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AI Adoption and Workforce Trends
Comparison of tech company approaches to AI integration and staffing.
Primary Sources
DoorDash CEO says AI is making engineers faster, but productivity isn't ...
DoorDash's CEO says AI-led productivity isn't everything. Bloomberg/Getty Images 2026-05-07T04:44:00.161Z Tony Xu says AI boosted productivity at DoorDash, but it hasn't yet changed the workforce structure. DoorDash is focused on unifying its tech stack and making all employees AI-capable. Unlike other tech execs, Xu emphasized AI productivity gains without workforce reductions. One tech CEO says AI has not yet changed his workforce structure. "We're seeing a lot of productivity gains right now from AI, about well north of half of our code, probably closer to two-thirds of our code is written by AI today," DoorDash CEO Tony Xu said on an earnings call on Wednesday. "But that doesn't alone articulate how workflows and team setup ought to change."Xu, who cofounded the delivery app in 2013, said the company is in the midst of deciding how productivity gains may change team structures or head count. But two other things come first."The top priority for us right now is definitely making sure that we can get all teams onto a single tech stack," he said. "The second priority is to make sure that everyone in the company, not just the engineers, is as AI-capable as anyone else."Xu said that while DoorDash is delivering features and projects faster, customers hold the company to a much higher standard. "We're being more productive. We're shipping more code. But the ultimate question I have is, are we actually delivering better outcomes for customers?" he said.Xu's remarks differ from what many leaders are saying about the technology this year.Across tech, executives are touting AI-led productivity gains and saying that between 50% to 90% of their code is now AI-generated. AI is also increasingly being cited as a reason for layoffs.In March, Australian-American software company Atlassian announced it would cut 1,600 jobs, about 10% of its global workforce."It would be disingenuous to pretend AI doesn't change the mix of skills we need or the number of roles required in certain areas. It does," CEO Mike Cannon-Brookes wrote in a message to employees.On Tuesday, Coinbase CEO Brian Armstrong announced that the company would slash 14% of its workforce, or about 700 workers.In a post on X, Armstrong shared an email that he said he sent to workers. He cited two factors for the cuts: a volatile market and AI changing the way people work."Over the past year, I've watched engineers use AI to ship in days what used to take a team weeks," Armstrong said. He added: "The pa...
Making AI Productivity Deliver Real Value | BCG
CEOs are under relentless pressure to deliver on two fronts: driving growth while keeping costs firmly under control. Recent BCG research suggests that managing costs ranks as the second-highest source of stress for CEOs today, just behind hitting growth targets. AI and automation can address both challenges, but that isn’t always what happens.AI enables organizations to produce more, respond faster, and improve service levels. But in most cases, that capacity is not strategically redeployed, as the underlying structure of work remains intact. Steps, layers, approvals, and other kinds of drag persist, even as capacity grows. Despite significant investment, many companies find their cost bases unchanged, or even rising, as new technology adds to the burden.To solve this challenge, CEOs must translate AI-driven capacity into lower costs and higher performance, freeing up the financial resources needed to fund growth. The path forward is to connect AI deployment with deliberate choices about work, roles, and structure.From Productivity to Performance Cost transformations are difficult to maintain. Over time, layers are added, processes fragment, ownership becomes diffused, and overhead builds. Work accumulates without being fundamentally rethought, and a culture of cost discipline begins to erode.Under pressure, leadership attention gravitates toward what is most visible—budgets, headcount, discretionary spending, short-term targets. These levers are tangible and immediate, but leave the underlying structure of work untouched, allowing complexity to build over time. In this environment, introducing AI often accelerates activity but fails to eliminate it.Leaders need to look beneath the surface: at how decisions are made, how roles are defined, and how much low-value activity is embedded in day-to-day operations. As AI reshapes roles, the nature of work is shifting toward higher levels of judgment, coordination, emotional intelligence, and problem solving. Leaders need to rethink what work should exist in the first place and how it should be executed.That means going beyond acceleration to elimination and simplification, reducing the number of steps in a process, collapsing layers of review, clarifying decision rights, and removing duplicative efforts. It also means redefining roles rather than simply reducing them, stripping out unnecessary steps before digitizing processes, and aligning incentives and behaviors with new ways of working.The Big Questions Orga...
DoorDash unveils AI toolkit to auto-onboard restaurants, sharpen menu ...
DoorDash has rolled out a suite of AI-powered tools designed to speed merchant onboarding, polish menu photography and turn app content into merchant websites, the company announced in reporting by TechCrunch. The features are aimed at cutting the time and manual work required for restaurants to get listed and to present menu items online, while adding new marketing and commerce capabilities.
DoorDash Used Copilot to Convert Its XCTest-Based iOS Test ... - InfoQ
Using Copilot along with strong reliability safeguards, DoorDash migrated their iOS XCTest-based test suite to Swift Testing, thus modernizing a large test suite quickly, safely, and with ...
