Silicon nerd 🤓 that I am, I have gone through multiple cycles of excited-then-disappointed for Windows-on-ARM, especially considering the success of ChromeOS with ARM, the Apple M1/M2 (Apple’s own ARM silicon which now powers its laptops), and AWS Graviton (Amazon’s own ARM chip for its cloud computing services).
I may just be setting myself up for disappointment here but these (admittedly vendor-provided) specs for their new Snapdragon X (based on technology they acquired from Nuvia and are currently being sued for by ARM) look very impressive. Biased as they may be, the fact that these chips are performing in the same performance range as Intel/AMD/Apple’s silicon on single-threaded benchmarks (not to mention the multi-threaded applications which work well with the Snapdragon X’s 12 cores) hopefully bodes well for the state of CPU competition in the PC market!
Overall, Qualcomm’s early benchmark disclosure offers an interesting first look at what to expect from their forthcoming laptop SoC. While the competitive performance comparisons are poorly-timed given that next-generation hardware is just around the corner from most of Qualcomm’s rivals, the fact that we’re talking about the Snapdragon X Elite in the same breath as the M2 or Raptor Lake is a major achievement for Qualcomm. Coming from the lackluster Snapdragon 8cx SoCs, which simply couldn’t compete on performance, the Snapdragon X Elite is clearly going to be a big step up in virtually every way.
Qualcomm Snapdragon X Elite Performance Preview: A First Look at What’s to Come Ryan Smith | Anandtech
There’s been a fair amount of talk lately about proactively regulating — and maybe even breaking up — the “Big Tech” companies.
Full disclosure: this post discusses regulating large tech companies. I own shares in several of these both directly (in the case of Facebook and Microsoft) and indirectly (through ETFs that own stakes in large companies)
Like many, I have become increasingly uneasy over the fact that a small handful of companies, with few credible competitors, have amassed so much power over our personal data and what information we see. As a startup investor and former product executive at a social media startup, I can especially sympathize with concerns that these large tech companies have created an unfair playing field for smaller companies.
At the same time, though, I’m mindful of all the benefits that the tech industry — including the “tech giants” — have brought: amazing products and services, broader and cheaper access to markets and information, and a tremendous wave of job and wealth creation vital to may local economies. For that reason, despite my concerns of “big tech”‘s growing power, I am wary of reaching for “quick fixes” that might change that.
Another factor which complicates tech policy is that the traditional “big is bad” mentality ignores the benefits to having large platforms. While Amazon’s growth has hurt many brick & mortar retailers and eCommerce competitors, its extensive reach and infrastructure enabled businesses like Anker and Instant Pot to get to market in a way which would’ve been virtually impossible before. While the dominance of Google’s Android platform in smartphones raised concerns from European regulators, its hard to argue that the companies which built millions of mobile apps and tens of thousands of different types of devices running on Android would have found it much more difficult to build their businesses without such a unified software platform. Policy aimed at “Big Tech” should be wary of dismantling the platforms that so many current and future businesses rely on.
Its also important to remember that poorly crafted regulation in tech can be self-defeating. The most effective way to deal with the excesses of “Big Tech”, historically, has been creating opportunities for new market entrants. After all, many tech companies previously thought to be dominant (like Nokia, IBM, and Microsoft) lost their positions, not because of regulation or antitrust, but because new technology paradigms (i.e. smartphones, cloud), business models (i.e. subscription software, ad-sponsored), and market entrants (i.e. Google, Amazon) had the opportunity to flourish. Because rules (i.e. Article 13/GDPR) aimed at big tech companies generally fall hardest on small companies (who are least able to afford the infrastructure / people to manage it), its important to keep in mind how solutions for “Big Tech” problems affect smaller companies and new concepts as well.
Framework for Regulating “Big Tech”
To be 100% clear, I’m not saying that the tech industry and big platforms should be given a pass on rules and regulation. If anything, I believe that laws and regulation play a vital role in creating flourishing markets.
