AI location strategist
↑foundit projects India's capability centres past 510,452 roles in 2026 with 64% needing AI or data skills. Deciding which of those roles the map sends where is now a discipline.
Named foundit
The index exists because the question changed. For twenty years the location decision was a cost decision, and the rankings that mattered measured wage and scale. AI-enabled work asks something else: can this place do the work, deliver it at trust, and keep doing it economically? So we scored nineteen economies on four pillars -- outsourcing competitiveness weighted at 50%, and AI capability, workforce economics and business environment at roughly 17% each -- from public data anyone can check: the IMF's AI preparedness scores, World Bank services-export figures, EF's English index, WIPO's innovation index, Ookla's broadband.
India finishes first, at 75.4. It tops the outsourcing pillar outright, on about $163 billion in ICT service exports, an order of magnitude above any other emerging market in the set, and it tops the workforce pillar too, on English, cost and the largest young talent pool in the panel. Weight the index for the decision its name describes -- where global work is delivered -- and India is the destination. The Philippines follows at 68.7, then the central European hubs of Romania and Poland.
The honest complication is where the lead comes from. India sits first on delivery and only mid-table on AI capability, at 0.49 against Malaysia and the UAE at 0.63, and we publish the capability-weighted view as our sensitivity case: raise AI capability to 40% and India drops to fourth, behind Malaysia. That is not a hedge buried in a footnote. India's delivery lead is real, and its preparedness gap is also real, and an index that hid either would be a marketing page, not a measurement. The crown rests on scale. Scale is defended by capability.
The sensitivity table carries the argument in public. India is first under four of the five weighting schemes we ran, and drops out of first only when AI capability is weighted above the work itself. Malaysia is first only under that capability-heavy scheme. So the reading is not that India wins or loses; it is that India owns the delivery of AI-enabled work today, and holds it exactly as long as the preparedness gap to the frontier hubs does not widen.
India, on the opportunity index we built. It leads the 50%-weighted delivery pillar; weight AI capability heavily and it places fourth.
We scored nineteen economies on where AI-enabled work will actually be created and delivered, weighting outsourcing competitiveness at 50% and AI capability, workforce economics and business environment at roughly 17% each: India finishes first at 75.4, ahead of the Philippines at 68.7 and the central European hubs, because it leads the delivery pillar outright -- yet on AI capability alone it sits mid-table at 0.49, and the moment that pillar is weighted heavily the index drops India to fourth behind Malaysia.
Printed, not charted. These figures are not measured the same way, on any of the four counts that would let them share a scale. Drawing them together would suggest a comparison the sources do not support, so the numbers are set out instead.
India
Malaysia
UAE
Cost arbitrage was a single-variable game, and India held the best hand: enough English-speaking graduates at a low enough wage to absorb whatever the West sent. The migration matrix inside the index shows that game evolving rather than ending. Score each work-type on the pillars that actually drive it, and the destination splits: software engineering and cybersecurity, which lean on capability and infrastructure, tilt toward Malaysia and the CEE hubs; finance, customer support and AI data operations, which lean on English, cost and scale, stay firmly with India.
This is why a single league table misleads even when it crowns the obvious winner. India leads our matrix for customer support at 74 and finance and accounting at 72, and ties the lead on AI data operations and knowledge-process work. Malaysia tops software engineering at 74 and cybersecurity at 78. A buyer who reads only the composite rank sends the wrong work to the wrong place. A buyer who reads the matrix sends each function to the hub whose pillars fit it, and discovers that even the number-one country is not number one for every job.
The Gulf is the clearest sign that the variable changed. On a pure supply-readiness ranking the Gulf does not appear -- it has neither the wage nor the scale -- which is why the broker index that led the trade press last week has no Gulf country in its top 25. On an opportunity index the UAE places seventh, because AI-enabled work rewards the capability and the trusted environment the Gulf has bought, even as an outsourcing-weighted composite ranks it below the delivery hubs it cannot match on labour. The old map could not render the Gulf. The new one has to.
