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Meta Chief Executive Officer Mark Zuckerberg has outlined plans for a significant expansion of artificial intelligence capabilities in 2026, including the introduction of what he described as agentic commerce tools. The comments signal a shift toward more autonomous AI systems that can act on behalf of users across Meta’s platforms, with a particular focus on commerce, discovery and task execution.

Speaking about the company’s longer-term AI roadmap, Zuckerberg suggested that Meta is moving beyond conversational assistants toward systems capable of taking actions, making decisions and completing multi-step tasks. These agentic tools are expected to play a growing role in how users interact with businesses, creators and services on platforms such as Facebook, Instagram and WhatsApp.

Agentic AI refers to systems that can operate with a degree of autonomy, carrying out tasks once given high-level instructions. In a commerce context, this could include helping users find products, compare options, complete purchases and manage follow-up actions such as tracking deliveries or handling returns. Meta’s interest in this area reflects broader industry momentum toward AI systems that do more than respond to prompts.

Zuckerberg indicated that commerce is a natural application for agentic AI because it involves repeated decisions, preferences and transactions. By embedding such capabilities directly into social platforms, Meta aims to reduce friction between discovery and purchase while creating new opportunities for businesses to reach customers.

The planned rollout is part of a wider AI push at Meta that is expected to accelerate through 2026. The company has been investing heavily in AI infrastructure, models and talent, positioning artificial intelligence as a core pillar of its future growth strategy. This includes work on large language models, recommendation systems and generative tools for creators and advertisers.

Meta’s platforms already play a significant role in digital commerce through features such as social shopping, ads and business messaging. Agentic tools could extend these capabilities by enabling AI systems to manage more complex interactions, potentially reshaping how commerce functions within social environments.

Zuckerberg’s comments also reflect a broader shift in how technology companies frame AI value. Rather than focusing solely on chat interfaces, companies are increasingly emphasising outcomes such as task completion, productivity and transaction facilitation. Agentic AI is positioned as a way to deliver tangible utility beyond conversation.

The AI rollout is expected to touch multiple parts of Meta’s ecosystem. In messaging apps, agentic tools could assist users in booking services or making purchases through chat. On social feeds, AI could help surface relevant products and offers based on context and intent. For businesses, these systems could automate customer engagement and sales processes.

However, the move toward more autonomous AI also raises questions around trust, control and transparency. Systems that act on behalf of users must be designed carefully to avoid errors, bias or unintended consequences. Meta has previously faced scrutiny over algorithmic decision making, and agentic AI will likely attract similar attention.

Zuckerberg acknowledged that safety and responsibility will be central considerations as Meta develops these tools. Ensuring that users understand how AI systems operate and retain control over decisions will be critical for adoption and regulatory compliance.

The company’s focus on 2026 as a milestone suggests that significant development work remains. Building reliable agentic systems requires advances in reasoning, memory and context handling. It also demands robust infrastructure capable of supporting real-time decision making at scale.

Meta’s AI ambitions are unfolding amid intense competition. Rivals across the technology sector are racing to develop AI systems that can perform complex tasks and integrate seamlessly into everyday workflows. Agentic commerce is emerging as a key battleground, particularly as digital platforms seek to capture more of the transaction lifecycle.

For advertisers and merchants, Meta’s plans could offer new ways to reach customers. AI-driven agents could help personalise offers, manage campaigns and respond to customer queries more efficiently. This aligns with Meta’s long-standing focus on monetisation through advertising and commerce services.

At the same time, businesses may need to adapt to a landscape where AI systems increasingly mediate customer interactions. Optimising for agentic discovery and transaction flows could become as important as traditional search or social optimisation.

The broader AI rollout is also expected to benefit creators. Meta has been experimenting with generative AI tools that help creators produce content, manage communities and monetise their audiences. Agentic systems could further automate aspects of these workflows, freeing creators to focus on strategy and creativity.

Zuckerberg’s comments underscore Meta’s belief that AI will be foundational to the next phase of digital platforms. Rather than existing as standalone features, AI is expected to be embedded deeply into how users discover content, connect with others and conduct transactions.

The emphasis on 2026 reflects a long-term view. While Meta continues to release incremental AI features, the company appears to be positioning agentic systems as a more transformative step that requires careful rollout and user education.

Industry analysts note that success will depend on execution. Delivering agentic commerce tools that are reliable, intuitive and trusted will be essential for adoption. Missteps could erode confidence and attract regulatory scrutiny.

As Meta prepares for this next phase, the company’s investments in AI infrastructure and research are likely to intensify. Data centres, specialised hardware and model training will play a key role in enabling agentic capabilities at scale.

The coming years are expected to see rapid experimentation across the industry as companies test how far AI autonomy can be pushed in consumer and commercial contexts. Meta’s plans place it among the firms betting that agentic AI will redefine digital interaction.

Zuckerberg’s vision for 2026 suggests a future where AI systems act less like tools and more like participants in digital ecosystems. If realised, this shift could change how users experience social platforms and how commerce is conducted online.

As Meta moves forward, the balance between innovation, control and responsibility will remain a central challenge. The rollout of agentic commerce tools will serve as a key test of whether autonomous AI can deliver meaningful value while maintaining user trust.