But, instead of treating “Big Tech” as just a problem to kill, I think we’d be better served by laws / regulations that recognize the limits of regulation on tech and, instead, focus on making sure emerging companies / technologies can compete with the tech giants on a level playing field. To that end, I hope to see more ideas that embrace the following four pillars:
I. Tiering regulation based on size of the company
Regulations on tech companies should be tiered based on size with the most stringent rules falling on the largest companies. Size should include traditional metrics like revenue but also, in this age of marketplace platforms and freemium/ad-sponsored business models, account for the number of users (i.e. Monthly Active Users) and third party partners.
In this way, the companies with the greatest potential for harm and the greatest ability to bear the costs face the brunt of regulation, leaving smaller companies & startups with greater flexibility to innovate and iterate.
II. Championing data portability
One of the reasons it’s so difficult for competitors to challenge the tech giants is the user lock-in that comes from their massive data advantage. After all, how does a rival social network compete when a user’s photos and contacts are locked away inside Facebook?
While Facebook (and, to their credit, some of the other tech giants) does offer ways to export user data and to delete user data from their systems, these tend to be unwieldy, manual processes that make it difficult for a user to bring their data to a competing service. Requiring the largest tech platforms to make this functionality easier to use (i.e., letting others import your contact list and photos with the ease in which you can login to many apps today using Facebook) would give users the ability to hold tech companies accountable for bad behavior or not innovating (by being able to walk away) and fosters competition by letting new companies compete not on data lock-in but on features and business model.
I believe that is an overreaction. Platform owners offering attractive products and services (i.e., Google offering turn-by-turn navigation on Android phones) can be a great thing for users (after all, most prominent platforms started by providing compelling first-party offerings) and for 3rd party participants if these offerings improve the attractiveness of the platform overall.
What is hard to justify is when platform owners stack the deck in their favor using anti-competitive moves such as banning or reducing the visibility of competitors,crippling third party offerings, making excessive demands on 3rd parties, etc. Its these sorts of actions by the largest tech platforms that pose a risk to consumer choice and competition and should face regulatory scrutiny. Not just the fact that a large platform exists or that the platform owner chooses to participate in it.
IV. Modernizing how anti-trust thinks about defensive acquisitions
The rise of the tech giants has led to many calls to unwind some of the pivotal mergers and acquisitions in the space. As much as I believe that anti-trust regulators made the wrong calls on some of these transactions, I am not convinced, beyond just wanting to punish “Big Tech” for being big, that the Pandora’s Box of legal and financial issues (for the participants, employees, users, and for the tech industry more broadly) that would be opened would be worthwhile relative to pursuing other paths to regulate bad behavior directly.
That being said, its become clear that anti-trust needs to move beyond narrow revenue share and pricing-based definitions of anti-competitiveness (which do not always apply to freemium/ad-sponsored business models). Anti-trust prosecutors and regulators need to become much more thoughtful and assertive around how some acquisitions are done simply to avoid competition (i.e., Google’s acquisition of Waze and Facebook’s acquisition of WhatsApp are two examples of landmark acquisitions which probably should have been evaluated more closely).
Wrap-Up
This is hardly a complete set of rules and policies needed to approach growing concerns about “Big Tech”. Even within this framework, there are many details (i.e., who the specific regulators are, what specific auditing powers they have, the details of their mandate, the specific thresholds and number of tiers to be set, whether pre-installing an app counts as unfair, etc.) that need to be defined which could make or break the effort. But, I believe this is a good set of principles that balances both the need to foster a tech industry that will continue to grow and drive innovation as well as the need to respond to growing concerns about “Big Tech”.
Special thanks to Derek Yang and Anthony Phan for reading earlier versions and giving me helpful feedback!
Technology in the 1990s and early 2000s marched to the beat of an Intel-and-Microsoft-led drum.
