A new partnership between New York City’s teachers union and Big Tech companies has some educators wondering whether they’re at the forefront of improving instruction through artificial intelligence or welcoming a Trojan horse that threatens learning.

The American Federation of Teachers, the umbrella organization for the local United Federation of Teachers union, announced Tuesday it’s teaming up with Microsoft, OpenAI and Anthropic on a $23 million initiative to offer free AI training and software to AFT members. The investment, which is being covered by the companies, includes creating a new training space dubbed the “National Center for AI” on a floor of the UFT headquarters in Lower Manhattan.

UFT President Michael Mulgrew said at a press conference that some of his union’s educators started trainings this month, adding that the initiative will expand nationally over the next year. The initiative is aimed at K-12 teachers, is voluntary and focuses on tasks like lesson planning, according to the union and companies. AI can summarize texts and create worksheets and assessments.

“This tool could truly be a great gift to the children of this country and to education overall,” Mulgrew said. “But we’re not going to get there unless it’s driven by the people doing the work in the most important place in education, which is the classroom.”

Some teachers said they are skeptical about the initiative. Jia Lee, a special education teacher at the Earth School in the East Village, likened the arrangement to “letting the fox in the henhouse” and said she was “horrified” to see the union linking arms with the tech companies.

“I think a lot of educators would say we’re not anti-AI, we just have concerns about a lot of things that have not been explained or researched yet,” Lee said.

City education officials have sent mixed signals about integrating AI in classrooms. The local education department initially blocked OpenAI tool ChatGPT in schools in 2023, then lifted the ban. Schools spokesperson Nicole Brownstein said the agency is working on a “framework” for AI use, but declined to comment on the union’s new initiative.

Gerry Petrella, Microsoft’s general manager for U.S. policy, said the partnership would help the company figure out how to integrate AI into education “in a responsible and safe way.” He said he hoped AI tools would save teachers time so they could focus more on students and their individual needs.

National surveys show the technology is already creeping into students’ and teachers’ lives. A Harvard University survey last fall found half of high-school and college students use AI for some schoolwork, while a new Gallup poll found 60% of teachers reported using AI at some point over the past school year.

Annie Read Boyle, a fourth-grade teacher at P.S. 276 in Battery Park, said she hasn’t used AI much but is impressed with what she’s seen so far. Last year, she used a product called Diffit when she was teaching about the American Revolution.

“I said, ‘I want an article that’s fourth-grade level,’ and in 10 seconds [it] spit out this beautiful worksheet that would’ve taken me hours to create,” she said. “I was like, ‘Wow, this is really impressive and it just saved me so much time.’”

Boyle said she could imagine similar tools differentiating assignments based on students’ learning styles, abilities or language. Still, she cited concerns about data privacy, copyright infringement in materials and encouraging students to take shortcuts instead of developing critical-thinking skills.

“It’s such an important tool for teachers to know how to use so that we can teach the kids but it could really hurt the development process for kids,” she said, adding that she is also concerned about AI’s environmental impact and potential to drive job loss.

AFT President Randi Weingarten said Tuesday she hoped to learn from past mistakes involving technology, including social media’s harms on young people’s mental health. She said the union’s partnership with tech companies is a way to influence how AI is used with children.

“We can also make sure we have the guardrails we need to protect the safety and security of kids,” said Weingarten, whose union includes 1.8 million members nationwide. “That is now becoming our job. … We have to have a phone line back to [tech hub] Seattle.”

As artificial intelligence (AI) transforms every sector of the global economy, the leaders of the G7 nations, at the 2025 G7 Summit in Kananaskis, Alberta, issued a strong, unified statement reaffirming their commitment to ensuring this transformation benefits people, promotes inclusive prosperity and supports responsible innovation. In their “G7 leaders’ statement on AI for prosperity”, the world’s leading democracies laid out a roadmap for adopting trustworthy AI at scale – balancing economic opportunity with ethical stewardship and energy sustainability. 

From awareness to adoption: Public sector AI with purpose 

One of the core pillars of the G7’s new vision is leveraging AI in the public sector. Governments are being called to not only regulate AI but to actively use it to improve public services, drive efficiency and better respond to citizens’ needs – all while maintaining privacy, human rights and democratic values. 

