CAIA Emerging Topics: 2027 Reading Guide and Practice
The published 2027 CAIA Emerging Topics list spans generative AI, private-equity value creation, private-capital scale, pension-fund value creation, quantum computing, continuation funds, liquidity premiums and the CIO role. Use the assigned readings for your exam year, then analyze each claim and its evidence.
The eight published 2027 reading themes*
- 01Generative AI evolution
- 02Private-equity value creation
- 03Scale, scope and speed of private capital
- 04Value creation by pension funds
- 05Quantum computing
- 06Continuation funds for LPs and GPs
- 07The liquidity premium
- 08The CIO’s investment framework
The key decisions, at a glance
| Concept | What to do | Watch for |
|---|---|---|
| Identify the edition | Match the official required readings to the year you will sit. | Do not carry a previous reading list forward automatically. |
| Extract the claim | State what the author says changes and why. | A broad theme is not a testable mechanism. |
| Assess evidence | Separate empirical observations, assumptions and forecasts. | An example or backtest does not establish general causation. |
| Apply conditionally | Explain when the idea changes a portfolio decision. | Novelty alone does not prove investment value. |
1. Identify the edition
Match the official required readings to the year you will sit.
Watch for: Do not carry a previous reading list forward automatically.
2. Extract the claim
State what the author says changes and why.
Watch for: A broad theme is not a testable mechanism.
3. Assess evidence
Separate empirical observations, assumptions and forecasts.
Watch for: An example or backtest does not establish general causation.
4. Apply conditionally
Explain when the idea changes a portfolio decision.
Watch for: Novelty alone does not prove investment value.
Original worked case
Does tokenization solve a property fund’s liquidity problem?
Given: An illustrative article proposes a tokenized property fund. Transfers require eligible buyers; the underlying buildings take months to sell. This is a teaching case, not a claim about the assigned reading list.
01 Claim
The token may reduce transfer or recordkeeping friction.
02 Mechanism
Faster transfer infrastructure can help only when buyers and enforceable rights exist.
03 Limitation
The underlying property remains illiquid and eligibility still restricts the buyer pool.
Answer and interpretation
Separate operational efficiency from economic liquidity. The technology does not guarantee an exit at NAV.
Change one assumption
A deep secondary market could improve access to liquidity, but spreads, price discounts and market stress still require analysis.
Independent teaching example with the stated assumptions. Not an official exam question, marking key or observed market trend.
Understand the method
Part 1
Build a reading record from the official material
The public 2027 overview identifies eight Emerging Topics themes and says registered candidates access the readings through their CAIA account. The full required readings have not been reviewed for this page. Use the theme map above to organize study, then read the assigned material and companion objectives directly. Public background sources below provide context, not a replacement or an attributed summary of those readings.
For each assigned text, record its central claim, proposed mechanism, evidence, limitations and investment implication. Separate the author’s claim from your own inference. Add the page or section reference while reading so you can return to the evidence. A title can tell you the subject, but it cannot establish the author’s conclusions, definitions or examinable details.
Part 2
Study AI and quantum themes through use cases and failure modes
For an AI-related reading, identify the task being automated, the data required, the evaluation method and the consequences of an incorrect output. A useful investment-research application must be assessed for evidence quality, confidentiality, reproducibility and human review. Producing fluent text is not the same as producing a reliable financial conclusion. NIST’s public AI framework is background for thinking about such controls.
For quantum-related material, separate potential computational applications from cybersecurity transition. NIST’s August 2024 publication documents finalized post-quantum standards, which is evidence of preparation rather than proof that current public-key systems have already been broken at scale. In your reading notes, distinguish demonstrated capability, a research objective and a commercial forecast. Do not translate a technology headline directly into an investment-return prediction.
Part 3
Separate value creation, organisational scale and continuation choices
For private-equity value creation, ask whether the claimed improvement comes from operating cash flow, pricing, financing or a change in valuation multiple. For scale, scope and speed, identify the proposed organisational advantage and its potential limits, such as coordination, capacity or rushed diligence. These are study questions derived from the public themes, not assertions about what the required authors conclude.
Continuation transactions create a useful independent governance exercise. A sponsor may be involved with both the selling vehicle and the new holding vehicle, while existing investors face a sell-or-roll decision. Examine valuation evidence, conflicts, fees, available alternatives and decision time. ILPA’s public historical guidance provides context for these questions; consult the assigned current reading for its precise framework.