Intel would release new chips at a regular cadence: each cheaper, faster, and more energy efficient than the last. This would let Microsoft push out new, more performance-hungry software, which would, in turn, get customers to want Intel’s next, more awesome chip. Couple that virtuous cycle with the fact that millions of households were buying their first PCs and getting onto the Internet for the first time — and great opportunities were created to build businesses and products across software and hardware.
But, over time, that cycle broke down. By the mid-2000s, Intel’s technological progress bumped into the limits of what physics would allow with regards to chip performance and cost. Complacency from its enviable market share coupled with software bloat from its Windows and Office franchises had a similar effect on Microsoft. The result was that the Intel and Microsoft drum stopped beating as they became unable to give the mass market a compelling reason to upgrade to each subsequent generation of devices.
The result was a hollowing out of the hardware and semiconductor industries tied to the PC market that was only masked by the innovation stemming from the rise of the Internet and the dawn of a new technology cycle in the late 2000s in the form of Apple’s iPhone and its Android competitors: the smartphone.
A new, but eerily familiar cycle began: like clockwork, Qualcomm, Samsung, and Apple (playing the part of Intel) would devise new, more awesome chips which would feed the creation of new performance-hungry software from Google and Apple (playing the part of Microsoft) which led to demand for the next generation of hardware. Just as with the PC cycle, new and lucrative software, hardware, and service businesses flourished.
But, just as with the PC cycle, the smartphone cycle is starting to show signs of maturity. Apple’s recent slower than expected growth has already been blamed on smartphone market saturation. Users are beginning to see each new generation of smartphone as marginal improvements. There are also eery parallels between the growing complaints over Apple software quality from even Apple fans and the position Microsoft was in near the end of the PC cycle.
While its too early to call the end for Apple and Google, history suggests that we will eventually enter a similar phase with smartphones that the PC industry experienced. This begs the question: what’s next? Many of the traditional answers to this question — connected cars, the “Internet of Things”, Wearables, Digital TVs — have not yet proven themselves to be truly mass market, nor have they shown the virtuous technology upgrade cycle that characterized the PC and smartphone industries.
This brings us to Virtual Reality. With VR, we have a new technology paradigm that can (potentially) appeal to the mass market (new types of games, new ways of doing work, new ways of experiencing the world, etc.). It also has a high bar for hardware performance that will benefit dramatically from advances in technology, not dissimilar from what we saw with the PC and smartphone.
The ultimate proof will be whether or not a compelling ecosystem of VR software and services emerges to make this technology more of a mainstream “must-have” (something that, admittedly, the high price of the first generation Facebook/Oculus, HTC/Valve, and Microsoft products may hinder).
As a tech enthusiast, its easy to get excited. Not only is VR just frickin’ cool (it is!), its probably the first thing since the smartphone with the mass appeal and virtuous upgrade cycle that can bring about the huge flourishing of products and companies that makes tech so dynamic to be involved with.
When Steve Jobs first launched the iPhone in 2007, Apple’s perception of where the smartphone application market would move was in the direction of web applications. The reasons for this are obvious: people are familiar with how to build web pages and applications, and it simplifies application delivery.
Yet in under a year, Apple changed course, shifting the focus of iPhone development from web applications to building native applications custom-built (by definition) for the iPhone’s operating system and hardware. While I suspect part of the reason this was done was to lock-in developers, the main reason was certainly the inadequacy of available browser/web technology. While we can debate the former, the latter is just plain obvious. In 2007, the state of web development was relatively primitive relative to today. There was no credible HTML5 support. Javascript performance was paltry. There was no real way for web applications to access local resources/hardware capabilities. Simply put, it was probably too difficult for Apple to kludge together an application development platform based solely on open web technologies which would get the sort of performance and functionality Apple wanted.
But, that was four years ago, and web technology has come a long way. Combine that with the tech commentator-sphere’s obsession with hyping up a rivalry between “native vs HTML5 app development”, and it begs the question: will the future of application development be HTML5 applications or native?
