TLDR: OpenAI CEO Sam Altman has voiced strong criticism against Slack, stating that the popular communication platform creates a significant amount of ‘fake work.’ Despite OpenAI’s reliance on Slack, Altman believes it contributes to an overwhelming daily routine for knowledge workers. He envisions a future where AI agents fundamentally transform office productivity suites, moving beyond superficial integrations to a system where AI handles routine tasks and escalates only when necessary.
Sam Altman, the CEO of OpenAI, the company at the forefront of the artificial intelligence revolution, has openly expressed his frustrations with modern office communication tools, specifically Slack. In candid remarks, Altman stated that while Slack has its positives, it also generates a considerable amount of ‘fake work,’ contributing to an overwhelming start and end to his day. ‘I dread the first hour of the morning, last hour before I go to bed where I’m just dealing with this explosion of Slack and I think it does create a lot of fake work,’ Altman commented.
This critique comes despite the fact that OpenAI itself largely operates on Slack, having adopted it as a primary replacement for email. Altman’s use of the term ‘fake work’ suggests that much of the activity on platforms like Slack gives the illusion of productivity without necessarily advancing meaningful objectives.
Looking ahead, Altman outlined a vision for a new generation of productivity software, one that would fundamentally replace existing tools such as documents, slides, email, and Slack. He anticipates an ‘AI-driven version of all of these things.’ However, he was explicit that this vision is not about superficial AI integrations, where users might accidentally trigger an AI to write a document or summarize a thread. Instead, Altman envisions a more profound shift: ‘The actual version of like, you are trusting your AI agent and my AI agent to work most stuff out and escalate to us when necessary.’
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This perspective highlights a growing sentiment of ‘Slack fatigue’ among knowledge workers, who often report feeling overwhelmed by constant notifications and the pressure for immediate responses. Altman’s comments signal a potential paradigm shift towards AI agents that autonomously manage routine coordination, bringing human attention only to matters requiring genuine judgment. He concluded with cautious optimism, suggesting that a truly effective solution for this new era of productivity is ‘probably finally a good solution for someone to make within reach.’ The irony is not lost that the leader of the company best positioned to develop such AI-driven tools is the one articulating the urgent need for them, hinting that the current era of productivity software may be nearing its end.
