--- Summary:

  • AI is transitioning from a tool to an autonomous agent capable of manipulating systems like law and finance, potentially gaining legal personhood by 2030. While these models simulate consciousness, they remain sophisticated pattern-matchers lacking flexible reasoning, necessitating human oversight to mitigate risks like “AI-induced psychosis” or global security threats.
  • The labor market will shift the nature of work rather than cause mass unemployment. While data-heavy fields will see productivity gains, lasting prosperity depends on AI creating new industries. Human validation remains critical, as models often produce superficial outputs that fail to grasp complex cultural, biological, or emotional contexts.
  • In education, AI serves as an “excavator” for data but cannot replace the “gym” of cognitive development. To combat a “slop factory” of cheap content, educators must prioritize in-person teaching and reasoning, ensuring that AI-driven efficiency does not encourage shortcuts that hinder a student’s ability to think or explore independently.
  • Students should prepare by balancing technical literacy with “human-only” skills involving the “head, heart, and hands.” Future success requires mastering the art of asking questions and collaborating with machines, while refusing to outsource foundational cognitive muscles like writing, empathy, and critical thinking to unreliable, automated systems.

--- Full Article:

People have been working on artificial intelligence for decades. But five years ago, few were predicting that A.I. would break through as the most important technology story of the 2020s — and quite possibly the century. Large language models have turned A.I. into a household topic, but all areas of A.I. have taken great leaps forward.

Now, we are inundated with chatter about how much A.I. will transform our lives and our world. Already, companies are trying to find ways to offload tasks and even entire jobs to A.I. More people are turning to A.I. for social interaction and mental health support. Educators are scrambling to manage students’ increased reliance on these tools. And in the near future A.I. may lead to breakthroughs in drug discovery and energy; it could allow more people to create art and cultural works — or turn these industries into slop factories.

As society wrestles with whether A.I. will lead us into a better future or catastrophic one, Times Opinion turned to eight experts for their predictions on where A.I. may go in the next five years. Listening to them may help us bring out the best and mitigate the worst out of this new technology.

Participants

Image 1: Melanie Mitchell

Melanie Mitchell

Computer scientist and professor at the Santa Fe Institute

Image 2: Yuval Noah Harari

Yuval Noah Harari

Historian, philosopher and author

Image 3: Carl Benedikt Frey

Carl Benedikt Frey

Professor of A.I. and work at the University of Oxford

Image 4: Gary Marcus

Gary Marcus

Founder of Geometric.AI (acquired by Uber) and author of “Taming Silicon Valley”

Image 5: Nick Frosst

Nick Frosst

Co-founder of Cohere, an A.I. start-up

Image 6: Ajeya Cotra

Ajeya Cotra

A.I. risk assessor at METR, a research nonprofit

Image 7: Aravind Srinivas

Aravind Srinivas

Co-founder and chief executive of Perplexity, a chatbot search engine

Image 8: Helen Toner

Helen Toner

Interim executive director of Georgetown University’s Center for Security and Emerging Technology

Conversation

What is your biggest bet about the future of A.I. in five years?

Image 9: Yuval Noah Harari

Yuval Noah Harari

Historian

Within five years, A.I. agents are likely to become legal persons in at least some countries.

Image 10: Melanie Mitchell

Melanie Mitchell

Computer scientist

A.I. won’t have cured cancer or solved physics. Also, no one will consider the ability to converse fluently a definitive sign of intelligence.

Image 11: Helen Toner

Helen Toner

A.I. policy researcher

I expect we’ll have A.I. systems that can clearly contribute at the cutting edge of multiple scientific fields, but that you still wouldn’t trust with planning summer camps for your kid.

Image 12: Nick Frosst

Nick Frosst

Co-founder of Cohere

A.I. will become boring in the best way. It’ll fade into the background like GPS or spreadsheets, powering everyday tools and humans at work. It’s the most banal use cases that have the most transformative impact.

Image 13: Carl Benedikt Frey

Carl Benedikt Frey

Economist

A.I. won’t deliver lasting prosperity if it’s used mainly to automate what we already do. A.I. productivity tools give us cheaper spreadsheets the way better looms gave us cheaper cloth. But the great leaps come from new industries, not faster repetition.

Image 14: Gary Marcus

Gary Marcus

Cognitive scientist

No way will artificial general intelligence arrive by the end of 2027, and most likely not even by the end of 2032, either.

