10 เทคโนโลยี อิมแพกโลก เปลี่ยนชีวิตปี 2030 | Executive Espresso EP.445

Business-focused summary (strategy + execution)

The video (Executive Espresso EP.445) promotes an events-and-supply ecosystem approach in Thailand (Secret Summit 2023). It then summarizes a World Economic Forum (WEF) research brief on 10 emerging technologies likely to drive economic/social change in the next 3–5 years, with an emphasis on how businesses and organizations should prepare across operations, workforce readiness, infrastructure, and ethics.

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1) Secret Summit 2023 (Thailand): go-to-market + capability-building playbook

“Secret Source Summit 2023” is positioned as a comprehensive pipeline for entrepreneurs and business leaders to update strategy and execute amid change.

Core offers / operating model

• In-depth conferences on business trends for 2024:
  • Economic trends
  • Strategic trends
  • Marketing trends
  • Technology framed as shifting from sustainability to human resource management
• Case studies / success stories
  • Executives, entrepreneurs, and professionals—including failures
• Workshops to upskill
  • Equip people with technical/legal knowledge, including topics like:
    • Carbon
    • Quantum mechanics
    • Data attribution (DAT)
    • IPO readiness
• B2B marketplace / solution hub for SMEs
  • Networking lounge categories:
    • Finance
    • Enterprise solutions
    • Branding & marketing
    • People & workplace
  • Target outcome:
    • Build partnerships, close deals, and grow a business community (3,000+ people)

Dates & logistics

• Sep 9–10, 2023 (Sat–Sun)
• Venue: Broom 1 & 2, National Convention Center Sirikit

Pricing / timeline

• Early Bird: 2,990 THB
• Discounted rate: 1,990 THB until Aug 20

Actionable recommendations implied

• Treat “trend learning” as:
  • Capability development (workshops)
  • Deal execution (marketplace/networking)
• Prepare cross-functional readiness (legal, data, carbon, HR), not just technology adoption.

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2) WEF “Top Ten Emerging Technologies of 2030” (impact framework + business preparation)

The host frames adoption decisions using WEF criteria and an “impact scoring” model, ranking technologies by expected impact within 3–5 years.

WEF selection / rating framework (as described)

• Novelty requirement
  • Not an already-existing, mature commodity technology (e.g., “electricity” isn’t treated as emerging)
• Practical availability
  • Mature enough to implement
• Likelihood of adoption
  • Not overly far-fetched
  • Expected to generate excitement if developed by more than one company
• Time horizon
  • Experts expect impact in 3–5 years
• Impact measurement via 5 dimensions (organization-style KPI model)
  • People: safety/dignity; access to essential resources; quality of life
  • Planet: surround/restore/protect/revive; biodiversity; waste/emissions
  • Prosperity: quality; jobs; new markets; disruption and equity
  • Peace / partnership-like dimension: connection/equity; “prospering together”
  • A 5th dimension is referenced indirectly via a “5D model,” with the video emphasizing organizational use of these scores

KPI-style takeaway from the scoring

• Flexible batteries rank #1 by prosperity/industry impact.
• Dimension scores shown numerically (example values given):
  • Planet ~9
  • People ~8
  • Industry ~8
  • Prosperity ~8
  • Equity ~7.5

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3) The 10 emerging technologies (business execution lens)

Below are the ranked technologies (high level) and the operational implications described.

#1 Flexible batteries

What it enables (execution use cases)

• Lighter, wearable, bendable electronics (e.g., smart clothing, medical wearables, flexible screens/smartwatch components)
• Wearable medical sensing for health monitoring and remote tracking

Market signals mentioned

• Global flexible battery market:
  • Expansion of +$240.47M (2022–2027)
  • CAGR 22.79%
• Example companies mentioned:
  • LG, Samsung, Apple, Nokia
  • Suppliers cited: Frontage Technology, SGM Micro Electronics

Operational / management caveats

• End-of-life disposal and lifecycle management are highlighted (recycling/lifecycle handling required)
• Manufacturing and standards must adapt to flexible form factors

Business recommendation

• If adopting wearable tech/sensors, build product lifecycle + compliance planning (standards + disposal + maintenance), not just R&D.

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#2 Generative/AI

• Treated as already close to life and expanding quickly, with near-term application potential (examples referenced later include drug/architectural design concepts).

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#3 Sustainable aviation fuel (SAF)

Why it matters operationally

• Aviation decarbonization is portrayed as harder than ground transport due to energy requirements and operational constraints.
• SAF is positioned as a near-term lever rather than expecting immediate full structural change.

Targets / numbers mentioned

• SAF currently around 1% of global total
• Target to reach 13–15% by 2044 to support aviation toward net-zero by 2050
• IATA involvement referenced
• Sustainable aviation reportedly increased to about 300 million liters in 2021 (wording suggests growth to that level)

Business recommendation

• For airlines/aviation suppliers: treat SAF like staged deployment—start with testing, then scale as supply and cost improve.

