2026 Investment Strategy: Earnings Momentum Has the Answer! | Jeong Hee-seok, Vincent

2026년 투자 전략, 실적 모멘텀에 답 있다! | 정희석, 빈센트 [밥 보다 투자 하나]
Watch on YouTube ↗  |  January 02, 2026 at 04:02  |  47:58  |  3PRO TV (삼프로TV)
Speakers
Jeong Hee-seok — Private Banker, Hana Securities Centerfield W

Summary

Jeong Hee-seok, a private banker at Hana Securities Centerfield W, joined Vincent to outline his 2026 investment strategy. He argues that investors should concentrate on companies with above-consensus revenue growth and simultaneous margin improvement, where AI tech and memory are the strongest themes. He details coming shortages in memory, AI PCB, optical components, and power semiconductors, and explains Nvidia's 800V DC data-center transition and its impact on SiC/GaN and ESS. He remains positive on Korean tech/memory, Alphabet, and AI infrastructure, while cautioning against premature diversification into lagging sectors.

  • The 2026 strategy centers on earnings momentum: revenue growth above consensus plus improving profitability.
  • AI service traffic growth is the key demand driver, making memory semiconductors the most sensitive AI component and a core allocation.
  • The speaker sees likely 2026 shortages in memory, AI PCB, optical components, and power semiconductors, with China exclusion favoring U.S./Korean suppliers.
  • Nvidia's 800V DC data-center power architecture is expected from 2027, requiring SiC/GaN power semis and shifting UPS to ESS.
  • Korean market strength is expected to remain memory/tech-led, and the speaker remains positive on Alphabet's AI position.
  • He prefers staying concentrated in tech/AI over diversifying into batteries or biotech for now.
Ideas
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 1:43
Focus on earnings momentum in tech.
For 2026, focus on companies whose revenue growth exceeds consensus and whose profitability improves simultaneously. The AI value chain and technology sector currently best fit this earnings-momentum filter, and for general investors it is still more efficient to stay concentrated in tech/AI than to diversify into lagging sectors.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 2:11
Memory is core AI shortage.
AI service traffic is the key driver, and memory is the most traffic-sensitive part of the AI value chain. Demand for HBM, server DRAM, KV-cache/vector-database memory, and NAND/SSD is exceeding expectations, supply is limited to a few companies and countries, and earnings estimates are still rising. Korean memory makers satisfy both revenue growth and margin improvement and should be a core portfolio allocation.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 2:21
Korean market stays memory-tech led.
The KOSPI is at record highs and the Korean market should remain strong in 2026, led by memory and technology, because Korean memory leaders dominate the AI memory supply chain and are showing upward earnings revisions.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 9:28
AI optical parts face shortage.
Optical components are among the next AI value-chain segments expected to face shortage conditions in 2026, so related suppliers should be considered for investment.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 25:19
Alphabet's AI position still strengthens.
Even after Gemini 3.0 excitement marked a short-term price peak, he remains positive on Alphabet and expects Google to strengthen its position in the AI industry, implying further upside over time.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 27:09
AI PCB shortage favors Korea/US.
AI server architecture changes, including Nvidia's Rubin CPX and prefill/decode separation, add new midplane and infrastructure boards, increasing PCB content, layer count, area, and CCL grade. AI service traffic also boosts server demand. Chinese PCB suppliers face exclusion from the AI value chain, tightening supply and favoring U.S. and Korean PCB suppliers with pricing and margin upside.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 37:25
800V shift lifts SiC/GaN.
From 2027, AI data centers are expected to adopt Nvidia's 800V DC power architecture, eliminating multiple AC/DC conversions and step-down losses. This requires SiC and GaN power semiconductors rather than silicon-based devices. China's exclusion from AI supply chains should benefit U.S., Korean, and European power semiconductor suppliers, creating new demand and earnings momentum from 2026.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 38:01
800V DC data center transition.
AI data centers are shifting to an 800V DC power infrastructure from 2027, a concept set by Nvidia and likely followed by hyperscalers. The change removes repeated AC/DC conversions and voltage step-downs, reducing power losses and copper usage, and creates major investment opportunities in data-center power infrastructure.
Jeong Hee-seok Private Banker, Hana Securities Centerfield W 44:20
AI data centers need more ESS.
In the new 800V DC AI data center architecture, the role previously played by battery-based UPS systems shifts to ESS. As AI data centers are built out, ESS demand from this end market can surge.
Up Next

This 3PRO TV (삼프로TV) video, published January 02, 2026, features Jeong Hee-seok discussing XLK, AI value chain, SMH, 000660.KS, 005930.KS, MU, EWY, AI optical components, GOOGL, AI PCB, Korean PCB suppliers, U.S. PCB suppliers, Power semiconductors, SiC/GaN, AI-SECTOR, 800V DC power infrastructure, ESS, AI data center ESS. 9 trade ideas extracted by AI with direction and confidence scoring.

Speakers: Jeong Hee-seok  · Tickers: XLK, AI value chain, SMH, 000660.KS, 005930.KS, MU, EWY, AI optical components, GOOGL, AI PCB, Korean PCB suppliers, U.S. PCB suppliers, Power semiconductors, SiC/GaN, AI-SECTOR, 800V DC power infrastructure, ESS, AI data center ESS