There are a lot of “moving parts” in a question like this, but I believe the question itself is a red herring. Enhancements to browser performance and the new capabilities that HTML5 will bring like offline storage, a canvas for direct graphic manipulation, and tools to access the file system, mean, at least to this tech blogger, that “HTML5 applications” are not distinct from native applications at all, they are simply native applications that you access through the internet. Its not a different technology vector – it’s just a different form of delivery.
Critics of this idea may cite that the performance and interface capabilities of browser-based applications lag far behind those of “traditional” native applications, and thus they will always be distinct. And, as of today, they are correct. However, this discounts a few things:
Browser performance and browser-based application design are improving at a rapid rate, in no small part because of the combination of competition between different browsers and the fact that much of the code for these browsers is open source. There will probably always be a gap between browser-based apps and native, but I believe this gap will continue to narrow to the point where, for many applications, it simply won’t be a deal-breaker anymore.
History shows that cross-platform portability and ease of development can trump performance gaps. Once upon a time, all developers worth their salt coded in low level machine language. But this was a nightmare – it was difficult to do simple things like showing text on a screen, and the code written only worked on specific chips and operating systems and hardware configurations. I learned C which helped to abstract a lot of that away, and, keeping with the trend of moving towards more portability and abstraction, the mobile/web developers of today develop with tools (Python, Objective C, Ruby, Java, Javascript, etc) which make C look pretty low-level and hard to work with. Each level of abstraction adds a performance penalty, but that has hardly stopped developers from embracing them, and I feel the same will be true of “HTML5”.
Huge platform economic advantages. There are three huge advantages today to HTML5 development over “traditional native app development”. The first is the ability to have essentially the same application run across any device which supports a browser. Granted, there are performance and user experience issues with this approach, but when you’re a startup or even a corporate project with limited resources, being able to get wide distribution for earlier products is a huge advantage. The second is that HTML5 as a platform lacks the control/economic baggage that iOS and even Android have where distribution is controlled and “taxed” (30% to Apple/Google for an app download, 30% cut of digital goods purchases). I mean, what other reason does Amazon have to move its Kindle application off of the iOS native path and into HTML5 territory? The third is that web applications do not require the latest and greatest hardware to perform amazing feats. Because these apps are fundamentally browser-based, using the internet to connect to a server-based/cloud-based application allows even “dumb devices” to do amazing things by outsourcing some of that work to another system. The combination of these three makes it easier to build new applications and services and make money off of them – which will ultimately lead to more and better applications and services for the “HTML5 ecosystem.”
Given Google’s strategic interest in the web as an open development platform, its no small wonder that they have pushed this concept the furthest. Not only are they working on a project called Native Client to let users achieve “native performance” with the browser, they’ve built an entire operating system centered entirely around the browser, Chrome OS, and were the first to build a major web application store, the Chrome Web Store to help with application discovery.
While it remains to be seen if any of these initiatives will end up successful, this is definitely a compelling view of how the technology ecosystem evolves, and, putting on my forward-thinking cap on, I would not be surprised if:
The major operating systems became more ChromeOS-like over time. Mac OS’s dashboard widgets and Windows 7’s gadgets are already basically HTML5 mini-apps, and Microsoft has publicly stated that Windows 8 will support HTML5-based application development. I think this is a sign of things to come as the web platform evolves and matures.
Continued focus on browser performance may lead to new devices/browsers focused on HTML5 applications. In the 1990s/2000s, there was a ton of attention focused on building Java accelerators in hardware/chips and software platforms who’s main function was to run Java. While Java did not take over the world the way its supporters had thought, I wouldn’t be surprised to see a similar explosion just over the horizon focused on HTML5/Javascript performance – maybe even HTML5 optimized chips/accelerators, additional ChromeOS-like platforms, and potentially browsers optimized to run just HTML5 games or enterprise applications?
