Speaking · Miami · Dec 4–6, 2026

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See my sessions
Member, Agentics Foundation All in on agentic AI

Jessica Smith · Talent, operations & signal intelligence

Energy & AI talent intelligence

Compute · Data · Energy · AI

I don’t plan from lagging indicators like last year’s requisitions. I track where capital is flowing (funding, contracts and executive moves across 113 industries) and turn those live signals into talent market briefs, competitor talent maps and demand forecasts, so you build pipeline before the req opens.

Now taking on a limited number of fractional and embedded talent strategy engagements.

Talent Strategy & Operations

Talent Strategy and Operations for A-Player Executives in the Next Era of Energy

The energy sector is pulling from the same finite pool of talent as the AI sector: the same engineers, trades and project leaders. Every data centre build and every grid upgrade is bidding for the same people.

I sit in the middle of that talent war and map it: who is hiring, raising and moving, and where your people will come from, 6-18 months before the req opens.

The executives who move now will be primed for 2027 and delivering their projects on time. The rest will be bottlenecked.

Book a call today →

On stage · Miami

Speaking at Future Wealth ’26

December 4–6, 2026 · Hyatt Regency Miami. Three days, two stages, 500+ founders, investors and operators on where capital, AI and energy are heading next.

Jessica Smith Founder, Savant

On the schedule

3 Sessions.

Dec 5 1:10 pm to 1:45 pm 35 min

The $30 Trillion Handover: Repositioning Capital for the Largest Wealth Transfer on Record

Future Stage Allocator Future Markets Real Estate & Real Assets

A $30 trillion transfer of wealth is underway, and the majority of it lands with women, through inheritance, survivorship and their own earnings. The advisory industry is not built for it and the products are not positioned for it. This panel looks at where that capital actually goes, and who is ready to receive it. Moderated by Kristin Myers.

On stage with JH Jenn Hildebrandt NB Natasha Burton NP Nicole Purvy KM Kristin Myers
Dec 5 3:10 pm to 3:40 pm 30 min

When to Exit: Selling Companies and Real Assets Before the Next Cycle Turns

Future Stage Allocator Real Estate & Real Assets

The next decade will reprice almost everything. AI is changing what companies are worth, rates and migration are redrawing real estate, and new kinds of buyers, from private credit to tokenized funds, are changing who sits on the other side of a sale. Most people spend years planning the buy and almost no time planning the exit. Justin Colby and Cedric Nash build companies and do real estate deals for a living, and Caleb Silver has spent more than twenty years covering the markets they sell into. They talk about how to tell a peak from a pause, the signals that say sell, hold or roll it into the next thing, and how to write your exit plan while you are calm, so it still exists when you are not. Moderated by Jessica Smith.

On stage with JC Justin Colby CN Cedric Nash CS Caleb Silver
Dec 6 1:15 pm to 1:55 pm 40 min

The Next Era in Agentic AI Will Belong to Those Who Own the Data and Signal Intelligence

The Lab Future Markets

Jessica Smith, founder of Savant, on why the next phase of agentic AI will favor whoever owns the data and the signal intelligence behind it.

Session times follow the official Future Wealth agenda and may shift. See my speaker page →

Systems-based thinker Lean operator Predictive talent mapping Player-coach

Systems-based talent strategy and operations leader with 12+ years in technical recruitment, founder-operator and former CGO. I apply Lean principles across departments, removing waste from hiring and making the tradeoffs between speed, quality and cost explicit.

I operate as a player-coach and lead with predictive talent mapping: mapping the people you will need 6 to 18 months before the req opens, hands on the work, while coaching founders, executives and hiring managers to act on the signals first.

The thesis

Hire ahead of the buildout, not behind it.

A note for executives

Month-end data is a rear-view mirror.

Most leadership teams still steer on numbers that arrive late: month-end labour reports, quarterly surveys and costly datasets refreshed on someone else’s schedule. By the time a shift shows up there, the round has closed, the executive has moved and your competitor has already hired.

Lagging indicators

  • Monthly jobs reports, published weeks after the month closes
  • Job postings: the receipt, filed after the decision was made
  • Expensive datasets refreshed monthly or quarterly

Live signals

  • Funding rounds, acquisitions and contracts, tracked as they’re filed
  • Executive moves and open seats, the week they happen
  • Read for what they mean for your talent and growth plan, not just logged

Think of me as a live business news desk for your company.

Intelligence on the moves that shape your market, tracked as they’re announced and filed, and turned into what to do next.

Disclaimer: signals are drawn from public filings and announcements and tracked as they’re published. They show direction, not certainty, and are meant to inform your decisions, not replace them. Nothing here is investment advice.

Why it matters now

The talent war is real, and lean teams can't afford to hire reactively

AI and energy are now competing for the same finite workforce: power and electrical engineers, data-centre builders, commissioning leads, skilled trades. The competition is fierce.

Primacy matters, and time kills all deals.

You can't afford for your projects to fall behind, and that starts with how quickly you can recruit your talent and get to it first, before the rest of the market finds out.

Systems-level thinking will be rewarded in the future of AI.

The winners won't be the companies with the most tools. They'll be the ones who connect capital, projects and people into one operating system.

Lean organizations win this by removing waste from hiring

01

Signal before the req

Forecast talent demand from market signals, not backfills, and build pipeline 6–18 months ahead.

02

Explicit tradeoffs

Make the choices between speed, quality and cost visible, so leaders decide on purpose.

03

Three qualified candidates per role, not ten

Precise talent mapping means less screening waste and faster decisions.

04

Know your competition

Competitor talent intelligence shows who else is hiring your people, and how fast you need to move.

Why me

A talent leader who thinks like an operator, sells like a growth exec, and builds with AI.

