Organisations want to appear cutting-edge. Employees want to seem productive. Somewhere in that desire, the goal gets inverted. Instead of using artificial intelligence to actually do better work, it becomes a tool for looking like you’re doing better work. And once that becomes the measure of success, the outcome is predictable: people stop thinking harder. They simply produce more things that look like they’ve been thought through.

This phenomenon—what critics call ‘performative AI adoption’—is increasingly common across British and international workplaces. Companies rush to implement AI systems not because they solve genuine problems, but because they fear being left behind in the technology race. The pressure to demonstrate innovation to investors, clients and competitors often outweighs the unglamorous work of actually improving processes.

The consequences are significant. Workers spend energy creating the appearance of AI-driven efficiency rather than engaging in genuine problem-solving. Organisations generate more outputs without meaningful improvement in quality. The technology becomes window dressing rather than a genuine transformational tool—what some in the industry call ‘AI theatre’.

For organisations serious about meaningful innovation, the challenge is straightforward: resist the temptation to use AI merely for optics. The harder path—but ultimately the more rewarding one—requires asking difficult questions about what problems need solving, implementing tools thoughtfully, and measuring success by actual outcomes rather than the visibility of technological adoption.

Source: Ynet — Original article in Hebrew.