Finance Performance

Is the finance industry actually changing, or just talking about it?

Scale

The numbers set the frame. Everything else is relative to this.

Finance is the largest industry by asset value. Every percentage-point shift moves trillions.

These are the signals that the edge is collapsing between institutional and retail.

Analyst time: Earnings call analysis — 2 days (junior analyst) → 5 minutes (AI plugin)
Research access cost: Bloomberg terminal — $24,000+/year → free AI plugin
Coverage capacity: 10 stocks/week (manual) → 50+ stocks/week (AI-assisted)
DCF build time: 2 days → minutes (same arithmetic; AI pulls and structures inputs)

Signals that predict future structural change:

Retail active portfolio size (increasing = AI lowering research friction)
Micro-cap trading volume (increasing = AI enabling coverage of uncovered stocks)
Bloomberg terminal subscriber count (declining = institutional edge eroding)
DeFi protocol revenue (increasing = on-chain rails gaining trust)
Stablecoin settlement volume as % of SWIFT volume

Signals that confirm change already happened:

Retail investor alpha vs benchmark (measures if faster research = better decisions)
Bank revenue from correspondent banking (declining = stablecoin displacement)
Junior analyst hiring in equity research (declining = AI automation absorbing workflow)
RWA tokenization total value locked

Bounds that signal systemic risk if breached:

DCF model accuracy: fair value estimate within 20% of consensus (AI models on bad assumptions are still bad)
Stablecoin reserve transparency: full backing required or systemic risk rises
AI agent autonomy without human sign-off: guardrail on binding commitments

Which of these signals is already showing up in your portfolio — or in your workflow?

Where is the largest gap between AI-augmented institutional research and retail capacity?
At what stablecoin volume does SWIFT correspondent banking become structurally unviable?