Tech News
Talent wars in tech: Building skills pipelines instead of poaching

Poaching might win a headline, but it rarely builds a team. In the middle of the ongoing talent wars in tech, smart leaders are shifting from bidding wars to building skills pipelines. Instead of chasing the same senior engineers, they are cultivating early-career talent, partnering with universities, and opening internal routes to progress. The payoff is durability: lower churn, stronger culture, and capabilities that match the roadmap.
Talent wars in tech need a new playbook
Raiding competitors is costly and noisy. It also risks morale, because internal colleagues see higher-paid roles filled from outside. Meanwhile, non-compete clauses and premium salaries inflate hiring budgets. Therefore, the strategic move is clear: design a pipeline that brings people in earlier, develops them faster, and keeps them longer.
Work with universities to make pipelines real
Universities are ready partners, especially when collaboration benefits everyone—organisations, academics, and students. Big brands already attract graduates; however, smaller or fast-growing firms often fly under the radar. Consequently, they should amplify their presence through Careers Fairs, guest lectures, and campus projects. University Careers Services can help match lesser-known employers to motivated talent.
Go beyond long internships
Classic internships help, yet they touch only a few students and depend heavily on individual performance. Instead, consider shorter, sharper formats: one-week immersions, structured job shadowing, and skills sprints. These options are easier to resource, still deliver insight, and widen access.
Use “real play,” not role play
Students learn fastest through authentic problems. Co-create real challenges with faculty, then invite student teams to propose solutions. Add a small prize and showcase the winning ideas. You gain fresh thinking and free consultancy; students gain experience that translates to the workplace. As a result, your brand becomes memorable before recruitment begins.
Bring academics into industry
The exchange should flow both ways. Invite lecturers for short “industry residencies” so they can refresh their teaching with live examples and current constraints. Their updated courses, in turn, produce graduates who arrive job-ready.
Join advisory boards and co-design curricula
At a strategic level, apply to a University Advisory Board. Share what skills gaps you see, and help shape course content. Run gap-analysis workshops together; prioritise the capabilities your teams will need in 12–24 months. Include alumni voices, because they bridge the classroom and the shop floor.
Explore knowledge exchange and emerging tech
Universities often house labs, computing resources, or data expertise that can accelerate your R&D. In fast-moving fields—artificial intelligence, for instance—structured knowledge exchange lets both sides move quicker, with clearer ethics and better governance.
Encourage and advance the talent you already have
Pipelines are not only external. Internal mobility keeps knowledge in the building and sends a powerful signal: grow here. Start by identifying high-potential employees through reviews or a simple talent program. Then, provide transparent routes to new roles, including cross-functional projects that expand networks and skills.
Next, offer stretch assignments with visible outcomes. Pair emerging talent with mentors who have navigated similar steps. Crucially, highlight success stories—people need to “see it to be it.” When employees believe progress is possible, retention improves and recruitment spend falls.
Moreover, consider executive education with university partners. Short, targeted programmes can upskill cohorts in data fluency, product thinking, or AI literacy. Because the content is tailored, the impact lands quickly on live projects.
A practical roadmap to start this quarter
First, map your most repeatable entry-level roles and the skills that matter. Second, pick two universities and propose a challenge brief and a one-week immersion. Third, create a lightweight internal mobility guide that spells out pathways, application windows, and evaluation criteria. Finally, name ten mentors and match them to early-career employees.
Within one cycle, you will have a visible pipeline, a stronger campus presence, and early wins that compound over time. Importantly, you will rely less on the churn and noise of the market.
The bottom line
The talent wars in tech won’t disappear. However, companies that build skills pipelines—through genuine university partnerships and deliberate internal growth—will spend less fighting fires and more delivering products. That edge compounds. And so does loyalty.
Check out our previous post, AI facility management: PROVEN Robotics at SFMA 2025
Tech News
Snowflake powers KSA’s Zahid Group’s data and AI transformation to unlock enterprise value
Zahid Group, one of Saudi Arabia’s leading diversified business groups spanning heavy equipment, energy, transport and manufacturing, and others, has selected Snowflake, the AI Data Cloud company, as the strategic foundation for its enterprise data and AI transformation, giving the Group a scalable way to strengthen governance, advance AI adoption, and elevate customer experiences enterprise-wide. The relationship was formalized during a signing ceremony at Zahid Business Park in Jeddah, launching a multi-year investment that will strengthen productivity and support technology-led growth in line with Saudi Vision 2030.
With Snowflake, Zahid Group’s Digital Solutions Division is unifying data from across its business streams and departments on a governed, secure, centralized and scalable lakehouse platform. A modern business intelligence ecosystem will give leaders faster access to information, enabling them to spend less time reconciling reports and more time acting on insights. The next phase will use Snowflake Cortex AI to enable employees to engage with data through natural language, reducing reliance on traditional reporting and shortening the path from question to decision.
Snowflake’s adoption at Zahid Group comes as Saudi Arabia accelerates its goal of becoming the Middle East’s leading AI infrastructure and technology hub. The Council of Ministers has designated 2026 as the Year of AI, and PwC estimates that AI could contribute around 12.4% of the country’s GDP by 2030.
Before adopting Snowflake, Zahid Group’s data was dispersed across multiple systems, requiring extensive manual consolidation and resulting in reporting inconsistencies that slowed decision-making. As an early proof of value, the Caterpillar Helios initiative demonstrated the power of secure, real-time data sharing through Snowflake. Building on this foundation, Zahid Group is now extending Snowflake’s capabilities across its digital ecosystem, enabling real-time data streaming and integration with core platforms such as Infor and Salesforce.