To lead this effort, Canada, in its role as G7 president, has announced the GovAI Grand Challenge. This initiative includes a series of “rapid solution labs” that will develop creative, practical AI solutions to accelerate public sector transformation. These efforts will be coordinated through the to-be-established G7 AI Network (GAIN), which will connect expertise across member countries and curate a catalogue of open-source, shareable AI tools. Additional details on these programs are forthcoming. 

Empowering SMEs to compete in the AI economy 

The G7 leaders also acknowledged a key truth: small- and medium-sized enterprises (SMEs) are the lifeblood of modern economies. These businesses generate jobs, drive innovation and build resilient local economies. Yet they often face significant barriers to AI adoption, from lack of access to computing infrastructure to gaps in digital skills. 

To close this gap, the G7 launched the AI Adoption Roadmap – a practical guide to help businesses, particularly SMEs, move from understanding AI to implementing it. The roadmap includes: 

• Sustained investment in AI readiness programs for SMEs 

• A blueprint for scalable, proven adoption strategies 

• Cross-border talent exchanges to boost in-house AI capabilities 

• New trust-building tools to give businesses and consumers confidence in AI systems 

This comprehensive approach is designed to help SMEs not only catch up but leap ahead – adopting AI in ways that are ethical, productive and secure. 

To support this initiative, and as part of the broader $2-billion Canadian Sovereign AI Compute Strategy, on June 25, 2025, the Government of Canada announced a fund that will support Canadian SMEs in accessing high-performance compute capacity to develop made-in-Canada AI products and solutions. Applications for the AI Compute Access Fund can now be submitted.   

A workforce ready for the AI era 

The shift to an AI-powered economy will demand a new kind of workforce. The G7 leaders reaffirmed their support for the 2024 Action Plan for safe and human-centered AI in the workplace. This includes investing in AI literacy and job transition programs, especially for those in sectors likely to be most affected. 

Crucially, the G7 also emphasized equity and inclusion – particularly encouraging girls and underrepresented communities to pursue STEM education and grow their presence in the AI talent pipeline. As AI reshapes our economies, building a diverse and resilient workforce is not only a moral imperative but an economic one. 

Tackling the energy footprint of AI 

With the exponential growth of large AI models comes a steep rise in energy consumption. The G7 acknowledged the environmental toll and vowed to address it head-on. In a first-of-its-kind commitment, member nations will work together on a comprehensive workplan on AI and energy, due by the end of 2025. 

This work will focus on developing energy-efficient AI systems, optimizing data center operations and using AI itself to drive clean energy innovation. The goal: ensure that the AI revolution doesn’t come at the cost of our planet – but instead helps to preserve it. 

Partnering for global inclusion 

Finally, the G7 turned their focus outward to the developing world, where digital divides threaten to leave billions behind. Leaders committed to expanding AI access in emerging markets through trusted technology, targeted investment and local collaboration. 

From the AI for Development Funders Collaborative to partnerships with universities and international organizations, the G7 aims to build mutually beneficial partnerships that bridge capacity gaps and support locally driven AI innovation. 

The technology, intellectual property and privacy group at MLT Aikins are tracking developments in the regulation, governance and deployment of AI in today’s modern economy and can give you the advice you need to navigate the ever– changing world of AI. 

Note: This article is of a general nature only and is not exhaustive of all possible legal rights or remedies. In addition, laws may change over time and should be interpreted only in the context of particular circumstances such that these materials are not intended to be relied upon or taken as legal advice or opinion. Readers should consult a legal professional for specific advice in any particular situation.  

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Dublin, July 09, 2025 (GLOBE NEWSWIRE) — The “Ai In Space Exploration Market Outlook 2025-2034: Market Share, and Growth Analysis By Type, By Application, By End-user” report has been added to ResearchAndMarkets.com’s offering.

Ai In Space Exploration Market is valued at USD 6.7 billion in 2025. Further the market is expected to grow by a CAGR of 27.1% to reach global sales of USD 57.9 billion in 2034

The AI in space exploration market is rapidly advancing, driven by the need for autonomous systems, data analysis, and efficient resource utilization in space missions. This market involves the application of artificial intelligence technologies, such as machine learning and computer vision, to optimize various aspects of space exploration. AI-powered solutions enable spacecraft to navigate autonomously, analyze planetary data, and perform complex tasks in remote environments. By analyzing data from sensors, telescopes, and rovers, AI can provide real-time insights into celestial bodies and space phenomena.

