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Hand-to-hand combat in enterprise software

Past performance does not predict future returns. You may get back less than you originally invested. Reference to specific securities is not intended as a recommendation to purchase or sell any investment.

The first quarter earnings season was at times carnage for enterprise software. Was the disruptive impact of artificial intelligence (AI) to blame?

Not entirely, no. Tougher macroeconomic conditions, with long-term interest rates back on the rise during the quarter, led to a wobble in corporate technology spending, which is still only tentatively recovering from its downturn of the past couple of years.

There are also deeper forces at work. AI needs to be viewed as a disruptive threat as much as an opportunity within the enterprise software sector, and it is starting to show.

On the face of it, the opportunity seems clear. Software companies are sitting on a goldmine of data and have the chops to integrate AI into their products and do great things for customers. Indeed, industry analyst Gartner projects AI-related revenues in enterprise software to grow from less than $50 billion today to over $1 trillion in 10 years’ time, a 30%-plus compound annual growth rate.   

But having spoken to enterprise software companies in Silicon Valley, our overriding impression of current conditions is not quite one of a gold rush, but rather of hand-to-hand combat. 

Take one of the big beasts of the sector, Salesforce. The stock was down more than 20% the day after earnings, sending shock waves through the sector. Could Salesforce, with all its technology pedigree, scale and scores of customer data really be a loser in the AI revolution?

The late, great Clayton Christensen of Harvard Business School thought there were fundamentally two types of innovations – sustaining and disruptive.

Sustaining innovations enable incumbents to strengthen their lead by enhancing their offering to customers. Within enterprise software, think of Microsoft Teams. Over the past few years it has enabled co-workers to communicate and collaborate more easily on work in Microsoft Word, PowerPoint and Excel.

Disruptive innovations by contrast kick the door open for upstarts by enabling a much cheaper and simpler brand-new version of a product. Think of Inuit’s core offering of a software package that replaces your accountant at 80-90% lower cost. These innovations are kryptonite to incumbents because adopting them simultaneously vaporises profitability and upsets existing customers accustomed to the bells and whistles.

No doubt, AI could be a sustaining innovation for Salesforce. The company has released its AI assistant, Einstein, with great fanfare and its scale with $35 billion of revenues and large customer data sets will underpin the offering. However, it is eye wateringly expensive, with Salesforce’s all-in subscription including AI at $500 per seat per month.

AI is a leveller. It distributes capabilities that were once the held by the few to the ready and willing. Competitor HubSpot, for example, is currently less than 10% the size of Salesforce in revenues but growing more than twice as fast by driving down prices. HubSpot’s all-in enterprise subscription with AI is $70 per seat per month, 85% cheaper than Salesforce, making Salesforce vulnerable to Christensen-type disruption.

HubSpot also has an advantage in having built its products on a single platform from day one as opposed to Salesforce’s more complex platform built from many acquisitions over the past couple of decades. This means it is simpler to use for customers, and easier and cheaper for HubSpot to innovate – it has announced 200 product enhancements in the past year alone.

Salesforce faces pressure from short-term focused investors to maximise current profitability. Founder and CEO Marc Benioff will need to capitalise on the legitimacy that only founders possess to ensure that the company is adequately focused on making the right-long term decisions in the age of AI.

This will mean investing in truly game-changing innovation through AI to create great value for customers and pricing it so that it is a no-brainer for customers. This is how leading companies can escape the innovators dilemma.       

In cyber security software, AI is a game changer because it is arming the bad guys. Criminal cyber-attacks, which in the good old days used to require a lot of skill, are being democratised. This means far more attacks but also faster attacks. It used to take hackers hours to do damage once they’d breached the system, now it takes minutes. 

CrowdStrike was built on AI from the start and is one of the best equipped to fight AI with AI. It may have an edge over leaders such as Palo Alto and Fortinet, which were originally built on a firewall architecture to keep malware out of on-premise networks, and have had to integrate modern parts of the toolkit over time. Palo Alto has done this through serial acquisitions.

In contrast, CrowdStrike is much simpler to use, and this quarter reported a major win from Palo Alto on the basis of its customer requiring 75% less engineer time to operate.