This connected architecture has standardized critical reporting processes, reducing month-end reporting cycles from days to hours, and in many cases minutes. By eliminating manual effort and improving data consistency, it provides leaders with timely, trusted insights that support faster decision-making and strengthen a culture of data-driven innovation.
Suzan Sadek, Group IT Manager, Zahid Group, said: “Data is one of the most valuable assets of the digital economy. By choosing Snowflake, we are building a trusted and scalable data foundation that enables AI-driven innovation, faster decision-making, and improved customer experience. This transformation strengthens Zahid Group’s competitiveness, while supporting Saudi Arabia’s Vision 2030 ambition to create a data-driven economy.”
Michel Nader, General Manager for the Middle East, Turkey & Africa, Snowflake, said: “Zahid Group is demonstrating how trusted data can become the foundation for enterprise AI at scale. Snowflake brings information closer to customers while providing leading AI capabilities to enable digital transformation across Zahid’s operating environment. We are proud to support the company’s next phase too, where employees can access trusted insights faster and strengthen the Group’s ability to create lasting and scalable value across its businesses.”
Looking ahead, Zahid Group will expand Snowflake’s platform’s role across the Group, extending governed data products, advanced analytics and AI capabilities into more business functions to deliver measurable value for customers, partners and employees.
Tech News
PNY Technologies Joins LEAP 2026 with the Latest AI Technologies – Riyadh, Saudi Arabia | 31 August to 3 September | Booth H3-D10
PNY Technologies announces its participation in LEAP 2026, taking place in Riyadh from 31 August to 3 September, where it will present its latest AI infrastructure and accelerated computing solutions.
The showcase will feature the technologies behind PNY’s AI infrastructure portfolio, from the AI Enterprise Factory to the latest NVIDIA RTX PRO and GeForce graphics solutions, together with networking and infrastructure technologies.
Visitors will also be able to explore the PNY AI Factory Digital Twin Configurator, which allows users to design and configure their own AI factory using digital twins and NVIDIA Omniverse.
PNY will also host live demonstrations developed in collaboration with its technology partners, including SOMOD, DDN, INFINIARC, VERTIV, and F5.
The company’s participation in LEAP 2026 reflects its continued commitment to supporting AI innovation across the Middle East and helping shape the technologies powering the region’s digital transformation.
The PNY team, including regional representatives, will be on-site throughout LEAP 2026 to meet with visitors, partners, and members of the media at Hall H3, Booth D10. Attendees wishing to arrange a briefing or interview are welcome to submit a request below.
Contact request: https://forms.pny.eu/pny-at-leap-2026/
Press contact: sverdier@pny.com / mhamdouche@pny.com
Tech News
Globant Introduces Glob.AI, Reinventing Technology Services for the AI Era
Globant (NYSE: GLOB), a global company focused on driving enterprise reinvention through AI, today introduces Glob.AI, a new AI-native tech services model that fundamentally changes how enterprises access, purchase and deploy AI services. Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high quality AI Pods (service units run by a set of AI agents and supervised by humans). Companies are charged for what they produce -per output or per consumption- never per seat or per hour.

“For over 20 years, Globant has stayed ahead of every major technology shift, and AI is no different. Glob.AI is our next step: the one-stop shop where our AI Pods live, each specialized by task and industry. Traditional AI adoption drives token consumption far beyond what efficient output requires, and the real cost is the wasted tokens plus the unstructured, manual supervision of AI. AI Pods introduce a smarter model, running the right AI through parallel agents, loops, workflows, and deterministic processes, representing the true state of the art of what AI can deliver today,” said Martín Migoya, CEO and co-founder of Globant.
Glob.AI brings together AI-native velocity with Globant’s 23 years of enterprise delivery baked into the governance layer. AI agents do the heavy lifting, with Globant’s experts supervising their outputs and guiding every step. Glob.AI works to standards–documented, tested, secure, built for enterprise scale. It’s the speed AI promises, with the rigor and quality that businesses need, by including:
- Well-defined, deterministic, and repeatable processes, supervised end to end by experts
- Optimized AI usage and transparent pricing: customers pay strictly for expert-validated outputs and/or real consumption — not hours, seats, AI hallucinations, retries, or wasted cycles.
- At least 30% more productive than the typical engineer-plus-AI approach
- Full AI sovereignty and governance: total flexibility over which models customers use and where they run them, with zero client data ever used to train external models.
- Token consumption secured in a client’s proprietary Token Vault, providing full traceability and compounding a client’s institutional knowledge over time.
“AI is not just making the same projects faster, it is making thousands of projects viable that never were before,” said Guibert Englebienne, co-founder of Globant. “Until today, enterprises could not buy technology services this way: instantly, transparently, paying only for results. That is the shift Glob.AI delivers, and the strong demand for AI Pods shows enterprises are ready for it.”
Organizations joining the waiting list at Glob.AI will gain early access to a comprehensive catalog of agentic workflows capable of building and deploying solutions for enterprise platforms and specialized industry use cases. The AI Pods in the offering also include partnerships with major organizations including Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP and Salesforce.
Traditional enterprise tech services require months of discovery, RFPs, and procurement cycles before the work begins. Glob.AI changes that model entirely. Users can log in and immediately start building enterprise grade software. Tech delivery becomes a live, continuous service rather than a fixed-term project — every improvement and release happening on the platform, fully visible to the client, in real time.
Globant released AI Pods in mid-2025, and they are already in use by several Fortune 500 organizations across media, entertainment, professional services, and finance, delivering early results that include:
- FIFA experiencing a 20% efficiency increase in throughput generation while maintaining or improving quality rates
- LALIGA deploying AI across key functions in three months
- YPF reducing contract timelines by up to 40%
- PharmaMar achieving 15x faster insights in oncology research
- A leading commercial bank completing a COBOL migration in 2 months versus 14 as projected with a traditional approach
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