problem: hiring talent that claims AI proficiency but lacks real fluency. When 25% of the workforce has never been trained and self-reported confidence runs far ahead of demonstrated capability, traditional CV keywords and interview self-assessments become unreliable signals. AI-native screening tools like OVI address this directly — OVI's Milo agent uses a configurable scoring rubric during audio-only screening to evaluate actual AI capability against role-specific criteria, helping recruiters distinguish genuine fluency from surface-level familiarity before a human interviewer spends time on the candidate.
What did the Al-Futtaim GCC AI workforce study find?
The October 2026 study surveyed 1,143 professionals across six GCC markets and found that 82% use AI weekly, but only 39% feel highly confident. One in four employees has never received formal AI training from their employer, and extensive training delivers a 2.5x confidence multiplier.
Why is there a gap between AI usage and confidence in the GCC?
The gap exists because employers deployed AI tools at scale without matching investment in training. Only 20% of GCC employees received extensive AI training, while 25% received none at all. Without structured upskilling, workers use tools they do not fully understand, resulting in low confidence despite high usage rates.
How does AI training affect employee confidence and productivity?
According to the Al-Futtaim study, employees who received extensive AI training are 2.5 times more confident than untrained peers. Separately, 73% of regular AI users report productivity gains — but those gains depend on having adequate training to move beyond basic AI interactions.
Which GCC workers are most affected by the AI training gap?
Workers aged 45 and older are disproportionately affected — nearly half received no formal AI training. These tend to be experienced managers and directors whose decisions carry significant organisational impact, making their lack of AI fluency a strategic liability.
What should HR leaders do to close the GCC AI training gap?
HR leaders should make AI training mandatory across all levels, design targeted programmes for experienced professionals over 45, ensure senior leaders visibly use AI to drive the 3x adoption multiplier, and claim primary ownership of the organisation's AI enablement agenda.