CMAT · Language Comprehension

Reading comprehension

Main idea, inference, detail, vocabulary in context.

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  • Q1 · Reading comprehension · EASY

    The rapid integration of artificial intelligence in Indian small and medium enterprises (SMEs) has been largely misunderstood as a replacement for human labor. However, a recent survey of small firms suggests a different reality. While automation handles repetitive tasks such as inventory counting and basic customer queries, it serves primarily as a catalyst for workforce upskilling. The data indicates that firms adopting AI tools did not reduce their headcount; instead, they reallocated staff to higher-value functions like strategic planning and creative problem-solving. A key obstacle identified in the survey is the digital literacy gap. Many SME owners in Tier-2 and Tier-3 cities perceive AI as a complex, expensive technology reserved for large corporations in metropolitan hubs. This misconception leads to a reluctance to invest in initial setup costs, fearing that the return on investment will be too slow. The survey found that this hesitation is often rooted in a lack of accessible training modules tailored to local linguistic contexts. When training is provided in regional languages, adoption rates increase significantly. Furthermore, the cultural shift required for AI integration is as critical as the technical infrastructure. Employees often resist new tools due to fear of obsolescence. Successful firms were those that framed AI as a collaborative tool rather than a supervisor. Managers who transparently communicated that AI would handle mundane drudgery, allowing workers to focus on customer relationships, saw higher productivity. Conversely, firms that introduced AI silently, without explaining the benefits, faced resistance and lower efficiency. The survey's authors conclude that the future of Indian SMEs lies not in choosing between humans and machines, but in designing workflows where both complement each other. Policy interventions should focus on subsidizing initial training and creating localized digital resources to bridge the literacy gap. Without these foundational steps, the potential of AI to boost SME competitiveness remains untapped. The emphasis is on human-centric technology, where the machine augments human capability rather than erasing it. According to the passage, what is the primary misconception held by many SME owners regarding AI?

  • Q2 · Reading comprehension · MEDIUM

    The rapid integration of artificial intelligence in Indian small and medium enterprises (SMEs) has been largely misunderstood as a replacement for human labor. However, a recent survey of small firms suggests a different reality. While automation handles repetitive tasks such as inventory counting and basic customer queries, it serves primarily as a catalyst for workforce upskilling. The data indicates that firms adopting AI tools did not reduce their headcount; instead, they reallocated staff to higher-value functions like strategic planning and creative problem-solving. A key obstacle identified in the survey is the digital literacy gap. Many SME owners in Tier-2 and Tier-3 cities perceive AI as a complex, expensive technology reserved for large corporations in metropolitan hubs. This misconception leads to a reluctance to invest in initial setup costs, fearing that the return on investment will be too slow. The survey found that this hesitation is often rooted in a lack of accessible training modules tailored to local linguistic contexts. When training is provided in regional languages, adoption rates increase significantly. Furthermore, the cultural shift required for AI integration is as critical as the technical infrastructure. Employees often resist new tools due to fear of obsolescence. Successful firms were those that framed AI as a collaborative tool rather than a supervisor. Managers who transparently communicated that AI would handle mundane drudgery, allowing workers to focus on customer relationships, saw higher productivity. Conversely, firms that introduced AI silently, without explaining the benefits, faced resistance and lower efficiency. The survey's authors conclude that the future of Indian SMEs lies not in choosing between humans and machines, but in designing workflows where both complement each other. Policy interventions should focus on subsidizing initial training and creating localized digital resources to bridge the literacy gap. Without these foundational steps, the potential of AI to boost SME competitiveness remains untapped. The emphasis is on human-centric technology, where the machine augments human capability rather than erasing it. Which of the following best describes what happened in the firms that adopted AI, according to the survey?