The scope of this market extends across various segments, including satellite operations, planetary exploration, and space logistics. The focus is on developing intelligent systems that can enhance mission efficiency, reduce costs, and improve scientific discovery. The adoption of AI is facilitating a shift from traditional, ground-controlled operations to autonomous, data-driven missions.

2024 has seen a surge in AI adoption within the space exploration industry, with a focus on autonomous navigation and data analysis. We’ve witnessed increased use of machine learning to analyze satellite imagery and identify celestial objects. The integration of AI with robotic rovers has improved their ability to navigate and perform scientific experiments autonomously.

Furthermore, there’s been a noticeable increase in the use of AI for optimizing satellite operations and predicting space weather. The development of AI-powered platforms for space debris tracking has also accelerated, enabling better collision avoidance. The use of AI for analyzing telescope data has improved astronomical discoveries. The use of AI for resource management on long duration missions has also increased.

Looking ahead to 2025 and beyond, the AI in space exploration market is expected to experience continued growth and innovation. We anticipate further advancements in autonomous space missions, with the development of self-repairing spacecraft and habitats. The integration of AI with quantum computing will enhance data processing and simulation capabilities. We also expect to see increased use of AI for automating complex tasks, such as asteroid mining and planetary colonization.

The rise of AI-powered space traffic management will drive the need for solutions that can optimize satellite orbits and avoid collisions. Furthermore, the focus will shift towards developing more explainable AI models, enhancing trust and transparency in AI-driven decisions. The use of AI for improving communication between deep space probes and earth will increase. We will also see increased focus on AI for developing closed loop life support systems.

Key Insights Ai In Space Exploration Market

• Autonomous Navigation: AI enables spacecraft to navigate and perform tasks autonomously.
• Data Analysis: AI analyzes satellite and rover data for scientific discovery.
• Satellite Operations Optimization: AI optimizes satellite orbits and predicts space weather.
• Space Debris Tracking: AI tracks and predicts space debris for collision avoidance.
• Autonomous Missions: AI enables self-repairing spacecraft and habitats.
• Need for Autonomous Operations: AI reduces reliance on ground control and improves mission efficiency.
• Demand for Data Analysis: AI analyzes vast amounts of space data for scientific discovery.
• Advancements in AI Technology: Improvements in machine learning and computer vision.
• Increasing Space Missions: The growth of space missions drives demand for AI-powered solutions.
• Reliability in Extreme Environments: Ensuring AI systems function reliably in harsh space environments.

Ai In Space Exploration Market Segmentation
By Type

• Robotic Arms
• Space Probes
• Other Types

By Application

• Remote Sensing and Monitoring
• Data Analytics
• Asteroid Mining
• Manned Vehicles and Reusable Launch
• Communications
• Remote Missions

By End-user

By Geography

• North America (USA, Canada, Mexico)
• Europe (Germany, UK, France, Spain, Italy, Rest of Europe)
• Asia-Pacific (China, India, Japan, Australia, Vietnam, Rest of APAC)
• The Middle East and Africa (Middle East, Africa)
• South and Central America (Brazil, Argentina, Rest of SCA)

Ai In Space Exploration Market Analytics

The research analyses various direct and indirect forces that can impact the Ai In Space Exploration market supply and demand conditions. The parent market, derived market, intermediaries’ market are analyzed to evaluate the full supply chain and possible alternatives and substitutes. Geopolitical analysis, demographic analysis, and Porter’s five forces analysis are prudently assessed to estimate the best Ai In Space Exploration market projections.

Recent deals and developments are considered for their potential impact on Ai In Space Exploration’s future business. Other metrics analyzed include Threat of New Entrants, Threat of Substitutes, Degree of Competition, Number of Suppliers, Distribution Channel, Capital Needed, Entry Barriers, Govt. Regulations, Beneficial Alternative, and Cost of Substitute in Ai In Space Exploration Market.

