Published on LinkedIn and amitabhapte.com, 15th March 2026

This week, AI moved from strategy decks to org charts. Companies restructured around it, economists warned about it, robots were built to replace entry-level roles on both sides of the desk, and a startup reframed the computer itself as a delegate. AI is no longer just a tool you choose to use. It is increasingly the logic by which decisions about people, capital, and infrastructure get made.

1. Meta’s Bet: Fewer People, More Agents, New Markets

Three Meta stories this week that belong together. Reuters reported that Meta is planning layoffs affecting up to 20% of its workforce of roughly 79,000 people, its largest restructuring since 2022. The rationale is twofold: offset $600B in planned data centre investment by 2028 and capture the productivity gains of AI-assisted workers. In the same week, Meta acquired Moltbook, the Reddit-style social network for AI agents, folding it into Meta Superintelligence Labs as an always-on directory for agent-to-agent coordination. And Reliance Industries restructured its AI subsidiary REIL, with Meta’s Facebook Overseas picking up a 30% stake, formalising a strategic partnership targeting enterprise AI at India’s scale.

My PoV: These are not separate decisions. Meta is deliberately rebalancing: cutting human costs, acquiring agent infrastructure, and planting equity stakes in high-growth markets, all at the same time. If you haven’t built a clear internal narrative linking your AI investment to workforce implications, you are already behind the conversation your board is having.

2. The End of Entry-Level

ServiceNow CEO Bill McDermott told CNBC that graduate unemployment could reach the mid-30s within a few years as agents absorb white-collar entry-level work. To put that in context, the Federal Reserve Bank of New York currently puts graduate unemployment at 5.7%, with underemployment at 42.5%, the highest since 2020. The same week, Travis Kalanick launched Atoms, a specialised industrial robotics company targeting food, mining, and transport. His framing was deliberately economic: “gainfully employed robots, machines best suited for the job at hand.” Where McDermott sees AI compressing white-collar entry points, Kalanick is building the physical equivalent for blue-collar work. The entry point to work is narrowing on both sides at once.

My PoV: The mid-level talent of 2028 is being shaped right now. Entry-level pipelines into software, operations, and logistics are compressing simultaneously. Review your early-career hiring and graduate development programmes, not as a cost decision, but as a strategic investment in the people who will govern and manage your AI systems over the next decade.

3. When AI Becomes the Interface

Google launched Ask Maps, a Gemini-powered conversational layer inside the world’s most-used navigation app. With 2 billion monthly users, the shift is not subtle. You no longer type a destination. You describe a situation and let the system figure it out. Perplexity went further, launching Computer, a general-purpose digital worker that operates your full software stack, breaks goals into sub-tasks, and deploys specialised agents to get them done. In enterprise testing benchmarked against McKinsey, Harvard, MIT, and BCG standards, it completed an estimated 3.25 years of work in four weeks. Both products make the same argument: the interface layer is collapsing from menus and search boxes into intent and delegation.

My PoV: Users are learning to describe outcomes rather than navigate software. That expectation does not stay in consumer apps. It is already arriving in how people interact with enterprise systems, ERP, CRM, procurement, and the rest. Conversational, intent-driven interfaces need to be on your near-term roadmap. Not your 2028 one.

4. India Builds the Stack

The Adani Group committed $100 billion to build renewable-powered hyperscale AI data centres across India by 2035, expanding from 2GW to 5GW through AdaniConneX, anchored by partnerships with Google and Microsoft. Gautam Adani put it plainly: “India will not be a mere consumer in the AI age. We will be the creators, the builders, and the exporters of intelligence.” Read alongside the Reliance-Meta JV above, India’s approach is becoming structurally distinct. It is not just attracting global capital. It is negotiating equity and infrastructure ownership in return.

My PoV: India is building a domestic AI stack with real strategic ambition behind it. For enterprises with India operations, outsourcing relationships, or supply chain exposure, the talent and compute environment there is changing faster than most roadmaps account for. Worth factoring in sooner rather than later.

My Takeaway This Weekend

The word that connects this week’s stories is delegation. Companies are delegating headcount decisions to AI economics. Robots are taking on entry-level physical tasks. Google and Perplexity are delegating the interface itself to agents. India is delegating compute sovereignty to its own industrial groups.

AI leadership in 2026 is no longer about adoption. It is about knowing what to delegate, to whom, and under what governance. The organisations that navigate this well will not be the fastest movers. They will be the ones that redesigned their decision rights before the machine made the decision for them.