The Artisans Building the Digital Foundation of Enterprises
At 2 a.m., when the final conditional branch of an approval process finally closes, I stare at the perfectly functioning business model on my screen—and the first thought that crosses my mind is: Am I about to become obsolete?
As the “foundation construction crew” for enterprises, we Lark administrators and business analysts practice the most grueling—and most meticulous—craft. We plunge headfirst into the muddy trenches of frontline operations, translating chaotic, fragmented, and even self-contradictory requirements into cold, precise digital logic.
This is the battlefield of hand-built systems. We habitually exhaust every relational field in multidimensional tables, ensuring data interlocks with surgical precision across sheets; we obsess over every conditional branch in approvals, guaranteeing cross-departmental collaboration runs without a hitch; and we codify thick SOPs in documents, transforming tacit expertise into explicit knowledge. Instant messaging, calendars, video conferencing, and approvals—these foundational capabilities, taken for granted by most, are assembled by us into a finely tuned engine powering vast organizations.
Watching workflows once driven by shouting and constant follow-ups now glide through the system like silk—this godlike sense of creation is irreplaceable by any shortcut. It’s the quiet joy unique to artisans: brick by brick, night after sleepless night, we build the digital moat protecting our enterprises.
Yet the deeper the foundation, the more acutely we feel the tremors. As third-party AI assistants and intelligent work agents begin quietly taking over the collaborative infrastructure, where do the talents of hand-builders belong? We forged the engine ourselves—only to hear, faintly, the engine trying to replace its own makers. The more exquisite the model, the more poignantly fragile it appears amid the tectonic shift of paradigms.
I Hope the One Who Revolutionizes Me Is Myself
In the past, we burned the midnight oil, wrestling with each conditional branch—locking down business boundaries with endless if-else statements. Today, typing just a few natural-language prompts into a screen yields rigorously structured multidimensional tables from a third-party AI assistant. In an instant messaging chat window, issuing a command summons an intelligent work agent to autonomously orchestrate an entire approval flow.
It’s a paradox that sends chills down your spine.
We used to believe firmly that the more thoroughly we mapped business logic—and the more exhaustive our SOPs—the deeper our personal moat would become. Reality proves the opposite: the clearer your rules, the shorter the time until AI takes them over and replaces you. The “table-building” craft we once proudly mastered is being rapidly deconstructed by tireless AI office tools. When machines become the new masters of table-building, the human builder’s value seems increasingly undermined—by standards we ourselves set.
The more refined the model, the more readily it becomes algorithmic fodder.
Even if I stopped working today, this wave remaking the collaborative workplace foundation would still sweep forward mercilessly. Technological momentum never bends to individual nostalgia. On one side lies the warmth of handcrafted refinement; on the other, the cold, crushing force of computational power. The more we resist, the more futile our efforts appear—like an ant attempting to halt a locomotive. We laid the iron rails of digital transformation, only to realize we’re standing right in the middle of the track, moments before the train arrives.
If the old city walls are destined to fall—and if artisans must inevitably face the baptism of the mecha era—then, if revolution is unavoidable, I hope it is *I* who revolutionizes myself. Rather than lamenting the burial of talent in passive replacement, let’s step boldly into the cockpit—and grasp the control lever of the new mecha.
From Table Builder to Mecha Pilot
The moment I stepped into the cockpit, it hit me: “Career transition” isn’t about shattering one’s livelihood—it’s about a complete reconstruction of the production paradigm.
Once, we were scrupulous “table builders.” We obsessed over every conditional branch inside Lark’s multidimensional tables; we exhaustively enumerated every exception node within approval flows. We patched business logic with our own bodies, trading sleepless nights for fragile data handshakes between systems.
Now, the foundation has changed. Lark’s ecosystem is expansive enough—its instant messaging, calendar, video conferencing, and document features are like standardized hydraulic interfaces, enabling seamless integration of diverse third-party AI assistants and intelligent work agents. The physical boundaries of collaboration have dissolved; data is no longer siloed but flows as lifeblood across computational networks.
So I no longer configure tedious automation rules line by line. I step back—and become a “mecha pilot.”
