Saturday, February 10, 2024

Will Antitrust Actions Against Hyperscalers Actually Work?

Antitrust lawsuits often “sound good” as they essentially promise to promote market competition. But such lawsuits might, as legislation often is, aimed at problems that are going away. 


United States v. Microsoft Corp. (May 18, 1998): This was the primary lawsuit filed by the U.S. Department of Justice (DOJ), joined by 20 states. It alleged that Microsoft engaged in anti-competitive practices, primarily related to bundling Internet Explorer with Windows and hindering other browser competitors like Netscape.


The argument at the time was that the lawsuit was necessary to reduce monopoly power. Microsoft held a dominant position in the operating system market and was said to use bundling and other tactics to squeeze out competitors.


The particular case in point was bundling of a browser with the OS. With hindsight, we might question the necessity of the action. 


The antitrust decision that prevented bundling of Internet Explorer with the operating system seems to have had limited impact on OS or browser market share. 


Despite the antitrust case, Microsoft maintained its dominant position in the OS market, though some might argue that the rise of Google’s Chrome browser might have been helped by the “no bundling” rules. 


Critics argue the issue was self-correcting as the rise of the internet diminished the importance of desktop operating systems as “gatekeepers.” And almost nobody believes that a user’s choice of browser has much of any impact on market shares of internet apps and services. 


On the other hand, some might argue that the dominance of the Chrome browser is partly because it is pre-bundled with the popular Android operating system. But others might note that Chrome benefits from 

A user-friendly interface; speed and performance advantages; cross-platform integration; a substantial  extension library and frequent updates and improvements. 


Still, it can be argued that no device operating system or browser offers gatekeeper power in the internet era. 


Another example of major regulatory change was the U.S. 1996 Telecom Act, which aimed to promote voice competition in the telecom industry. As the act itself stated, “it is the purpose of this Act to promote competition and reduce regulation in order to secure lower prices and higher quality services for American telecommunications consumers, to encourage the rapid deployment of new telecommunications technologies and services to all Americans, and to provide for the orderly transition of the telecommunications industry from its monopoly past to a competitive future."


As a practical matter, that meant rules to increase competition in the voice services market. 


Of course, all that happened in the context of the emergence of the internet, which we might all agree changed the focus of “telecommunications” from voice to data and internet access, while the importance of “mobile” services also increased rapidly. 