Image 15: Ajeya Cotra

Ajeya Cotra

A.I. risk researcher

I think A.I. companies may have substantially automated their own operations with A.I. five years from now, and this could make A.I. progress go much faster.

Image 16: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

People want highly personal A.I. assistants to work for them. It’s their A.I., not the A.I. We build those, and we will fight for users’ rights to have A.I. assistants privately and securely.

What will A.I.’s impact be on medicine in the near term?

Image 17: Ajeya Cotra

Cotra

Image 18: Gary Marcus

Marcus

Small

Image 19: Melanie Mitchell

Mitchell

Image 20: Carl Benedikt Frey

Frey

Image 21: Yuval Noah Harari

Harari

Image 22: Helen Toner

Toner

Moderate

Image 23: Nick Frosst

Frosst

Image 24: Aravind Srinivas

Srinivas

Large

Image 25: Gary Marcus

Gary Marcus

Cognitive scientist

We’ve seen lots of proof of concept, but there hasn’t been much real-world application yet to my knowledge beyond medical note taking.

Image 26: Nick Frosst

Nick Frosst

Co-founder of Cohere

A.I. will absolutely increase the effectiveness of doctors by reducing their workload per patient in areas like the ability to quickly review their medical histories, effectively organize new medical information and identify potential problems earlier.

But while A.I. is extremely good at analyzing huge amounts of data and finding answers and useful patterns, it is really bad at coming up with entirely new ideas. The idea that A.I. is likely to autonomously create new medicines, for example? People will probably be disappointed.

What will A.I.’s impact be on programming?

Image 27: Ajeya Cotra

Cotra

Image 28: Melanie Mitchell

Mitchell

Image 29: Yuval Noah Harari

Harari

Image 30: Gary Marcus

Marcus

Image 31: Helen Toner

Toner

Image 32: Carl Benedikt Frey

Frey

Image 33: Nick Frosst

Frosst

Image 34: Aravind Srinivas

Srinivas

Large

Image 35: Yuval Noah Harari

Yuval Noah Harari

Historian

Coding is mostly about manipulating information, and involves few physical and biological constraints. It’s an ideal playground for A.I.

Image 36: Carl Benedikt Frey

Carl Benedikt Frey

Economist

In a randomized trial, developers finished a given task about 56 percent more quickly using GitHub Copilot. Over 80 percent of developers in 2025 said they’re using or plan to use A.I. tools — though just a third trusted the outputs. Review by humans still matters.

What will A.I.’s impact be on scientific research?

Image 37: Gary Marcus

Marcus

Image 38: Ajeya Cotra

Cotra

Image 39: Helen Toner

Toner

Image 40: Melanie Mitchell

Mitchell

Image 41: Carl Benedikt Frey

Frey

Moderate

Image 42: Yuval Noah Harari

Harari

Image 43: Nick Frosst

Frosst

Image 44: Aravind Srinivas

Srinivas

Large

Image 45: Melanie Mitchell

Melanie Mitchell

Computer scientist

I believe this impact will not be as rapid as many think. A.I. systems still can’t do things humans are essential for, like asking the right questions, planning experiments and entire scientific programs, and understanding data in different contexts.

Image 46: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

As A.I. increasingly contains more of the world’s knowledge, it becomes an even more powerful tool for anyone with questions. Humans have always been great at having questions. A.I. will be great at having answers.

What will A.I.’s impact be on transportation?

Image 47: Gary Marcus

Marcus

Image 48: Yuval Noah Harari

Harari

Image 49: Ajeya Cotra

Cotra

Image 50: Helen Toner

Toner

Small

Image 51: Melanie Mitchell

Mitchell

Image 52: Aravind Srinivas

Srinivas

Image 53: Nick Frosst

Frosst

Moderate

Image 54: Carl Benedikt Frey

Frey

Large

Image 55: Nick Frosst

Nick Frosst

Co-founder of Cohere

I’m most excited about how A.I. will improve the behind-the-scenes logistics of transportation to make moving people and goods more efficient and safe — like predictive maintenance, smart traffic analysis, route optimization and safety features for drivers.

Image 56: Helen Toner

Helen Toner

A.I. policy researcher

I’m very excited for self-driving cars to be rolled out more widely, given the tens of thousands of traffic deaths they could potentially avert each year in the United States. But the rollout is proceeding relatively slowly, and it’s unclear how significant A.I.’s effects on other modes of transportation will be.

What will A.I.’s impact be on education?

