Monday, May 19, 2025

Nvidia Unveils NVLink Fusion, Enabling Use of Third Party CPUs, GPUs

Among other announcements Jensen Huang, Nvidia CEO, made in a speech at the Computex trade show, he unveiled NVLink Fusion, a platform that allows customers to integrate non-NVIDIA CPUs or accelerators with NVIDIA's GPUs in custom rack-scale AI systems. 

The move allows chip designers, such as Marvell Technology and MediaTek, to use NVLink for high-speed chip-to-chip communication, facilitating the creation of powerful, custom AI systems. 

Customers can pair NVIDIA Blackwell GPUs with custom CPUs or AI accelerators, such as Qualcomm’s Snapdragon CPU cores, within NVIDIA’s ecosystem, for example. 

Sunday, May 18, 2025

NBER Study Suggests Limited AI Chatbot Impact on Earnings, Productivity

A study of artificial intelligence chatbot impact on labor markets in Denmark suggests the economic impact is “minimal.” Indeed, the study authors say “AI chatbots have had no significant impact on earnings or recorded hours in any occupation.” 


The study published by the U.S. National Bureau of Economic Research involved two large-scale adoption surveys conducted in late 2023 and 2024 covering 11 occupations; 25,000 workers and 7,000 workplaces.


Productivity gains were said to be modest, with an average time savings of three percent. But the study notes that AI chatbots have created new job tasks for 8.4 percent of workers, including some who do not use the tools themselves.


Nor has there been any impact on worker earnings. “Workers overwhelmingly report no impact on earnings as of November 2024,” the study says. 


Nor do productivity gains seem to have much impact on earnings. “We estimate that only three to seven percent of workers’ productivity gains are passed through to higher earnings,” say authors Anders Humlum and Emilie Vestergaard.


“Comparing workplaces with high versus low rates of chatbot usage, we find no evidence that firms with greater adoption have experienced differential changes in total employment, wage bills, or retention of

incumbent workers,” the authors say. 


The authors also note that Denmark has institutional characteristics similar to those of the United States, with similar uptake of generative AI; how hiring and firing costs; decentralized wage bargaining and annual wage negotiations. 


The 11 occupations studied included accountants, customer support specialists, financial advisors, HR professionals, IT support specialists, journalists, legal professionals, marketing professionals, office clerks, software developers, and teachers.


The findings should not come as a surprise. The “productivity J-curve" suggests that initial investments in new technologies may temporarily suppress productivity before delivering long-term benefits.


Study

Technology Examined

Lag Time Observed

Key Findings

McKinsey Global Institute 1,5,7

Digital technologies, AI

Years to decades

Benefits emerge after business process redesign and "creative destruction." Historical parallels (e.g., electric power) show lags of decades. Generative AI may shorten lags to months or years.

CEPR Study on French Industrialization 3

General-purpose technologies

5–10 years

Firms delayed adoption due to uncertainty, and early adopters operated technologies inefficiently. Aggregate productivity gains materialized slowly as organizational practices evolved.

Stanford CS Analysis 4,5

IT investments

2–5 years

Executives reported 5-year lags for IT payoffs. Complementary investments and learning curves delayed measurable productivity growth.

Productivity Paradox Research 5

IT, automation

2–5 years

"Productivity J-curve" observed: short-term costs offset gains until workflows adapted. Measurable aggregate gains emerged in the 2000s from 1990s IT investments.

Brynjolfsson et al. (McKinsey) 7

Generative AI

Months to a few years

Shorter lag due to existing digital infrastructure, but still requires process redesign. Early adopters see inefficiencies before optimization.


Saturday, May 17, 2025

Declining Robotics Costs Drive Substitution for Human Labor

Robots, as a form of embodied artificial intelligence, are declining in cost so much that it is virtually inevitable they will become functional substitutes for human labor in many instances, as wage costs continue to grow at a relatively consistent rate. 


On the other hand, sometimes there is no substitute for humans.

Year

U.S. Labor Cost Index (Normalized)

Estimated Robot Cost per Working Hour (USD)

2010

80

40

2011

82

38

2012

85

36

2013

87

34

2014

90

32

2015

92

30

2016

95

28

2017

97

26

2018

100

24

2019

103

22

2020

106

20

2021

110

18

2022

113

16

2023

116

14

2024

119

12

2025

121

10

In many cases, at some point, there is a total cost of ownership crossover: it becomes more reasonable to use robots instead of humans for some tasks. 


Labor Rate Trends vs. Cost of Using Robots in the U.S. (2010-2025)


Using an employment cost index, which compares wage costs, inflation and benefits, the cost of human labor has increased about 40 percent since 2010. The cost of using robots, per hour, has fallen 400 percent over the same period. 


Year

U.S. Labor Cost Index (Normalized)

Estimated Robot Cost per Working Hour (USD)

2010

80

40

2011

82

38

2012

85

36

2013

87

34

2014

90

32

2015

92

30

2016

95

28

2017

97

26

2018

100

24

2019

103

22

2020

106

20

2021

110

18

2022

113

16

2023

116

14

2024

119

12

2025

121

10


A World Where "Answers" are the Issue, Not "Search" Results

The replacement of traditional search with language model “answers” shifts the internet from a link-based content ecosystem to a world where...