Ai In Space Exploration trade and price analysis helps comprehend Ai In Space Exploration’s international market scenario with top exporters/suppliers and top importers/customer information. The data and analysis assist our clients in planning procurement, identifying potential vendors/clients to associate with, understanding Ai In Space Exploration price trends and patterns, and exploring new Ai In Space Exploration sales channels. The research will be updated to the latest month to include the impact of the latest developments such as the Russia-Ukraine war on the Ai In Space Exploration market.

Ai In Space Exploration Market Competitive Intelligence

The proprietary company’s revenue and product analysis model unveils the Ai In Space Exploration market structure and competitive landscape. Company profiles of key players with a business description, product portfolio, SWOT analysis, Financial Analysis, and key strategies are covered in the report. It identifies top-performing Ai In Space Exploration products in global and regional markets. New Product Launches, Investment & Funding updates, Mergers & Acquisitions, Collaboration & Partnership, Awards and Agreements, Expansion, and other developments give our clients the Ai In Space Exploration market update to stay ahead of the competition.

Company offerings in different segments across Asia-Pacific, Europe, Middle East, Africa, and South and Central America are presented to better understand the company strategy for the Ai In Space Exploration market. The competition analysis enables the user to assess competitor strategies and helps align their capabilities and resources for future growth prospects to improve their market share.

Your Takeaways From this Report

• Global Ai In Space Exploration market size and growth projections (CAGR), 2024- 2034
• Impact of recent changes in geopolitical, economic, and trade policies on the demand and supply chain of Ai In Space Exploration.
• Ai In Space Exploration market size, share, and outlook across 5 regions and 27 countries, 2025- 2034.
• Ai In Space Exploration market size, CAGR, and Market Share of key products, applications, and end-user verticals, 2025- 2034.
• Short and long-term Ai In Space Exploration market trends, drivers, restraints, and opportunities.
• Porter’s Five Forces analysis, Technological developments in the Ai In Space Exploration market, Ai In Space Exploration supply chain analysis.
• Ai In Space Exploration trade analysis, Ai In Space Exploration market price analysis, Ai In Space Exploration Value Chain Analysis.
• Profiles of 5 leading companies in the industry- overview, key strategies, financials, and products.
• Latest Ai In Space Exploration market news and developments.

Region-level intelligence includes

• North America Ai In Space Exploration Market Size, Share, Growth Trends, CAGR Forecast to 2034
• Europe Ai In Space Exploration Market Size, Share, Growth Trends, CAGR Outlook to 2034
• Asia-Pacific Ai In Space Exploration Industry Data, Market Size, Competition, Opportunities, CAGR Forecast to 2034
• The Middle East and Africa Ai In Space Exploration Industry Data, Market Size, Competition, Opportunities, CAGR Forecast to 2034
• South and Central America Ai In Space Exploration IndustryIndustry Data, Market Size, Competition, Opportunities, CAGR Forecast to 2034

Ai In Space Exploration market regional insights present the most promising markets to invest in and emerging markets to expand to contemporary regulations to adhere to and players to partner with.

Key Attributes:

Key Topics Covered:

1. List of Tables and Figures

2. Ai In Space Exploration Market Latest Trends, Drivers and Challenges, 2025-2034
2.1 Ai In Space Exploration Market Overview
2.2 Market Strategies of Leading Ai In Space Exploration Companies
2.3 Ai In Space Exploration Market Insights, 2025-2034
2.3.1 Leading Ai In Space Exploration Types, 2025-2034
2.3.2 Leading Ai In Space Exploration End-User industries, 2025-2034
2.3.3 Fast-Growing countries for Ai In Space Exploration sales, 2025-2034
2.4 Ai In Space Exploration Market Drivers and Restraints
2.4.1 Ai In Space Exploration Demand Drivers to 2034
2.4.2 Ai In Space Exploration Challenges to 2034
2.5 Ai In Space Exploration Market- Five Forces Analysis
2.5.1 Ai In Space Exploration Industry Attractiveness Index, 2024
2.5.2 Threat of New Entrants
2.5.3 Bargaining Power of Suppliers
2.5.4 Bargaining Power of Buyers
2.5.5 Intensity of Competitive Rivalry
2.5.6 Threat of Substitutes

3. Global Ai In Space Exploration Market Value, Market Share, and Forecast to 2034
3.1 Global Ai In Space Exploration Market Overview, 2024
3.2 Global Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
3.3 Global Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
3.4 Global Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
3.5 Global Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
3.6 Global Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
3.7 Global Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
3.8 Global Ai In Space Exploration Market Size and Share Outlook by Region, 2025-2034