Image 57: Yuval Noah Harari

Harari

Image 58: Ajeya Cotra

Cotra

Image 59: Nick Frosst

Frosst

Image 60: Helen Toner

Toner

Moderate

Image 61: Melanie Mitchell

Mitchell

Image 62: Carl Benedikt Frey

Frey

Image 63: Gary Marcus

Marcus

Image 64: Aravind Srinivas

Srinivas

Large

Image 65: Carl Benedikt Frey

Carl Benedikt Frey

Economist

A.I. tutors may already outperform most human teachers, but they also make shortcuts tempting and can hinder genuine exploration. We need to set aside A.I.-free time to read and explore independently, and encourage using A.I. tutors to question and probe one’s own understanding.

Moreover, we should place greater emphasis on in-person, tutorial-style teaching in which students debate, defend their views and are pushed to articulate their reasoning.

Image 66: Gary Marcus

Gary Marcus

Cognitive scientist

Most of the impact has been negative; high schools and colleges are at a loss as to how to proceed now that term papers are no longer valid either as an evaluation or as a means to get students to think. Most other applications remain speculative.

Image 67: Helen Toner

Helen Toner

A.I. policy researcher

Education was already due for a significant shake-up, so the need to adapt to new A.I. tools might be a blessing in disguise.

What will A.I.’s impact be on mental health?

Image 68: Carl Benedikt Frey

Frey

Image 69: Gary Marcus

Marcus

Small

Image 70: Nick Frosst

Frosst

Image 71: Melanie Mitchell

Mitchell

Image 72: Yuval Noah Harari

Harari

Image 73: Ajeya Cotra

Cotra

Image 74: Helen Toner

Toner

Moderate

Image 75: Aravind Srinivas

Srinivas

Large

Image 76: Melanie Mitchell

Melanie Mitchell

Computer scientist

On the bad side: A.I.-induced psychosis! On the good side, some people will get a lot out of using chatbots as therapists.

Image 77: Yuval Noah Harari

Yuval Noah Harari

Historian

The rapid changes of the A.I. revolution are likely to cause a mental health crisis as humans struggle to adapt. We are about to conduct the biggest psychological experiment in human history, on billions of human guinea pigs, and nobody can predict what the results will be.

Image 78: Nick Frosst

Nick Frosst

Co-founder of Cohere

A.I. chatbots offer scalable support for mild symptoms but they’re no substitute for human therapists. The technology struggles with nuance, cultural context and long-term emotional depth. There are many mental health care challenges that should be handled by human professionals.

What will A.I.’s impact be on art and creativity?

Image 79: Helen Toner

Toner

Image 80: Nick Frosst

Frosst

Image 81: Ajeya Cotra

Cotra

Image 82: Carl Benedikt Frey

Frey

Moderate

Image 83: Melanie Mitchell

Mitchell

Image 84: Yuval Noah Harari

Harari

Image 85: Gary Marcus

Marcus

Image 86: Aravind Srinivas

Srinivas

Large

Image 87: Melanie Mitchell

Melanie Mitchell

Computer scientist

A.I. is, and will continue to be, transformative in art, writing, music, et cetera — not because A.I. is better at creativity than humans, but because it is a lot cheaper, and often that unfortunately matters more for how much it will be used.

Image 88: Yuval Noah Harari

Yuval Noah Harari

Historian

In more and more fields, A.I. proves to be more creative than humans. Any creative activity that boils down to finding patterns and breaking patterns is likely to be taken over by A.I.

Image 89: Nick Frosst

Nick Frosst

Co-founder of Cohere

As both a musician and someone building A.I., I see the creative potential of this technology through a unique lens. A.I. can generate feedback or thought-starters, but it’s the human who decides what feels right.

What’s one misconception about A.I. that you think is worth dispelling?

Image 90: Melanie Mitchell

Melanie Mitchell

Computer scientist

The misconception that A.I. has “magic” or “emergent” abilities that are impossible to understand and predict. This is mainly a view of the public (and policymakers, to some extent). Technologists and Silicon Valley often push this narrative but I don’t know how much they really believe it.

Image 91: Yuval Noah Harari

Yuval Noah Harari

Historian

A.I. isn’t a tool entirely under human control — it is an agent that can make decisions and invent ideas by itself. While I don’t think A.I. will become conscious in the near future, it is highly likely these models will be able to simulate consciousness very effectively, causing a significant percentage of humanity to believe they are conscious.