The shift for this magazine's readers is a planning discipline, not a headline. The next delivery-location decision is not one bet on one country; it is a portfolio sorted by work-type, priced on capability as much as cost, and read against the specific column that governs the work in front of you. The spreadsheet grew three columns. The teams that still sort by the first one will lose the work that the other three now decide.
For two decades outsourcing was a single-destination story told in cost per seat, and India won it; AI-enabled work reprices the decision, rewarding capability, English, infrastructure and trust alongside wage, and the index shows the field fragmenting -- India still first on delivery scale, the Philippines and the central European hubs closing on capability, and a Gulf the old rankings could not even see surfacing on exactly the pillars it leads.
The counterargument deserves its weight: if India is first on our index, first on every readiness ranking, first on the broker index and first in every trade-press headline, why hedge at all? Call it the clear winner and move on. On this reading the capability caveat is a technicality, and the delivery scale that puts India on top is exactly the thing that matters.
The reply is that the caveat is the value. India's first place is a delivery result, earned on the 50% outsourcing weight, and it sits on an AI-preparedness score that is only mid-table; weight capability the way AI-enabled work increasingly demands and the same data drops India to fourth. That gap is not noise. It is the difference between a lead you hold by inertia and one you defend by investment, and a board siting a decade-long hub is buying the second, not the first. The index refuses to let the headline rank stand in for the pillar that governs the risk.
For boards in Mumbai, Dubai and Nairobi the practical edge is the same one the whole issue argues. Do not read the composite; read the pillar and the work-type that govern your decision. India defends its delivery crown by closing the capability gap the challengers are attacking. The Gulf plays the capability hand it holds and stops pretending it will win volume. Africa buys the infrastructure and preparedness that turn a cheap workforce into a durable one. The map is being redrawn while the old rankings are still being quoted, and prepared is a choice you make before the redraw is common knowledge.
India tops the index, and the index says why in its own numbers: the lead is built on delivery scale, not AI capability, where India is mid-table and would place fourth. The Gulf leads capability and cannot staff the volume; the Philippines and the central European hubs are closing from the other direction. AI-enabled work will not pile into one country; it will sort by work-type across a widening field. Read the right column, not the headline rank.
The layoff panel this issue is an India split-screen, because that is where the composition shift the index reads is happening in public. TCS added 9,279 net in the June quarter, its biggest addition in about four years; HCLTech cut 3,292 net the same fortnight, while booking a record $2.407 billion and growing Advanced AI revenue 62% year on year. The headcount line moved in opposite directions at two firms selling the same thing. The reconciliation is the composition: senior and AI-adjacent roles up, the entry rung traded, exactly the preparedness-versus-scale tension that puts India first on delivery and only mid-table on capability.
Every rising role this issue sits in the seam the index opens. Someone has to decide where each work-type lands now that even the top-ranked country is not top for every job -- the AI location strategist. Someone has to build delivery capacity as headcount falls -- the delivery-capability architect. Someone has to read whose index says what, as brokers and institutions publish competing rankings with competing interests -- the index and benchmark analyst. None of these existed as titles two years ago; all of them are hiring signals now.
The move for an individual is unchanged from the magazine's standing advice, sharpened by the map. If your work produces output an agent can produce, go one layer up, toward the judgement the machine still needs. And choose the layer with an eye on the column: the capability work concentrates in the frontier hubs, the volume work stays where English and scale live, and the person who can name which column their role sits in is the person who can move before it is repriced under them.
6 rising role categories, each with a sourced hiring signal.
foundit projects India's capability centres past 510,452 roles in 2026 with 64% needing AI or data skills. Deciding which of those roles the map sends where is now a discipline.
Named foundit
HCLTech booked a record $2.407 billion while cutting 3,292 net roles. Building AI delivery capacity without adding headcount is a design job.
Named HCLTech
PwC counts 77 new skills in the UAE's most AI-exposed roles against 22 in the least. Steering who fills them is a Gulf mandate, not an afterthought.
Named PwC
Ataraxis, an outsourcing broker, published a readiness ranking that put India first. Reading whose index says what, and why, is a board-level skill.