Web application discovery will become far more important. The one big weakness as it stands today for HTML5 is application discovery. Its still far easier to discover a native mobile app using the iTunes App Store or the Android Market than it is to find a good HTML5 app. But, as platform matures and the platform economics shift, new application stores/recommendation engines/syndication platforms will become increasingly critical.
Regardless of how you feel about Microsoft’s products, you have to appreciate the brilliance of their strategic “playbook”:
Use the fact that Microsoft’s operating system/productivity software is used by almost everyone to identify key customer/partner needs
Build a product which is usually only a second/third-best follower product but make sure it’s tied back to Microsoft’s products
Take advantage of the time and market share that Microsoft’s channel influence, developer community, and product integration buys to invest in the new product with Microsoft’s massive budget until it achieves leadership
If steps 1-3 fail to give Microsoft a dominant position, either exit (because the market is no longer important) or buy out a competitor
Repeat
While the quality of Microsoft’s execution of each step can be called into question, I’d be hard pressed to find a better approach then this one, and I’m sure much of their success can be attributed to finding good ways to repeatedly follow this formula.
It’s for that reason that I’m completely bewildered by Microsoft’s consumer electronics business strategy. Instead of finding good ways to integrate the Zune, XBox, and Windows Mobile franchises together or with the Microsoft operating system “mothership” the way Microsoft did by integrating its enterprise software with Office or Internet Explorer with Windows, these three businesses largely stand apart from Microsoft’s home field (PC software) and even from each other.
This is problematic for two big reasons. First, because non-PC devices are outside of Microsoft’s usual playground, it’s not a surprise that Microsoft finds it difficult to expand into new territory. For Microsoft to succeed here, it needs to pull out all the stops and it’s shocking to me that a company with a stake in the ground in four key device areas (PCs, mobile phones, game consoles, and portable media players) would choose not to use one of the few advantages it has over its competitors.
The second and most obvious (to consumers at least) is that Apple has not made this mistake. Apple’s iPhone and iPod Touch product lines are clear evolutions of their popular iPod MP3 players which integrate well with Apple’s iTunes computer software and iTunes online store. The entire Apple line-up, although each product is a unique entity, has a similar look and feel. The Safari browser that powers the Apple computer internet experience is, basically, the same that powers the iPhone and iPod Touch. Similarly, the same online store and software (iTunes) which lets iPods load themselves with music lets iPod Touches/iPhones load themselves with applications.
That neat little integrated package not only makes it easier for Apple consumers to use a product, but the coherent experience across the different devices gives customers even more of a reason to use and/or buy other Apple products.
Contrast that approach with Microsoft’s. Not only are the user interfaces and product designs for the Zune, XBox, and Windows Mobile completely different from one another, they don’t play well together at all. Applications that run on one device (be it the Zune HD, on a Windows PC, on an XBox, or on Windows Mobile) are unlikely to be able to run on any other. While one might be able to forgive this if it was just PC applications which had trouble being “ported” to Microsoft’s other devices (after all, apps that run on an Apple computer don’t work on the iPhone and vice versa), the devices that one would expect this to work well with (i.e. the Zune HD and the XBox because they’re both billed as gaming platforms, or the Zune HD and Windows Mobile because they’re both portable products) don’t. Their application development process doesn’t line up well. And, as far as I’m aware, the devices have completely separate application and content stores!
While recreating the Windows PC experience on three other devices is definitely overkill, I think, were I in Ballmer’s shoes, I would recommend a few simple recommendations which I think would dramatically benefit all of Microsoft’s product lines (and I promise they aren’t the standard Apple/Linux fanboy’s “build something prettier” or “go open source”):
Centralize all application/content “marketplaces” – Apple is no internet genius. Yet, they figured out how to do this. I fail to see why Microsoft can’t do the same.
