Tag: Artifical Intelligence (AI)

The Amazing Rise of Nvidia

Nvidia’s headquarters in Santa Clara, California. (Photo from nvidia.com)

Nvidia was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem, electrical engineers who started the company with the goal of designing computer chips that would increase the realism of images in video games. The firm achieved a key breakthrough in 1999 when it invented the graphics processing unit, or GPU, which it marketed under the name GeForce256. In 2001, Microsoft used a Nvidia chip in its new Xbox video game console, helping Nvidia to become the dominant firm in the market for GPUs.

The technology behind GPUs has turned out to be usable not just for gaming, but also for powering AI—artificial intelligence—software. The market for Nvidia’s chips exploded witth technology giants Google, Microsoft, Facebook and Amazon, as well as many startups ordering large quantites of Nvidia’s chips.

By 2016, Nvidia CEO Jen-Hsun Huang could state in an interview that: “At no time in the history of our company have we been at the center of such large markets. This can be attributed to the fact that we do one thing incredibly well—it’s called GPU computing.” Earlier this year, an article in the Economist noted that: “Access to GPUs, and in particular those made by Nvidia, the leading supplier, is vital for any company that wants to be taken seriously in artificial intelligence (AI).”

Nvidia’s success has been reflected in its stock price. When Nvidia became a public company in 1999 by undertaking an initial public offering (IPO) of stock, a share of the firm’s stock had a price of $0.04, adjusted for later stock splits. The large profits Nvidia has been earning in recent years have caused its stock price to rise to more than $140 dollars a share.

(With a stock split, a firm reduces the price per share of its stock by giving shareholders additional shares while holding the total value of the shares constant. For example, in June of this year Nvidia carried out a 10 for 1 stock split, which gave shareholders nine shares of stock for each share they owned. The total value of the shares was the same, but each share now had a price that was 10 percent of its price before the split. We discuss the stock market in Microeconomics, Chapter 8, Section 8.2, Macroeconomics, Chapter 6, Section 6.2, and Economics, Chapter 8, Section 8.2.)

The following figure from the Wall Street Journal shows the sharp increase in Nvidia’s stock price over the past three years as AI has become an increasingly important part of the economy.

Nvidia’s market capitalization (or market cap)—the total value of all of its outstanding shares of stock—is $3.5 trillion.  How large is that? Torsten Sløk, the chief economist at Apollo, an asset management firm, has noted that, as shown in the following figure, Nvidia’s market cap is larger than the total market caps—the total value of all the publicly traded firms—in five large economies.

Can Nvidia’s great success continue? Will it be able to indefinitely dominate the market for AI chips? As we noted in Apply the Concept “Do Large Firms Live Forever?” in Microeconomics Chapter 14, in the long run, even the most successful firms eventually have their positions undermined by competition. That Nvidia has a larger stock market value than the total value of all the public companies in Germany or the United Kingdom is extraordinary and seems impossible to sustain. It may indicate that investors have bid up the price of Nvidia’s stock above the value that can be justified by a reasonable forecast of its future profits.

There are already some significant threats to Nvidia’s dominant position in the market for AI chips. GPUs were originally designed to improve computer displays of graphics rather than to power AI software. So, one way of competing with Nvidia that some startups are trying to exploit is to design chips specifically for use in AI. It’s also possible that larger chips may make it possible to use fewer chips than when using GPUs, possibly reducing the total cost of the chips necessary to run sophisticated AI software. In addition, existing large technology firms, such as Amazon and Microsoft, have been developing chips that may be able to compete with Nvidia.

As with any firm, Nvidia’s continued success requires it to innovate sufficiently to stay ahead of the many competitors that would like to cut into the firm’s colossal profits.

Glenn’s Interview with Jim Pethokoukis

Glenn discusses Fed policy, the state of the U.S economy, economic growth, China in the world economy, industrial policy, protectionism, and other topics in this episode of the Political Economy podcast from the American Enterprise Institute.

https://podcasts.apple.com/us/podcast/glenn-hubbard-a-pro-growth-policy-agenda/id589914386?i=1000665131415

Glenn’s Presentation at the ASSA Session on “The U.S. Economy: Growth, Stagnation or Financial Crisis and Recession?”

Glenn participated in this session hosted by the Society of Policy Modeling and the American Economic Association of Economic Educators and moderated by Dominick Salvatore of Fordham University. (Link to the page for this session in the ASSA program.)

Also making presentations at the session were Robert Barro of Harvard University, Janice Eberly of Northwestern University, Kenneth Rogoff of Harvard University, and John Taylor of Stanford University.

