← back to rankingWFRD · Weatherford International plc
Oil & Gas Equipment & Services · mkt cap $7.5B · calls: Q1 FY2026 vs Q4 FY2025
40.0 conviction · conf-adj 40
conf –
enthusiasm:15.0 · trend:8 · quantifies:0 · impact:0 · under_radar:14 · credibility:0 · business_impact:4 · disruption:0 · commitment:-4 · confirmation:3
Enthusiasm latest 5 / prev 4 (rising)
Weatherford's AI story across both calls is narrowly internal: AI is framed as a cost-productivity and working-capital lever alongside shared services, digital platforms, and ERP—not as a customer-facing revenue driver. Enthusiasm is measured and rising only modestly; Q1 adds a concrete deployed inventory-reuse AI tool, while Q4 emphasized future ERP "AI enablement." Management never attaches a dollar figure, margin point, or revenue/bookings number specifically to AI, so the thesis rests on qualitative efficiency claims tied to the 50% through-cycle free cash flow conversion goal.
PAST (realized)
- Q1 FY2026 — Anuj Dhruv: We have seen the impact of these cost actions in the first quarter, and they have helped partially offset the impact of revenue decrementals, pricing pressure, geopolitical conflict in the Middle East and the Argentina divestiture impact. [cost actions include leveraging artificial intelligence per prepared remarks]
- Q1 FY2026 — Anuj Dhruv: We've recently deployed an AI tool that allows us to look at inventory that might be sitting idle in a plant and allows us to use it in similar or other locations before a similar process.
- Q4 FY2025 — Anuj Dhruv: We have seen the impact of these cost actions over the course of the year, and they have helped partially offset the impact of margin decrementals, tariff-driven dilution and the divestiture impact. [cost actions include leveraging artificial intelligence per prepared remarks]
CURRENT (now)
- Q1 FY2026 — Anuj Dhruv: Second, we are maximizing the productivity of the current cost base by leveraging shared services, digital platforms, in artificial intelligence to enhance efficiency and margin performance.
- Q1 FY2026 — Anuj Dhruv: And a few of the tools I mentioned before with regards to automation using artificial intelligence, are key really for us to go and chase things on the AR, AP and inventory side.
- Q4 FY2025 — Anuj Dhruv: Second, we are maximizing the productivity of the current cost base by leveraging shared services, digital platforms and artificial intelligence to enhance efficiency and margin performance.
- Q4 FY2025 — Girish Saligram: Production optimization, for example, that really gets enabled through our digital business. That's something that's a huge focus for us, and we think will become even more important in this North America landscape
FORWARD (guidance)
- Q1 FY2026 — Anuj Dhruv: And so this allows us to reuse inventory that otherwise might have been potentially obsolete. [describes ongoing benefit of deployed AI inventory tool]
- Q1 FY2026 — Anuj Dhruv: And so this is our initial target. It's not an aspirational target. This is our initial target. My aspirational target is well above 50%. [50% FCF conversion target linked to AI/automation tools for AR, AP, inventory]
- Q4 FY2025 — Girish Saligram: one of the most significant changes is our new ERP system, and this is going to give us a degree of automation in our processes, AI enablement truly seamless integration that we have never had before in the company to data transparency, et cetera.
TRACK RECORD — PROMISE vs DELIVERY
—/100 (no quantified promises) no-quantified-promises 6 calls reviewed
Across Q4 FY2024–Q1 FY2026, management cites AI, generative AI, automation, and intelligent/digital products mainly as enablers of multiyear cost, ERP, and cash-efficiency programs, but never states a dated numeric AI target (no AI revenue, savings %, deployment, or productivity KPI with a milestone). Financial goals such as ~50% FCF conversion and 25% net working capital are quantified but not framed as measurable AI deliverables, so AI promise-vs-delivery cannot be scored on this transcript set.
PRICED-IN (REFINED)
LOW (room left)Est. revisions falling · Fwd P/E 15.0 · EV/Sales 1.7x
AI claim maps to Service
Forward consensus cuts FY2025 revenue (~−12%) and EPS (~−20%) versus FY2024 despite only modest grade migration (strong buys 3→4, strong sells 1→0); recent price-target activity is absent, so revisions are not being raised into the story. At ~15x forward P/E and ~1.7x EV/Sales, multiples look like a normal OFS name, not an AI premium. AI-driven efficiency/revenue would most plausibly hit the Service line (~$3.0B), where estimates are not being revised up—so AI upside does not look baked into numbers or valuation.
COVERAGE — ENTHUSIASM TRAJECTORY + CATALYSTS
3Q4 FY20243Q1 FY20253Q2 FY20255Q3 FY20253Q4 FY20253Q1 FY2026
AI enthusiasm across 6 calls — trend → flat
Digital story peaked at FWRD 2025 with Intelligent Completions; other calls stress margins, contracts, and conventional oilfield tech.