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#4 Microbiome engineering / phase-engineering + virus engineering

Business relevance

• Personalizing treatments by modifying microbiome/biological processes
• Potential disease treatment pathways linked to microbiome-linked conditions

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#5 VR/AR + mental health

Market/workflow implications

• VR/AR for prevention, diagnosis, treatment, information, and research in mental healthcare
• Example tools/companies referenced:
  • Deepwelling
  • A company referenced as TRIP / My Full Meterverse
• Wearable “emotion” headsets described:
  • Electrodes measure emotional state
  • Adjust music based on readings

Execution recommendation

• Build a “technology-based care center” capability:
  • Integrate tools into clinical workflows
  • Measure outcomes

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#6 Plant sensor / variable “pants sensor” for agriculture

Operational KPI targets

• Goal: food security and production resilience
• UN reference:
  • Need 70% more food by 2050 than today (core message: production uplift)

How adoption changes operations

• Reduce costly multi-step monitoring with lower-cost plant-level data capture
• Evolve beyond satellites/drones toward embedded sensors for:
  • Temperature, humidity, nutrients
  • Reducing water, fertilizer, pesticide usage
  • Disease risk detection (orchard disease risk noted)

Constraints / adoption barriers

• Sensors are described as expensive and hard to maintain, requiring expertise

Business recommendation

• For agritech and farm operators:
  • Start with hybrid models (drones/tractors + sensor pilots)
  • Build maintenance/service capability
  • Track ROI using yield and input-reduction metrics

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#7 Special omics (cell/tissue biological intelligence)

Business impact

• Better mapping of molecular/biochemical processes
• Applications referenced:
  • Understanding disease biological states
  • Potential treatment pathways (examples include Alzheimer’s and post-COVID organ/tissue changes)

Market signal

• $232.6M (2021) → ~$500.87M by 2030 (presented as roughly doubling)

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#8 Flexible neuroelectronics (brain–machine / BMI-style interfaces)

Operational implications

• Flexible materials reduce scarring/displacement risk
• Potential uses:
  • Communication devices
  • Medical devices (epilepsy treatment mentioned)
  • Prosthetic limb control

Business risks

• Ethics + privacy emphasized (data disclosure and protections needed)

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#9 Sustainable cloud computing (data center energy efficiency)

Execution details (operations playbook)

• Data centers/cloud consume electricity; claims include:
  • data storage/processing can use up to ~1% of world electricity (as stated)
• Business levers:
  • AI-based cooling control
  • Heat reuse (example: turning excess heat into household insulation; Scandinavia referenced)
  • Demand-based operation (turning off/sleep mode when not in use)

Concrete performance claim

• AI systems for data center optimization can reduce electricity usage by up to 40% (as stated)
• Emphasis on “flexible data center models” (utilization + demand-based controls)

Business recommendation

• If operating/selling cloud workloads:
  • Implement energy KPI dashboards
  • Run optimization loops (cooling + workload scheduling)

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#10 AI-facilitated healthcare

Operational outcomes

• Faster triage/diagnosis support
• Reduced waiting times
• Imaging assistance (CT/radiology-like tasks)
• Medical decision support and improved resource allocation in underserved regions/shortages

Example company

• Medical Confidence (AI supports patient treatment needs based on facility availability)

Business/system strategy

• Mentions pandemic preparedness via machine learning forecasting
• Repeated themes:
  • privacy and public acceptance
  • ethical governance for adoption

Business recommendation

• Treat AI healthcare deployment as a compliance + trust program:
  • data privacy + transparency
  • integration into clinical workflows
  • measurable KPIs (waiting time, diagnosis time, resource allocation efficiency)

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Cross-cutting leadership themes / “how to adopt” guidance (implied)

• Workforce upskilling as a core mitigation lever for job replacement
• Disclosure and ethics
  • Disclose goals to prevent misuse and address negative consequences
• Organizational impact scoring
  • Use the 5-dimensional impact “gauge” to evaluate technologies before committing

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Presenters / sources

Source organization

• World Economic Forum (WEF) — research referenced (subtitle wording suggests “Top Ten Emerging Technologies of the 2030 Center for the First Industrial Development”, though wording may be imprecise due to auto-captions)

Presenter / host(s)

• The video appears hosted by Executive Espresso (EP.445) and includes speakers at Secret Summit 2023
• Individual names were not clearly stated in the provided subtitles

Named external figures / brands mentioned

• Jerry (described as MD of the World Economic Forum in subtitles)
• Cross Walk (described as founder of the World Economic Forum; name likely garbled)
• Companies/brands referenced:
  • LG, Samsung, Apple, Nokia
  • Deepwelling, TRIP, Covera, FitTech
  • Medical Confidence, Google (DeepMind referenced), NASA