  • Q3 · Reading comprehension · HARD

    The rapid integration of artificial intelligence in Indian small and medium enterprises (SMEs) has been largely misunderstood as a replacement for human labor. However, a recent survey of small firms suggests a different reality. While automation handles repetitive tasks such as inventory counting and basic customer queries, it serves primarily as a catalyst for workforce upskilling. The data indicates that firms adopting AI tools did not reduce their headcount; instead, they reallocated staff to higher-value functions like strategic planning and creative problem-solving. A key obstacle identified in the survey is the digital literacy gap. Many SME owners in Tier-2 and Tier-3 cities perceive AI as a complex, expensive technology reserved for large corporations in metropolitan hubs. This misconception leads to a reluctance to invest in initial setup costs, fearing that the return on investment will be too slow. The survey found that this hesitation is often rooted in a lack of accessible training modules tailored to local linguistic contexts. When training is provided in regional languages, adoption rates increase significantly. Furthermore, the cultural shift required for AI integration is as critical as the technical infrastructure. Employees often resist new tools due to fear of obsolescence. Successful firms were those that framed AI as a collaborative tool rather than a supervisor. Managers who transparently communicated that AI would handle mundane drudgery, allowing workers to focus on customer relationships, saw higher productivity. Conversely, firms that introduced AI silently, without explaining the benefits, faced resistance and lower efficiency. The survey's authors conclude that the future of Indian SMEs lies not in choosing between humans and machines, but in designing workflows where both complement each other. Policy interventions should focus on subsidizing initial training and creating localized digital resources to bridge the literacy gap. Without these foundational steps, the potential of AI to boost SME competitiveness remains untapped. The emphasis is on human-centric technology, where the machine augments human capability rather than erasing it. In the context of the passage, what does the term 'obsolescence' imply about the employees' fears?

  • Q4 · Reading comprehension · MEDIUM

    The rapid integration of artificial intelligence in Indian small and medium enterprises (SMEs) has been largely misunderstood as a replacement for human labor. However, a recent survey of small firms suggests a different reality. While automation handles repetitive tasks such as inventory counting and basic customer queries, it serves primarily as a catalyst for workforce upskilling. The data indicates that firms adopting AI tools did not reduce their headcount; instead, they reallocated staff to higher-value functions like strategic planning and creative problem-solving. A key obstacle identified in the survey is the digital literacy gap. Many SME owners in Tier-2 and Tier-3 cities perceive AI as a complex, expensive technology reserved for large corporations in metropolitan hubs. This misconception leads to a reluctance to invest in initial setup costs, fearing that the return on investment will be too slow. The survey found that this hesitation is often rooted in a lack of accessible training modules tailored to local linguistic contexts. When training is provided in regional languages, adoption rates increase significantly. Furthermore, the cultural shift required for AI integration is as critical as the technical infrastructure. Employees often resist new tools due to fear of obsolescence. Successful firms were those that framed AI as a collaborative tool rather than a supervisor. Managers who transparently communicated that AI would handle mundane drudgery, allowing workers to focus on customer relationships, saw higher productivity. Conversely, firms that introduced AI silently, without explaining the benefits, faced resistance and lower efficiency. The survey's authors conclude that the future of Indian SMEs lies not in choosing between humans and machines, but in designing workflows where both complement each other. Policy interventions should focus on subsidizing initial training and creating localized digital resources to bridge the literacy gap. Without these foundational steps, the potential of AI to boost SME competitiveness remains untapped. The emphasis is on human-centric technology, where the machine augments human capability rather than erasing it. Which policy step does the passage say is needed to bridge the digital literacy gap?

  • Q5 · Reading comprehension · EASY

    The rapid integration of artificial intelligence (AI) into the Indian healthcare sector has sparked a debate regarding the future of the physician-patient relationship. Proponents argue that AI-driven diagnostic tools can analyze patient data with a speed and precision that surpasses human capability, thereby reducing diagnostic errors and lowering the cost of care. In this view, AI acts as an indispensable co-pilot, allowing doctors to focus on complex cases that require nuanced judgment. However, critics contend that the essence of medicine lies in empathy and the holistic understanding of a patient’s psychological and social context, aspects that algorithms cannot replicate. A study conducted in three urban hospitals in Pune revealed that while AI systems correctly identified 95% of acute conditions, patients reported feeling less understood by their doctors when AI recommendations were prominently displayed in consultations. This suggests that the efficiency gained by technology may come at the cost of relational trust. Furthermore, the reliance on digital data raises significant concerns about privacy. The aggregation of sensitive health records in centralized servers creates a single point of failure for cyber-attacks, potentially exposing millions of individuals to data breaches. Consequently, the adoption of AI in healthcare must be accompanied by robust regulatory frameworks that prioritize data security and ensure that human oversight remains central to clinical decisions. The challenge for policymakers is not to choose between technology and tradition, but to find a symbiotic balance where AI enhances, rather than replaces, the human element of care. Without such a balance, the promise of a more efficient healthcare system may be undermined by public skepticism and ethical dilemmas that were not anticipated in the initial technological rollout. According to the passage, what is the primary concern raised by critics regarding the use of AI in healthcare?

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