Part 4
Connect owner value creation, liquidity and CIO decisions
For pension value creation, distinguish investment returns from the costs and governance arrangements required to deliver them. Internal management, external mandates and partnerships create different capability and oversight needs. For a liquidity-premium theme, ask what restriction or service the investor is being compensated for, how the premium is measured and whether observed returns also reflect leverage, selection or stale valuations.
For a CIO framework, map objectives, decision rights, portfolio exposures and feedback. A useful study comparison asks how an institution converts a broad purpose into an allocation, implements that allocation and learns from results. After reading, attach the author’s actual framework and limitations to your notes. The original exercises here train the analysis process without inventing content from inaccessible texts.
An evidence record for every assigned reading
Claim
- Question to answer
- What is the author actually arguing?
- What counts as support
- A precise location in the assigned text
Mechanism
- Question to answer
- Why would the claimed effect occur?
- What counts as support
- A causal explanation or model
Evidence
- Question to answer
- What observations support the claim?
- What counts as support
- Data, cases and their stated limitations
Application
- Question to answer
- What decision changes for an investor?
- What counts as support
- Your explicit inference, separated from the author
Counterpoint
- Question to answer
- When might the claim fail?
- What counts as support
- Boundary conditions and unresolved questions
More worked practice
Original teaching cases. Use the stated assumptions; these are not official exam questions or marking keys.
Evaluate an AI research tool without accepting its output on trust
Given: An original hypothetical tool summarizes manager reports. In a 50-item validation set, 46 summaries preserve the key numerical facts and four contain a material number error. No client data is used in the test.
- 1Observed factual accuracy on this defined test is 46/50 = 92%.
- 2Investigate which document types and calculations produced the four errors; an average can hide concentrated failure.
- 3Require source-linked verification of material figures and reassess on new documents before expanding use.
Interpretation: The test gives limited evidence about one defined task. It does not establish suitability for every research workflow, confidentiality controls, or any conclusion from the official AI reading.
Check your understanding
Answer first, then open the explanation. These checks are original practice and do not generate an exam score.
1. Can the public reading titles establish the required authors’ conclusions?
No. Use the full assigned readings and official objectives. A theme guide cannot substitute for text-specific evidence.
2. Does an observed private-market return premium prove compensation for illiquidity?
No. Leverage, selection, risk exposures and measurement can also contribute. The identification method matters.
3. What is the correct status of the examples on this page?
They are original analytical exercises and public background context, not official exam questions or summaries of unreviewed candidate-only readings.
Common questions
Can I use a 2026 reading list for a 2027 sitting?
Use the edition CAIA specifies for 2027. The official study-tools page states that editions are valid for their exam calendar year.
Does this page summarize every required reading?
No. It teaches an analysis method and links to the authoritative reading source. The full assigned reading set remains necessary.
Sources and scope
The sources below establish their stated framework or subject context. Calculations and cases are our own teaching material; these sources do not endorse them or establish complete exam coverage.
- CAIA curriculum and study tools
Official curriculum, companions and required readings for the exam year. The current page now links to 2027 materials.
- CAIA: Inside the 2027 curriculum
Published highlights of the 2027 update. Not a complete list of examinable readings.
- CAIA contributor: Institutional digital asset custody (2025)
Contributor discussion of custody models and operational dependencies. Background context, not an official curriculum statement or current legal assessment.
- CAIA 2027 curriculum overview
Published topic categories and Emerging Topics reading titles for 2027. The overview is not the complete learning-objective list.
- NIST: AI Risk Management Framework
Public AI risk-management context. This is supplemental context, not a summary of a gated CAIA Emerging Topics reading.
- NIST: First finalized post-quantum standards (August 2024)
Dated evidence of post-quantum cryptography preparation, not a forecast of quantum capability or investment returns.
- ILPA: Continuation funds considerations (2023)
Public governance context for continuation transactions. Historical guidance; not a reproduction of required CAIA reading content.
By MiloPrep editorial team. Updated 10 October 2026. Independent study notes, not affiliated with or endorsed by CAIA Association. How we prepare our content.
Notes
- * The eight published 2027 reading themes: Short theme labels paraphrase the official reading titles. Follow the source for exact titles and candidate access; this is not a summary of the complete readings. ↩ Return to content
- * Study scope: Selected study concepts, not complete curriculum coverage. Match your sitting to the official exam-year materials; CAIA’s current resource page now links to 2027. ↩ Return to content