4. Asia Pacific Ai In Space Exploration Market Value, Market Share and Forecast to 2034
4.1 Asia Pacific Ai In Space Exploration Market Overview, 2024
4.2 Asia Pacific Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
4.3 Asia Pacific Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
4.4 Asia Pacific Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
4.5 Asia Pacific Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
4.6 Asia Pacific Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
4.7 Asia Pacific Ai In Space Exploration Market Size and Share Outlook by Country, 2025-2034
4.8 Key Companies in Asia Pacific Ai In Space Exploration Market

5. Europe Ai In Space Exploration Market Value, Market Share, and Forecast to 2034
5.1 Europe Ai In Space Exploration Market Overview, 2024
5.2 Europe Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
5.3 Europe Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
5.4 Europe Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
5.5 Europe Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
5.6 Europe Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
5.7 Europe Ai In Space Exploration Market Size and Share Outlook by Country, 2025-2034
5.8 Key Companies in Europe Ai In Space Exploration Market

6. North America Ai In Space Exploration Market Value, Market Share and Forecast to 2034
6.1 North America Ai In Space Exploration Market Overview, 2024
6.2 North America Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
6.3 North America Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
6.4 North America Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
6.5 North America Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
6.6 North America Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
6.7 North America Ai In Space Exploration Market Size and Share Outlook by Country, 2025-2034
6.8 Key Companies in North America Ai In Space Exploration Market

7. South and Central America Ai In Space Exploration Market Value, Market Share and Forecast to 2034
7.1 South and Central America Ai In Space Exploration Market Overview, 2024
7.2 South and Central America Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
7.3 South and Central America Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
7.4 South and Central America Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
7.5 South and Central America Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
7.6 South and Central America Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
7.7 South and Central America Ai In Space Exploration Market Size and Share Outlook by Country, 2025-2034
7.8 Key Companies in South and Central America Ai In Space Exploration Market

8. Middle East Africa Ai In Space Exploration Market Value, Market Share and Forecast to 2034
8.1 Middle East Africa Ai In Space Exploration Market Overview, 2024
8.2 Middle East and Africa Ai In Space Exploration Market Revenue and Forecast, 2025-2034 (US$ Billion)
8.3 Middle East Africa Ai In Space Exploration Market Size and Share Outlook By Product Type, 2025-2034
8.4 Middle East Africa Ai In Space Exploration Market Size and Share Outlook By Application, 2025-2034
8.5 Middle East Africa Ai In Space Exploration Market Size and Share Outlook By Technology, 2025-2034
8.6 Middle East Africa Ai In Space Exploration Market Size and Share Outlook By End User, 2025-2034
8.7 Middle East Africa Ai In Space Exploration Market Size and Share Outlook by Country, 2025-2034
8.8 Key Companies in Middle East Africa Ai In Space Exploration Market

9. Ai In Space Exploration Market Structure
9.1 Key Players
9.2 Ai In Space Exploration Companies – Key Strategies and Financial Analysis
9.2.1 Snapshot
9.2.3 Business Description
9.2.4 Products and Services
9.2.5 Financial Analysis

10. Ai In Space Exploration Industry Recent Developments

11 Appendix
11.1 Publisher Expertise
11.2 Research Methodology
11.3 Annual Subscription Plans
11.4 Contact Information

Companies Featured

• Lockheed Martin
• Airbus
• IBM
• Northrup Grumman
• Hewlett Packard Enterprise (HPE)
• Thales Group
• Booz Allen Hamilton
• Spacex
• Maxar Technologies Inc.
• Astroscale
• Planet Labs Inc.
• Spire Global
• Iceye
• Capella Space
• Blacksky Global
• Hawkeye 360
• D-Orbit
• Orbital Insight Inc.
• LeoLabs
• Slingshot Aerospace
• Kuva Space
• Analytical Space
• Raptor Maps
• Phase Four
• Descartes Labs
• AADYAH Aerospace
• Ubotica Technologies
• Swarm Technologies
• Exo-Space
• Craft Prospec

For more information about this report visit https://www.researchandmarkets.com/r/j78ddt

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• Ai In Space Exploration Market