The most revealing number in AI finance is not the capex figure. It is how much the capex figure has moved.
Short answer: Wall Street's consensus for 2026 AI hyperscaler capex was $527 billion, up 86% from early estimates and since revised to $732.5 billion, 158% above forecasts issued two years earlier. Labs pay equity researchers to train models on exactly this kind of judgment under uncertainty.
Key takeaways
- Wall Street analysts' consensus estimate for AI hyperscaler capital spending in 2026 reached $527 billion, up from $465 billion at the start of the third-quarter earnings season, according.
- 112 live listings in this category publish a rate, at a median top-of-range of $120 an hour and a ceiling of $280.
- The work is remote contract work, asynchronous, with no set hours and no guaranteed volume.
- Applications screen on a short skills assessment rather than a resume or interview.
What was reported
The finding
Wall Street analysts' consensus estimate for AI hyperscaler capital spending in 2026 reached $527 billion, up from $465 billion at the start of the third-quarter earnings season, according to Goldman Sachs. By November 2025 the 2026 capex forecast had surged to $527 billion, an 86% increase over early estimates. Current guidance for 2026 capex of $732.5 billion is 158% higher than forecasts issued two years earlier. Goldman Sachs has separately forecast global AI investment exceeding $1 trillion in 2026. The five largest Wall Street banks reported $114 billion of capital markets revenue in the first six months of 2026, up 31.5% year over year.
Consensus for 2026 hyperscaler capital spending went from $465 billion to $527 billion inside a single earnings season, an 86% increase over early estimates. Current guidance of $732.5 billion sits 158% above forecasts issued two years earlier. Goldman Sachs separately forecasts global AI investment exceeding $1 trillion in 2026.
What the listings pay
Those revisions are not incompetence. They are what forecasting looks like when the underlying thing is changing faster than the model that describes it, and reasoning well under that uncertainty is a genuinely scarce skill.
| # | Role | Advertised rate | Platform |
|---|---|---|---|
| 1 | Investment & Finance Expert | $245 to $280 an hour | micro1 |
| 2 | Cybersecurity Research Expert, Offensive Security & Vulnerability Research | $200 to $250 an hour | Mercor |
| 3 | Senior Design Expert - Paid AI Design Research Study | $150 to $250 an hour | Mercor |
| 4 | Investment Banking Expert | $150 to $220 an hour | Dorado |
| 5 | Biotech Investment Analyst, Drug Asset & Company Assessment | $120 to $200 an hour | Mercor |
| 6 | AI Finance Domain Expert | $100 to $200 an hour | micro1 |
| 7 | Compensation & Equity Expert (Total Rewards) | $50 to $200 an hour | Mercor |
| 8 | Multilingual Primary Care Physician (MD): Clinical Documentation & AI Evaluation | $170 to $190 an hour | Mercor |
| 9 | Financial Analyst Talent Network | $60 to $180 an hour | Mercor |
| 10 | Investment Bankers | $175 to $175 an hour | Handshake AI |
Source: 112 live listings on this board that publish a rate, read directly from each posting on 2026-09-06. Listings without a published rate are excluded rather than estimated.
How this compares across the board
A rate only means something next to the alternatives. This is every category we track with at least five listings publishing a rate, ranked by median top-of-range, so you can see where this work sits rather than taking a single number on trust.
| Category | Listings | Median low | Median top | Highest |
|---|---|---|---|---|
| Legal | 95 | $100 | $140 | $400 |
| Medical | 68 | $77 | $120 | $400 |
| Consulting | 45 | $80 | $120 | $280 |
| Finance | 94 | $80 | $110 | $280 |
| Engineering | 114 | $70 | $100 | $300 |
| Research/PhD | 132 | $70 | $90 | $280 |
| Writing | 36 | $40 | $80 | $280 |
| Bilingual | 78 | $44 | $52 | $120 |
| Annotation | 25 | $12 | $24 | $120 |
Same source and date as above. Categories are matched on listing title, so a role can appear in more than one.
What it means for you
It is also precisely what AI labs need taught. A model that produces a valuation or a capex forecast that reads correctly and rests on a stale assumption is exactly the failure equity researchers are trained to catch. Across 112 live finance and research listings on our board that publish a rate, the median top-of-range is $120 an hour, reaching $280.
What equity research contributes that a model cannot
Financial models fail in a specific way. They produce output that is internally consistent, correctly formatted, and built on an assumption that stopped being true. Nothing in the output signals which assumption that was.
Equity researchers spend their careers on exactly this problem: identifying the load-bearing assumption in someone else's model and testing whether it still holds. That is a transferable judgment rather than a body of knowledge, which is why it is worth paying for by the hour.
The AI capex revisions are a live example. Anyone who took the early estimate at face value was 86% wrong within a year, and the people who caught it did so by questioning inputs rather than recomputing outputs.
The compliance step to take first
Financial services firms have among the strictest outside-business-activity policies of any industry, and they generally apply whether or not the outside work involves clients or securities.
Get written clearance from compliance before you start, not after. This is the most common way people in this sector create an avoidable problem for themselves, and the answer is often yes when asked properly in advance.
Never use employer material, models, or non-public information in the work. The listings want your judgment, which you own, not your firm's work product, which you do not.
Who should apply
Two checks before you spend time on an application. Confirm the role accepts applicants from your country with the eligibility checker, since a meaningful share of listings carry location requirements. Then run the advertised rate through the take-home calculator, because this is contract work and the headline figure is before self-employment tax.
Applications complete on the hiring platform and usually take a few minutes, with a short skills assessment in place of an interview. Fill in every credential, language and professional background field on your profile. Those are what route you to the better paid listings, and most applicants leave them blank.
Frequently asked questions
What is the $527 billion figure?
Wall Street's consensus estimate for AI hyperscaler capital spending in 2026, up from $465 billion at the start of the third-quarter earnings season.
Has that estimate changed?
Yes. Current guidance for 2026 capex of $732.5 billion is 158% higher than forecasts issued two years earlier, and Goldman Sachs forecasts global AI investment exceeding $1 trillion in 2026.
Why do labs want equity researchers?
Because financial models fail by producing internally consistent output resting on stale assumptions. Identifying the load-bearing assumption is the specific skill equity research trains.
What does this work pay?
Across 112 live finance and research listings publishing a rate, the median top-of-range is $120 an hour, reaching $280.
Do I need compliance approval?
If you work in financial services, almost certainly. Outside-business-activity policies usually apply regardless of whether clients or securities are involved. Get it in writing first.
Can I use my firm's models or research?
No. The listings want your judgment, not your employer's work product, and using non-public material would create a serious problem.
Is banking itself benefiting from AI?
The five largest Wall Street banks reported $114 billion of capital markets revenue in the first half of 2026, up 31.5% year over year, with AI a major driver.
Sources
See every live role
The full board updates several times a week, with the advertised rate on each listing and closed roles removed.