EXECUTIVE AGENDA · 11 OCT / 2026DAILY EDITION · 5 MIN READ
THE AI INSTITUTE / RESEARCH FOR LEADERS
Ask Where the AI Gains Will Go
Next week’s jobs, investment and tax discussions should test who benefits from your AI strategy—and who carries its costs.
OUR VIEW
An AI growth forecast is not a distribution plan. Leaders should identify how expected gains reach the business, workers and customers, and which evidence would change those assumptions.
Key points
What this paper means for leaders
Separate business savings from worker and customer benefits.
Watch dated evidence releases without treating scheduled discussions as outcomes.
Keep potential tax changes in scenarios until applicable rules are established.
Assign one owner to each assumption that could change this week.
01
Week Ahead
Growth is only the first question
An AI programme can improve output while leaving unresolved who benefits. Savings may remain with the business, lower customer prices, fund better service or pay for new work. Those are different choices. Before adopting another productivity forecast, ask which route your strategy assumes and what would make that route credible.
The coming week offers a useful checkpoint. The IMF–World Bank Annual Meetings run from 12 to 18 October in Bangkok, while Ireland’s Digital Week runs from 12 to 16 October. Both programmes connect AI with economic and institutional change. Their agendas establish what will be discussed, not what participants will deliver. [1, 2]
02
Monday · 12 October
Put the workforce claim under scrutiny
The World Bank’s scheduled Small AI event focuses on practical applications suited to local languages, infrastructure and budgets. Its framing is job creation, not simply larger models. For an executive team, the question is whether a useful application creates additional demand and better work—or merely shifts effort and cost to someone else. [1, 3]
An IMF presentation on Asian labour markets is also scheduled for Monday, at 14:30 Bangkok time. The event description says it draws on millions of online job postings. Ask what countries, occupations and periods the analysis covers before using it to revise a hiring plan. Postings are evidence about advertised demand; they are not a complete count of employment, informal work or wages. 4
Have the people leader and operating executive compare any findings with their own vacancies, service demand and training capacity. Evidence of changing skills can justify a targeted learning programme. It cannot, by itself, establish how many roles your organisation should remove. A credible jobs claim needs a mechanism connecting better tools to work people can actually obtain.
03
Wednesday · 14 October
Follow the investment terms and the tax questions
Dublin’s International AI Summit is scheduled for 14 October. The published programme brings together policymakers, major suppliers and enterprise leaders around applied AI and competitiveness. Use it to look for concrete access conditions, customer evidence and delivery commitments. A shared stage is not evidence that participants share incentives or that a partnership is available to your organisation. [2, 5]
On the same date, the IMF’s taxation forum is scheduled for 16:30 Bangkok time. Its questions include technology-company profits, the balance between labour and capital taxation, and possible levies involving compute, energy or subscriptions. This is a discussion programme, not an enacted tax or a forecast that a particular levy will follow. 6
Ask the finance and public-policy teams to keep a sensitivity case separate from the approved budget. Which cost or pricing assumption would be exposed if a relevant jurisdiction changed its approach? Record the exposure without inventing a rate or effective date. Move a scenario into the operating plan only when applicable measures and commercial terms justify it.
04
Thursday–Friday · 15–16 October
Test how the benefits reach the market
The AI in Science Summit and Digital Talent EU Days are scheduled in Dublin for 15–16 October. These are opportunities to examine the links between research, skills and adoption. Research leaders should look for usable methods and access arrangements; workforce leaders should look for evidence that training leads to sustained use, not just participation. 2
Regional context changes the answer. The World Bank’s development framing emphasises language, affordability and infrastructure. The European events emphasise research, competitiveness and talent. The Asian job-posting presentation has its own geographic and labour-market coverage. None is a substitute for evidence from your customers or workforce in North America, Latin America, Africa or the Middle East.
For each market, identify the binding condition: service access, reliable connectivity, relevant language support, worker protections, purchasing power or delivery expertise. Do not average these differences into one global adoption assumption. A viable application in one setting can require a different business model elsewhere. That is a reason to adapt the investment case, not to assume the opportunity disappears.
05
Friday review
Make the week change a decision
Before Monday, write down three expected gains from your AI programme: one for the business, one for workers and one for customers. For each, name the recipient, the mechanism, the transition cost and the evidence still missing. Give each assumption an owner. This is the Institute’s proposed review, not a requirement issued by either institution.
On Friday, keep, revise or reject each assumption using what was actually published. Separate statements of intent from results and check event recordings or documents before repeating a headline. If nothing material has changed, leave the commitment unchanged. The purpose is not to react to every speech. It is to make your next investment or workforce decision more defensible.
Three claims to test this week
01
Business
How does useful work become retained value?
Institute decision framework02
Workers
How does capability become accessible work?
Institute decision framework03
Customers
How does efficiency improve price or service?
Institute decision framework
Research record
Method and limitations
Method
Original Institute synthesis of official event programmes checked on 11 October 2026. Dates are event dates; Bangkok times are explicitly identified. Forward-looking descriptions are not treated as delivered results. Recommendations about gain distribution and internal review are Institute analysis.
Limitations
Schedules and speakers may change. Event descriptions do not establish causal employment effects, investment outcomes or new legal duties. Online job postings do not represent all workers. No comparable cross-regional impact estimate is offered. No tax rate, legal deadline or forecast of policy adoption is asserted.
First published 11 October 2026 · Updated 11 October 2026 ·Research period October 2026 – October 2026 · Research current to 11 October 2026 · Version 1.0 · Suggested citation: The AI Institute, Ask Where the AI Gains Will Go (2026).