4/3/2026 1:37:30 PM - Message: New survey response : d8baad47-f35a-4299-a25a-a1a312b78084, SurveyTitle: DIG/3-4-2026/12:08:24 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:1.1 Name of Outlet:, Value:Winelandsecho 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:1.3 Tier of Support:, Value:Grow 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:1.4 Programme/Project Title:, Value:Grow 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:1.5 Reporting Timeline (Specify the reporting period e.g. 1 – 31 January 2026):, Value:1march 31 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:1.6 Total value of grant funding (As stipulated in the funding agreement):, Value:679000 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:2.1 Please provide a short summary of the interventions being implemented under this grant:, Value:It strengthen our digital platform across the website and social platforms. This will increase our content quality, community engagement, and expending audience reach to consistent relevant and local stories. 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:2.2 Please provide progress updates on project activities/interventions listed under 2.1:, Value:Significant progress has been made in implementing project activities across the website, social media platform, and watsuo channel. Winelands Echo website has been regularly updated with relevant community focus content. User experience including navigation and mobile accessibility. News articles and local stories and multimedia content arr been published consistently contributing to site visits and readers engagements. Facebook and Instagram strengthens considerably with the focus on timely news and community updates and Visaul storytelling. Audience engagement improves with noticeable growth in followers, shares, comments, and overall reach. Social media increasingly been use as a key to drive traffic to the website. WhatsApp platform has been successfully established with the community. Regular updates,news alerts, and important local information. Platform shows steady growth in membership , and high engagement levels 4/3/2026 1:37:30 PM - Message: ResponseValue(0/1) to add :- questionText:2.4 Select applicable OUTCOME Key Performance Indicators achieved during this reporting period: (Select all that apply and N/A if none apply), Value:Notapplicable 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Comments:, Value:FacebookTarget is 10-20% per reporting period. 3-5 post per week. 15%Increase in post reach target. Increase engagement, likes and shares and comments. Instagram target is 10-20% followers. Publisher 3-4 reels per week Maintain consistent stories 3'5 per week. WhstApp target 15-25% Growth Shares 3-7 Updates per week Maintain high open _ read rate 70-90% Increase audience interaction 10-20%. Combine audience growth across all platforms is 15-25% Actual growth Facebook shows steady growth with Increase audience interaction and improve content visibility Instagram performance improve though consistent visual content, and reels, contributing to audience growth. WhatsApp remaining the fastest growing platform, with high engagement and direct communication with the community. Audience engagement improve. Website is attracting more new and returning users, showing audience trust. Increase page views indicating that users are engaging with multiple stories per visitors. Mobile use remain high. 4/3/2026 1:37:30 PM - Message: ResponseValue(0/1) to add :- questionText:4.1 Select targeted Provinces: (Below disaggregate the total number of people reached. Select all Provinces that apply), Value:WesternCape 4/3/2026 1:37:30 PM - Message: ResponseValue(0/1) to add :- questionText:Please indicate the settlement type of the communities reached:, Value:Periurban 4/3/2026 1:37:30 PM - Message: ResponseValue(0/2) to add :- questionText:5.1 Select targeted languages: (Select all that apply), Value:Afrikaans 4/3/2026 1:37:30 PM - Message: ResponseValue(1/2) to add :- questionText:5.1 Select targeted languages: (Select all that apply), Value:English 4/3/2026 1:37:30 PM - Message: ResponseValue(0/5) to add :- questionText:6.1 Select platforms used to engage with audiences: (Select all that apply), Value:WebApp 4/3/2026 1:37:30 PM - Message: ResponseValue(1/5) to add :- questionText:6.1 Select platforms used to engage with audiences: (Select all that apply), Value:Newsletter 4/3/2026 1:37:30 PM - Message: ResponseValue(2/5) to add :- questionText:6.1 Select platforms used to engage with audiences: (Select all that apply), Value:SocialMedia 4/3/2026 1:37:30 PM - Message: ResponseValue(3/5) to add :- questionText:6.1 Select platforms used to engage with audiences: (Select all that apply), Value:VideoYouTube 4/3/2026 1:37:30 PM - Message: ResponseValue(4/5) to add :- questionText:6.1 Select platforms used to engage with audiences: (Select all that apply), Value:Other 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Specify 'other platforms' used to reach audiences:, Value:Reels and videos 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:7.1 Provide a description of successes and highlights during the reporting period:, Value:WhatsApp business channel shows high interaction. FACEBOOK PAGE video attracts lots of viewers and book sells 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:8.1 Total Grant Amount:, Value:679000 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:8.2 Amount Disbursed by DNTF to Date:, Value:407000 4/3/2026 1:37:30 PM - Message: ResponseValue(0/4) to add :- questionText:8.3 Utilisation of the Grant by Item/Activity (Select all that apply and provide details