Today’s stories share one thread. AI is bending GDP forecasts, capex plans, and HR org charts at the same time. The Taiwan AI export boom just pushed Taipei’s 2026 growth outlook to a 16-year high. Meanwhile, SoftBank committed €75 billion to build power-hungry French data centers. DeepMind’s coding agent moved into genomics labs and quantum hardware. And 82% of CEOs now say the future of HR is humans plus digital agents on the same team. If your stack is still tuned for last year, the gap is widening fast.

Taiwan AI Export Boom Just Rewrote a Major Economy’s GDP Forecast

What happened

Taiwan’s statistics bureau (the DGBAS) raised its 2026 GDP growth forecast to 9.64% on May 29, up from 7.71% in February. That is the country’s highest annual projection since 2010. Exports are now expected to rise 39.77% this year, the fastest pace in five decades. The driver is concentrated in one place. AI demand routed through TSMC, Foxconn, and the rest of the island’s chip supply chain (Source: Bloomberg; Taipei Times).

Why the Taiwan AI export boom matters for founders and HR leaders

For founders, this is a market signal you cannot ignore. A national economy just repriced itself upward by nearly two percentage points because of one industry’s demand cycle. AI capex is real money moving through real supply chains. Hardware is winning the budget conversation, not slide-deck optimism.

Second, hiring around AI infrastructure will get more competitive, faster. That means data engineers, hardware-software integration leads, and supply chain analysts. Taiwan’s labor market is already tight. Specifically, talent who can speak fluent chip-stack, GPU-cluster, or sovereign-AI ops will be expensive everywhere in Asia by Q4. If you plan to hire AI engineers in India, lock benchmarks this quarter.

Third, for HR leaders running distributed teams, the macro picture means your APAC compensation bands need a refresh. Local CPI may stay reasonable. However, the wage premium for AI-adjacent roles is widening. If your salary bands still match 2025 inflation, you will lose candidates to a supply chain getting richer faster than you are.

What to do this week

Two moves. First, pull a fresh compensation benchmark for any AI infrastructure or chip-adjacent role you hire in Taiwan, Singapore, or India. Second, if you are a founder selling into the APAC enterprise market, route your outbound through Taipei or Hsinchu before competitors do.

SoftBank Commits €75B as the AI Infrastructure Boom Spreads to France

SoftBank announced on May 30 that it will invest up to €75 billion to build 5 GW of AI data center capacity in France. The first phase, €45 billion, delivers 3.1 GW across Dunkirk, Bosquel, and Bouchain in the Hauts-de-France region by 2031. The announcement landed at President Macron’s Choose France summit and reflects months of personal diplomacy between Macron and Masayoshi Son (Source: SoftBank Group; TechCrunch).

So what? If you run a European startup, your power costs and GPU access just got a new variable. France was already cheap (nuclear-backed grid) and politically friendly for AI. Now it is about to host one of the largest sovereign-leaning AI infrastructure footprints in Europe. For HR leaders, expect a fresh hiring war in northern France for site selection, energy procurement, and AI ops talent. The Taiwan AI export boom on one side of the world, and the French €45 billion build-out on the other, are two faces of the same capex cycle.

AlphaEvolve Graduated From Demo to Production

DeepMind’s May 2026 AlphaEvolve impact report shows the Gemini-powered coding agent now running inside Google infrastructure, quantum hardware, and biotech labs. For example, AlphaEvolve helped PacBio cut DNA sequencing errors by 30% through improvements to the DeepConsensus model. On Google’s Willow quantum processor, it suggested circuits with 10x lower error than previous baselines, enabling first-of-a-kind molecular simulations (Source: Google DeepMind).

So what for HR leaders? Coding agents are no longer pilot projects. They are sitting inside revenue-generating workflows at PacBio, Google Cloud, and quantum research teams. For your engineering org, you need to start measuring AI-augmented output per engineer as seriously as headcount cost. For talent and learning teams, the AI skills gap is shifting from coders to system designers. Test for judgment, not LeetCode. The 2026 edge is not who writes code. It is who decides what to build and what to leave to an agent.

Mercer: 82% of CEOs Say HR’s Future Is Humans Plus Digital Agents

Mercer’s Global Talent Trends 2026 report surveyed nearly 12,000 leaders worldwide. The result: 82% of CEOs now believe the future of HR lies in managing humans and digital agents side by side. Moreover, 98% of executives are planning org-design changes in response to AI (Source: Mercer Newsroom).

Therefore, if your HR org chart still reads “recruitment, ops, L&D, comp”, you are out of date. Agent supervision is a real category of work now. Specifically, someone on your team needs to own which AI agents for HR touch which workflows, who can override them, and how outcomes are measured. Most HR leaders do not have that role on their team yet. Hire for it, or train someone into it before Q4.

Quick Hits

• The European Commission’s full enforcement powers over general-purpose AI providers activate August 2, 2026. The Commission can demand documentation, conduct evaluations, and impose fines of up to 3% of global annual turnover or €15M, whichever is higher (artificialintelligenceact.eu).
• ServiceNow opened its system of action to any AI agent (Claude, Copilot, or custom-built) through a generally available MCP Server. Every action routes through the AI Control Tower for identity scoping and audit (ServiceNow Newsroom).
• Asana acquired no-code agent builder StackAI for $75 million on May 28, positioning itself as the operating system for human-agent teams. Founders Tony Rosinol and Bernard Aceituno join Asana (TechCrunch).

The Taiwan AI export boom is foreshadowing a hard truth. If your HR ops are getting tangled by the human-plus-agent shift, you do not have time to stitch four tools together. A unified platform that handles payroll, performance, and AI workflows in one place is faster. Asanify’s HR platform is built for that hybrid model. Worth a 20-minute look.

Frequently Asked Questions

What does the Taiwan AI export boom mean for global hiring?

Taiwan’s 9.64% growth forecast signals concentrated demand for AI infrastructure talent across Asia. HR leaders hiring in APAC should refresh compensation benchmarks for chip, hardware-software, and AI ops roles by Q3, because the wage premium for AI-adjacent skills is widening faster than local inflation.

Why are companies building AI data centers in France and Taiwan at the same time?

Both regions sit at a corner of the AI supply chain. Taiwan owns chip fabrication through TSMC and Foxconn. France offers cheap nuclear-backed power and a friendlier regulatory environment than Germany or the UK. The €75B French commitment and the Taiwan AI export boom are two sides of the same AI infrastructure cycle.

What is the EU AI Act August 2 deadline and who does it affect?

On August 2, 2026, the European Commission gains full supervision and enforcement powers over general-purpose AI providers. Companies offering GPAI models in the EU face documentation requirements, evaluations, and fines of up to 3% of annual global turnover. Compliance applies to non-EU providers selling into the EU market as well.

Not to be considered as tax, legal, financial or HR advice. Regulations change over time so please consult a lawyer, accountant  or Labour Law  expert for specific guidance.