Named Ataraxis
OpenAI ran GPT-5.6 through a government review before its public release. Enterprises now need someone tracking which models ship gated, and when.
Named OpenAI
Hotpack says routine coordination and reporting are now done by technology faster and cheaper. Redesigning the junior rung it thins is a role someone must own.
Named Hotpack
Printed, not charted. These figures are not measured the same way, on any of the four counts that would let them share a scale. Drawing them together would suggest a comparison the sources do not support, so the numbers are set out instead.
Prev week (w/e 10 Jul)
This week (w/e 17 Jul)
This week's signal through the India, Middle East and Africa lens.
ACCELERATING
Signal
India tops the index at 75.4, first on the Outsourcing pillar we weight at 87 and first on Workforce at 75. But the crown rests on delivery scale. On AI Capability, built on the IMF preparedness score where India sits at 0.49, it is mid-table, and the moment that pillar is weighted heavily the index drops India to fourth behind Malaysia and the central European hubs. foundit's 510,452 capability-centre roles, 64% of them demanding AI or data skills, are the delivery machine; the gap the index exposes is preparedness, and the Philippines, Romania and Poland are closing on it. The work is India's to lose. The moat is delivery, and it is defended by capability, not cost.
EMERGING
Signal
The Gulf is the case the opportunity lens rescues. Supply-readiness rankings erase it, with no Gulf country in the Ataraxis top 25, yet on our index the UAE places seventh and leads on AI Capability at 99 and Business Environment at 100, and Saudi Arabia ranks fourteenth. What the Gulf lacks is labour economics: the UAE scores 14 of 100 on Workforce, punished by a small and expensive population, which is why an outsourcing-weighted composite ranks it below the delivery hubs. The Gulf will not win volume outsourcing. It can win the high-capability, high-trust mandates, and it has the sovereign levers to steer who delivers them.
EMERGING
Signal
Africa arrives with the workforce and not yet the capability. South Africa leads the continent on the index in ninth, and Kenya, Nigeria and Ghana all score high on Workforce economics, young, low-cost, English-capable populations, but the AI Capability and Business Environment pillars throttle them: Nigeria posts the panel's lowest preparedness score, Kenya its slowest broadband at 16 Mbps. Eight African countries made the Ataraxis readiness top 25; our index says the rung is buildable but capped by infrastructure and preparedness, not by labour.
Short read · this week's signal across the nine sectors we cover
Software engineering is the most capability-weighted work in the migration matrix, where Malaysia at 74 and Poland edge India; the frontier hubs win the build, India wins the scale.
Finance and accounting is where India tops the matrix at 72; the volume knowledge work routes to the largest trusted delivery base, which is exactly what the outsourcing-weighted index rewards.
Customer support and back-office finance are India's matrix strongholds at 74 and 72; the Gulf's banks buy the capability they will not staff at volume.
Customer-service automation reroutes toward the highest Workforce-pillar hubs, India, the Philippines and Pakistan, where English and scale meet cost.
Knowledge-process work rewards English and trust; South Africa and the Philippines score for exactly the mix healthcare back-office needs.
Engineering services concentrate where AI capability and infrastructure align; the CEE hubs and Malaysia out-score the low-cost field on the pillar that matters here.
Support-heavy operations track the Workforce pillar; the reroute favours large, young labour pools over frontier capability.
The migration shows up as delivery-centre floor space; the hubs that rise on the index are where the next leases sign.
Least exposed to the reroute this cycle; its AI demand is compute and infrastructure, not delivered services.
For Editor reAImagine · curated to this issue's signal · 90-day horizon
Why now
Whose index says what, and why, is now a board question, and the strategy lead becomes the index and benchmark analyst.
Do this
Why now
The migration matrix moves by work category, and the location planner becomes the AI location strategist.
Do this
Why now
Record bookings now ship on falling headcount, and the delivery manager becomes the delivery-capability architect.
Do this
Why now
Frontier models now ship through government gates, and the risk lead becomes the model-access risk officer.
Do this
Why now
AI is thinning the junior tier the index rewards, and the operations lead becomes the entry-rung redesign lead.