RECENT AI CATALYSTS & NEWS
BUSINESS IMPACT - QUALITATIVE MATERIALITY
5/10 qualitative impact moderate medium-term · soft evidence
Where AI matters: internal cost, working capital, inventory reuse
Management cites one deployed AI inventory-redeployment tool plus future ERP AI enablement tied qualitatively to margin and 50% FCF conversion, with no AI-specific revenue, savings, or margin quantification.
Caveats: Benefits are unquantified despite linkage to multiyear FCF and NWC targets; Digital/production-optimization upside is discussed separately and may not scale with internal AI tools; Longer term, customer-owned AI could compress value of packaged analytics and optimization software
AI DISRUPTION / CANNIBALIZATION RISK tailwind · 2/10
WFRD earns on physical downhole equipment and field services in safety-critical wells; GenAI does not automate rig-side execution or tool pull, and disclosed AI is internal efficiency rather than a billable-hours model AI deflates.
OPTIONS / MARKET STRUCTURE
option liquidity: fair
proxy inputs — dollar-ADV $142M · beta 0.916 · px $103.44
source: proxy (no options chain on FMP)
FMP /stable/ exposes no options-chain endpoint on this key, so ATM IV, bid-ask spread and open interest are unavailable. Liquidity below is a PROXY from dollar-ADV, beta and price level (a stand-in for option depth), not measured option-market data.
CONFIRMATION — INSIDERS · 13F · LANGUAGE
Mixed — insiders selling, institutions adding, management language 3/10 hedged.
INSIDERS selling 8 open-market sell(s) vs 0 buy(s) — net distribution
INSTITUTIONS (13F) adding as of 2026-03-31: 86 new / 49 closed positions; 250 increased / 119 reduced; institutional ownership +2.23pp; +37 net 13F holders
MGMT LANGUAGE 3/10 hedged One brief AI line bundled with cost cuts; no AI metrics or isolated results.
commit “we are maximizing the productivity of the current cost base by leveraging shared services, digital platforms, in artificial intelligence to enhance efficiency and margin performance”
commit “We have seen the impact of these cost actions in the first quarter, and they have helped partially offset the impact”
hedge “in artificial intelligence to enhance efficiency and margin performance”
VERBATIM AI QUOTES
“Second, we are maximizing the productivity of the current cost base by leveraging shared services, digital platforms, in artificial intelligence to enhance efficiency and margin performance.”
— Anuj Dhruv, Q1 FY2026
“A few examples being do we insource, do we outsource? How do we use technology, how do we automate? How do we drive efficiencies? And it's not just saying what we're -- it's not just saying it's doing it.”
— Anuj Dhruv, Q1 FY2026
“And a few of the tools I mentioned before with regards to automation using artificial intelligence, are key really for us to go and chase things on the AR, AP and inventory side.”
— Anuj Dhruv, Q1 FY2026
“We've recently deployed an AI tool that allows us to look at inventory that might be sitting idle in a plant and allows us to use it in similar or other locations before a similar process.”
— Anuj Dhruv, Q1 FY2026
“And so this allows us to reuse inventory that otherwise might have been potentially obsolete.”
— Anuj Dhruv, Q1 FY2026
“Second, we are maximizing the productivity of the current cost base by leveraging shared services, digital platforms and artificial intelligence to enhance efficiency and margin performance.”
— Anuj Dhruv, Q4 FY2025
“one of the most significant changes is our new ERP system, and this is going to give us a degree of automation in our processes, AI enablement truly seamless integration that we have never had before in the company to data transparency, et cetera.”
— Girish Saligram, Q4 FY2025
“Production optimization, for example, that really gets enabled through our digital business. That's something that's a huge focus for us, and we think will become even more important in this North America landscape”
— Girish Saligram, Q4 FY2025
ANALYST QUESTIONS ON AI
Q (Q1 FY2026, Keith MacKey (RBC Capital Markets)): Just curious on that 50% through cycle targets, how aspirational of a target that is are the things that you've talked about, Girish, things that you have a very high degree of confidence we'll get you there? Or will there need to be additional things done to achieve that target over time?
A: Anuj Dhruv: tools including automation using artificial intelligence are key to chasing AR, AP and inventory; recently deployed an AI tool to redeploy idle plant inventory to other locations before reordering; these initiatives aim at driving working capital optimization toward the 50% free cash flow conversion target.
Q (Q4 FY2025, Ati Modak (Goldman Sachs)): Girish, you talked about transformational changes, gave some highlights also, but would love to hear more on the nature of the new initiatives? Is this something that could drive changes in revenue mix, portfolio mix over time as well, if you can give any more color?
A: Girish Saligram: new ERP system will give automation in processes, AI enablement, seamless integration, and data transparency; portfolio shifting toward new differentiated technologies; operating model remains focused on consistent margin improvement in a flat market.
Q (Q4 FY2025, Jim Rollyson (Raymond James)): Maybe just talk about how Weatherford is kind of positioned and how that has evolved over time. Your business model has evolved over time to maybe do better than a down mid- to high single digits revenues relative [indiscernible].
A: Girish Saligram: driving differentiation and innovation; digital business enables production optimization, a huge focus expected to become more important in North America; goal is higher-quality revenue with better EBITDA and cash contribution.