Finance Careers Are Changing | Here’s What’s Coming Next!

Finance/Careers Context (Macro Business Backdrop)

• The speaker describes the last ~8 months as “brutal” for tech-related jobs, with 12,000–15,000 roles expected to be impacted (attributed to “the latest… job” / unclear term in subtitles).
• Key industry shift: IT is undergoing correction.
• Despite this, the speaker pivots to finance career resilience, emphasizing Global Capability Centers (GCCs).

GCC (Global Capability Centre): Where Work Is Moving

Definition and Examples

• GCC work is framed as parallel to back/middle-office functions moved abroad—e.g., administration/operations such as admin, accounting, compliance, audit (example given: Google).

Why GCCs Are Growing

• Leadership priority is described as focusing on new products/services.
• Therefore, cost-center functions are placed in lower-cost regions.

Why India Is Highlighted

• India is cited as an increasingly prioritized hub:
  • “In the last three years India has turned out to be a priority choice.”
• Examples mentioned include JP Morgan, IT companies, and automobile companies.

Time Horizon

• Roles are described as needing support through 2030.
• The video also repeats broader horizons such as:
  • 5–10 years
  • 10–15 years
  • 20 years

Finance Roles Expected to Stay in Demand (AI + Human Accountability)

The speaker’s central framework:

• Many finance tasks will become more automated.
• However, human accountability and decision-making will remain valuable.
• Recommended focus: roles that combine finance expertise with AI/tools operation.

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Role 1: FP&A Analyst (Forecasting + Planning)

F&A vs FP&A (Planning/Forecasting)

• Finance & Accounting (F&A): mostly historical data, typically more operational and automatable.
• FPN&A / FP&A (subtitles vary; context is planning/forecasting): uses forecasted data, including:
  • historical business data
  • market insights
  • competition
  • upcoming rules/regulations
  • budgeting, targets, and decision support

Automation Claim

• Predictive/operational parts may be handled by “an army of 100 robots” (automation + AI tools), with humans supervising.

Explicit Recommendation

• Target FP&A specifically to build decision-making capability.
• Also develop the ability to run/operate AI tools (finance + AI domain expertise).

Live Example (Startup/US Clients)

• A student (from “Finstate”) is described working in a startup serving US clients.
• The student builds customized AI-enabled forecasting/budget scenario tools.
• Mentions AI-assisted coding / auto-generating code (“prop based coding” described; tool name not provided).
• The speaker notes no promotion/sponsorship.

Key Caution (Implied)

• Don’t target only “simple accounting” roles that are rule-based and highly automatable.
• Instead, target the work after automation—i.e., decision/forecasting.

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Role 2: Risk & Controllers

Example Scenario

• End-to-end process monitoring and risk tracking.
• If something goes wrong, accountability can’t be delegated to a tool (punishing/firing a tool is dismissed).

Recommendation

• Build expertise in how controllers and risk managers operate, including the technical side.
• AI may assist execution, but human accountability persists.

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Role 3: Compliance / Regulations (IFRS, US GAAP)

Recommendation

• Compliance roles are positioned as durable because regulations remain.

Standards Mentioned

• IFRS submissions / IFRS compliance
• US GAAP compliance

Credential Angle (Implied Comparison)

• The speaker doesn’t argue “one tool is enough.”
• Instead, experts with certifications are still preferred (examples mentioned in subtitles):
  • ACCA
  • US CMA
  • CPA
• Rationale: these credentials help ensure correct reporting/checking even with AI assistance.

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Role 4: Management Accounting & Business Partnership

Decision Context

• Business-critical decisions require experimentation and analysis.

Timeline

• “Experimentation is mandatory” with at least 7 to 10 years mentioned as a benchmark (wording is unclear, but presented as a duration requirement).

Example Decisions Listed

• Enter a new market
• Launch a new product
• Competitive pricing
• Discounts
• Shut down units for cost cutting
• Lay off employees

Recommendation

• Machines/AI can provide data and insights.
• Humans (business partners/management accountants) make decisions.
• Value comes from experience + technical competence.

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Role 5: Consultant/Advisor (New-Age Advisory)

Recommendation

• Advisory roles are said to “not go anywhere” over 5–10–20 years.

Evolution in Experience

• Previously: advisors with 20–30 years tenure.
• Now: consultants with 10–15–20 years experience are common.

Adaptation Through Major Cycles

• Major changes cited:
  • Dot-com bubble (2000)
  • 2008 crisis
  • Startup boom (~2015)
  • AI boom (2020–22)

Core Value Proposition

• Consultants/advisors are valuable due to experience adapting to major regime changes and adopting new tools.

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Instruments / Tickers / Sectors / Assets Mentioned

• No specific tickers, ETFs, bonds, commodities, or market price/yield/multiple numbers are mentioned.
• “Tech work” and “IT” are referenced, but not as investable tickers.

Key Numbers Explicitly Cited

• 12,000–15,000: estimated tech job impact (timeframe framed as last ~8 months).
• Role time horizons:
  • By 2030
  • 5–10 years
  • 10–15 years
  • 20 years
• 7–10 years: experimentation requirement (as stated).

Disclosures / Disclaimers

• No explicit “financial advice” disclaimer is included in the subtitles.
• The speaker says they:
  • cannot take names
  • have no sponsorship
  • don’t want to promote specific tools

Presenters / Sources

• Presenter/speaker: Not named in the provided subtitles.
• Source mentioned: Finstreet Education
  • Linked in the description
  • Used for certification training for US CMA / ACCA.