ADNOC's AiPSO Rollout With SLB Is the UAE Energy Sector's Most Aggressive AI Bet of 2026
ADNOC has moved past the pilot phase on upstream AI. The AiPSO platform, the AI-powered production system optimisation stack built with SLB and Cognite, is now the Emirati oil and gas operator's most aggressive AI deployment of 2026. First signed in November 2025 and scaling through 2026, AiPSO is being rolled out across all 25 onshore and offshore fields at ADNOC, with an initial deployment across eight fields. The platform accelerates subsurface and production decisions from days to minutes, and it is the most tangible sign yet that UAE energy AI has left the slideware phase.
Energy AI for Energy, the Microsoft deal is the backbone
Behind AiPSO sits a broader structural deal. In November 2025, ADNOC, Masdar, and the recently-separated XRG entity signed a strategic agreement with Microsoft on an Energy for AI, AI for Energy framework. The structure is simple. Masdar supplies low-carbon power to Microsoft's global data centres, while Microsoft-hosted AI services are used to optimise ADNOC operations. That arrangement is the reason the compute-side of AiPSO has scaled so quickly. ADNOC does not have to build its own hyperscale stack from scratch.
The XRG side of the deal is the piece many analysts are still underpricing. XRG is ADNOC's new international investment vehicle, aimed at global energy and industrial AI plays. Tying XRG into the Microsoft framework gives ADNOC's international portfolio direct access to the same AI tooling that is being used at home.
The AiPSO platform is an example of SLB's ambition to combine artificial intelligence and domain expertise to drive improvements in production and recovery.
By The Numbers
- 25 onshore and offshore fields covered by AiPSO's full rollout, targeted by 2027
- 8 fields deployed in the initial phase
- $500 million value generated from ADNOC's CPAD predictive analytics programme by early 2026
- $3.6 billion TAQA-ADNOC offshore electrification project reducing offshore carbon footprint by 30%+
- 5 years ahead, the forecast horizon of the AIQ Emission X carbon-prediction tool
ENERGYai is no longer just subsurface
ENERGYai, ADNOC's internal AI platform, began life as a subsurface analytics layer. In 2026 it is expanding into drilling, production, downstream, and trading. That expansion is supported by a zero-trust data governance framework and organisational restructuring inside ADNOC to consolidate AI teams. The significance is that ADNOC is now treating AI as a horizontal capability across the full energy value chain, not a verticalised pilot inside a single function.
Three flagship pieces sit inside this expansion. First, CPAD (Centralized Predictive Analytics and Diagnostics), ADNOC's AI-driven predictive maintenance programme, has generated around $500 million in value by early 2026 through reduced unplanned shutdowns and streamlined maintenance scheduling. Second, AIQ, ADNOC's joint venture with G42, has delivered Emission X, a carbon-capture and emissions-prediction AI that forecasts emission sources up to five years ahead against near-zero-methane-2030 and net-zero-2045 targets. Third, AiPSO itself, scaling from eight to twenty-five fields.
Global energy demand driven by artificial intelligence and data centres will continue to rely heavily on hydrocarbons, even as renewable capacity expands.
TAQA's offshore electrification is the quiet enabler
TAQA and ADNOC's $3.6 billion offshore electrification project, initiated in 2021 and flowing through into 2026 operational impacts, is the piece that makes the rest of the AI agenda technically achievable. Using subsea transmission to electrify offshore operations reduces the offshore carbon footprint by more than 30%, and it creates the clean-baseload profile that makes AI-optimised low-carbon power supply contracts commercially credible. Without that, a low-carbon Microsoft data-centre supply deal is harder to justify.
| Initiative | Partner(s) | Scope |
|---|---|---|
| AiPSO | SLB, Cognite | Production optimisation across 25 fields |
| ENERGYai | Internal + hyperscalers | Subsurface, drilling, downstream, trading |
| CPAD | Internal | Predictive maintenance ($500M value) |
| Emission X | AIQ / G42 | Carbon forecasting five years out |
| Energy for AI, AI for Energy | ADNOC, Masdar, XRG, Microsoft | Power-for-AI, AI-for-ops swap |
| Offshore electrification | TAQA + ADNOC | $3.6B, 30%+ offshore carbon reduction |
Why this matters beyond the UAE
ADNOC's moves are setting the template that other Gulf energy majors will follow. Aramco's ten AI initiatives and Microsoft partnership is the Saudi parallel. QatarEnergy's LNG-for-AI data-centre bet is the Qatari angle. Between these three, the Gulf energy complex is effectively rewiring itself around AI, and Microsoft is the common hyperscale partner across all three. That concentration has regulatory and sovereignty implications regional policymakers are starting to address through the SDAIA-led MENA AI harmonisation work.
Three moves that would confirm scale-up in 2026
- Public AiPSO production uplift numbers field by field, published by ADNOC
- A first XRG-led international AI-enabled energy investment using the ENERGYai stack
- Data on Emission X forecasting accuracy against actual emissions at named sites
Risks and what ADNOC is not saying
The public narrative emphasises value generation. What is being said less is that scaling AI across 25 fields requires a commensurate data engineering and governance lift. Zero-trust frameworks help, but data quality remains the practical bottleneck in any oil-and-gas AI programme. The second risk is talent, where Emiratisation targets and AI recruiting intersect. The third is commercial, with Microsoft, SLB, Cognite, and G42 all holding significant intellectual property positions inside the ADNOC AI stack.