Systems-based thinking. 12+ years in technical recruitment, founder-operator and former Chief Growth Officer. I apply Lean principles across departments, removing waste from hiring and making the tradeoffs between speed, quality and cost explicit.

45→80+

Employees scaled at LiveSwitch on a TA operating system built from zero

33%

Faster time-to-fill at LiveSwitch by coaching hiring managers and removing bottlenecks

95%

Of LiveSwitch hires retained past six months

100%

Offer acceptance and 3:1 submittal-to-hire across 30+ SAP consulting hires at Illumiti

10x

Demo volume in 60 days as Chief Growth Officer, with a 32% demo-to-close rate

10+

Talent market briefs and competitor talent maps shared with energy, AI and fintech executives in 2026

Built from zero, at speed

  • At LiveSwitch I built the TA operating system from zero: SOPs, KPIs, recruitment dashboards and onboarding, scaling the company from 45 to 80+ employees.
  • I founded Savant and grew it from a technology recruitment agency into a fractional Talent, GTM, Operations and Agentic AI practice, embedding as an outcome-owning senior operator across 10 client businesses.
  • I move at the speed of the business: three engineering roles (full-stack, front-end and back-end) filled for one client in a single weekend.
  • As Chief Growth Officer of a B2B signal and market intelligence platform, I turned funding events, SEC 8-K filings and executive transitions into decision-ready signals.

Recognition

  • Top Recruiter 2020
  • Top Female Founder 2023–24
  • Top Staffing Leader to Watch 2024
  • Featured in The Globe and Mail and CTV

Systems thinking · Player-coach

The future of AI rewards systems-based thinkers.

As AI takes on more of the execution, the advantage moves to people who can see the whole machine: how hiring, operations, finance and growth connect, where the waste is, and which trade-off to make. Gartner's 2026 AI research describes the shift from building AI to accounting for what it does and what it costs. That's a systems problem, and executives will reward the operators who can design the system, not just run one part of it.

Systems-based thinker

I map how talent, operations and growth affect each other, apply Lean principles to remove waste from hiring, and make the trade-offs between speed, quality and cost explicit before anyone commits budget.

Predictive talent mapping

I use capital, executive and hiring signals to map the people you'll need 6 to 18 months before the req opens, so you know what you're up against and build pipeline ahead of the market.

Player-coach

I lead from the field: sourcing, mapping and building the AI workflows myself, while coaching founders, executives and hiring managers to make faster, better talent decisions.

All in on agentic AI

I don’t just talk about agentic AI. I run on it.

My own operating system is agentic: AI workflows that track capital, executive and hiring signals, draft talent market briefs and map competitor talent, with my judgement on every call. I bring the same systems thinking to your talent, operations and growth engine: lean, measurable and built to scale.

Talent strategy

  • Hiring manager enablement
  • Talent mapping
  • Data-driven talent and stakeholder strategy
  • Talent demand forecasting
  • Workforce planning support
  • Employer branding

Intelligence and data

  • Competitive talent intelligence
  • Signal and market intelligence
  • Data analysis and synthesis
  • Storytelling with data

Operations and growth

  • Systems-based thinking
  • Operational efficiency (lean)
  • Talent operations
  • Talent programs and onboarding design
  • Go-to-market and revenue growth
  • Executive coaching

Agentic AI and technical

  • Agentic AI strategy and deployment
  • AI-enabled recruiting workflows
  • Technical recruitment
  • Software development lifecycle
  • AI tools: Claude, ChatGPT, Google Gemini

Testimonials

Trusted by founders and operators

In a world where data integrity is paramount, Jessica is the only person I trust to keep it real.
John Dukes
John Dukes Founder, Fundz
I have worked with her the past 8 years within the various organizations I have worked at and is my Go To when I need vendor support.
George Psofimis
George Psofimis Senior Recruitment Manager, Total Performance Consulting
Her attention to detail, accountability, sense of urgency and high energy levels make her a pleasure to work with.
Nir Orbach
Nir Orbach CEO, Illumiti
We soon built an engineering team of 5 rock stars only because Jessica can find talent screened and already a good fit almost out of thin air.
Shota Zurabashvili
Shota Zurabashvili Engineering Manager, Fountain
Thanks to her incredible speed and responsiveness, we had one employee hired within just 30 days of starting with her, and another in only 20 days.
Kevin Combe
Kevin Combe Hippoc.AI
Her recommendations aren't based on intuition, they're backed by real-time data and strategic insights that drive results.
Mike Coffill
Mike Coffill Owner, Wages

Who we work with

Clients

Opta Information Intelligence
Mirai
Mackenzie Investments
Jonah Group
Foresters Financial
Cadillac Fairview
Nexeya
Hippoc

Questions

Frequently asked

What is talent signal intelligence?

Tracking the events that create hiring demand before job postings appear: funding rounds, contracts, acquisitions and executive moves. It tells you which roles will get competitive, and who you will be competing with, months before the req opens.

How is this different from labour market data?

Labour market reports and job postings are lagging indicators; they describe hiring that has already happened. Signals come first, so you can set your talent strategy while competitors are still writing the job description.

What is a Critical Role Talent Map?

A fixed-price, five-business-day strategy map for one hard-to-fill role: which companies and markets hold that talent, who else is competing for it, how fast you need to move, and the tradeoffs between speed, quality and cost. It is a strategy deliverable, not a candidate list.

Who do you work with?

Energy, oil and gas, power and data centre companies, plus the AI and infrastructure companies competing with them for the same talent, globally, including Canada and the US.

How do I get started?

Book a call. We will pick one critical role and I will show you the signals already moving around it.

savant.

Talent strategy and signal intelligence for energy and AI. jessica@savantrecruitment.io