Investors are pricing in a 32.6% AI productivity boost for software engineers
"We then use an economic model to translate that relationship into the AI-driven software engineering productivity gains investors anticipate."A preliminary look at our data suggests that total software engineering employment among the firms covered has increased over the past few years. "As discussed above, we combine empirical measurements with an economic model to infer how AI has changed investors' expectations of software engineering productivity and the implied GDP impact."Lian acknowledges that market expectations may not fully materialize. "Our estimates capture the market’s assessment of current and future productivity gains, and markets can be overly optimistic or pessimistic," he said.
- ▪"We then use an economic model to translate that relationship into the AI-driven software engineering productivity gains investors anticipate."A preliminary look at our data suggests that total software engineering employment among the firm
- ▪"As discussed above, we combine empirical measurements with an economic model to infer how AI has changed investors' expectations of software engineering productivity and the implied GDP impact."Lian acknowledges that market expectations ma
- ▪"Our estimates capture the market’s assessment of current and future productivity gains, and markets can be overly optimistic or pessimistic," he said.
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| Original publisher | The Register |
| Canonical URL | https://www.theregister.com/ai-and-ml/2026/09/29/investors-are-pricing-in-a-326-ai-productivity-boost-for-software-engineers/5299645 |
| Publication time | Tue, 29 Sep 2026 14:30:00 +0200 |
| Retrieval time | 2026-09-29T12:30:37.142Z |
| Last seen | 2026-09-29T12:30:37.142Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
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| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | WJvlojNB_7-a · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); ai and ml Investors are pricing in a 32.6% AI productivity boost for software engineers Economists turn stock movements into an estimate of anticipated gains – while warning that markets can get carried away Thomas Claburn Thomas Claburn AI AND SOFTWARE REPORTER Published tue 29 Sep 2026 // 13:30 UTC READ MORE AMD bets $8.2B that worlds matter more than words in AI 14 hours ago AWS needs to embrace its place as the Home Depot of AI infrastructure 15 hours ago French dev aims to solve…
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