Monday, February 19, 2024

"Fair Share" Costs Will be Borne by Businesses and Consumers

So-called “fair share” payments by a few hyperscale app providers to internet access providers in Europe means a formal end to network neutrality; higher revenues for connectivity providers but higher costs for the affected few hyperscale app providers.


As always, business partners of the affected hyperscale firms will wind up paying for the higher app provider costs. Such new fees are simply a cost of doing business, and will be incorporated into the costs the affected hyperscalers must cover to sustain their businesses.


It remains possible that other ramifications will be seen, even if unexpected. The app providers may have new incentives to reshape their apps to reduce the amount of bandwidth they consume on the local access networks.


They might have new incentives to create their own networks, especially if some connectivity partners are able to forego charging the fees, thus offering a lower-cost access alternative.


To be sure, such actions would be complicated and run counter to the business interests of having apps available to as many people as possible. But higher fees for business partners would be relatively simple as a remedy.


If profitability becomes more challenging in EU countries, compared to others, the affected hyperscalers might decide to focus growth and investment priorities elsewhere, to some extent.


And that might be among the benefits legislators see. Since governments are obviously interested in promoting domestic competition to the hyperscalers, and since such smaller potential domestic competitors would not have to pay the fees, domestic broadband networks should get a boost at the same time that domestic competitors to the hyperscalers get a small cost advantage.


But some of us might also note that the additional costs are likely to resemble other regulatory costs faced by hyperscalers and other leaders in any industry who face regulatory costs. The additional costs might be unwelcome, but rarely, if ever, are life threatening.


The costs will be recovered from business partners or customers and users, in some way. A decade from now, nobody will pay much attention, as the marginal increased costs are simply built into routine cost structures.


Such payments by a few hyperscalers also effectively end network neutrality. Recall that the fundamental net neutrality principle is “non-discrimination.” 


At its core, net neutrality means ISPs must treat all internet traffic equally, regardless of the source, destination, content, platform, or application. That has, in practice, meant no blocking, throttling, or prioritizing specific content.


By definition, taxing traffic from a few hyperscale app providers--delivered at the request of the ISP’s own customers--is unequal treatment by source, content, platform and application. 


Granted, the flow of revenue within a value chain can take many forms. But the core principle in the communications business has been that customers pay for their own consumption. The possible new European Union rules on “fair share” shift the revenue flow, allowing ISPs to charge both their own customers as well as a few firms whose products their customers use extensively. 


At a high level, digital infrastructure value flows toward end users and retail customers, while revenue flows from end users back to infra suppliers. 


Content value is more complicated, as are revenue mechanisms. Some professional content creators create value that flows to distributors, and then to consumers. Revenue can flow from end users, advertisers and other business partners towards content creators and distributors. 


E-commerce providers create value that flows up from product creators and suppliers towards consumers. Revenue flows from buyers to sellers and distributors. 


Providers of social media and search functions create value that flows to end users. Revenue flows from advertisers and business partners towards the social media and search providers. 


source: Kearney 


The change in connectivity value might remain relatively unchanged if the EU imposes “fair share” requirements. End users might still be able to access their favored “fair share” apps. But changes always are possible. In the EU, surcharges or fees for some features could develop, as the affected app providers move to maintain their profit margins. 


The affected firms might optimize their platforms to minimize data consumption, which could affect user experience. They could shift resources and investments away from the EU, focusing on markets with less stringent regulations.


The affected companies might raise advertising costs for their partners. 


The affected firms might explore new data monetization methods. Subscription models for specific features or content could develop.


Overall, the affected firms would likely accelerate an exploration of alternative and additional new revenue streams to compensate for the new costs of doing business in the EU. 


Advertising on EU-consumed content might increase. For-fee elements of service could increase. 


The point is that no value chain participant, facing higher costs from one of its suppliers, is going to sit still. At the very least, new efforts will be made to offset the higher costs. 


In principle, the proposed new payments are a tax on doing business in the EU. And, like all taxes, they are simply a cost of business whose costs must be recovered. They will be recovered. And the payment burden will ultimately fall on consumers and business partners.


Sunday, February 18, 2024

Why Microsoft Has Advantages in Monetizing AI (For Now)

It’s relatively easy to explain why Microsoft has benefitted “most” of U.S. app hyperscalers from its artificial intelligence monetization activities. Of the “Magnificent Seven” firms (Alphabet, Microsoft, Amazon, Apple, Nvidia, Meta, Tesla), Microsoft’s product line is easiest to adapt for subscription-based AI revenues. 


But watch for the other contestants to add subscription products as well. Google One, for example, has more than 100 million subscribers, and will be adding access to Gemini Advanced, based on the most-capable large language model yet fielded by Alphabet.


And subscriptions are easy to track and easy to quantify. Financial analysts like that. In comparison, advertising and e-commerce revenue streams are harder to quantify, with AI contributions only one of several key revenue drivers. 


