TechnologyFebruary 22, 2026

Why People Are Cooler About A.I. Than Tech Leaders Expect

Key Vocabulary

optimism/ˈɒptɪmɪzəm/
a hopeful view that things will turn out well
"Tech leaders often express optimism about AI's future."
concentrated/kənˈsentrətɪd/
kept in a small number of places or hands
"Funding has become concentrated in very large rounds."
productivity/ˌprɒdʌkˈtɪvɪti/
how much work or output is produced in a given time
"Many firms reported little change in productivity so far."
megadeal/ˈmɛɡədiːl/
a very large business financing or transaction
"Several megadeals shaped venture capital totals."
skepticism/ˈskɛptɪsɪzəm/
doubt about whether something is true or useful
"Public skepticism has limited mass enthusiasm for AI."

Listening

Why People Are Cooler About A.I. Than Tech Leaders Expect

Public reactions to artificial intelligence have been markedly cooler than many tech leaders expected, and the gap between expert optimism and popular concern is wide. In surveys of U.S. adults and AI specialists, a majority of experts reported positive expectations while only a modest share of the public said they were mainly excited; women and other groups tended to register more worry. Many people also express low trust in corporations to manage AI fairly and say they want stronger controls.

Investment flows into AI have remained large even as investors have grown choosier. Global venture funding hit about $101.05 billion in the second quarter of 2025, yet overall deal volume fell to roughly 7,356 transactions as capital concentrated in very large raises; earlier quarters included outlier rounds that skewed totals. Because funding is focused on megadeals and resilient sectors, smaller startups sometimes struggle to gain traction despite strong interest in the technology.

At work, uptake of AI tools has accelerated—reported use has nearly doubled over two years—but measured productivity gains have been limited for most firms. Large executive surveys find that a majority of companies report little or no effect on employment or output so far, even where tools are in use. This pattern echoes historical technology transitions in which benefits often appear unevenly and only after firms change processes and skills.

If public enthusiasm remains muted while leaders push ahead, the result may be slower cultural acceptance and more debate about how to shape AI’s effects on jobs and fairness. Those debates are already influencing conversations in workplaces and politics.

261 words

Quiz

1. How much was global venture funding in Q2 2025?
2. To what level did overall deal volume fall?
3. What have large executive surveys found about most firms?

Reading Practice

Read the article from the Listening section aloud. Your AI teacher will give you pronunciation feedback.

Discussion

1

Do you worry that AI will change many jobs where you live? Why or why not?

2

Have you seen a workplace tool or app that made work harder at first and easier later? What happened?

3

What personal skills would you like to learn to work better with AI?

4

Do you think your family would accept more AI in daily life if rules and protections were clearer? How would you explain them?

5

Would you be willing to try a new AI tool if your employer offered training? Why or why not?

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