Climate Change Analysts

Provide analytical support for policy briefs related to renewable energy, energy efficiency, or climate change.

AI: Fully automatable - AI tools in 2025 can perform literature reviews, run scenario analyses, and draft evidence-based policy briefs on renewable energy and efficiency to provide analytical support for policymakers.

Analyze and distill climate-related research findings to inform legislators, regulatory agencies, or other stakeholders.

AI: Fully automatable - AI can synthesize, summarize, and translate climate research into accessible findings and recommendations for legislators and agencies with high fidelity and speed.

Prepare study reports, memoranda, briefs, testimonies, or other written materials to inform government or environmental groups on environmental issues such as climate change.

AI: Fully automatable - AI can draft study reports, memos, briefs, and testimonies grounded in data and literature, producing publishable written materials that inform government and environmental groups.

Write reports or academic papers to communicate findings of climate-related studies.

AI: Fully automatable - Given study findings and data, modern AI can produce well-structured, publication-ready reports or paper drafts, though humans typically handle final validation and peer-review submission tasks.

Develop, or contribute to the development of, educational or outreach programs on the environment or climate change.

AI: Fully automatable - AI can design curricula, outreach materials, multimedia content, and assessment tools at scale, enabling full development of educational modules though implementation and community tailoring benefit from human practitioners.

Make legislative recommendations related to climate change or environmental management, based on climate change policies, principles, programs, practices, and processes.

AI: Partial - AI can generate evidence-based legislative options and evaluate tradeoffs, but making politically viable recommendations and assuming accountability for policy choices requires human policymakers and experts.

Promote initiatives to mitigate climate change with government or environmental groups.

AI: Partial - AI can create outreach materials, model campaign impacts, and automate parts of promotion, but building political will, negotiating with stakeholders, and leading initiatives remains a human-driven activity.

Research policies, practices, or procedures for climate or environmental management.

AI: Partial - AI can rapidly gather and synthesize public policies and documented practices but often lacks the contextual judgment and access to proprietary/internal sources needed for fully autonomous research.

Review existing policies or legislation to identify environmental impacts.

AI: Partial - AI can identify and summarize likely environmental impacts from legislation using NLP and databases, but nuanced legal interpretation and stakeholder-specific implications still require human expertise.

Present climate-related information at public interest, governmental, or other meetings.

AI: Partial - AI can create presentations, speaking notes, and even deliver scripted virtual talks, but cannot fully replicate real-time stakeholder engagement, unscripted Q&A, or the credibility of an in-person expert presenter.

Gather and review climate-related studies from government agencies, research laboratories, and other organizations.

AI: Partial - AI can automate literature search and initial critical summaries across agencies and labs, but deep critical appraisal and synthesis across heterogeneous evidence bases require human oversight.

Prepare grant applications to obtain funding for programs related to climate change, environmental management, or sustainability.

AI: Partial - AI can draft compelling grant narratives, budgets templates, and tailor applications to funder priorities, but completing institutional, financial, and strategic elements and securing approvals remains a human-led process.

Propose new or modified policies involving use of traditional and alternative fuels, transportation of goods, and other factors relating to climate and climate change.

AI: Partial - AI can generate evidence-based policy proposals and model impacts, but assessing political feasibility, regulatory constraints, and stakeholder negotiation requires human judgment and engagement.

Present and defend proposals for climate change research projects.

AI: Partial - AI can prepare presentations and simulate defenses including anticipated questions, but cannot fully withstand unscripted, expert-level interrogation or represent organizations in high-stakes live defenses.