FNGR 8-K filed 2026 · insiderdelta

Item 7.01 Regulation FD Disclosure

On June 3, 2026, FingerMotion,
Inc. (the “Company” or “FingerMotion”) issued a news release to announce plans to expand its infrastructure strategy
through the development of modular AI-focused edge computing facilities designed to support the growing demand for localized artificial
intelligence processing and inference workloads.

The initiative builds upon the Company’s
existing telecommunications and technology platform operations and represents a strategic extension of the Company’s long-term infrastructure
and data services roadmap. The Company believes the rapid adoption of AI is driving demand for localized, energy-efficient computing infrastructure
that can process data closer to end users. Management emphasized that the Company’s approach is focused on edge-based AI inference
infrastructure rather than hyperscale cloud data center development.

“As AI adoption accelerates across industries,
we believe demand for localized inference infrastructure will continue to grow,” said Martin Shen, CEO of FingerMotion. “Our
strategy is focused on developing scalable edge computing solutions that can be deployed efficiently and expanded as demand increases.
Given our history of developing AI usage in our big data division, we view this initiative as a natural extension of our technology platform
and a potential driver of long-term shareholder value.”

Targeting the Growing Edge AI Inference Market

The Company believes AI inference demand
is expected to accelerate significantly as businesses deploy AI-enabled applications across sectors including manufacturing, logistics,
smart city systems, healthcare, transportation, and industrial automation.

Unlike cloud AI facilities that require substantial
capital investment and extended development timelines, the Company’s intended infrastructure model is to utilize modular, self-contained
AI compute units capable of incremental deployment based on customer demand and regional requirements. These self-contained AI computing
units are expected to support distributed AI workloads requiring real-time or near real-time processing, particularly in environments
where latency, bandwidth efficiency, and localized processing are critical.

Modular Micro-Grid Powered Infrastructure

The Company’s proposed infrastructure
design incorporates modular data center architecture powered by localized micro-grid energy systems. The Company believes this approach
may reduce deployment timelines while improving operational flexibility and energy efficiency.

Management believes that traditional large-scale
data center projects can require multiple years to complete due to permitting, construction, and utility infrastructure requirements.
The proposed modular deployment strategy is intended to accelerate infrastructure availability and provide scalable expansion capabilities
as demand increases.

The Company expects its edge infrastructure initiative
to complement its broader technology ecosystem while creating additional opportunities for recurring infrastructure-related revenue streams.

A copy of the news release is attached as Exhibit
99.1 hereto.

The information contained
in this Item 7.01 of this Current Report on Form 8-K, including Exhibit 99.1, is being furnished and shall not be deemed “filed”
for purposes of Section 18 of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), or otherwise subject to
the liabilities of that section, nor shall it be deemed incorporated by reference in any filing under the Securities Act of 1933, as amended,
or the Exchange Act, except as expressly set forth by specific reference in such filing.

SECTION 9 – FINANCIAL STATEMENTS AND EXHIBITS
FNGR Fingermotion, Inc. - 8-K

Item 7.01 - Regulation FD Disclosure

Item 9.01 - Financial Statements and Exhibits