Year

Fixed Network Voice

Mobile Voice

Internet Access & Messaging

Total Revenue

1996

$85.4 billion

$12.7 billion

$13.2 billion

$111.3 billion

1997

$87.8 billion

$20.5 billion

$17.1 billion

$125.4 billion

1998

$91.2 billion

$33.2 billion

$23.4 billion

$147.8 billion

1999

$93.7 billion

$52.1 billion

$32.9 billion

$178.7 billion

2000

$95.2 billion

$78.4 billion

$45.3 billion

$218.9 billion

2001

$93.7 billion

$87.2 billion

$52.1 billion

$233.0 billion

2002

$91.3 billion

$93.5 billion

$59.4 billion

$244.2 billion

2003

$88.2 billion

$99.1 billion

$67.3 billion

$254.6 billion

2004

$84.8 billion

$103.8 billion

$76.2 billion

$264.8 billion

2005

$81.2 billion

$108.3 billion

$86.1 billion

$275.6 billion

2006

$77.4 billion

$113.5 billion

$97.2 billion

$288.1 billion

2007

$73.3 billion

$119.1 billion

$109.4 billion

$301.8 billion

2008

$69.0 billion

$123.7 billion

$123.1 billion

$315.8 billion

2009

$64.4 billion

$127.5 billion

$138.4 billion

$330.3 billion

2010

$59.3 billion

$131.8 billion

$155.2 billion

$346.3 billion

2011

$54.8 billion

$135.5 billion

$173.7 billion

$364.0 billion

2012

$50.9 billion

$138.8 billion

$193.4 billion

$383.1 billion

2013

$47.6 billion

$141.7 billion

$214.5 billion

$403.8 billion

2014

$44.9 billion

$144.2 billion

$236.8 billion

$425.9 billion

2015

$42.7 billion

$146.1 billion

$260.3 billion

$449.1 billion

2016

$40.8 billion

$147.5 billion

$284.8 billion

$473.1 billion

2017

$39.2 billion

$148.4 billion

$309.9 billion

$497.5 billion

2018

$37.9 billion

$148.9 billion

$336.2 billion

$523.0 billion

2019

$36.9 billion

$149.0 billion

$363.7 billion

$549.6 billion

2020

$36.1 billion

$148.8 billion

$392.5 billion

$577.4 billion


While it can be argued that the Telecom Act helped propel those changes, many observers would argue the changes happened largely in spite of the act, and not “because of it.” The mobile business already was competitive (multiple major providers) while the data access business always was unregulated. 


The Telecom Act mostly had a practical effect on fixed network services and voice, a segment that was destined to become a minor part of the total  business. 


As that precedent applies to present-day efforts to “regulate” a few hyperscalers, we might suggest that “something” will be done, but that the actual rules will do very little to damage market leadership or the state of competition. 


If anything, Microsoft has become a bigger competitor since it was subject to antitrust regulation. 


Some will argue that the antitrust action “forced” Microsoft to look elsewhere for growth, leading to cloud computing, more emphasis on productivity suites and gaming, for example. So some would argue that the few hyperscalers targeted for action will find other ways to keep growing, no matter what the proposed  remedies related to the lawfulness of “alternative payments.”


So some might argue new European Union rules on Apple’s app store, forcing Apple to allow use of third-party payment systems, will limit App Store dominance in some way. Others might argue that Apple will simply find ways to limit the damage. 


As with the Telecom Act of 1996, which some argue did diminish dominance in long-distance calling and local voice services, others will argue those products were destined to shrink to near insignificance as revenue drivers within the industry, as mobility and internet access emerged as the industry revenue drivers.


So did the Act actually “work,” or was it aimed at a “problem” (lack of competition for voice services) that was going to go away in any case?


And will "remedies" for hyperscaler dominance also ultimately fail?


Thursday, February 8, 2024

Gemini Advanced Available as a Subscription


Gemini Advanced is available as part of the new Google One AI Premium Plan for $19.99/month, starting with a two-month trial at no cost. Providing access to the most-powerful version of Gemini, the plan also includes 2TB of storage. 

In addition, AI Premium subscribers will soon be able to use Gemini in Gmail, Docs, Slides and Sheets. 

Some Large Language Model Use "Off the Shelf" Cases are Fine; Others Will Require Custom Models

The value of large language models (LLMs) varies significantly based on the specific business use case. Financial modeling might require a custom model built on a firm’s proprietary data, but lots of other content creation can use “off the shelf” models. 


A custom LLM trained on a firm's proprietary financial data, financial news, and reports would yield far more accurate and relevant insights for tasks such as predicting customer demand for the firm’s products, assessing its degree of financial risk or operating costs. 


Scenario

Value Provided

Examples

Use Cases

Limitations

General Purpose Language Model

Broad range of capabilities, readily available, cost-effective for basic tasks

Generating text, translating languages, writing different kinds of creative content, answering your questions in an informative way

Content creation, communication, information retrieval, basic automation

May lack domain-specific knowledge, lower accuracy for specialized tasks, potential for bias

Specific Model Adapted for Individual Firm

Tailored to specific needs, higher accuracy and performance, improved security and privacy

Analyzing financial data, predicting customer churn, optimizing marketing campaigns, personalizing customer experiences

Financial modeling, risk management, customer service, product development

Higher development and deployment costs, limited to specific tasks, requires ongoing training and maintenance


A custom LLM trained on internal customer data, surveys, and support transcripts would excel in tasks such as identifying churn risk or patterns of buying behavior. 


On the other hand, off the shelf models might be quite suitable for analyzing broader customer sentiment trends and identifying emerging topics of interest for the range of company products. 


The same is likely true for general content creation such as code generation and scripts, marketing copy or website content, as well as language translation.


So the optimal approach might involve a hybrid strategy, leveraging both custom and general models.


Directv-Dish Merger Fails

Directv’’s termination of its deal to merge with EchoStar, apparently because EchoStar bondholders did not approve, means EchoStar continue...