on applicable expenditure and notes below):, Value:Personnel 4/3/2026 1:37:30 PM - Message: ResponseValue(1/4) to add :- questionText:8.3 Utilisation of the Grant by Item/Activity (Select all that apply and provide details on applicable expenditure and notes below):, Value:Travel 4/3/2026 1:37:30 PM - Message: ResponseValue(2/4) to add :- questionText:8.3 Utilisation of the Grant by Item/Activity (Select all that apply and provide details on applicable expenditure and notes below):, Value:Equipment 4/3/2026 1:37:30 PM - Message: ResponseValue(3/4) to add :- questionText:8.3 Utilisation of the Grant by Item/Activity (Select all that apply and provide details on applicable expenditure and notes below):, Value:TechnologyPlatformDevelopment 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Total Budget:, Value:30000 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Total Budget:, Value:830 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Total Budget:, Value:4000 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Total Budget:, Value:5780 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:Total Budget:, Value:40610 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.1 Full Name:, Value:Josef Bushby 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.2 Position:, Value:Publisher 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.3 Contact Number:, Value:0665216455 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.4 Email Address:, Value:ads.wlecho@gmail.com 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.5 Signature:, Value: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 4/3/2026 1:37:30 PM - Message: ResponseValue to add :- questionText:10.6 Date:, Value:2026-04-03 4/3/2026 1:37:31 PM - Message: Response Documents : True 4/3/2026 6:08:18 PM - Message: Billing email received malcolm@magnify.consulting 4/3/2026 6:08:18 PM - Message: New payment made 4/3/2026 6:08:18 PM - Message: CreateProject: will add user: 5c1d578a-e7de-4a1a-8e2e-ee2fc21fdffa to new project for company: 8a2110ff-a0a2-4a45-8f47-aa3240f448bb 4/3/2026 6:08:18 PM - Message: CreateProject: will add user: 5c1d578a-e7de-4a1a-8e2e-ee2fc21fdffa to new project for company: 8a2110ff-a0a2-4a45-8f47-aa3240f448bb 4/3/2026 6:08:18 PM - Message: AddActivity: No Affected user. affectedUserID: 4/3/2026 6:08:19 PM - Message: CreateSurvey: will add user: 5c1d578a-e7de-4a1a-8e2e-ee2fc21fdffa to new survey for company: 8a2110ff-a0a2-4a45-8f47-aa3240f448bb 4/3/2026 6:08:19 PM - Message: AddActivity: No Affected user. affectedUserID: 4/3/2026 6:08:19 PM - Message: POSITION 1 4/3/2026 6:08:19 PM - Message: AddActivity: No Affected user. affectedUserID: 4/3/2026 10:03:16 PM - Message: New survey response : b78faef4-4ced-4ace-b635-08d1086757dd, SurveyTitle: AI /3-4-2026/10:35:16 4/3/2026 10:03:16 PM - Message: New survey response : b78faef4-4ced-4ace-b635-08d1086757dd, SurveyTitle: AI /3-4-2026/10:35:16 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.1 In which country income category is your primary professional activity based?, Value:Lowermiddleincomecountry 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.1 In which country income category is your primary professional activity based?, Value:Lowermiddleincomecountry 4/3/2026 10:03:16 PM - Message: ResponseValue(0/1) to add :- questionText:1.2 In which regions do you currently operate? (Select all that apply), Value:Global 4/3/2026 10:03:16 PM - Message: ResponseValue(0/1) to add :- questionText:1.2 In which regions do you currently operate? (Select all that apply), Value:Global 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.3 Primary sector:, Value:ResearchAcademia 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.3 Primary sector:, Value:ResearchAcademia 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.4 If applicable, how would you classify your organization’s market position?, Value:Notapplicableunsure 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.4 If applicable, how would you classify your organization’s market position?, Value:Notapplicableunsure 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.5 What is your primary role?, Value:Researchadvisory 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.5 What is your primary role?, Value:Researchadvisory 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.1 In your view, what is the biggest barrier to deploying AI-enabled energy solutions in developing countries?, Value:Dataavailability 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.1 In your view, what is the biggest barrier to deploying AI-enabled energy solutions in developing countries?, Value:Dataavailability 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.2 How effective are current government policies in your region/country at promoting affordable access to energy and digital infrastructure needed for AI?, Value:Veryeffective 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.2 How effective are current government policies in your region/country at promoting affordable access to energy and digital infrastructure needed for AI?, Value:Veryeffective 4/3/2026 10:03:16 PM - Message: ResponseValue(0/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Publicprocurement 4/3/2026 10:03:16 PM - Message: ResponseValue(0/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Publicprocurement 4/3/2026 10:03:16 PM - Message: ResponseValue(1/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Regulationandstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(1/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Regulationandstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(2/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Localmanufacturingorassembly 