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title: Why the JSE is keeping its AI agents on a short leash
description: The JSE is testing agentic AI under tight controls, its COO Alicia Greenwood writes. One initiative lets agents interrogate equity-trade data, but outputs are...
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og:description: The JSE is testing agentic AI under tight controls, its COO Alicia Greenwood writes. One initiative lets agents interrogate equity-trade data, but outputs are...
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# Why the JSE is keeping its AI agents on a short leash

**[TechCentral](https://daily.dev/sources/techcentral)** · 5 min read · 0 upvotes · 0 comments

## Summary

The JSE is testing agentic AI under tight controls, its COO Alicia Greenwood writes. One initiative lets agents interrogate equity-trade data, but outputs are limited to advisory and informational use while identity, access, data-governance and audit controls are tested. She cites McKinsey data showing 80% of respondents believe AI has improved their individual productivity but only 37% report any EBIT impact. BCG estimated corporate AI spending has more than tripled to 3.3% of revenue, and found that 42% of companies expect autonomous AI agents by 2030 while only 5% have the relevant controls in place. The JSE has deferred AI initiatives where the business case, data, implementation costs or legal questions remain unresolved.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://techcentral.co.za/jse-ai-agents-governance-alicia-greenwood/287872>

## Questions this post answers

### What percentage of companies have proper controls in place for autonomous AI agents according to BCG research?

Only 5% of companies have the relevant controls in place for autonomous AI agents, even though 42% expect AI agents to act autonomously without human approval by 2030, according to Boston Consulting Group research. This gap illustrates why governance is lagging behind the push toward agentic AI deployment in enterprises.

_Teams weighing agentic AI rollouts can track governance practices and real-world rollouts on daily.dev._

### Why isn't AI adoption translating into measurable business profit?

AI adoption boosts individual productivity far more than it boosts enterprise profit: 80% of respondents in McKinsey's 2026 State of AI survey felt more productive, but only 37% reported any impact on earnings before interest and tax. The gap persists because companies often bolt AI onto existing workflows instead of redesigning processes end to end, and employees still must review outputs and handle exceptions.

_Developers justifying AI tooling investment can follow real ROI data and case studies on daily.dev._

### How is the Johannesburg Stock Exchange (JSE) testing agentic AI safely?

The JSE is testing agents that can securely interrogate equity-trade market data, but currently restricts them to advisory and informational outputs only. Before allowing scaling, it is testing identity, access, data-governance and audit controls, since giving an agent authority to take actions within a market process carries far higher risk than an AI tool that just helps draft or research content.

_Engineers building agent access controls can follow similar governance patterns from production rollouts on daily.dev._

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---

Tags: [#fintech](https://daily.dev/tags/fintech), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#ai-governance](https://daily.dev/tags/ai-governance)

[View this post on daily.dev](https://daily.dev/posts/why-the-jse-is-keeping-its-ai-agents-on-a-short-leash-kkhltf5jy)

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