It’s a brutal yet mesmerizing detachment. My core weapon shifts from “proficient configuration” to “holistic oversight”: leveraging sharp, intuitive understanding of high-level business needs to issue precise instructions to agents; setting safety boundaries and evaluating output solutions for intelligent work agents deep within system engineering territory. Humans define *what* to do—and *what must not be done*; machines exhaust *how* to do it.
Still, watching a third-party AI assistant assemble an entire business workflow in seconds always stirs a complex, indescribable feeling.
More gears fill my hands—but the quiet joy of hand-built craftsmanship fades from my heart.
I trade the hammer that struck code for the scepter that commands computational power. This is not compromise—it’s a painful, deliberate evolution. When artisans learn to pilot mechas, the buried talent will ultimately break ground again—on a higher plane.
Deeper Anxiety: The Collapse of Business Logic Foundations
Only when the barrier to building is completely flattened does true fear begin.
On Lark’s foundation, multidimensional tables and approval flows were once surgical scalpels for mapping enterprise anatomy. Now, that scalpel has been handed to everyone. Someone who’s never navigated the deep waters of business operations can, with just a few vague prompts to a third-party AI assistant, generate what appears to be a rigorous approval flow and data dashboard—in minutes.
Barriers vanish—but so does the carnival of “process spaghetti.”
Forms untempered by business-logic rigor sprout like weeds across the organization. Redundant fields, deadlocked nodes, data gaps… The avalanche of processes generated instantly by AI—by people unfamiliar with system design—not only fails to boost efficiency but accelerates enterprise management toward the abyss of amateurish improvisation. We think we’re embracing intelligence—yet we’re using algorithmic diligence to mask our own laziness in business thinking.
A deeper collapse unfolds inside the minds of human engineers.
In the past, exceptional architects relied on an “intuitive moat” built through grappling with complex systems—working through logic in Lark documents, forging consensus in meetings, and ultimately crystallizing designs of rare sophistication. Today, however, as intelligent work agents return “correct but banal” solutions in seconds, humans’ sensitivity to system abstraction is quietly eroded. The more we rely on machine feedback, the more we lose our ability to discern the essence of business amid chaos.
This isn’t merely technological backlash—it’s the undercurrent of organizational power.
When anyone can summon AI office tools to build business workflows, what determines whether a system gets implemented is no longer the architect’s business insight—but the initiator’s job title and authority.
When code and process cease to be moats, power becomes the sole passport. Amid this dizzying sprint of digital transformation—are we reshaping management with technology, or using technology to endorse management’s arrogance?
This Is Not a Soliloquy of One Person
“Is staying up late learning how to configure complex automated workflows equivalent to joining the Nationalist Army in 1949?”
After the article was published late at night, this wry, dark-humored comment rose to the top of the comments section. Like a needle, it precisely punctures the professional dignity of formally trained digital specialists confronting technological leaps. No one mocks his hesitation—because the list of likes is filled with architects and implementation consultants, all staring blankly at their screens late into the night.
The industry talks openly about the “accelerating collapse of skill obsolescence.” When intelligent work agents can instantly generate standard business workflows calling upon approvals, calendars, and documents, those once-prized complex configuration skills are visibly crumbling into sunk costs. We built the digital Tower of Babel ourselves—only to find ourselves the first bricks forgotten at its base; on one side roars unstoppable computational power, on the other floats craftsmanship with nowhere to land.
But someone must remain in the trenches.
I choose to stay anchored in the Lark ecosystem—not out of nostalgia for past glories, but because of its openness and inclusivity as a collaborative foundation. Lark’s foundational capabilities—its instant messaging, multidimensional tables, documents, and video conferencing—form a resilient container. It allows diverse third-party AI assistants and intelligent work agents to integrate ubiquitously, making inclusive human-machine collaboration a tangible reality. Within this ecosystem, technology ceases to be the privilege of a select few—and instead becomes the rope that pulls enterprise digitalization back from the edge of chaos and opacity onto the right track.
Artisans may age—but someone must still reinforce the foundations of the digital world.
Yesterday’s talent lies buried. The new mecha has already powered up.