Here is the abstract for Glenn’s presentation:

Economic growth is foundational for living standards and as an objective for economic policy. The emergence of Artificial Intelligence as a General Purpose Technology, on the one hand, and a number of demographic and budget challenges, on the other hand, generate an unusually wide range of future economic outcomes. I focus on key ‘policy’ and ‘political economy’ considerations that increase the likelihood of a more favorable growth path given pre-existing trends and technological possibilities. By ‘policy,’ I consider mechanisms enabling growth through research, taxation, the scope of regulation, and competition. By ‘political economy’ factors, I consider mechanisms to increase economic participation in support of growth and policies that enhance it. I argue that both sets of mechanisms are necessary for a viable pro-growth economic policy framework.

These slides from the presentation highlight some of Glenn’s key points. (Note the cover of the new 9th edition of the textbook in slide 7!)

The Effect on a Firm’s Costs of Using a Generative AI Program

Supports: Microeconomics, Chapter 11, Section 11.5; Economics, Chapter 11, Section 11.5; and Essentials of Economics, Chapter 8, Section 8.5

Photo from the Wall Street Journal.

Imani owns a firm that sells payroll services to companies in the Atlanta area. Her largest cost is for labor. She employs workers who use software to prepare payroll reports and to handle texts and calls from client firms. She decides to begin using a generative AI program, like ChatGPT, which is capable of quickly composing thorough answers to many questions and write computer code. She will use the program to write the additional computer code needed to adapt the payroll software to individual client’s needs and to respond to clients seeking advice on payroll questions. Once the AI program is in place, she will need only half as many workers. The number of additional workers she needs to hire for every 20 additional firms that buy her service will fall from 5 to 1. She will have to pay a flat monthly licensing fee for the AI program; the fee will not change with the number of firms she sells her services to. Imani determines that making these changes will reduce her total cost of providing services to her current 2,000 clients from $2,000,000 per month to $1,600,000 per month

In answering the following questions, assume that, apart from the number of workers, none of the other inputs—such as the size of her firm’s office, the number of computers, or other software—change as a result of her leasing the AI program.

a. Briefly explain whether each of the following statements about the cost situation at Imani’s firm after she begins using the AI program is correct or incorrect.

  1. Her firm’s average total cost, average variable cost, and average fixed cost curves will shift down, while her firm’s marginal cost curve will shift up.
  2. Her firm’s average total cost, average variable cost, average fixed cost and marginal cost curves will all shift up.
  3. Her firm’s average total cost, average variable cost, and marginal cost curves will shift down, while her average fixed cost curve will shift up.
  4. Her firm’s average total cost, average variable cost, average fixed cost, and marginal cost curves will all shift down.
  5. Her firm’s average fixed cost curve will shift up, but her other cost curves will be unchanged.

b. Draw a graph illustrating your answer to part a. Be sure to show the original average total cost, average variable cost, average fixed cost, and marginal cost curves. Also show the shifts—if any—in the curves after Imani begins using the AI program.

Solving the Problem

Step 1:  Review the chapter material. This problem requires you to understand definitions of costs, so you may want to review the sections “The Difference between Fixed Costs and Variable Costs,” “Marginal Costs,” and “Graphing Cost Curves”

Step 2:  Answer part (a) by explaining whether each of the five listed statements is correct or incorrect. The cost of the AI program is fixed because it doesn’t change with the quantity of her services that Imani sells. Her firm will have greater fixed costs after licensing the AI program but she will have lower variable costs because she is able to produce the same level of output with fewer workers. Her marginal cost will also decline because she needs to hire fewer workers as the quantity of services she sells increases. We know that the average total cost per month of providing her service to 2,000 clients has decreased because we are given the information that it changed from ($2,000,000/2,000) = $1,000 to ($1,600,000/2,000) = $800.

  1. This statement is incorrect because her average fixed cost curve will shift up as a result of her total fixed cost having increased by the amount of the AI program license and because her marginal cost curve will shift down, not up.
  2. This statement is incorrect because all of her cost curves, except for average fixed cost, will shift down, not up.
  3. This statement is correct because it describes the actual shifts in her cost curves. 
  4. This statement is incorrect because her average fixed cost curve will shift up, not down.
  5. This statement is incorrect because her rather than being unaffected, her average total cost, average variable cost, and marginal cost curves will shift down.

Step 3:  Answer part (b) by drawing the cost curves for Imani’s firm before and after she begins using the AI program. Your graph should look like the following, where the curves representing the firm’s costs before Imani begins leasing the AI program are in blue and the costs after leasing the program are in red.