4/3/2026 10:03:16 PM - Message: ResponseValue(2/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Localmanufacturingorassembly 4/3/2026 10:03:16 PM - Message: ResponseValue(3/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Universalserviceobligations 4/3/2026 10:03:16 PM - Message: ResponseValue(3/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Universalserviceobligations 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.4 To what extent do current AI-enabled energy solutions risk creating new forms of technological dependency?, Value:Veryhigh 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.4 To what extent do current AI-enabled energy solutions risk creating new forms of technological dependency?, Value:Veryhigh 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Localdataownership 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Localdataownership 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Transparentpricingmodels 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Transparentpricingmodels 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.1 How significant do you expect AI-driven demand (e.g. data centers, digital infrastructure) to be for future energy growth in developing countries?, Value:Verysignificant 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.1 How significant do you expect AI-driven demand (e.g. data centers, digital infrastructure) to be for future energy growth in developing countries?, Value:Verysignificant 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.2 In your experience, does AI currently accelerate or slow down the transition to renewable energy?, Value:Stronglyaccelerates 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.2 In your experience, does AI currently accelerate or slow down the transition to renewable energy?, Value:Stronglyaccelerates 4/3/2026 10:03:16 PM - Message: ResponseValue(0/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Forecastinganddemandmanagement 4/3/2026 10:03:16 PM - Message: ResponseValue(0/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Forecastinganddemandmanagement 4/3/2026 10:03:16 PM - Message: ResponseValue(1/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Gridoptimizationandstability 4/3/2026 10:03:16 PM - Message: ResponseValue(1/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Gridoptimizationandstability 4/3/2026 10:03:16 PM - Message: ResponseValue(2/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Integrationofdistributedenergyresources 4/3/2026 10:03:16 PM - Message: ResponseValue(2/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Integrationofdistributedenergyresources 4/3/2026 10:03:16 PM - Message: ResponseValue(3/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Energystorageoptimization 4/3/2026 10:03:16 PM - Message: ResponseValue(3/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Energystorageoptimization 4/3/2026 10:03:16 PM - Message: ResponseValue(4/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Climateriskandresilienceplanning 4/3/2026 10:03:16 PM - Message: ResponseValue(4/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Climateriskandresilienceplanning 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.4 Are current AI investments being effectively aligned with renewable energy deployment in emerging economies?, Value:Partially 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.4 Are current AI investments being effectively aligned with renewable energy deployment in emerging economies?, Value:Partially 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Renewableenergymandates 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Renewableenergymandates 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Corporaterenewableprocurementcommitments 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Corporaterenewableprocurementcommitments 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.1 How much influence do Tier 1 energy and technology companies have over energy and AI outcomes in developing countries?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.1 How much influence do Tier 1 energy and technology companies have over energy and AI outcomes in developing countries?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Interoperableandopentechnologies 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Interoperableandopentechnologies 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Long-terminfrastructureinvestment 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Long-terminfrastructureinvestment 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Datatransparencyandgovernance 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Datatransparencyandgovernance 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.3 To what extent do current Tier 1 business models risk reinforcing market concentration or technology lock-in?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.3 To what extent do current Tier 1 business models risk reinforcing market concentration or technology lock-in?