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UNEP FI’s Climate Pathways Navigator

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UNEP FI’s Climate Pathways Navigator

The UNEP FI Climate Pathways Navigator is a unique tool that gives financial institutions direct access to the climate scenario data they need to make informed, science-based decisions on their decarbonization pathways.

The tool helps financial institutions to set individual science-based targets, inform their transition plans and those of their clients and better engage clients and investees on climate action by having the right data available to them in one place.

Developed by UNEP FI in collaboration with banks, investors, insurers, and export credit agencies, the International Institute for Applied Systems Analysis (IIASA), and the Potsdam Institute for Climate Impact Research (PIK) it directly links to the Intergovernmental Panel on Climate Change (IPCC) scenarios database and those designed by industry. It cuts through hundreds of complex climate scenarios to make available the exact sectoral and regional data points financial institutions need, in one easy-to-use interface.

UNEP FI works with its members on how to mitigate and adapt to the commercial risks and opportunities they face due to climate change through the Principles for Responsible Banking (PRB) and Principles for Sustainable Insurance (PSI). This easy-to-use visual interface complements that work and addresses a critical need across the finance industry for practical, user-friendly climate analysis resources.

The tool is available at no cost to UNEP FI members and the broader financial community, governments, and policymakers.

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Access the tool here

  

Benefits of the tool
  • Enables financial institutions to improve their target setting, find the right scenarios for transition planning, and make well-informed and science-based decisions on decarbonization pathways.
  • Financial institutions can download data from one source and use in their existing systems.
  • Compare sectoral pathways across key datapoints tailored for target-setting. 
  • Compare the same sector across regions; highlight divergent points and timing. 
  • Filter hundreds of scenarios in seconds to find those that align with your target decarbonization ranges and transition plans.
  • The tool brings together Intergovernmental Panel on Climate Change (IPCC) scenarios as well as those designed by industry, as has never been done before, in one platform.
  • Provides a common reference point for dialogue between financial institutions, corporates, governments, sector associations, and NGOs on how to enable the low-carbon transition.
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Testimonials
Derya Sargın Malkoç

Unit Manager, Investor Relations and Sustainability Division, Isbank

“Navigating the climate transition is no longer optional for the banking sector; it is central to how we do business. The Climate Pathways Navigator serves as a bridge, transforming high-level climate science into clear, actionable signals for the transition pathways that financial portfolios must follow.”

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Jean-Francois Coppenolle

Investment Director, Abeille Assurances

“As an investor dealing with rapidly evolving climate risks, I look for tools that convert scientific complexity into actionable insight. The Climate Pathways Navigator offers exactly that: clear, intuitive access to sector‑specific and regional insights drawn from leading climate scenarios.”

Moreno Capretti

Unit-Linked and Pension Investments, Intesa Sanpaolo Assicurazioni

“The Climate Pathways Navigator brings together hundreds of climate scenarios. By translating complex IAM datasets into clear sectoral indicators, it helps financial institutions compare pathways across models and use them more effectively for scenario analysis and target setting.”

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Frequently Asked Questions
  • Power
  • Steel
  • Cement
  • Transport (with sub-sector clusters for road, shipping, and aviation)
  • Buildings (residential and commercial)

The tool can provide data on the world, regional groupings (see list below) and multiple individual countries.

  • Africa
  • China+
  • Europe
  • India+
  • Latin America
  • Middle East
  • North America
  • Pacific OECD
  • Reforming Economies
  • Rest of Asia
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IPCC 6th Assessment Report Scenarios (2022), curated scenarios from the Scenario Compass Ensemble, and Sectoral Decarbonization Pathways developed by organizations such as the International Energy Agency, the One Earth Climate Model, or Mission Possible Partnership. Visit the About page for more information on available scenarios.

  • Direct emissions: From fossil fuel combustion within each sector.
  • Process emissions: Non-fossil fuel emissions arising from industrial processes, such as cement and steel production.
  • Indirect emissions: Emissions from the production of electricity, heat, and hydrogen from fossil fuels, allocated to end-use sectors based on projected consumption.

Emissions are reported for CO₂ alone or for all greenhouse gases (Kyoto gases: CO₂, CH₄, N₂O, HFCs, PFCs, SF₆). Sectoral Decarbonization Pathways cover different scopes and gas combinations. For Systemic Climate Pathways, we have calculated multiple scope variations where underlying data is permitted.

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Yes, all data is downloadable via CSV file through the Data Explorer tab.

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The categories are defined by the probability of returning to a given temperature by end of century:

  • 1.5°C – 50% probability of returning to 1.5°C by end of century
  • Below 2°C – Two-thirds chance of reaching 2°C by end of century
  • Above 2°C – Less than one-third chance of reaching 2°C by end of century

The first two categories correspond to alignment with the Paris Agreement. The ‘above 2°C’ category is a grouping of scenarios defined by probability thresholds, not by a specific projected temperature outcome. It does not break down each scenario’s individual projected output.