Do this
Last issue opened the scoring with a miss. This one scores a hit. Ledger 001-01 forecast that at least one more US frontier-model release would go through government pre-release review rather than open launch; GPT-5.6 did exactly that, one day before the resolve date. The claim is reproduced exactly as published, with the score and the honest complication beneath it. The prior miss stays on the record above it. Open entries carry forward with their dates, and Ledger 003 opens below them, extending the discipline to the index this issue is built on.
Anthropic's ID-verification policy takes effect and, whatever its stated intent, functions in practice as a citizenship-sorted access path: US consumers regain restricted-tier access first, with no announced parity path for Indian or GCC passport holders. Anthropic says the change is an unrelated appeals update; we forecast the observable outcome and will score it.
Scored 9 July 2026. Fable 5 came back for every consumer on earth on the same day, 1 July, because the US Commerce Department lifted the export controls on 30 June. The restoration ran through diplomacy, not identity checks, and it landed a week before the ID policy took effect on 8 July. The policy itself verifies identity and age for flagged consumer accounts, carries no nationality component at all, and exempts Team, Enterprise and API customers. The disconfirming evidence we carried inside the entry, Anthropic's statement that this was an unrelated appeals update, held up better than our forecast did. The one US-first pattern that did appear, Mythos 5 returning on 26 June for a government-approved list of US organisations, ran through a different mechanism than the one we named, and a forecast does not get credit for a different mechanism. To score this a hit we needed restricted access re-sorted by passport through the verification flow. It was not.
At least one further US frontier-model release goes through government pre-release review rather than open launch, extending the pattern already visible in June.
Scored 16 July 2026, a day early, because the pattern resolved ahead of the date. OpenAI previewed GPT-5.6 with the US government for about a month, released it on 26 June as a limited preview to around 20 government-approved organisations, and only opened it to the public on 9 July after a federal evaluation window under Executive Order 14409's voluntary pre-release framework. That is government pre-release review rather than open launch, exactly as forecast, and it extends the June pattern the claim named. The honest complication belongs on the record: the White House publicly denied giving any green light, approval or clearance, and EO 14409 explicitly bars mandatory licensing or preclearance. The claim required review, not approval; review demonstrably happened, so the hit stands on the wording as published. Counter-colour we did not lean on: Grok 4.5 launched openly on 8 July and Gemini 3.5 Pro was cleared unrestricted for 17 July, but the claim needed only one gated release, and GPT-5.6 was it.
At least one of TCS, Infosys, Wipro or HCLTech publicly announces a formal multi-model or sovereign-fallback architecture policy as strategy, not as a procurement footnote.
India's top four IT services firms, TCS, Infosys, Wipro and HCLTech, in aggregate add net headcount over FY27's first half, April to September 2026, while each scales AI-attributed revenue, confirming the reroute: the work returns offshore even as the Western rhetoric softens.
The first senior role explicitly titled for AI sovereignty or model continuity, distinct from CISO or Chief AI Officer, is publicly posted by a GCC entity or Gulf sovereign-linked employer.
At least one multinational publicly names the Philippines, Romania or Poland, India's closest challengers on this index, as the lead location for a new AI-delivery or engineering hub, chosen over India, in a 2026 announcement.
On the next annual refresh of this index, India retains first place on the outsourcing-led composite while staying outside the top three on the capability-weighted view, confirming that its lead rests on delivery scale rather than AI preparedness.
At least one company that attributed 2026 layoffs to AI is publicly reported to have rebuilt the same function in India, the Gulf or Africa, directly or through a capability centre or outsourcing partner, within twelve months of the cut.
A Gulf sovereign-linked or government entity publicly launches an initiative to position the UAE or Saudi Arabia as an AI-work delivery hub, not only a buyer or funder of AI, consistent with the capability-strong, labour-light profile the index assigns the Gulf.
Accenture's new bookings decline year on year again, confirming the June repricing as structural rather than sentiment.
Challenger's AI-attributed US job-cut count for the second half of 2026 exceeds the first half's 101,743, despite the softened executive rhetoric. The narrative and the number diverge further, not less.
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