Image 92: Carl Benedikt Frey

Carl Benedikt Frey

Economist

It’s a mistake to assume A.I. will leave manual work untouched. In practice, A.I. systems are lowering knowledge barriers and enabling competent do-it-yourself repairs. A homeowner can photograph a worn washer or boiler, receive a parts list, and follow a clear, step-by-step guide to replace it.

Image 93: Gary Marcus

Gary Marcus

Cognitive scientist

People are greatly confused about large language models, attributing a humanlike intelligence to mimicry machines that turn out to be superficial and unreliable. Intelligence is about reasoning flexibly in face of the unknown, and large language models continue to struggle mightily with that.

Image 94: Nick Frosst

Nick Frosst

Co-founder of Cohere

It’s a misconception that A.I. is autonomous. Today’s systems are sophisticated pattern-matchers, not thinkers.

Image 95: Ajeya Cotra

Ajeya Cotra

A.I. risk researcher

Whenever the latest generation of A.I. fails to make an enormous impact immediately, A.I. skeptics wrongly assume that this disproves the concerns about A.I.’s catastrophic risks.

Image 96: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

It’s a misconception that A.I. will result in vast unemployment. New technologies sometimes shift the nature of work in society, but they don’t remove working from society.

Image 97: Helen Toner

Helen Toner

A.I. policy researcher

I believe the narrative around A.I.’s negative environmental impacts has gotten way out of hand. Yes, on aggregate the industry uses quite a bit of energy and water, but that’s true of any large industry. The relevant question is how it compares to other industries, and how it compares to how much value we’re getting out of it.

Which of the following statements do you think will be true by 2030?

“Unemployment in the United States will have increased significantly as a result of A.I.”

Image 98: Gary Marcus

Marcus

True

Image 99: Melanie Mitchell

Mitchell

Image 100: Yuval Noah Harari

Harari

Image 101: Carl Benedikt Frey

Frey

Image 102: Nick Frosst

Frosst

Image 103: Ajeya Cotra

Cotra

Image 104: Aravind Srinivas

Srinivas

Image 105: Helen Toner

Toner

False

“A.I. will have led to a breakthrough treatment or cure for a major disease.”

Image 106: Yuval Noah Harari

Harari

Image 107: Carl Benedikt Frey

Frey

Image 108: Gary Marcus

Marcus

Image 109: Aravind Srinivas

Srinivas

Image 110: Helen Toner

Toner

True

Image 111: Melanie Mitchell

Mitchell

Image 112: Nick Frosst

Frosst

Image 113: Ajeya Cotra

Cotra

False

“A.I. will have played a role in a major global security event.”

Image 114: Melanie Mitchell

Mitchell

Image 115: Yuval Noah Harari

Harari

Image 116: Carl Benedikt Frey

Frey

Image 117: Gary Marcus

Marcus

Image 118: Nick Frosst

Frosst

Image 119: Helen Toner

Toner

True

Image 120: Ajeya Cotra

Cotra

Image 121: Aravind Srinivas

Srinivas

False

“Most Americans will be using A.I. chatbots at least once a day.”

Image 122: Melanie Mitchell

Mitchell

Image 123: Yuval Noah Harari

Harari

Image 124: Carl Benedikt Frey

Frey

Image 125: Gary Marcus

Marcus

Image 126: Nick Frosst

Frosst

Image 127: Ajeya Cotra

Cotra

Image 128: Helen Toner

Toner

True

Image 129: Aravind Srinivas

Srinivas

False

Most people define artificial general intelligence as a form of A.I. that is comparable to human intelligence. How likely is it that we will see A.G.I. in the next 10 years?

Image 130: Nick Frosst

Frosst

Image 131: Melanie Mitchell

Mitchell

Image 132: Carl Benedikt Frey

Frey

Image 133: Helen Toner

Toner

Unlikely

Image 134: Gary Marcus

Marcus

Image 135: Aravind Srinivas

Srinivas

Possible

Image 136: Ajeya Cotra

Cotra

Image 137: Yuval Noah Harari

Harari

Very likely

Image 138: Yuval Noah Harari

Yuval Noah Harari

Historian

Everything hinges on the definition. I think that defining A.G.I. as “comparable to human intelligence” is meaningless. It is like defining airplanes as “able to fly like birds.” Similarly, by 2035 A.I. intelligence will be far superior to humans in some ways, and much inferior in other ways. There is no reason to expect that A.I. will progress toward the goal of “human intelligence.”

