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Facebook Marketplace Rolls Out Meta AI For Listings And Auto-Replies

Facebook Marketplace is introducing new Meta AI tools designed to simplify interactions between buyers and sellers. The features aim to reduce routine communication tasks and help sellers manage listings more efficiently.

Advanced Auto-Replies For Enhanced Customer Engagement

One of the key updates allows sellers to enable automatic replies to common buyer questions. The system uses information already included in the listing, such as the item description, price, availability and pickup location. Meta AI generates suggested responses that sellers can review and edit before activating. The goal is to reduce the time spent answering repetitive questions from potential buyers.

Straightforward Listing Creation With AI Assistance

Facebook Marketplace is also introducing an AI-assisted listing tool to speed up the selling process. Sellers can upload a product image, after which Meta AI generates a draft listing that includes a suggested description and a recommended price based on local market data. The feature is intended to simplify the listing process for users who sell items occasionally.

Robust Seller Profiles And Expanded Shipping Capabilities

Marketplace is also expanding the information displayed in seller profiles to help buyers evaluate sellers more easily. Profiles now show details such as how long the seller has been active on Facebook, the number of listings created, previous ratings and other activity indicators. The platform is also expanding shipping options. Sellers can now offer delivery using prepaid shipping labels and track orders through an integrated dashboard.

Integration With Broader Meta AI Initiatives

The new tools build on earlier AI integrations introduced across Facebook Marketplace. Previous features included AI assistants that help buyers generate questions about listings and tools that provide additional data for categories such as vehicle sales. These updates form part of Meta’s broader strategy to incorporate AI tools across its platforms in order to improve user experience and streamline digital marketplace transactions.

Cyprus Opens Draft AI Strategy With 3,000-Professional Target By 2032

Cyprus has released its draft National Artificial Intelligence Strategy for 2026–2032, setting out eight priority sectors, plans to select six national “moonshots” from 16 transformation programmes and a new framework for AI governance. The strategy proposes expanding AI adoption across government, business and research while building a pool of around 3,000 AI professionals by 2032. A public consultation on the draft is open until August 31.

Cyprus is starting from a relatively low level of AI adoption. According to the draft, 9.27% of Cypriot enterprises used AI in 2025, compared with an EU average of 19.95%.

“Yes, we are behind, and we need to catch up,” said Demetris Skourides, Cyprus’ Chief Scientist for Research, Innovation and Technology, during a recent presentation led by TechIsland.

Beyond increasing adoption, the strategy aims to position Cyprus as a trusted AI hub in the Eastern Mediterranean, an EU jurisdiction for AI services and a link between Europe and neighbouring regions. Its eight objectives include improving productivity, developing an inclusive AI ecosystem, transforming public services, strengthening AI skills and infrastructure, and establishing stronger governance and accountability.

The Eight Sectors Targeted For AI Adoption

The draft identifies eight areas where AI could deliver significant economic or public value.

Government and public services could use AI for administrative processes, citizen services and policy decisions, including virtual assistants, automated document processing, fraud detection and predictive analysis.

Finance and fintech are expected to benefit from applications in risk assessment, compliance, fraud prevention and personalised services. The strategy also proposes controlled testing environments for regulated AI products.

Healthcare and life sciences could use AI to improve coordination, support diagnosis, plan resources and advance research, subject to data protection, clinical governance and human oversight.

Tourism and hospitality are identified as another major opportunity, with potential applications including demand forecasting, visitor services, destination management and personalised travel experiences.

For the legal sector, the strategy highlights document analysis, research, case management and regulatory compliance, alongside safeguards for sensitive information.

Education and human capital would focus on personalised learning, digital skills and better monitoring of labour-market needs.

Shipping and maritime services could use AI for route planning, operational efficiency, maintenance, safety and environmental monitoring, building on Cyprus’ existing international presence in the sector.

Finally, entrepreneurship and innovation would receive support through access to testing facilities, expertise and funding for start-ups, researchers and companies developing AI products.

According to Skourides, five sectors are expected to form the first phase of the rollout: finance, tourism, legal services, healthcare and shipping.

For businesses, the proposed opportunities include sector-specific sandboxes, testbeds, funding mechanisms and shared computing infrastructure. Planned public-sector projects could also create opportunities for technology providers and other suppliers, although the draft does not yet define participation terms.

Six National “Moonshots”

The National AI Taskforce has identified 16 potential transformation programmes, with six expected to become national “moonshots” by 2032.

The proposed areas include healthcare coordination, government services, fraud detection, maritime operations, tourism demand forecasting and labour-market knowledge. The aim is to concentrate resources on a smaller number of projects with nationwide impact.

The final six have not yet been selected. According to the strategy, programmes will be assessed based on their potential impact on citizens and businesses, feasibility and expected value.

Large national projects could also create opportunities for technology companies, universities, professional services firms and sector specialists. Their commercial impact will depend on procurement rules, available budgets and the extent to which local companies can participate.

A New Framework For Public-Sector AI

Governance is a central part of the proposal. The draft calls for a National AI Authority to coordinate implementation, monitor compliance and oversee national priorities, alongside an Interministerial AI Council and AI officers or champions within ministries and public bodies.

Other proposed structures include a Government Innovation Hub, centres of excellence for industrial AI and cybersecurity, an AI Skills Observatory, regulatory sandboxes and technical testing facilities.

A shared national infrastructure would also give public bodies, researchers and companies access to computing capacity, cloud services, secure data environments and common AI tools.

The strategy proposes common standards for acquiring, testing and monitoring AI systems. Public bodies would be expected to assess risks, protect personal data and retain human responsibility for consequential decisions.

Some details remain open, including which institution would take on the proposed National AI Authority and how the various councils, hubs and centres would work together.

Building A 3,000-Person AI Talent Pool

Cyprus aims to develop around 3,000 AI professionals by 2032 through new university programmes, professional training, reskilling initiatives and measures to attract specialised talent.

The strategy also recognises that AI skills will be needed beyond technical roles. Public officials, managers, educators, lawyers and professionals in priority sectors will need sufficient knowledge to commission AI systems, assess risks and use the technology responsibly.

A proposed AI Skills Observatory would monitor labour-market demand and help align education and training with employers’ needs.

What Remains To Be Decided

While the draft sets out an extensive programme of infrastructure, training, governance and sector initiatives, several implementation details remain unresolved. The strategy refers to national and European funding sources, but does not yet provide a consolidated budget for individual measures. Timelines also overlap, while responsibilities for some actions have yet to be clearly assigned.

Adoption targets will also need clarification. The draft refers to 50% adoption across government and priority sectors by 2032, a 75% industry target by 2030 and a separate 75% target for government and the public sector by 2032. The document also estimates a potential productivity gain of up to 15%. This represents a projected scenario dependent on investment, adoption and effective implementation rather than a guaranteed economic return.

These gaps make the consultation particularly important, as businesses, researchers and the public can comment on funding, accountability, targets, procurement and access to the proposed programmes.

The public consultation is open until August 31, 2026, at 23:50. Contributors are asked to identify the relevant section of the strategy, submit a comment or recommendation and explain their reasoning.

Comments can be submitted through the Cyprus government’s e-consultation portal.

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