Invest in building a common application runtime across all the devices – Nobody’s expecting a low-end Windows Mobile phone or a Zune HD to run Microsoft Excel, but to expect that little widgets or games should be able to work across all of Microsoft’s devices is not unreasonable, and would go a long way towards encouraging developers to develop for Microsoft’s new device platforms (if a program can run on just the Zune HD, there’s only so much revenue that a developer can take in, but if it can also run on the XBox and all Windows Mobile phones, then the revenue potential becomes much greater) and towards encouraging consumers to buy more Microsoft gear
Find better ways to link Windows to each device – This can be as simple as building something like iTunes to simplify device management and content streaming, but I have yet to meet anyone with a Microsoft device who hasn’t complained about how poorly the devices work with PCs.
Working on tech strategy consulting case for 18 months ingrains a thing or two in your head about strategy for tech companies, so I thought I’d lay out, in one blog post the major lessons I’ve learned about how strategy in the technology sector works.
To understand that, it’s important to first understand what makes technology special? From that perspective, there are three main things which drive tech strategy:
Low cost of innovation – Technology companies need to be innovative to be successful, duh. But, the challenge with handling tech strategy is not innovation but that innovation in technology is cheap. Your product can be as easily outdone by a giant with billions of dollars like Google as it can be outdone by a couple of bright guys in a garage who still live with their parents.
Moore’s Law – When most technologists think of Moore’s Law, they think of its academic consequences (mainly that chip technology doubles every two years). This is true (and has been for over 50 years), but the strategic consequence of Moore’s Law can be summed up in six words: “Tomorrow will be better, faster, cheaper.” Can you think of any other industry which has so quickly and consistently increased quality while lowering cost?
Ecosystem linkages – No technology company stands alone. They are all inter-related and inter-dependent. Facebook may be a giant in the Web world, but it’s success depends on a wide range of relationships: it depends on browser makers adhering to web standards, on Facebook application developers wanting to use the Facebook platform, on hardware providers selling the right hardware to let Facebook handle the millions of users who want to use it, on CDNs/telecom companies providing the right level of network connectivity, on internet advertising standards, etc. This complex web of relationships is referred to by many in the industry as the ecosystem. A technology company must learn to understand and shape its ecosystem in order to succeed.
Put it all together, what does it all mean? Four things:
I. Only the paranoid survive This phrase, popularized by ex-Intel CEO Andy Grove, is very apt for describing the tech industry. The low cost of innovation means that your competition could come from anywhere: well-established companies, medium-sized companies, hot new startups, enterprising university students, or a legion of open source developers. The importance of ecosystem linkages means that your profitability is dependent not only on what’s going on with your competitors, but also about the broader ecosystem. If you’re Microsoft, you don’t only have to think about what competitors like Apple and Linux are doing, you also need to think about the health of the overall PC market, about how to connect your software to new smartphones, and many other ecosystem concerns which affect your profitability. And the power of Moore’s Law means that new products need to be rolled out quickly, as old products rapidly turn into antiques from the advance of technology. The result of all of this is that only the technology companies which are constantly fearful of emerging threats will succeed.
II. To win big, you need to change the rules The need to be constantly innovative (Moore’s Law and low cost of innovation) and the importance of ecosystem linkages favors large, incumbent companies, because they have the resources/manpower to invest in marketing, support, and R&D and they are the ones with the existing ecosystem relationships. As a result, the only way for a little startup to win big, or for a large company to attack another large company is to change the rules of competition. For Apple, to win in a smartphone market dominated by Nokia and RIM required changing the rules of the “traditional” smartphone competition by:
Building a new type of user-interface driven by accelerometer and touchscreen unlike anything seen before
Designing in a smartphone web browser actually comparable to what you’d expect on a PC as opposed to a pale imitation
Building an application store to help establish a new definition of smartphone – one that runs a wide range of software rather than one that runs only software from the carrier/phone manufacturer
Bringing the competition back to Apple’s home turf of making complete hardware and software solutions which tie together well, rather than just competing on one or the other
Apple’s iPhone not only provided a tidy profit for Apple, it completely took RIM, which had been betting on taking its enterprise features into the consumer smartphone market, and Nokia, which had been betting on its services strategy, by surprise. Now, Nokia and every other phone manufacturer is desperately trying to compete in a game designed by Apple – no wonder Nokia recently forecasted that it expected its market share to continue to drop.