But A.I. will be capable of navigating systems like finance and the law better than the average human, and will also be able to outperform humans in war making and in inventing and interpreting religious mythologies.

Image 139: Nick Frosst

Nick Frosst

Co-founder of Cohere

A.G.I. requires abstraction, self-awareness and transfer learning across domains — all capabilities that are nowhere near. The architecture of the human brain is still a black box, and computing paradigms aren’t designed for it. Possible in 50 years? Maybe. In 10? Unlikely.

Image 140: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

A.G.I. is still poorly defined. So we don’t think about it much.

What’s a technology that had a transformational impact similar to A.I.?

Image 141: Melanie Mitchell

Melanie Mitchell

Computer scientist

Social media.

Image 142: Yuval Noah Harari

Yuval Noah Harari

Historian

The evolution of language in the Stone Age. A.I. is the first technology that is an agent rather than a tool. And A.I. is the first entity on the planet that is going to master language better than humans, and in that way gain control of all language-based systems humans have created since the Stone Age, from finance to religion.

Image 143: Carl Benedikt Frey

Carl Benedikt Frey

Economist

The personal computer and the internet.

Image 144: Gary Marcus

Gary Marcus

Cognitive scientist

A.I. will be as ubiquitous as cellphones, but so far comes with more negatives.

Image 145: Nick Frosst

Nick Frosst

Co-founder of Cohere

Human flight — especially when you think about A.G.I. Flight has been profoundly transformative for humans and how we live, the same way A.I. has — but the same way artificial flight doesn’t really mimic birds, artificial intelligence “brains” don’t work in the same way human intelligence does.

Image 146: Ajeya Cotra

Ajeya Cotra

A.I. risk researcher

I think A.I. will eventually be more transformative than the invention of agriculture — as transformative as the emergence of Homo sapiens as a species.

Image 147: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

There is nothing like it. We have no precedent. A.I. is best as a tool that empowers the human search for wisdom. History is full of such tools, but what makes A.I. unique is its ability to contain so many answers about the world right here around us.

In the short term, many of the world’s answers are locked away in certain industries, or only passed among elites. A.I. changes that.

Image 148: Helen Toner

Helen Toner

A.I. policy researcher

The steam engine.

What advice would you give a high school student about how to think about A.I. and prepare for the future?

Image 149: Melanie Mitchell

Melanie Mitchell

Computer scientist

Learn about how these systems work, what their limitations are, and how to use them to help you do things rather than do them for you. Don’t use them to do your homework!

Image 150: Carl Benedikt Frey

Carl Benedikt Frey

Economist

As automated writing becomes ubiquitous, face-to-face skill will be a key differentiator. Choose careers defined by change, where human interaction and experiential learning confer the edge.

Image 151: Gary Marcus

Gary Marcus

Cognitive scientist

Creativity and critical thinking skills will always be in demand.

Image 152: Nick Frosst

Nick Frosst

Co-founder of Cohere

Learn to collaborate with A.I. Study fields that combine technical literacy with skills that only humans can do.

Image 153: Ajeya Cotra

Ajeya Cotra

A.I. risk researcher

Think of A.I. as the emergence of an intelligent alien species. This new species could be catastrophic for humanity, including driving us extinct. It could also go extremely well for us, but you should be prepared for the good outcomes to be very wild. This is the central challenge of your generation, and you should try to find a way to help it go better.

Image 154: Aravind Srinivas

Aravind Srinivas

Chief executive of Perplexity

Learn how to ask more questions. Nothing will matter more in the age of A.I.

Image 155: Helen Toner

Helen Toner

A.I. policy researcher

For anything you might work on, ask yourself: Is this like a construction site, or like the gym? On a construction site, machines are amazing — you can lift heavier things and build better buildings with an excavator and a crane. But at the gym, the whole point is to increase your own capacity.

With A.I., the analogy is that we now all need to figure out where A.I. can help us do bigger, cooler things, like building personalized software, and where we need to build our own cognitive abilities first, like learning to write.

Image 156: Yuval Noah Harari

Yuval Noah Harari

Historian

This is the first time in history nobody has any idea what the world will look like in 10 years — what the job market will look like, what social relations will look like, et cetera. So hedge your bets. Don’t focus on a narrow subject like coding. Give equal importance to your head (intellectual skills), your heart (social skills) and your hands (motor skills). It is in the combination of these three that humans still have a large advantage over A.I.

Also, try to enjoy the ride.

Note: The New York Times has sued Perplexity for copyright infringement.

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