Gnosly Feed - productivity

Cumulative productivity growth since 2016: US vs. Australia

Thu, 12 Nov 2026 11:23:06 +0000

Source: AvidCommentator (X)

AI productivity gains are showing up, but only in ~15% of jobs. The three heaviest AI adopters (information, professional services, finance) went from a 2.2% productivity trend to 5.0% since 2022. The rest of the economy: 0.9% to 1.4%.

Mon, 02 Nov 2026 02:09:08 +0000

Source: EPBResearch (X)

OPINION: The US productivity uptick in AI-adopting sectors starts in 2020, not 2022. Even if you spot a new acceleration around 2022, that’s too early to be AI. Back then it was chatbots, not agents.

Mon, 02 Nov 2026 02:01:41 +0000

Source: John Burn-Murdoch (X), charts by FT

We are in a new era of labor productivity growth. Output per hour grew at 1.3% per year between 2012 and 2019, but at 2.1% between 2019 and 2026.Capital deepening, AI, and more business dynamism means that workers are producing more and more revenue with the same hours of work.

Sat, 31 Oct 2026 08:06:23 +0000

Source: Adam Shapiro (LinkedIn)

AI productivity gains are showing up, but only in ~15% of jobs. The three heaviest AI adopters (information, professional services, finance) went from a 2.2% productivity trend to 5.0% since 2022. The rest of the economy: 0.9% to 1.4%.

Mon, 26 Oct 2026 05:21:11 +0000

Source: Eric Basmajian (X)

Labour Productivity across OECD countries: Leaders: Ireland, Norway, Denmark. The bottom: Latvia, Greece and Mexico

Tue, 20 Oct 2026 09:25:28 +0000

Source: EconomyInformal (X)

Since 1979, American productivity has risen by 93.7%. Hourly pay has risen 32.7%. The pie got bigger, but workers got a smaller slice. I tracked down the UK data and found the same pattern.

Tue, 20 Oct 2026 09:07:52 +0000

Source: MMT101DotORG (X)

About #AI monetization...🚨 WE ARE EXPECTING AI PRO...

Wed, 26 Aug 2026 16:21:42 +0000

About #AI monetization...🚨 WE ARE EXPECTING AI PRODUCTIVITY GAINS FROM TECHNOLOGY MOST BUSINESSES AREN’T USING YET.This chart can be read in two ways:AI companies have not yet built products that most businesses genuinely need.We are still at the very beginning of a massive new product category.Both are probably true.Today’s most commercially mature AI tools are coding agents. They can deliver real productivity gains—but mainly for developers and other technology-focused roles.The equivalent tools for finance, law, consulting, operations and administration are only starting to emerge. Cowork and Codex offer a glimpse of what is coming, but remain heavily oriented toward coding.So perhaps AI’s limited impact on productivity is not evidence that the technology has failed.It may simply reflect a more basic reality:We are trying to measure the economic impact of tools that most companies have not adopted yet.Source: Ramp, Ara Kharazian@arakharazian