But it’s not just Apple that does this. Some large companies like Microsoft and Cisco are masters at this game, routinely disrupting new markets with products and services which tie back to their other product offerings – forcing incumbents to compete not only with a new product, but with an entire “platform”. Small up-and-comers can also play this game. MySQL is a great example of a startup which turned the database market on its head by providing access to its software and source code for free (to encourage adoption) in return for a chance to sell services.
III. Be a good ecosystem citizen Successful tech companies cannot solely focus on their specific markets and product lines. The importance of ecosystem linkages forces tech companies to look outward.
They must influence industry standards, oftentimes working with their competitors (case in point: look at the corporate membership in the Khronos Group which controls the OpenGL graphics standard), to make sure their products are supported by the broader industry.
They oftentimes have to give away technology and services for free to encourage the ecosystem to work with them. Even mighty Microsoft, who’s CEO had once called Linux “a cancer”, has had to open source 20,000 lines of operating system code in an attempt to increase the attractiveness of the Microsoft server platform to Linux technology. Is anyone surprised that Google and Nokia have open sourced the software for their Android and Symbian mobile phone operating systems and have gone to great lengths to make it easy for software developers to design software for them?
They have to work collaboratively with a wide range of partners and providers. Intel and Microsoft work actively with PC manufacturers to help with marketing and product targeting. Mobile phone chip manufacturers invest millions in helping mobile phone makers and mobile software developers build phones with their chip technology. Even “simple” activities like outsourcing manufacturing requires a strong partnership in order to get things done properly.
The largest of companies (e.g. Cisco, Intel, Qualcomm, etc) takes this whole influence thing a whole step further by creating corporate venture groups to invest in startups, oftentimes for the purpose of influencing the ecosystem in their favor.
The technology company that chooses not to play nice with the rest of the ecosystem will rapidly find itself alone and unprofitable.
IV. Never stop overachieving There are many ways to screw up in the technology industry. You might not be paranoid enough and watch as a new competitor or Moore’s Law eats away at your profits. You might not present a compelling enough product and watch as your partners and the industry as a whole shuns your product. But the terrifying thing is that this is true regardless of how well you were doing a few months ago — it could just as easily happen to a market leader as a market follower (i.e. Polaroid watching its profits disappear when digital cameras entered the scene). As a result, it’s important for every technology company to keep their eye on the ball in two key areas, so as to reduce the chance of misstep and increase the chance that you recover when you eventually do:
Stay lean – I am amazed at how many observers of the technology industry (most often the marketing types) seem to think that things like keeping costs low, setting up a good IT system, and maintaining a nimble yet deliberate decision process are unimportant as long as you have an innovative design or technology. This is very short-sighted especially when you consider how easy it is for a company to take a wrong step. Only the lean and nimble companies will survive the inevitable hard times, and, in good times, it is the lean and nimble companies which can afford to cut prices and offer more services better than their competitors.
Invest in innovation – At the end of the day, technology is about innovation, and the companies which consistently grow and turn a profit are the ones who invest in that. If your engineers and scientists aren’t getting the resources it needs, no amount of marketing or “business development” will save you from oblivion. And, if your engineers/scientists are cranking out top notch research and development, then even if you make a mistake, there’s a decent chance you’ll be ready to bounce right back.
Obviously, each of these four “conclusions” needs to be fleshed out further with details and concrete analyses before they can be truly called a “strategy”. But, I think they are a very useful framework for understanding how to make a tech company successful (although they don’t give any magic answers), and any exec who doesn’t understand these will eventually learn them the hard way.