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Contact

To find out more about the tool, contact Jes Andrews, Co-Head of Climate at UNEP FI.

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Finance

UK financial regulator publishes landmark AI review

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UK financial regulator publishes landmark AI review

The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.

The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”

The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.

Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.

The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted.   Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.

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The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.

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Fayette County Public Schools Board of Education approves audit contract, new finance director position

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Fayette County Public Schools Board of Education approves audit contract, new finance director position

LEXINGTON, Ky. (WKYT) – The Fayette County Public Schools Board of Education approved a one-year audit contract capped at $131,750 plus $225 per hour during a virtual meeting Monday, along with a new finance director job description.

The contract is with Mauldin & Jenkins Certified Public Accountants, an Atlanta-based firm, and covers the 2025-26 fiscal year and the restatement of the 2024-25 fiscal year and ancillary services through FY 2029-2030. The work is set to be completed by Nov. 15.

The board approved the contract in a 5-0 vote.

Audit contract details

Interim Chief Financial Officer Kyna Koch said the cost is already accounted for in the district’s budget.

“And is actually less than we expected given our current situation — we were thrilled with the bid,” Koch said.

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Koch said she believes this is Mauldin & Jenkins’ first school district audit in Kentucky, but that the firm works with school districts of more than 100,000 students throughout the Southeast.

“Quite frankly when I spoke to the folks at KDE they were thrilled because we’re running kind of short of auditors who want to do school district audits — so all around I think this was a win-win for everyone,” Koch said.

New finance director position

The board also approved a new job description for the position of Director of Finance. Acting Superintendent Dr. Bill Bradford said the title will replace two associate director positions.

“Which will not only save the school district money but it’s also going to streamline our work and align internal controls to make room for a more efficient unit,” Bradford said.

Koch said the position will be posted as soon as possible following the board’s approval.

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Closed session

The board went into closed session for more than an hour to discuss pending investigations that could lead to employee discipline. When the board returned, it took no action and adjourned the meeting.

Copyright 2026 WKYT. All rights reserved.

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Finance

UK Watchdog Urged to Consider Broader Oversight of AI Financial Firms | PYMNTS.com

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UK Watchdog Urged to Consider Broader Oversight of AI Financial Firms | PYMNTS.com

The UK’s financial regulator should consider expanding its oversight to cover advanced artificial intelligence models used in financial services, according to a review commissioned by the Financial Conduct Authority (FCA), as policymakers assess whether existing rules can keep pace with rapidly evolving AI technology.

According to Bloomberg, the review recommends that the FCA evaluate whether large language models developed by companies including OpenAI and Anthropic should fall within the regulator’s remit if they play an increasingly significant role in consumer financial services. The report was led by Sheldon Mills, an executive director at the FCA, and was published on Monday.

The review concludes that the UK’s current activity-based regulatory framework does not require a wholesale overhaul. However, it warns that continued advances in AI capabilities and wider adoption of AI-powered financial products could expose gaps in existing oversight if technology providers increasingly influence regulated financial activities, Bloomberg reported.

Among its recommendations, the report calls for a review of the FCA’s regulatory perimeter and suggests strengthening the regulator’s authority under the UK’s Critical Third Parties regime. Such changes could allow the watchdog to exercise greater oversight of technology providers whose services have become integral to financial markets, including major AI developers and cloud infrastructure companies.

The recommendations reflect growing concern that artificial intelligence is reshaping how financial products are designed, distributed and used. Banks and other financial institutions are increasingly deploying generative AI to support customer service, fraud detection, compliance functions and financial guidance, while consumers are also turning directly to general-purpose AI tools for financial information.

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The review also raises broader competition and market structure issues. As financial institutions rely on a relatively small number of AI model developers and cloud computing providers, operational dependencies could become concentrated among a handful of technology companies. That concentration may create systemic risks if disruptions or failures affect widely used platforms, while also potentially shifting market power away from regulated financial institutions toward large technology providers.

Those concerns mirror recommendations made earlier this year by the UK Parliament’s Treasury Committee, which urged the government to designate major AI and cloud providers as Critical Third Parties, arguing that regulators need stronger supervisory tools as digital infrastructure becomes increasingly central to financial stability.

The FCA launched the Mills Review in January to examine how artificial intelligence could transform retail financial services by the end of the decade. The consultation considered AI’s impact on competition, consumer behavior, market structure and the regulatory framework, with the aim of identifying whether financial regulation should evolve alongside technological change.

According to Bloomberg, the FCA will now consider the report’s recommendations, including whether its regulatory responsibilities should be expanded to reflect the growing influence of general-purpose AI systems in financial services. Any changes to the regulator’s statutory powers would require action by the UK government and would form part of broader efforts to balance innovation, consumer protection, financial stability and effective competition as AI adoption accelerates.

Source: Bloomberg

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