The rapid pace of technological advancement, particularly in the realm of artificial intelligence and the Internet of Things (IoT), is ushering in a new and often overlooked phase: the maintenance era. This shift, highlighted by the ongoing challenges in developing robust AI verification tools and the constant upkeep required for smart devices, demands a fundamental re-evaluation of how we prioritize innovation versus sustainability in the tech landscape. The realization that software, by its very nature, decays and requires continuous attention is becoming increasingly critical for both consumers and businesses.
The Evolving Landscape of Digital Upkeep
The genesis of this discussion can be traced to a recent webinar focused on the integration of generative AI within journalism. A palpable frustration emerged when a panelist lamented the reluctance of newsroom developers to invest in sophisticated AI verification tools. The core of their dilemma, as articulated, is the ever-evolving nature of deepfakes and synthetic media, which necessitates a perpetual cycle of tool refinement. This challenge resonates deeply with the everyday experiences of technology users. For years, individuals have grappled with the relentless maintenance demanded by their smart homes, smartphones, and a myriad of other tech services. This isn’t merely about applying routine security patches; it extends to intricate adjustments such as reconfiguring home automation rules when a service provider alters its API protocols or deciphering new workflows when integrations between platforms like Zapier and other digital services are discontinued. Even seemingly minor changes, like a car manufacturer issuing a software update that relocates dashboard information, can introduce friction and require users to adapt.
The Friction of Constant Change
Living with technology, by definition, means existing in a state of flux. While this reality is intuitively understood, our operational and mental frameworks have yet to fully adapt to this perpetual need for change. Recognizing the inherent value of a connected device due to its potential for continuous feature expansion is one aspect. However, experiencing frustration when the user interface changes or when a new setting on a smart appliance yields unexpected results, like overcooking a meal, presents a different challenge. The jarring nature of these disruptions arises because most individuals are not inherently equipped to manage constant change across all facets of their lives. This friction points to a disconnect between the rapid evolution of technology and human capacity for adaptation.
Business Models and the Innovation vs. Maintenance Dilemma
The operational challenges extend beyond individual users and are deeply embedded within the business models of technology companies. Google’s approach to product development serves as a salient example. Historically, Google has incentivized its employees through rewards and recognition for the creation of new tools and software. This system inherently fosters a culture where innovation is prioritized, as career advancement is often tied to invention. While this drive for novelty has yielded groundbreaking products, it can inadvertently lead to a state of decay for existing tools. Furthermore, it can result in slower responses when external partners make changes that impact Google’s services.
This prioritization of innovation over maintenance is not unique to Google. A similar conflict is often observed in industrial settings, where IT departments may clash with operations engineers. IT staff might advocate for the adoption of new automations and technologies, while operations engineers, drawing on decades of experience, may express hesitation. Their reluctance often stems from a deep understanding of established processes that are designed for consistency and predictability. Introducing IT-driven changes can inject a degree of entropy, necessitating new maintenance procedures that IT personnel may not always be prepared or willing to undertake.
While the operational technology (OT) side of industry often possesses an established culture that values maintenance, the information technology (IT) sector has historically lagged in this regard. This disparity is becoming increasingly problematic as computing capabilities are integrated into a growing number of devices and processes. Software, by its nature, decays. This decay is not a gradual process; it can be remarkably rapid, especially in the fast-paced world of digital services.
The Growing Impact of Software Decay
The inevitable decay of software will continue to exert a more profound influence on our daily lives. Consequently, there is a pressing need to incentivize developers to focus not only on innovation but also on robust maintenance. This necessitates allocating dedicated time within work weeks for employees to adapt to new user interfaces or evolving service functionalities. Moreover, it requires allowing them the space to explore and experiment with new tools and advancements, recognizing these activities as integral to productive work, not as peripheral distractions.
A New Ethos for a Changing World
Much like legal and medical professions mandate continuing education to keep practitioners abreast of evolving knowledge and practices, any profession that regularly engages with technology—which, by extension, will soon encompass nearly all professions—requires a similar ethos. This ethos must both incentivize and support employees in their efforts to adapt to continuous change. This includes, but is not limited to, the significant advancements being driven by artificial intelligence.
While fostering a more curious and engaged workforce is essential, the burden of mustering the necessary energy and enthusiasm cannot fall solely on employees. The ongoing maintenance of services and the adaptation to changing software and digital offerings must be recognized as an economic value in itself and treated as such.
Reimagining Consumer and Business Models
On the consumer front, this could translate into a shift towards subscription models for products. Such models could ensure that the companies behind these products have the financial resources to cover ongoing developer costs for maintenance. Alternatively, companies might adopt a model where products are sold with a clearly defined expiration date for their maintenance support.
For businesses, integrating intelligence into everyday products requires a paradigm shift. The focus cannot solely be on developing new features and pushing for innovation. A comprehensive strategy must address how these products will be maintained and, crucially, how that maintenance will be financed. As computing power increasingly infiltrates our workflows and an ever-growing number of jobs demand the ability to embrace new innovations, businesses must invest in maintaining and enhancing their employees’ skills.
The relentless pursuit of constant innovation can be profoundly exhausting. Because this innovation is currently heavily reliant on software, it is inherently prone to rapid entropy. It is imperative that we place a commensurate value on the people and the time required to counteract this entropy. Simultaneously, we must ensure that both employees and consumers are afforded the necessary space and support to adjust to these continuous changes. This is not merely a matter of convenience; it is a fundamental requirement for sustainable technological integration.
The author’s previous newsletter, from which this article is adapted, was published on August 18, 2023, marking the author’s final contribution to that publication. The insights shared reflect a culmination of experience and observation within the rapidly evolving technological landscape. The call for a "maintenance era" represents a forward-looking perspective on the challenges and opportunities that lie ahead as technology becomes even more deeply embedded in our lives.
