Major technology firms and financial institutions are implementing new strategies to compel employees to adopt artificial intelligence tools, with performance reviews and internal tracking becoming key levers. The push comes as companies seek tangible returns on billions spent developing and deploying AI, while facing worker apprehension about job security and simple inertia to change.
According to exclusive reporting, firms like Meta, Google, and JPMorgan Chase are using a combination of mandates, goals, and monitoring to boost productivity through AI. Meta has set specific adoption targets for engineers and formed dedicated AI "pods," while Google managers can now require the use of AI assistants for certain tasks.
Reviews, Dashboards and Mandates
At JPMorgan Chase, internal dashboards categorise employees as light, heavy, or non-users of AI tools, directly influencing management oversight. "I think the most important thing right now is for you guys to just get familiar with the tooling. This is what the job's going to look like no matter what," a JPMorgan software engineer paraphrased their manager's message.
Performance reviews—critical for raises and promotions—are a focal point. Companies are experimenting with ways to secure worker buy-in for AI, a challenge compounded by employee fears that using the technology is "training their own replacements" amid a wave of AI-related layoffs.
The Drive for Returns and Competitive Edge
Analysts cite multiple pressures driving this corporate push. Eric Ross of Cascend stated that "the vast majority are not getting any productivity" return on AI investments. Brad Reback of Stifel added that a fear of competitors gaining an edge is potent: "There's the fear you'll get left behind."
For AI toolmakers, widespread adoption is economically vital. "They need significant amounts of adoption," Reback said, to justify continued high spending. Public messaging is also a factor, with Ross noting management seeks "the appearance of not falling behind."
Engineers are typically the first targets, but the push is expanding. Google now expects some non-technical staff to use AI for creating strategy documents, analysing sales calls, and generating customer insights.
Historical Resistance and the Path to Adoption
Resistance to new technology is not new. Stanford University economics professor Erik Brynjolfsson referenced textile workers destroying weaving machines during the Industrial Revolution. Scott A. Snyder, a senior fellow at the Wharton School, pointed to similar patterns with mobile apps and e-commerce.
However, AI's pervasive reach makes this challenge broader. To overcome it, Brynjolfsson and Snyder say companies must adjust messaging, build trust, and offer incentives like "gain sharing," where employees keep part of the value they create with AI.
Initiatives like Meta's AI "Transformation" weeks, featuring workshops, and Google's encouragement to experiment with tools like the internal coding assistant "Agent Smith" are part of this effort. A Meta spokesperson told Business Insider that "using AI to help employees with their day-to-day work" is a known priority.
Anxiety and the Future of Work
The tension is palpable. A JPMorgan engineer joked colleagues feel their degrees "are going to be useless in five years." A worker affected by recent layoffs at Jack Dorsey's Block expressed the anxiety of building "the foundations for our own replacement" by using mandated AI tools.
Looking ahead, one emerging idea is offering AI computing power as part of compensation packages, akin to stock or bonuses. Snyder argues the key to adoption is showing AI can eliminate drudgery, not just increase workloads. "If it's just doing more with less, that's not a very exciting proposition," he said. Employees need time to experiment and reach their own "AI moment" of epiphany before trust and widespread use follow.