Danny Hamam: The Relentless Struggle to Keep Up
Even during his leisure hours, Danny Hamam grapples with a profound sense of inadequacy. A software engineer residing in New York City, he articulates that each emerging AI tool release triggers a fresh wave of trepidation.
“My initial reaction isn’t one of excitement over the latest AI innovation; rather, it’s a sinking feeling of being left behind. I immediately think, ‘I must learn this without delay,'” Hamam confides. “This thought process can provoke sheer panic.”
Hamam, like many peers in technology, faces an onslaught of AI tools that gained momentum with the debut of ChatGPT in late 2022. The subsequent fervor has seen tech titans like Anthropic, Google, and OpenAI engaged in an unrelenting competition to unveil superior models.
Danny Hamam, a New York-based software engineer, noted that the relentless pace of technological advancement can be overwhelming.
The monthly frequency of significant model releases has surged approximately fourfold since 2023, according to Peter Assentorp, a developer and designer from Denmark who has established a comprehensive database to track the burgeoning capabilities of AI.
“The rapidity reached a point where I struggled to keep abreast of the latest and most effective models, despite my daily engagement with these technologies,” he remarked.
Assentorp documented a startling increase in major AI releases, from 18 in 2023 to 69 by 2025. As of mid-2026, leading AI firms introduced an additional 30 models.
“The Great Coding Reset” is an extensive series examining the transformative effects AI has inflicted on software engineering.
The swift tempo of AI rollouts often renders the pursuit of mastering any single tool seem Sisyphean, asserts Jack Boudreau, CEO and co-founder of Habits, a fintech enterprise specializing in financial planning.
“It hardly seems beneficial to become a domain expert, for nearly every week brings a simplification of existing tools,” he stated.
While AI’s advancements promise increased productivity and enthusiasm, they concurrently demand an unprecedented pace of adaptation, as many software engineers shared with Business Insider. For several, the relentless information onslaught breeds paralysis and the belief that the tools they are urged to master are beginning to overshadow their expertise.
“This is merely the beginning,” cautioned Sacha Greif, a developer stationed in Japan. He anticipates that AI giants will eventually render many stand-alone software products, including project management tools, redundant, thereby constricting opportunities for existing companies in that sector. “I foresee a significant attrition within the industry.”
Coding represents AI’s first landmark breakthrough in the workforce, positioning millions of software developers as pioneers in this seismic shift while affording other professional sectors a glimpse of the impending existential recalibration.
The Erosion of Agency
The specter of this future looms ominously for those anxious about potential job displacement. Greif oversees the tech research publisher Devographics, which recently conducted an extensive developer survey encompassing approximately 7,000 respondents. Notably, over four in ten indicated that AI tools constitute a threat to their job security.
Such apprehensions are exacerbated by the accelerating transformation of work itself. As AI assumes a greater share of coding responsibilities, developers increasingly find themselves tasked with overseeing and managing these systems—with agents now capable of executing prompts independently.
The rapid advancements in AI present both opportunities for greater productivity and challenges in adapting to an escalating pace of change.
“We are crafting the machine that constructs the machines,” remarked Annie Vella, a developer from New Zealand.
Notably, these transformations have not yet precipitated a downturn in hiring; recent job postings for software development have subtly increased. Nonetheless, concerns extend beyond fears of replacement—developers are compelled to reassess their relationship with their craft. Each successive model is becoming increasingly adept at coding, leading some to question the ramifications of tools capable of performing tasks they spent years perfecting.
Some developers fear that AI may increasingly dictate their workflow, undermining their skills and relegating them to the status of “service drones” for the technology, a concern articulated by Cary Cooper, a professor at the University of Manchester’s business school.
Cal Newport, an author and Georgetown University computer science professor, remarked that “the concentrated effort required to code from the ground up offers deeper satisfaction in the long run” compared to simply overseeing bots.
“Endlessly awaiting models to generate code — what many refer to as ‘botsitting’ — is patently tedious,” Newport noted.
Simultaneously, employees encounter heightened pressure from employers to fully embrace AI. Companies are deploying dashboards to monitor staff AI usage, assess AI token consumption, and integrate AI adoption into performance evaluations.
Herminia Ibarra, an organizational behavior professor at London Business School, observes that some of this pressure stems from organizations and managers who overvalue how quickly engineers can assimilate AI capabilities and misunderstand the technology’s capabilities—ultimately evaluating workers against unreasonable expectations.
“Engineers find themselves in a quandary, as they are admonished to deliver innovation while maintaining the status quo,” she lamented.
Ben Eubanks, an analyst and researcher specializing in HR technology and workforce trends, notes that anxiety among some software engineers has escalated to the point that some are considering career shifts into sales or support roles.
Exploring the Boundaries of Optimization
Conversely, not all feel the burden of exhaustion. Developer Rafa Rafael asserts that AI has enabled him to spend less time on troubleshooting and more time on understanding requirements and conceptualizing features.
“I feel more integrated into the overall product — not merely the code,” expressed Rafael, who resides in the Philippines.
As a developer, Angga Pratama now oversees workflows and manages multiple AI tools concurrently, a transition he claims has heightened the mental demands of his profession.
“As processes accelerate, the focus shifts from ‘Can I complete this?’ to ‘How much more can I optimize?'” stated Pratama, based in Indonesia.
For many, discussions surrounding technology are inescapable. Whether at work, on digital platforms, or in everyday interactions, conversations about AI persist relentlessly.
Akshyae Singh, whose academic background includes cognitive science with a concentration in computing and AI from UCLA, endeavors to channel his uncertainties into actionable initiatives via his San Francisco startup, Frame, which supports creators producing content on AI and its societal effects.
According to Hamam, a silver lining exists in recognizing his accomplishments and learning throughout recent years.
Singh forecasts that human capacity will ultimately prove inadequate in keeping pace with AI technologies. “It is biologically implausible,” he posited.
Though Rafael has recently embraced the potential of AI, his journey involved significant adjustment. Initially, he found AI more burdensome than traditional coding, spending extra hours refining prompts. He now forgoes coding in his free time, preferring to engage with family, relax, or enjoy television. He has also stopped attempting to stay current with each new AI release.
“Given the perpetual influx of innovations, I only delve into those I believe will meaningfully enhance my work,” Rafael commented.
The challenges faced are as much organizational as they are personal. Numerous engineers contend with the dual anxiety of staying up to date on AI while simultaneously contemplating its implications for their careers, as noted by Kathy Gersch, CEO of the change-management firm Kotter.
To “dampen some of the dissonance,” she advised that companies empower employees to share insights gained from learning. This approach fosters a sense of collective momentum, allowing workers to feel as though they are “navigating the tide, rather than being overwhelmed by it.”
Despite the anxieties associated with AI, Hamam, a New York software engineer, highlighted a silver lining: recognition of his growth and achievements in recent years.
“You’re accomplishing tasks you never thought possible, driven by the added impetus,” he reflected.
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