AI recurring revenue from subscriptions provide predictable and recurring cash flow. And integrating with Microsoft’s large base of productivity products sold directly to businesses and consumers provides both “stickiness” and a large addressable market.


AI-driven advertising lift is often somewhat indirect, therefore harder to measure, and also is more volatile than subscriptions. Revenue growth hinges on overall advertising spend and digital advertising  trends as well as economic conditions. 


As for AI-assisted e-commerce, AI-powered recommendations and personalization can increase conversion rates and sales, but the impact is somewhat indirect, harder to measure and less predictable than subscription business models. 


Much the same applies for most AI implementations for most hardware and software, with the salient exception of Nvidia graphics processing units, which have been foundational for AI infrastructure operations. 


Though Nvidia and other merchant chip suppliers will benefit from classic “unit volume,” other providers creating their own AI processing or acceleration chips will not be able to easily quantify the impact on business operations from a revenue perspective, though some estimation of impact on operating or capital investment might ultimately be possible. 


The point is that Microsoft’s huge embedded base of retail productivity and consumer gaming products makes a subscription approach immediately appealing.


5G Does Lift ARPU, in Many Markets

As much as mobile service providers “worry” about 5G revenue upside, compared to 4G, that does not seem to be an issue for many larger service providers. 


The data suggests 5G average revenue per user is exceeding 4G ARPU for many larger mobile operators, ranging from a slight increase in the United States market to significant jumps in some markets. 


Operator

Country

5G ARPU (USD)

4G ARPU (USD)

Source

AT&T

USA

66.28

57.56

Statista, FierceWireless

Verizon

USA

66.40

57.72

Statista, FierceWireless

NTT Docomo

Japan

89.00

62.00

TeleGeography, Nikkei Asian Review

China Mobile

China

25.00

16.00

GSMA Intelligence, South China Morning Post

Orange

France

30.00

23.00

Analysys Mason, Les Echos

Deutsche Telekom

Germany

34.00

25.00

Analysys Mason, Reuters

Vodafone

UK

38.00

28.00

Analysys Mason, Mobile World Live

Telstra

Australia

44.00

38.00

Analysys Mason, The Australian

Telefónica

Spain

35.00

27.00

Analysys Mason, El País


Generally speaking, ARPU increases for 5G, over 4G, range from about 12 percent up to 25 percent. 


Operator

Country

5G ARPU (USD)

4G ARPU (USD)

5G vs. 4G Increase (%)

Source

AT&T

USA

53.18

47.50

12.0%

Leichtman Research Group Q3 2023 Report

Verizon

USA

56.00

48.00

16.7%

Fierce Wireless

NTT Docomo

Japan

62.00

50.00

24.0%

TeleGeography GlobalCom Database

Deutsche Telekom

Germany

35.00

28.00

25.0%

Deutsche Telekom Investor Relations

Orange

France

32.00

27.00

18.5%

Orange Investor Relations

Telefónica

Spain

34.00

29.00

17.2%

Telefónica Investor Relations

Vodafone

UK

38.00

32.00

18.8%

Vodafone Investor Relations

China Mobile

China

30.00

24.00

25.0%

China Mobile Investor Relations


Average revenue “per account” should be a higher figure, since some accounts include multiple users or lines. By some estimates, 5G account revenue. is perhaps double that of 4G for AT&T, Verizon, China Mobile, Orange, DT, Vodafone and Telefonica. 5G account revenue might be 40 percent higher for Telstra. 


Saturday, February 17, 2024

Is OpenAI Wildly Overvalued?

We can debate whether public companies believed to benefit from artificial intelligence are in a valuation bubble, might become a bubble or are not in such a bubble. But a recent offering suggests an OpenAI valuation north of $80 billion, for a firm with annual revenues of about $1.8 billion. 


That suggests a revenue multiple of 44.4, much higher than most other firms in the technology business. Of course, some will argue OpenAI’s apparent valuation is appropriate, given its present leadership status in the AI platform space and AI “picks and shovels” markets. 


Consider that high-flying Nvidia has a revenue multiple around 15, for example.  


Company

Revenue (2023)

Valuation (Feb 2024)

Revenue Multiple

OpenAI (Private)

$1.8 billion

$80 billion

44.4

Snowflake (SNOW)

$9.7 billion

$73.9 billion

7.6

Datadog (DDOG)

$1.7 billion

$44.1 billion

26.0

Zoom Video (ZM)

$4.2 billion

$24.0 billion

5.7

Tesla (TSLA)

$81.5 billion

$468.1 billion

5.7

NVIDIA (NVDA)

$33.3 billion

$491.3 billion

14.8


It is too early to say whether such a valuation is warranted or sustainable. But OpenAI is an outlier by most reasonable estimates.


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