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Regulationandcompliancerequirements 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Regulationandcompliancerequirements 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Transparencyandreportingstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Transparencyandreportingstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Public–privatepartnerships 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Public–privatepartnerships 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.5 How effective are current technology transfer and knowledge-sharing efforts led by Tier 1 companies?, Value:Somewhateffective 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.5 How effective are current technology transfer and knowledge-sharing efforts led by Tier 1 companies?, Value:Somewhateffective 4/3/2026 10:03:16 PM - Message: New survey response : b78faef4-4ced-4ace-b635-08d1086757dd, SurveyTitle: AI /3-4-2026/10:35:16 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.1 In which country income category is your primary professional activity based?, Value:Lowermiddleincomecountry 4/3/2026 10:03:16 PM - Message: ResponseValue(0/1) to add :- questionText:1.2 In which regions do you currently operate? (Select all that apply), Value:Global 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.3 Primary sector:, Value:ResearchAcademia 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.4 If applicable, how would you classify your organization’s market position?, Value:Notapplicableunsure 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:1.5 What is your primary role?, Value:Researchadvisory 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.1 In your view, what is the biggest barrier to deploying AI-enabled energy solutions in developing countries?, Value:Dataavailability 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.2 How effective are current government policies in your region/country at promoting affordable access to energy and digital infrastructure needed for AI?, Value:Veryeffective 4/3/2026 10:03:16 PM - Message: ResponseValue(0/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Publicprocurement 4/3/2026 10:03:16 PM - Message: ResponseValue(1/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Regulationandstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(2/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Localmanufacturingorassembly 4/3/2026 10:03:16 PM - Message: ResponseValue(3/4) to add :- questionText:2.3 Which government levers are most important to democratize last-mile energy and AI access? (Select up to 2), Value:Universalserviceobligations 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:2.4 To what extent do current AI-enabled energy solutions risk creating new forms of technological dependency?, Value:Veryhigh 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Localdataownership 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:2.5 Which design features most help avoid dependency and lock-in? (Select up to 2), Value:Transparentpricingmodels 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.1 How significant do you expect AI-driven demand (e.g. data centers, digital infrastructure) to be for future energy growth in developing countries?, Value:Verysignificant 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.2 In your experience, does AI currently accelerate or slow down the transition to renewable energy?, Value:Stronglyaccelerates 4/3/2026 10:03:16 PM - Message: ResponseValue(0/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Forecastinganddemandmanagement 4/3/2026 10:03:16 PM - Message: ResponseValue(1/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Gridoptimizationandstability 4/3/2026 10:03:16 PM - Message: ResponseValue(2/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Integrationofdistributedenergyresources 4/3/2026 10:03:16 PM - Message: ResponseValue(3/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Energystorageoptimization 4/3/2026 10:03:16 PM - Message: ResponseValue(4/5) to add :- questionText:3.3 What role can AI play in enabling renewable energy systems? (Select up to 2), Value:Climateriskandresilienceplanning 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:3.4 Are current AI investments being effectively aligned with renewable energy deployment in emerging economies?, Value:Partially 4/3/2026 10:03:16 PM - Message: ResponseValue(0/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Renewableenergymandates 4/3/2026 10:03:16 PM - Message: ResponseValue(1/2) to add :- questionText:3.5 Which mechanisms could best ensure that new energy capacity driven by AI demand is green? (Select up to 2), Value:Corporaterenewableprocurementcommitments 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.1 How much influence do Tier 1 energy and technology companies have over energy and AI outcomes in developing countries?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Interoperableandopentechnologies 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Long-terminfrastructureinvestment 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.2 Which responsibilities should Tier 1 companies prioritize? (Select up to 2), Value:Datatransparencyandgovernance 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.3 To what extent do current Tier 1 business models risk reinforcing market concentration or technology lock-in?, Value:Moderate 4/3/2026 10:03:16 PM - Message: ResponseValue(0/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Regulationandcompliancerequirements 4/3/2026 10:03:16 PM - Message: ResponseValue(1/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Transparencyandreportingstandards 4/3/2026 10:03:16 PM - Message: ResponseValue(2/3) to add :- questionText:4.4 Which accountability mechanisms are most effective for Tier 1 companies operating in developing countries? (Select up to 2), Value:Public–privatepartnerships 4/3/2026 10:03:16 PM - Message: ResponseValue to add :- questionText:4.5 How effective are current technology transfer and knowledge-sharing efforts led by Tier 1 companies?, Value:Somewhateffective