This customer appeal is showing in CrowdStrike’s growth, with revenues up phenomenally from $300 million at its IPO in 2019 to over $3 billion today. Moreover, it is growing at 30% with a 30% free cashflow (FCF) margin. Palo Alto and Fortinet will have to adequately invest to create great incremental value for customers from AI and maintain their strength.  

The risk to investors from AI is clear. The winners of the last cycle will not necessarily be the winners of the next cycle.

In the short term, chief information officers are holding back on major multi-year deals as enterprise software providers deploy and refine their AI offerings, in order to judge which offering is best value for money. This is partly why Q1 was weak.

Making things even trickier, standard seat-based subscription pricing models themselves are under disruptive threat from AI, as in some cases, efficiency gains translate to fewer workers required and therefore fewer subscriptions. Consumption-based models have in the past proven far from perfect in enterprise software, but they may become a necessity.

Value-based pricing models (such as those slowly emerging within healthcare) may be the best ultimate solution, but they are difficult to achieve and there are cautionary tales. Games designer software producer Unity Software faced a big backlash from customers for asking for a cut of the upside going forward on historical projects.

Incumbents will have to get both innovation and pricing right and not leave the door open to disruptors. This means that some great companies have not just an opportunity but also a challenge on their hands in the age of AI.

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KEY RISKS

Past performance is not a guide to future performance. The value of an investment and the income generated from it can fall as well as rise and is not guaranteed. You may get back less than you originally invested.

The issue of units/shares in Liontrust Funds may be subject to an initial charge, which will have an impact on the realisable value of the investment, particularly in the short term. Investments should always be considered as long term.

The Funds managed by the Global Innovation Team:

May hold overseas investments that may carry a higher currency risk. They are valued by reference to their local currency which may move up or down when compared to the currency of a Fund. May have a concentrated portfolio, i.e. hold a limited number of investments. If one of these investments falls in value this can have a greater impact on a Fund's value than if it held a larger number of investments. May encounter liquidity constraints from time to time. The spread between the price you buy and sell shares will reflect the less liquid nature of the underlying holdings. Outside of normal conditions, may hold higher levels of cash which may be deposited with several credit counterparties (e.g. international banks). A credit risk arises should one or more of these counterparties be unable to return the deposited cash. May be exposed to Counterparty Risk: any derivative contract, including FX hedging, may be at risk if the counterparty fails. Do not guarantee a level of income.

The risks detailed above are reflective of the full range of Funds managed by the Global Innovation Team and not all of the risks listed are applicable to each individual Fund. For the risks associated with an individual Fund, please refer to its Key Investor Information Document (KIID)/PRIIP KID.

DISCLAIMER

This is a marketing communication. Before making an investment, you should read the relevant Prospectus and the Key Investor Information Document (KIID), which provide full product details including investment charges and risks. These documents can be obtained, free of charge, from www.liontrust.co.uk or direct from Liontrust. Always research your own investments. If you are not a professional investor please consult a regulated financial adviser regarding the suitability of such an investment for you and your personal circumstances.

This should not be construed as advice for investment in any product or security mentioned, an offer to buy or sell units/shares of Funds mentioned, or a solicitation to purchase securities in any company or investment product. Examples of stocks are provided for general information only to demonstrate our investment philosophy. The investment being promoted is for units in a fund, not directly in the underlying assets. It contains information and analysis that is believed to be accurate at the time of publication, but is subject to change without notice. Whilst care has been taken in compiling the content of this document, no representation or warranty, express or implied, is made by Liontrust as to its accuracy or completeness, including for external sources (which may have been used) which have not been verified. It should not be copied, forwarded, reproduced, divulged or otherwise distributed in any form whether by way of fax, email, oral or otherwise, in whole or in part without the express and prior written consent of Liontrust.

James Dowey
James Dowey
James is a lead fund manager of the Liontrust Global Innovation, Liontrust Global Dividend and Liontrust Global Technology funds. He has 19 years of industry experience, including serving as Chief Investment Officer at Neptune Investment Management. He has also researched and taught the history of innovation at the London School of Economics and advised the UK government on innovation. He holds a first-class MA in economics from Edinburgh University, an MPhil in economics from Kings College, Cambridge University and a PhD from the London School of Economics.

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