Algorithms Will Reshape Our Reading and Writing Practices
Summary
IFTF forecaster Rebecca Shamash argues that AI tools are rapidly reshaping not just how people write, but how they think — shifting knowledge workers from analysis and synthesis toward verification and task stewardship. With 86% of higher education students already using AI and ChatGPT reaching 800M weekly users, AI-mediated reading and writing is becoming normalized against a backdrop of declining reading participation and falling student literacy scores. The deeper risk, she argues, is not illiteracy but cognitive passivity: outsourcing the acts of wrestling with text and forming arguments to machines that optimize for coherence, not truth.
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Signal Graph
Second Order
Organizations deploying AI writing and summarization tools at scale are quietly degrading the analytical substrate they depend on — the same workforce being 'augmented' is losing practice with the cognitive moves that produce original judgment. The CMU/Microsoft finding that AI shifts workers from evaluation toward verification is a leading indicator: institutional reasoning quality will decline before anyone measures it, because output volume will look fine.
Third Order
Over a 3-5 year horizon, the scarcity of genuine deep expertise and independent analytical judgment becomes a structural competitive advantage — rare enough to price as a premium capability. Organizations that treated critical thinking as a commodity assumption will face compounding epistemic debt: decisions built on AI-synthesized inputs, verified by workers who never developed the muscle to interrogate them. The information ecosystem itself may bifurcate into high-trust curated channels and undifferentiated AI slop, forcing institutions to rebuild provenance and verification infrastructure from scratch.